Converting a DataStream into a Table throws error

[Mich Talebzadeh]

Appreciate if anyone had a chance to look at the Scala code in GitHub and advise

https://github.com/michTalebzadeh/Flink

Regards,

On Thu, 2 Aug 2018 at 09:06, Mich Talebzadeh <[hidden email]> wrote:

Thanks Timo,

Did as suggested getting this compilation error

[info] Compiling 1 Scala source to /home/hduser/dba/bin/flink/md_streaming/target/scala-2.11/classes...
[error] /home/hduser/dba/bin/flink/md_streaming/src/main/scala/myPackage/md_streaming.scala:136: could not find implicit value for evidence parameter of type org.apache.flink.api.common.typeinfo.TypeInformation[String]
[error]        .addSource(new FlinkKafkaConsumer011[String](topicsValue, new SimpleStringSchema(), properties))
[error]                  ^
[error] one error found
[error] (compile:compileIncremental) Compilation failed

On Thu, 2 Aug 2018 at 09:01, Timo Walther <[hidden email]> wrote:

Whenever you use Scala and there is a Scala specific class use it.

remove: import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment
add: import org.apache.flink.streaming.api.scala._

This will use org.apache.flink.streaming.api.scala.StreamExecutionEnvironment.

Timo

Am 02.08.18 um 09:47 schrieb Mich Talebzadeh:

Tremendous. Many thanks.

Put the sbt build file and the Scala code here

https://github.com/michTalebzadeh/Flink

Regards,

On Thu, 2 Aug 2018 at 08:27, Timo Walther <[hidden email]> wrote:

Hi Mich,

could you share your project with us (maybe on github)? Then we can import it and debug what the problem is.

Regards,
Timo

Am 02.08.18 um 07:37 schrieb Mich Talebzadeh:

Hi Jorn,

Here you go the dependencies

libraryDependencies += "org.apache.hadoop" % "hadoop-core" % "1.2.1"
libraryDependencies += "org.apache.hbase" % "hbase" % "1.2.6"
libraryDependencies += "org.apache.hbase" % "hbase-client" % "1.2.6"
libraryDependencies += "org.apache.hbase" % "hbase-common" % "1.2.6"
libraryDependencies += "org.apache.hbase" % "hbase-server" % "1.2.6"

libraryDependencies += "org.apache.flink" %% "flink-connector-kafka-0.11" % "1.5.0"
libraryDependencies += "org.apache.flink" %% "flink-connector-kafka-base" % "1.5.0"
libraryDependencies += "org.apache.flink" %% "flink-scala" % "1.5.0"
libraryDependencies += "org.apache.kafka" % "kafka-clients" % "0.11.0.0"
libraryDependencies += "org.apache.flink" %% "flink-streaming-scala" % "1.5.0"
libraryDependencies += "org.apache.flink" %% "flink-table" % "1.5.0" % "provided"
libraryDependencies += "org.apache.kafka" %% "kafka" % "0.11.0.0"

Thanks

On Thu, 2 Aug 2018 at 06:19, Jörn Franke <[hidden email]> wrote:

How does your build.sbt looks especially dependencies?
On 2. Aug 2018, at 00:44, Mich Talebzadeh <[hidden email]> wrote:

Changed as suggested

   val  streamExecEnv = StreamExecutionEnvironment.getExecutionEnvironment
     val dataStream =  streamExecEnv
       .addSource(new FlinkKafkaConsumer011[String](topicsValue, new SimpleStringSchema(), properties))
  val tableEnv = TableEnvironment.getTableEnvironment(streamExecEnv)

  tableEnv.registerDataStream("table1", streamExecEnv, 'key, 'ticker, 'timeissued, 'price)

Still the same error

[info] Compiling 1 Scala source to /home/hduser/dba/bin/flink/md_streaming/target/scala-2.11/classes...
[error] /home/hduser/dba/bin/flink/md_streaming/src/main/scala/myPackage/md_streaming.scala:139: overloaded method value registerDataStream with alternatives:
[error]   [T](name: String, dataStream: org.apache.flink.streaming.api.datastream.DataStream[T], fields: String)Unit <and>
[error]   [T](name: String, dataStream: org.apache.flink.streaming.api.datastream.DataStream[T])Unit
[error]  cannot be applied to (String, org.apache.flink.streaming.api.environment.StreamExecutionEnvironment, Symbol, Symbol, Symbol, Symbol)
[error]   tableEnv.registerDataStream("table1", streamExecEnv, 'key, 'ticker, 'timeissued, 'price)
[error]            ^
[error] one error found
[error] (compile:compileIncremental) Compilation failed
[error] Total time: 3 s, completed Aug 1, 2018 11:40:47 PM

Thanks anyway.

On Wed, 1 Aug 2018 at 23:34, Fabian Hueske <[hidden email]> wrote:

Hi,

You have to pass the StreamExecutionEnvironment to the getTableEnvironment() method, not the DataStream (or DataStreamSource).

Change

val tableEnv = TableEnvironment.getTableEnvironment(dataStream)

to

val tableEnv = TableEnvironment.getTableEnvironment(streamExecEnv)

Best,

Fabian

2018-08-02 0:10 GMT+02:00 Mich Talebzadeh <[hidden email]>:

Hi,

FYI, these are my imports

import java.util.Properties
import java.util.Arrays
import org.apache.flink.api.common.functions.MapFunction
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment
import org.apache.flink.streaming.api.scala

import org.apache.flink.streaming.util.serialization.SimpleStringSchema
import org.apache.flink.table.api.TableEnvironment
import org.apache.flink.table.api.scala._
import org.apache.flink.api.scala._

import org.apache.kafka.clients.consumer.ConsumerConfig
import org.apache.kafka.clients.consumer.ConsumerRecord
import org.apache.kafka.clients.consumer.KafkaConsumer
import org.apache.flink.core.fs.FileSystem
import org.apache.flink.streaming.api.TimeCharacteristic

import org.slf4j.LoggerFactory
import org.apache.flink.streaming.connectors.kafka.{FlinkKafkaConsumer011, FlinkKafkaProducer011}
import java.util.Calendar
import java.util.Date
import java.text.DateFormat
import java.text.SimpleDateFormat
import org.apache.log4j.Logger
import org.apache.log4j.Level
import sys.process.stringSeqToProcess
import java.io.File

And this is the simple code

    val properties = new Properties()

    properties.setProperty("bootstrap.servers", bootstrapServers)
    properties.setProperty("zookeeper.connect", zookeeperConnect)
    properties.setProperty("group.id", flinkAppName)
    properties.setProperty("auto.offset.reset", "latest")
    val  streamExecEnv = StreamExecutionEnvironment.getExecutionEnvironment
    val dataStream =  streamExecEnv
       .addSource(new FlinkKafkaConsumer011[String](topicsValue, new SimpleStringSchema(), properties))
  val tableEnv = TableEnvironment.getTableEnvironment(dataStream)

  tableEnv.registerDataStream("table1", dataStream, 'key, 'ticker, 'timeissued, 'price)

And this is the compilation error

info] Compiling 1 Scala source to /home/hduser/dba/bin/flink/md_streaming/target/scala-2.11/classes...
[error] /home/hduser/dba/bin/flink/md_streaming/src/main/scala/myPackage/md_streaming.scala:138: overloaded method value getTableEnvironment with alternatives:
[error]   (executionEnvironment: org.apache.flink.streaming.api.scala.StreamExecutionEnvironment)org.apache.flink.table.api.scala.StreamTableEnvironment <and>
[error]   (executionEnvironment: org.apache.flink.streaming.api.environment.StreamExecutionEnvironment)org.apache.flink.table.api.java.StreamTableEnvironment <and>
[error]   (executionEnvironment: org.apache.flink.api.scala.ExecutionEnvironment)org.apache.flink.table.api.scala.BatchTableEnvironment <and>
[error]   (executionEnvironment: org.apache.flink.api.java.ExecutionEnvironment)org.apache.flink.table.api.java.BatchTableEnvironment
[error]  cannot be applied to (org.apache.flink.streaming.api.datastream.DataStreamSource[String])
[error]   val tableEnv = TableEnvironment.getTableEnvironment(dataStream)
[error]                                   ^
[error] one error found
[error] (compile:compileIncremental) Compilation failed
[error] Total time: 3 s, completed Aug 1, 2018 11:02:33 PM
Completed compiling

which is really strange

On Wed, 1 Aug 2018 at 13:42, Fabian Hueske <[hidden email]> wrote:

Hi I think you are mixing Java and Scala dependencies.

org.apache.flink.streaming.api.datastream.DataStream is the DataStream of the Java DataStream API.

You should use the DataStream of the Scala DataStream API.

Best, Fabian

2018-08-01 14:01 GMT+02:00 Mich Talebzadeh <[hidden email]>:

Hi,

I believed I tried Hequn's suggestion and tried again

import org.apache.flink.table.api.Table
import org.apache.flink.table.api.TableEnvironment
import org.apache.flink.table.api.scala._

Unfortunately I am still getting the same error!

[info] Compiling 1 Scala source to /home/hduser/dba/bin/flink/md_streaming/target/scala-2.11/classes...
[error] /home/hduser/dba/bin/flink/md_streaming/src/main/scala/myPackage/md_streaming.scala:151: overloaded method value fromDataStream with alternatives:
[error]   [T](dataStream: org.apache.flink.streaming.api.datastream.DataStream[T], fields: String)org.apache.flink.table.api.Table <and>
[error]   [T](dataStream: org.apache.flink.streaming.api.datastream.DataStream[T])org.apache.flink.table.api.Table
[error]  cannot be applied to (org.apache.flink.streaming.api.datastream.DataStreamSource[String], Symbol, Symbol, Symbol, Symbol)
[error]   val table1: Table = tableEnv.fromDataStream(dataStream, 'key, 'ticker, 'timeissued, 'price)
[error]                                ^
[error] one error found
[error] (compile:compileIncremental) Compilation failed
[error] Total time: 3 s, completed Aug 1, 2018 12:59:44 PM
Completed compiling

On Wed, 1 Aug 2018 at 10:03, Timo Walther <[hidden email]> wrote:

If these two imports are the only imports that you added, then you did not follow Hequn's advice or the link that I sent you.

You need to add the underscore imports to let Scala do its magic.

Timo


Am 01.08.18 um 10:28 schrieb Mich Talebzadeh:

Hi Timo,

These are my two flink table related imports

import org.apache.flink.table.api.Table
import org.apache.flink.table.api.TableEnvironment

And these are my dependencies building with SBT

libraryDependencies += "org.apache.hadoop" % "hadoop-core" % "1.2.1"
libraryDependencies += "org.apache.hbase" % "hbase" % "1.2.6"
libraryDependencies += "org.apache.hbase" % "hbase-client" % "1.2.6"
libraryDependencies += "org.apache.hbase" % "hbase-common" % "1.2.6"
libraryDependencies += "org.apache.hbase" % "hbase-server" % "1.2.6"

libraryDependencies += "org.apache.flink" %% "flink-connector-kafka-0.11" % "1.5.0"
libraryDependencies += "org.apache.flink" %% "flink-connector-kafka-base" % "1.5.0"
libraryDependencies += "org.apache.flink" %% "flink-scala" % "1.5.0"
libraryDependencies += "org.apache.kafka" % "kafka-clients" % "0.11.0.0"
libraryDependencies += "org.apache.flink" %% "flink-streaming-java" % "1.5.0" % "provided"
libraryDependencies += "org.apache.flink" %% "flink-table" % "1.5.0" % "provided"
libraryDependencies += "org.apache.kafka" %% "kafka" % "0.11.0.0"

There appears to be conflict somewhere that cause this error

[info] Compiling 1 Scala source to /home/hduser/dba/bin/flink/md_streaming/target/scala-2.11/classes...
[error] /home/hduser/dba/bin/flink/md_streaming/src/main/scala/myPackage/md_streaming.scala:152: overloaded method value fromDataStream with alternatives:
[error]   [T](dataStream: org.apache.flink.streaming.api.datastream.DataStream[T], fields: String)org.apache.flink.table.api.Table <and>
[error]   [T](dataStream: org.apache.flink.streaming.api.datastream.DataStream[T])org.apache.flink.table.api.Table
[error]  cannot be applied to (org.apache.flink.streaming.api.datastream.DataStreamSource[String], Symbol, Symbol, Symbol, Symbol)
[error]   val table1: Table = tableEnv.fromDataStream(dataStream, 'key, 'ticker, 'timeissued, 'price)
[error]                                ^
[error] one error found
[error] (compile:compileIncremental) Compilation failed

Thanks

On Wed, 1 Aug 2018 at 09:17, Timo Walther <[hidden email]> wrote:

Hi Mich,

I would check you imports again [1]. This is a pure compiler issue that is unrelated to your actual data stream. Also check your project dependencies.

Regards,
Timo

[1] https://ci.apache.org/projects/flink/flink-docs-master/dev/table/common.html#implicit-conversion-for-scala

Am 01.08.18 um 09:30 schrieb Mich Talebzadeh:

Hi both,

I added the import as Hequn suggested.

My stream is very simple and consists of 4 values separated by "," as below 

05521df6-4ccf-4b2f-b874-eb27d461b305,IBM,2018-07-30T19:51:50,190.48

So this is what I have been trying to do

Code

    val dataStream =  streamExecEnv
       .addSource(new FlinkKafkaConsumer011[String](topicsValue, new SimpleStringSchema(), properties))
 //
 //
  val tableEnv = TableEnvironment.getTableEnvironment(streamExecEnv)
  val table1: Table = tableEnv.fromDataStream(dataStream, 'key, 'ticker, 'timeissued, 'price)

note those four columns in Table1 definition

And this is the error being thrown

[info] Compiling 1 Scala source to /home/hduser/dba/bin/flink/md_streaming/target/scala-2.11/classes...
[error] /home/hduser/dba/bin/flink/md_streaming/src/main/scala/myPackage/md_streaming.scala:152: overloaded method value fromDataStream with alternatives:
[error]   [T](dataStream: org.apache.flink.streaming.api.datastream.DataStream[T], fields: String)org.apache.flink.table.api.Table <and>
[error]   [T](dataStream: org.apache.flink.streaming.api.datastream.DataStream[T])org.apache.flink.table.api.Table
[error]  cannot be applied to (org.apache.flink.streaming.api.datastream.DataStreamSource[String], Symbol, Symbol, Symbol, Symbol)
[error]   val table1: Table = tableEnv.fromDataStream(dataStream, 'key, 'ticker, 'timeissued, 'price)
[error]                               

[vino yang]

Hi Mich,

I have reviewed your code in the github you provided.

I copied your code to org.apache.flink.table.examples.scala under flink-examples-table. It passed the compilation and didn't report the exception you provided, although there are other exceptions (it's about hdfs, this is because of my environment).

First of all, the necessary dependencies are just a few:

<dependency>

<groupId>org.apache.flink</groupId>

<artifactId>flink-table_${scala.binary.version}</artifactId>

<version>${project.version}</version>

</dependency>

<dependency>

<groupId>org.apache.flink</groupId>

<artifactId>flink-streaming-scala_${scala.binary.version}</artifactId>

<version>${project.version}</version>

</dependency>

<dependency>

<groupId>org.apache.flink</groupId>

<artifactId>flink-connector-kafka-0.11_${scala.binary.version}</artifactId>

<version>${project.version}</version>

</dependency>

Please remove irrelevant dependencies.

In addition, your StreamExecutionEnvironment object has a problem with its reference. The correct path should be:

Import org.apache.flink.streaming.api.scala.StreamExecutionEnvironment

In addition, you specify four fields, but your stream object is DataStream[String]. This is also a mistake. You are advised to parse it first with a MapFunction. The example is as follows:

    Val dataStream = streamExecEnv

      .addSource(new FlinkKafkaConsumer011[String](topicsValue, new SimpleStringSchema(), properties))

    Val newDateStream = dataStream.map(new MapFunction[String, Tuple4[String, String, String, String]] {

      Override def map(value: String): Tuple4[String, String, String, String] = {

        Return null

      }

    })

    Val tableEnv = TableEnvironment.getTableEnvironment(streamExecEnv)

    //tableEnv.registerDataStream("table1", streamExecEnv, 'key, 'ticker, 'timeissued, 'price)

    tableEnv.registerDataStream("priceTable", newDateStream, 'key, 'ticker, 'timeissued, 'price)

Thanks, vino.

2018-08-02 20:36 GMT+08:00 Mich Talebzadeh <[hidden email]>:

Appreciate if anyone had a chance to look at the Scala code in GitHub and advise

https://github.com/michTalebzadeh/Flink

Regards,

On Thu, 2 Aug 2018 at 09:06, Mich Talebzadeh <[hidden email]> wrote:

Thanks Timo,

Did as suggested getting this compilation error

[info] Compiling 1 Scala source to /home/hduser/dba/bin/flink/md_streaming/target/scala-2.11/classes...
[error] /home/hduser/dba/bin/flink/md_streaming/src/main/scala/myPackage/md_streaming.scala:136: could not find implicit value for evidence parameter of type org.apache.flink.api.common.typeinfo.TypeInformation[String]
[error]        .addSource(new FlinkKafkaConsumer011[String](topicsValue, new SimpleStringSchema(), properties))
[error]                  ^
[error] one error found
[error] (compile:compileIncremental) Compilation failed

On Thu, 2 Aug 2018 at 09:01, Timo Walther <[hidden email]> wrote:

Whenever you use Scala and there is a Scala specific class use it.

remove: import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment
add: import org.apache.flink.streaming.api.scala._

This will use org.apache.flink.streaming.api.scala.StreamExecutionEnvironment.

Timo

Am 02.08.18 um 09:47 schrieb Mich Talebzadeh:

Tremendous. Many thanks.

Put the sbt build file and the Scala code here

https://github.com/michTalebzadeh/Flink

Regards,

On Thu, 2 Aug 2018 at 08:27, Timo Walther <[hidden email]> wrote:

Hi Mich,

could you share your project with us (maybe on github)? Then we can import it and debug what the problem is.

Regards,
Timo

Am 02.08.18 um 07:37 schrieb Mich Talebzadeh:

Hi Jorn,

Here you go the dependencies

libraryDependencies += "org.apache.hadoop" % "hadoop-core" % "1.2.1"
libraryDependencies += "org.apache.hbase" % "hbase" % "1.2.6"
libraryDependencies += "org.apache.hbase" % "hbase-client" % "1.2.6"
libraryDependencies += "org.apache.hbase" % "hbase-common" % "1.2.6"
libraryDependencies += "org.apache.hbase" % "hbase-server" % "1.2.6"

libraryDependencies += "org.apache.flink" %% "flink-connector-kafka-0.11" % "1.5.0"
libraryDependencies += "org.apache.flink" %% "flink-connector-kafka-base" % "1.5.0"
libraryDependencies += "org.apache.flink" %% "flink-scala" % "1.5.0"
libraryDependencies += "org.apache.kafka" % "kafka-clients" % "0.11.0.0"
libraryDependencies += "org.apache.flink" %% "flink-streaming-scala" % "1.5.0"
libraryDependencies += "org.apache.flink" %% "flink-table" % "1.5.0" % "provided"
libraryDependencies += "org.apache.kafka" %% "kafka" % "0.11.0.0"

Thanks

On Thu, 2 Aug 2018 at 06:19, Jörn Franke <[hidden email]> wrote:

How does your build.sbt looks especially dependencies?
On 2. Aug 2018, at 00:44, Mich Talebzadeh <[hidden email]> wrote:

Changed as suggested

   val  streamExecEnv = StreamExecutionEnvironment.getExecutionEnvironment
     val dataStream =  streamExecEnv
       .addSource(new FlinkKafkaConsumer011[String](topicsValue, new SimpleStringSchema(), properties))
  val tableEnv = TableEnvironment.getTableEnvironment(streamExecEnv)

  tableEnv.registerDataStream("table1", streamExecEnv, 'key, 'ticker, 'timeissued, 'price)

Still the same error

[info] Compiling 1 Scala source to /home/hduser/dba/bin/flink/md_streaming/target/scala-2.11/classes...
[error] /home/hduser/dba/bin/flink/md_streaming/src/main/scala/myPackage/md_streaming.scala:139: overloaded method value registerDataStream with alternatives:
[error]   [T](name: String, dataStream: org.apache.flink.streaming.api.datastream.DataStream[T], fields: String)Unit <and>
[error]   [T](name: String, dataStream: org.apache.flink.streaming.api.datastream.DataStream[T])Unit
[error]  cannot be applied to (String, org.apache.flink.streaming.api.environment.StreamExecutionEnvironment, Symbol, Symbol, Symbol, Symbol)
[error]   tableEnv.registerDataStream("table1", streamExecEnv, 'key, 'ticker, 'timeissued, 'price)
[error]            ^
[error] one error found
[error] (compile:compileIncremental) Compilation failed
[error] Total time: 3 s, completed Aug 1, 2018 11:40:47 PM

Thanks anyway.

On Wed, 1 Aug 2018 at 23:34, Fabian Hueske <[hidden email]> wrote:

Hi,

You have to pass the StreamExecutionEnvironment to the getTableEnvironment() method, not the DataStream (or DataStreamSource).

Change

val tableEnv = TableEnvironment.getTableEnvironment(dataStream)

to

val tableEnv = TableEnvironment.getTableEnvironment(streamExecEnv)

Best,

Fabian

2018-08-02 0:10 GMT+02:00 Mich Talebzadeh <[hidden email]>:

Hi,

FYI, these are my imports

import java.util.Properties
import java.util.Arrays
import org.apache.flink.api.common.functions.MapFunction
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment
import org.apache.flink.streaming.api.scala

import org.apache.flink.streaming.util.serialization.SimpleStringSchema
import org.apache.flink.table.api.TableEnvironment
import org.apache.flink.table.api.scala._
import org.apache.flink.api.scala._

import org.apache.kafka.clients.consumer.ConsumerConfig
import org.apache.kafka.clients.consumer.ConsumerRecord
import org.apache.kafka.clients.consumer.KafkaConsumer
import org.apache.flink.core.fs.FileSystem
import org.apache.flink.streaming.api.TimeCharacteristic

import org.slf4j.LoggerFactory
import org.apache.flink.streaming.connectors.kafka.{FlinkKafkaConsumer011, FlinkKafkaProducer011}
import java.util.Calendar
import java.util.Date
import java.text.DateFormat
import java.text.SimpleDateFormat
import org.apache.log4j.Logger
import org.apache.log4j.Level
import sys.process.stringSeqToProcess
import java.io.File

And this is the simple code

    val properties = new Properties()

    properties.setProperty("bootstrap.servers", bootstrapServers)
    properties.setProperty("zookeeper.connect", zookeeperConnect)
    properties.setProperty("group.id", flinkAppName)
    properties.setProperty("auto.offset.reset", "latest")
    val  streamExecEnv = StreamExecutionEnvironment.getExecutionEnvironment
    val dataStream =  streamExecEnv
       .addSource(new FlinkKafkaConsumer011[String](topicsValue, new SimpleStringSchema(), properties))
  val tableEnv = TableEnvironment.getTableEnvironment(dataStream)

  tableEnv.registerDataStream("table1", dataStream, 'key, 'ticker, 'timeissued, 'price)

And this is the compilation error

info] Compiling 1 Scala source to /home/hduser/dba/bin/flink/md_streaming/target/scala-2.11/classes...
[error] /home/hduser/dba/bin/flink/md_streaming/src/main/scala/myPackage/md_streaming.scala:138: overloaded method value getTableEnvironment with alternatives:
[error]   (executionEnvironment: org.apache.flink.streaming.api.scala.StreamExecutionEnvironment)org.apache.flink.table.api.scala.StreamTableEnvironment <and>
[error]   (executionEnvironment: org.apache.flink.streaming.api.environment.StreamExecutionEnvironment)org.apache.flink.table.api.java.StreamTableEnvironment <and>
[error]   (executionEnvironment: org.apache.flink.api.scala.ExecutionEnvironment)org.apache.flink.table.api.scala.BatchTableEnvironment <and>
[error]   (executionEnvironment: org.apache.flink.api.java.ExecutionEnvironment)org.apache.flink.table.api.java.BatchTableEnvironment
[error]  cannot be applied to (org.apache.flink.streaming.api.datastream.DataStreamSource[String])
[error]   val tableEnv = TableEnvironment.getTableEnvironment(dataStream)
[error]                                   ^
[error] one error found
[error] (compile:compileIncremental) Compilation failed
[error] Total time: 3 s, completed Aug 1, 2018 11:02:33 PM
Completed compiling

which is really strange

On Wed, 1 Aug 2018 at 13:42, Fabian Hueske <[hidden email]> wrote:

Hi I think you are mixing Java and Scala dependencies.

org.apache.flink.streaming.api.datastream.DataStream is the DataStream of the Java DataStream API.

You should use the DataStream of the Scala DataStream API.

Best, Fabian

2018-08-01 14:01 GMT+02:00 Mich Talebzadeh <[hidden email]>:

Hi,

I believed I tried Hequn's suggestion and tried again

import org.apache.flink.table.api.Table
import org.apache.flink.table.api.TableEnvironment
import org.apache.flink.table.api.scala._

Unfortunately I am still getting the same error!

[info] Compiling 1 Scala source to /home/hduser/dba/bin/flink/md_streaming/target/scala-2.11/classes...
[error] /home/hduser/dba/bin/flink/md_streaming/src/main/scala/myPackage/md_streaming.scala:151: overloaded method value fromDataStream with alternatives:
[error]   [T](dataStream: org.apache.flink.streaming.api.datastream.DataStream[T], fields: String)org.apache.flink.table.api.Table <and>
[error]   [T](dataStream: org.apache.flink.streaming.api.datastream.DataStream[T])org.apache.flink.table.api.Table
[error]  cannot be applied to (org.apache.flink.streaming.api.datastream.DataStreamSource[String], Symbol, Symbol, Symbol, Symbol)
[error]   val table1: Table = tableEnv.fromDataStream(dataStream, 'key, 'ticker, 'timeissued, 'price)
[error]                                ^
[error] one error found
[error] (compile:compileIncremental) Compilation failed
[error] Total time: 3 s, completed Aug 1, 2018 12:59:44 PM
Completed compiling

On Wed, 1 Aug 2018 at 10:03, Timo Walther <[hidden email]> wrote:

If these two imports are the only imports that you added, then you did not follow Hequn's advice or the link that I sent you.

You need to add the underscore imports to let Scala do its magic.

Timo


Am 01.08.18 um 10:28 schrieb Mich Talebzadeh:

Hi Timo,

These are my two flink table related imports

import org.apache.flink.table.api.Table
import org.apache.flink.table.api.TableEnvironment

And these are my dependencies building with SBT

libraryDependencies += "org.apache.hadoop" % "hadoop-core" % "1.2.1"
libraryDependencies += "org.apache.hbase" % "hbase" % "1.2.6"
libraryDependencies += "org.apache.hbase" % "hbase-client" % "1.2.6"
libraryDependencies += "org.apache.hbase" % "hbase-common" % "1.2.6"
libraryDependencies += "org.apache.hbase" % "hbase-server" % "1.2.6"

libraryDependencies += "org.apache.flink" %% "flink-connector-kafka-0.11" % "1.5.0"
libraryDependencies += "org.apache.flink" %% "flink-connector-kafka-base" % "1.5.0"
libraryDependencies += "org.apache.flink" %% "flink-scala" % "1.5.0"
libraryDependencies += "org.apache.kafka" % "kafka-clients" % "0.11.0.0"
libraryDependencies += "org.apache.flink" %% "flink-streaming-java" % "1.5.0" % "provided"
libraryDependencies += "org.apache.flink" %% "flink-table" % "1.5.0" % "provided"
libraryDependencies += "org.apache.kafka" %% "kafka" % "0.11.0.0"

There appears to be conflict somewhere that cause this error

[info] Compiling 1 Scala source to /home/hduser/dba/bin/flink/md_streaming/target/scala-2.11/classes...
[error] /home/hduser/dba/bin/flink/md_streaming/src/main/scala/myPackage/md_streaming.scala:152: overloaded method value fromDataStream with alternatives:
[error]   [T](dataStream: org.apache.flink.streaming.api.datastream.DataStream[T], fields: String)org.apache.flink.table.api.Table <and>
[error]   [T](dataStream: org.apache.flink.streaming.api.datastream.DataStream[T])org.apache.flink.table.api.Table
[error]  cannot be applied to (org.apache.flink.streaming.api.datastream.DataStreamSource[String], Symbol, Symbol, Symbol, Symbol)
[error]   val table1: Table = tableEnv.fromDataStream(dataStream, 'key, 'ticker, 'timeissued, 'price)
[error]                                ^
[error] one error found
[error] (compile:compileIncremental) Compilation failed

Thanks

On Wed, 1 Aug 2018 at 09:17, Timo Walther <[hidden email]> wrote:

Hi Mich,

I would check you imports again [1]. This is a pure compiler issue that is unrelated to your actual data stream. Also check your project dependencies.

Regards,
Timo

[1] https://ci.apache.org/projects/flink/flink-docs-master/dev/table/common.html#implicit-conversion-for-scala

Am 01.08.18 um 09:30 schrieb Mich Talebzadeh:

Hi both,

I added the import as Hequn suggested.

My stream is very simple and consists of 4 values separated by "," as below 

05521df6-4ccf-4b2f-b874-eb27d461b305,IBM,2018-07-30T19:51:50,190.48

So this is what I have been trying to do

Code

    val dataStream =  streamExecEnv
       .addSource(new FlinkKafkaConsumer011[String](topicsValue, new SimpleStringSchema(), properties))
 //
 //
  val tableEnv = TableEnvironment.getTableEnvironment(streamExecEnv)
  val table1: Table = tableEnv.fromDataStream(dataStream, 'key, 'ticker, 'timeissued, 'price)

note those four columns in Table1 definition

And this is the error being thrown

[info] Compiling 1 Scala source to /home/hduser/dba/bin/flink/md_streaming/target/scala-2.11/classes...
[error] /home/hduser/dba/bin/flink/md_streaming/src/main/scala/myPackage/md_streaming.scala:152: overloaded method value fromDataStream with alternatives:
[error]   [T](dataStream: org.apache.flink.streaming.api.datastream.DataStream[T], fields: String)org.apache.flink.table.api.Table <and>
[error]   [T](dataStream: org.apache.flink.streaming.api.datastream.DataStream[T])org.apache.flink.table.api.Table
[error]  cannot be applied to (org.apache.flink.streaming.api.datastream.DataStreamSource[String], Symbol, Symbol, Symbol, Symbol)
[error]   val table1: Table = tableEnv.fromDataStream(dataStream, 'key, 'ticker, 'timeissued, 'price)
[error]                               

[Mich Talebzadeh]

Thanks a lot Timo.

I will try the changes suggested.

Appreciated

On Fri, 3 Aug 2018 at 03:56, vino yang <[hidden email]> wrote:

Hi Mich,

I have reviewed your code in the github you provided.

I copied your code to org.apache.flink.table.examples.scala under flink-examples-table. It passed the compilation and didn't report the exception you provided, although there are other exceptions (it's about hdfs, this is because of my environment).

First of all, the necessary dependencies are just a few:

<dependency>

<groupId>org.apache.flink</groupId>

<artifactId>flink-table_${scala.binary.version}</artifactId>

<version>${project.version}</version>

</dependency>

<dependency>

<groupId>org.apache.flink</groupId>

<artifactId>flink-streaming-scala_${scala.binary.version}</artifactId>

<version>${project.version}</version>

</dependency>

<dependency>

<groupId>org.apache.flink</groupId>

<artifactId>flink-connector-kafka-0.11_${scala.binary.version}</artifactId>

<version>${project.version}</version>

</dependency>

Please remove irrelevant dependencies.

In addition, your StreamExecutionEnvironment object has a problem with its reference. The correct path should be:

Import org.apache.flink.streaming.api.scala.StreamExecutionEnvironment

In addition, you specify four fields, but your stream object is DataStream[String]. This is also a mistake. You are advised to parse it first with a MapFunction. The example is as follows:

    Val dataStream = streamExecEnv

      .addSource(new FlinkKafkaConsumer011[String](topicsValue, new SimpleStringSchema(), properties))

    Val newDateStream = dataStream.map(new MapFunction[String, Tuple4[String, String, String, String]] {

      Override def map(value: String): Tuple4[String, String, String, String] = {

        Return null

      }

    })

    Val tableEnv = TableEnvironment.getTableEnvironment(streamExecEnv)

    //tableEnv.registerDataStream("table1", streamExecEnv, 'key, 'ticker, 'timeissued, 'price)

    tableEnv.registerDataStream("priceTable", newDateStream, 'key, 'ticker, 'timeissued, 'price)

Thanks, vino.

2018-08-02 20:36 GMT+08:00 Mich Talebzadeh <[hidden email]>:

Appreciate if anyone had a chance to look at the Scala code in GitHub and advise

https://github.com/michTalebzadeh/Flink

Regards,

On Thu, 2 Aug 2018 at 09:06, Mich Talebzadeh <[hidden email]> wrote:

Thanks Timo,

Did as suggested getting this compilation error

[info] Compiling 1 Scala source to /home/hduser/dba/bin/flink/md_streaming/target/scala-2.11/classes...
[error] /home/hduser/dba/bin/flink/md_streaming/src/main/scala/myPackage/md_streaming.scala:136: could not find implicit value for evidence parameter of type org.apache.flink.api.common.typeinfo.TypeInformation[String]
[error]        .addSource(new FlinkKafkaConsumer011[String](topicsValue, new SimpleStringSchema(), properties))
[error]                  ^
[error] one error found
[error] (compile:compileIncremental) Compilation failed

On Thu, 2 Aug 2018 at 09:01, Timo Walther <[hidden email]> wrote:

Whenever you use Scala and there is a Scala specific class use it.

remove: import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment
add: import org.apache.flink.streaming.api.scala._

This will use org.apache.flink.streaming.api.scala.StreamExecutionEnvironment.

Timo

Am 02.08.18 um 09:47 schrieb Mich Talebzadeh:

Tremendous. Many thanks.

Put the sbt build file and the Scala code here

https://github.com/michTalebzadeh/Flink

Regards,

On Thu, 2 Aug 2018 at 08:27, Timo Walther <[hidden email]> wrote:

Hi Mich,

could you share your project with us (maybe on github)? Then we can import it and debug what the problem is.

Regards,
Timo

Am 02.08.18 um 07:37 schrieb Mich Talebzadeh:

Hi Jorn,

Here you go the dependencies

libraryDependencies += "org.apache.hadoop" % "hadoop-core" % "1.2.1"
libraryDependencies += "org.apache.hbase" % "hbase" % "1.2.6"
libraryDependencies += "org.apache.hbase" % "hbase-client" % "1.2.6"
libraryDependencies += "org.apache.hbase" % "hbase-common" % "1.2.6"
libraryDependencies += "org.apache.hbase" % "hbase-server" % "1.2.6"

libraryDependencies += "org.apache.flink" %% "flink-connector-kafka-0.11" % "1.5.0"
libraryDependencies += "org.apache.flink" %% "flink-connector-kafka-base" % "1.5.0"
libraryDependencies += "org.apache.flink" %% "flink-scala" % "1.5.0"
libraryDependencies += "org.apache.kafka" % "kafka-clients" % "0.11.0.0"
libraryDependencies += "org.apache.flink" %% "flink-streaming-scala" % "1.5.0"
libraryDependencies += "org.apache.flink" %% "flink-table" % "1.5.0" % "provided"
libraryDependencies += "org.apache.kafka" %% "kafka" % "0.11.0.0"

Thanks

On Thu, 2 Aug 2018 at 06:19, Jörn Franke <[hidden email]> wrote:

How does your build.sbt looks especially dependencies?
On 2. Aug 2018, at 00:44, Mich Talebzadeh <[hidden email]> wrote:

Changed as suggested

   val  streamExecEnv = StreamExecutionEnvironment.getExecutionEnvironment
     val dataStream =  streamExecEnv
       .addSource(new FlinkKafkaConsumer011[String](topicsValue, new SimpleStringSchema(), properties))
  val tableEnv = TableEnvironment.getTableEnvironment(streamExecEnv)

  tableEnv.registerDataStream("table1", streamExecEnv, 'key, 'ticker, 'timeissued, 'price)

Still the same error

[info] Compiling 1 Scala source to /home/hduser/dba/bin/flink/md_streaming/target/scala-2.11/classes...
[error] /home/hduser/dba/bin/flink/md_streaming/src/main/scala/myPackage/md_streaming.scala:139: overloaded method value registerDataStream with alternatives:
[error]   [T](name: String, dataStream: org.apache.flink.streaming.api.datastream.DataStream[T], fields: String)Unit <and>
[error]   [T](name: String, dataStream: org.apache.flink.streaming.api.datastream.DataStream[T])Unit
[error]  cannot be applied to (String, org.apache.flink.streaming.api.environment.StreamExecutionEnvironment, Symbol, Symbol, Symbol, Symbol)
[error]   tableEnv.registerDataStream("table1", streamExecEnv, 'key, 'ticker, 'timeissued, 'price)
[error]            ^
[error] one error found
[error] (compile:compileIncremental) Compilation failed
[error] Total time: 3 s, completed Aug 1, 2018 11:40:47 PM

Thanks anyway.

On Wed, 1 Aug 2018 at 23:34, Fabian Hueske <[hidden email]> wrote:

Hi,

You have to pass the StreamExecutionEnvironment to the getTableEnvironment() method, not the DataStream (or DataStreamSource).

Change

val tableEnv = TableEnvironment.getTableEnvironment(dataStream)

to

val tableEnv = TableEnvironment.getTableEnvironment(streamExecEnv)

Best,

Fabian

2018-08-02 0:10 GMT+02:00 Mich Talebzadeh <[hidden email]>:

Hi,

FYI, these are my imports

import java.util.Properties
import java.util.Arrays
import org.apache.flink.api.common.functions.MapFunction
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment
import org.apache.flink.streaming.api.scala

import org.apache.flink.streaming.util.serialization.SimpleStringSchema
import org.apache.flink.table.api.TableEnvironment
import org.apache.flink.table.api.scala._
import org.apache.flink.api.scala._

import org.apache.kafka.clients.consumer.ConsumerConfig
import org.apache.kafka.clients.consumer.ConsumerRecord
import org.apache.kafka.clients.consumer.KafkaConsumer
import org.apache.flink.core.fs.FileSystem
import org.apache.flink.streaming.api.TimeCharacteristic

import org.slf4j.LoggerFactory
import org.apache.flink.streaming.connectors.kafka.{FlinkKafkaConsumer011, FlinkKafkaProducer011}
import java.util.Calendar
import java.util.Date
import java.text.DateFormat
import java.text.SimpleDateFormat
import org.apache.log4j.Logger
import org.apache.log4j.Level
import sys.process.stringSeqToProcess
import java.io.File

And this is the simple code

    val properties = new Properties()

    properties.setProperty("bootstrap.servers", bootstrapServers)
    properties.setProperty("zookeeper.connect", zookeeperConnect)
    properties.setProperty("group.id", flinkAppName)
    properties.setProperty("auto.offset.reset", "latest")
    val  streamExecEnv = StreamExecutionEnvironment.getExecutionEnvironment
    val dataStream =  streamExecEnv
       .addSource(new FlinkKafkaConsumer011[String](topicsValue, new SimpleStringSchema(), properties))
  val tableEnv = TableEnvironment.getTableEnvironment(dataStream)

  tableEnv.registerDataStream("table1", dataStream, 'key, 'ticker, 'timeissued, 'price)

And this is the compilation error

info] Compiling 1 Scala source to /home/hduser/dba/bin/flink/md_streaming/target/scala-2.11/classes...
[error] /home/hduser/dba/bin/flink/md_streaming/src/main/scala/myPackage/md_streaming.scala:138: overloaded method value getTableEnvironment with alternatives:
[error]   (executionEnvironment: org.apache.flink.streaming.api.scala.StreamExecutionEnvironment)org.apache.flink.table.api.scala.StreamTableEnvironment <and>
[error]   (executionEnvironment: org.apache.flink.streaming.api.environment.StreamExecutionEnvironment)org.apache.flink.table.api.java.StreamTableEnvironment <and>
[error]   (executionEnvironment: org.apache.flink.api.scala.ExecutionEnvironment)org.apache.flink.table.api.scala.BatchTableEnvironment <and>
[error]   (executionEnvironment: org.apache.flink.api.java.ExecutionEnvironment)org.apache.flink.table.api.java.BatchTableEnvironment
[error]  cannot be applied to (org.apache.flink.streaming.api.datastream.DataStreamSource[String])
[error]   val tableEnv = TableEnvironment.getTableEnvironment(dataStream)
[error]                                   ^
[error] one error found
[error] (compile:compileIncremental) Compilation failed
[error] Total time: 3 s, completed Aug 1, 2018 11:02:33 PM
Completed compiling

which is really strange

On Wed, 1 Aug 2018 at 13:42, Fabian Hueske <[hidden email]> wrote:

Hi I think you are mixing Java and Scala dependencies.

org.apache.flink.streaming.api.datastream.DataStream is the DataStream of the Java DataStream API.

You should use the DataStream of the Scala DataStream API.

Best, Fabian

2018-08-01 14:01 GMT+02:00 Mich Talebzadeh <[hidden email]>:

Hi,

I believed I tried Hequn's suggestion and tried again

import org.apache.flink.table.api.Table
import org.apache.flink.table.api.TableEnvironment
import org.apache.flink.table.api.scala._

Unfortunately I am still getting the same error!

[info] Compiling 1 Scala source to /home/hduser/dba/bin/flink/md_streaming/target/scala-2.11/classes...
[error] /home/hduser/dba/bin/flink/md_streaming/src/main/scala/myPackage/md_streaming.scala:151: overloaded method value fromDataStream with alternatives:
[error]   [T](dataStream: org.apache.flink.streaming.api.datastream.DataStream[T], fields: String)org.apache.flink.table.api.Table <and>
[error]   [T](dataStream: org.apache.flink.streaming.api.datastream.DataStream[T])org.apache.flink.table.api.Table
[error]  cannot be applied to (org.apache.flink.streaming.api.datastream.DataStreamSource[String], Symbol, Symbol, Symbol, Symbol)
[error]   val table1: Table = tableEnv.fromDataStream(dataStream, 'key, 'ticker, 'timeissued, 'price)
[error]                                ^
[error] one error found
[error] (compile:compileIncremental) Compilation failed
[error] Total time: 3 s, completed Aug 1, 2018 12:59:44 PM
Completed compiling

On Wed, 1 Aug 2018 at 10:03, Timo Walther <[hidden email]> wrote:

If these two imports are the only imports that you added, then you did not follow Hequn's advice or the link that I sent you.

You need to add the underscore imports to let Scala do its magic.

Timo


Am 01.08.18 um 10:28 schrieb Mich Talebzadeh:

Hi Timo,

These are my two flink table related imports

import org.apache.flink.table.api.Table
import org.apache.flink.table.api.TableEnvironment

And these are my dependencies building with SBT

libraryDependencies += "org.apache.hadoop" % "hadoop-core" % "1.2.1"
libraryDependencies += "org.apache.hbase" % "hbase" % "1.2.6"
libraryDependencies += "org.apache.hbase" % "hbase-client" % "1.2.6"
libraryDependencies += "org.apache.hbase" % "hbase-common" % "1.2.6"
libraryDependencies += "org.apache.hbase" % "hbase-server" % "1.2.6"

libraryDependencies += "org.apache.flink" %% "flink-connector-kafka-0.11" % "1.5.0"
libraryDependencies += "org.apache.flink" %% "flink-connector-kafka-base" % "1.5.0"
libraryDependencies += "org.apache.flink" %% "flink-scala" % "1.5.0"
libraryDependencies += "org.apache.kafka" % "kafka-clients" % "0.11.0.0"
libraryDependencies += "org.apache.flink" %% "flink-streaming-java" % "1.5.0" % "provided"
libraryDependencies += "org.apache.flink" %% "flink-table" % "1.5.0" % "provided"
libraryDependencies += "org.apache.kafka" %% "kafka" % "0.11.0.0"

There appears to be conflict somewhere that cause this error

[info] Compiling 1 Scala source to /home/hduser/dba/bin/flink/md_streaming/target/scala-2.11/classes...
[error] /home/hduser/dba/bin/flink/md_streaming/src/main/scala/myPackage/md_streaming.scala:152: overloaded method value fromDataStream with alternatives:
[error]   [T](dataStream: org.apache.flink.streaming.api.datastream.DataStream[T], fields: String)org.apache.flink.table.api.Table <and>
[error]   [T](dataStream: org.apache.flink.streaming.api.datastream.DataStream[T])org.apache.flink.table.api.Table
[error]  cannot be applied to (org.apache.flink.streaming.api.datastream.DataStreamSource[String], Symbol, Symbol, Symbol, Symbol)
[error]   val table1: Table = tableEnv.fromDataStream(dataStream, 'key, 'ticker, 'timeissued, 'price)
[error]                                ^
[error] one error found
[error] (compile:compileIncremental) Compilation failed

Thanks

On Wed, 1 Aug 2018 at 09:17, Timo Walther <[hidden email]> wrote:

Hi Mich,

I would check you imports again [1]. This is a pure compiler issue that is unrelated to your actual data stream. Also check your project dependencies.

Regards,
Timo

[1] https://ci.apache.org/projects/flink/flink-docs-master/dev/table/common.html#implicit-conversion-for-scala

Am 01.08.18 um 09:30 schrieb Mich Talebzadeh:

Hi both,

I added the import as Hequn suggested.

My stream is very simple and consists of 4 values separated by "," as below 

05521df6-4ccf-4b2f-b874-eb27d461b305,IBM,2018-07-30T19:51:50,190.48

So this is what I have been trying to do

Code

    val dataStream =  streamExecEnv
       .addSource(new FlinkKafkaConsumer011[String](topicsValue, new SimpleStringSchema(), properties))
 //
 //
  val tableEnv = TableEnvironment.getTableEnvironment(streamExecEnv)
  val table1: Table = tableEnv.fromDataStream(dataStream, 'key, 'ticker, 'timeissued, 'price)

note those four columns in Table1 definition

And this is the error being thrown

[info] Compiling 1 Scala source to /home/hduser/dba/bin/flink/md_streaming/target/scala-2.11/classes...
[error] /home/hduser/dba/bin/flink/md_streaming/src/main/scala/myPackage/md_streaming.scala:152: overloaded method value fromDataStream with alternatives:
[error]   [T](dataStream: org.apache.flink.streaming.api.datastream.DataStream[T], fields: String)org.apache.flink.table.api.Table <and>
[error]   [T](dataStream: org.apache.flink.streaming.api.datastream.DataStream[T])org.apache.flink.table.api.Table
[error]  cannot be applied to (org.apache.flink.streaming.api.datastream.DataStreamSource[String], Symbol, Symbol, Symbol, Symbol)
[error]   val table1: Table = tableEnv.fromDataStream(dataStream, 'key, 'ticker, 'timeissued, 'price)
[error]                               

[Mich Talebzadeh]

Apologies should read Vino and Timo

On Fri, 3 Aug 2018 at 09:14, Mich Talebzadeh <[hidden email]> wrote:

Thanks a lot Timo.

I will try the changes suggested.

Appreciated

On Fri, 3 Aug 2018 at 03:56, vino yang <[hidden email]> wrote:

Hi Mich,

I have reviewed your code in the github you provided.

I copied your code to org.apache.flink.table.examples.scala under flink-examples-table. It passed the compilation and didn't report the exception you provided, although there are other exceptions (it's about hdfs, this is because of my environment).

First of all, the necessary dependencies are just a few:

<dependency>

<groupId>org.apache.flink</groupId>

<artifactId>flink-table_${scala.binary.version}</artifactId>

<version>${project.version}</version>

</dependency>

<dependency>

<groupId>org.apache.flink</groupId>

<artifactId>flink-streaming-scala_${scala.binary.version}</artifactId>

<version>${project.version}</version>

</dependency>

<dependency>

<groupId>org.apache.flink</groupId>

<artifactId>flink-connector-kafka-0.11_${scala.binary.version}</artifactId>

<version>${project.version}</version>

</dependency>

Please remove irrelevant dependencies.

In addition, your StreamExecutionEnvironment object has a problem with its reference. The correct path should be:

Import org.apache.flink.streaming.api.scala.StreamExecutionEnvironment

In addition, you specify four fields, but your stream object is DataStream[String]. This is also a mistake. You are advised to parse it first with a MapFunction. The example is as follows:

    Val dataStream = streamExecEnv

      .addSource(new FlinkKafkaConsumer011[String](topicsValue, new SimpleStringSchema(), properties))

    Val newDateStream = dataStream.map(new MapFunction[String, Tuple4[String, String, String, String]] {

      Override def map(value: String): Tuple4[String, String, String, String] = {

        Return null

      }

    })

    Val tableEnv = TableEnvironment.getTableEnvironment(streamExecEnv)

    //tableEnv.registerDataStream("table1", streamExecEnv, 'key, 'ticker, 'timeissued, 'price)

    tableEnv.registerDataStream("priceTable", newDateStream, 'key, 'ticker, 'timeissued, 'price)

Thanks, vino.

2018-08-02 20:36 GMT+08:00 Mich Talebzadeh <[hidden email]>:

Appreciate if anyone had a chance to look at the Scala code in GitHub and advise

https://github.com/michTalebzadeh/Flink

Regards,

On Thu, 2 Aug 2018 at 09:06, Mich Talebzadeh <[hidden email]> wrote:

Thanks Timo,

Did as suggested getting this compilation error

[info] Compiling 1 Scala source to /home/hduser/dba/bin/flink/md_streaming/target/scala-2.11/classes...
[error] /home/hduser/dba/bin/flink/md_streaming/src/main/scala/myPackage/md_streaming.scala:136: could not find implicit value for evidence parameter of type org.apache.flink.api.common.typeinfo.TypeInformation[String]
[error]        .addSource(new FlinkKafkaConsumer011[String](topicsValue, new SimpleStringSchema(), properties))
[error]                  ^
[error] one error found
[error] (compile:compileIncremental) Compilation failed

On Thu, 2 Aug 2018 at 09:01, Timo Walther <[hidden email]> wrote:

Whenever you use Scala and there is a Scala specific class use it.

remove: import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment
add: import org.apache.flink.streaming.api.scala._

This will use org.apache.flink.streaming.api.scala.StreamExecutionEnvironment.

Timo

Am 02.08.18 um 09:47 schrieb Mich Talebzadeh:

Tremendous. Many thanks.

Put the sbt build file and the Scala code here

https://github.com/michTalebzadeh/Flink

Regards,

On Thu, 2 Aug 2018 at 08:27, Timo Walther <[hidden email]> wrote:

Hi Mich,

could you share your project with us (maybe on github)? Then we can import it and debug what the problem is.

Regards,
Timo

Am 02.08.18 um 07:37 schrieb Mich Talebzadeh:

Hi Jorn,

Here you go the dependencies

libraryDependencies += "org.apache.hadoop" % "hadoop-core" % "1.2.1"
libraryDependencies += "org.apache.hbase" % "hbase" % "1.2.6"
libraryDependencies += "org.apache.hbase" % "hbase-client" % "1.2.6"
libraryDependencies += "org.apache.hbase" % "hbase-common" % "1.2.6"
libraryDependencies += "org.apache.hbase" % "hbase-server" % "1.2.6"

libraryDependencies += "org.apache.flink" %% "flink-connector-kafka-0.11" % "1.5.0"
libraryDependencies += "org.apache.flink" %% "flink-connector-kafka-base" % "1.5.0"
libraryDependencies += "org.apache.flink" %% "flink-scala" % "1.5.0"
libraryDependencies += "org.apache.kafka" % "kafka-clients" % "0.11.0.0"
libraryDependencies += "org.apache.flink" %% "flink-streaming-scala" % "1.5.0"
libraryDependencies += "org.apache.flink" %% "flink-table" % "1.5.0" % "provided"
libraryDependencies += "org.apache.kafka" %% "kafka" % "0.11.0.0"

Thanks

On Thu, 2 Aug 2018 at 06:19, Jörn Franke <[hidden email]> wrote:

How does your build.sbt looks especially dependencies?
On 2. Aug 2018, at 00:44, Mich Talebzadeh <[hidden email]> wrote:

Changed as suggested

   val  streamExecEnv = StreamExecutionEnvironment.getExecutionEnvironment
     val dataStream =  streamExecEnv
       .addSource(new FlinkKafkaConsumer011[String](topicsValue, new SimpleStringSchema(), properties))
  val tableEnv = TableEnvironment.getTableEnvironment(streamExecEnv)

  tableEnv.registerDataStream("table1", streamExecEnv, 'key, 'ticker, 'timeissued, 'price)

Still the same error

[info] Compiling 1 Scala source to /home/hduser/dba/bin/flink/md_streaming/target/scala-2.11/classes...
[error] /home/hduser/dba/bin/flink/md_streaming/src/main/scala/myPackage/md_streaming.scala:139: overloaded method value registerDataStream with alternatives:
[error]   [T](name: String, dataStream: org.apache.flink.streaming.api.datastream.DataStream[T], fields: String)Unit <and>
[error]   [T](name: String, dataStream: org.apache.flink.streaming.api.datastream.DataStream[T])Unit
[error]  cannot be applied to (String, org.apache.flink.streaming.api.environment.StreamExecutionEnvironment, Symbol, Symbol, Symbol, Symbol)
[error]   tableEnv.registerDataStream("table1", streamExecEnv, 'key, 'ticker, 'timeissued, 'price)
[error]            ^
[error] one error found
[error] (compile:compileIncremental) Compilation failed
[error] Total time: 3 s, completed Aug 1, 2018 11:40:47 PM

Thanks anyway.

On Wed, 1 Aug 2018 at 23:34, Fabian Hueske <[hidden email]> wrote:

Hi,

You have to pass the StreamExecutionEnvironment to the getTableEnvironment() method, not the DataStream (or DataStreamSource).

Change

val tableEnv = TableEnvironment.getTableEnvironment(dataStream)

to

val tableEnv = TableEnvironment.getTableEnvironment(streamExecEnv)

Best,

Fabian

2018-08-02 0:10 GMT+02:00 Mich Talebzadeh <[hidden email]>:

Hi,

FYI, these are my imports

import java.util.Properties
import java.util.Arrays
import org.apache.flink.api.common.functions.MapFunction
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment
import org.apache.flink.streaming.api.scala

import org.apache.flink.streaming.util.serialization.SimpleStringSchema
import org.apache.flink.table.api.TableEnvironment
import org.apache.flink.table.api.scala._
import org.apache.flink.api.scala._

import org.apache.kafka.clients.consumer.ConsumerConfig
import org.apache.kafka.clients.consumer.ConsumerRecord
import org.apache.kafka.clients.consumer.KafkaConsumer
import org.apache.flink.core.fs.FileSystem
import org.apache.flink.streaming.api.TimeCharacteristic

import org.slf4j.LoggerFactory
import org.apache.flink.streaming.connectors.kafka.{FlinkKafkaConsumer011, FlinkKafkaProducer011}
import java.util.Calendar
import java.util.Date
import java.text.DateFormat
import java.text.SimpleDateFormat
import org.apache.log4j.Logger
import org.apache.log4j.Level
import sys.process.stringSeqToProcess
import java.io.File

And this is the simple code

    val properties = new Properties()

    properties.setProperty("bootstrap.servers", bootstrapServers)
    properties.setProperty("zookeeper.connect", zookeeperConnect)
    properties.setProperty("group.id", flinkAppName)
    properties.setProperty("auto.offset.reset", "latest")
    val  streamExecEnv = StreamExecutionEnvironment.getExecutionEnvironment
    val dataStream =  streamExecEnv
       .addSource(new FlinkKafkaConsumer011[String](topicsValue, new SimpleStringSchema(), properties))
  val tableEnv = TableEnvironment.getTableEnvironment(dataStream)

  tableEnv.registerDataStream("table1", dataStream, 'key, 'ticker, 'timeissued, 'price)

And this is the compilation error

info] Compiling 1 Scala source to /home/hduser/dba/bin/flink/md_streaming/target/scala-2.11/classes...
[error] /home/hduser/dba/bin/flink/md_streaming/src/main/scala/myPackage/md_streaming.scala:138: overloaded method value getTableEnvironment with alternatives:
[error]   (executionEnvironment: org.apache.flink.streaming.api.scala.StreamExecutionEnvironment)org.apache.flink.table.api.scala.StreamTableEnvironment <and>
[error]   (executionEnvironment: org.apache.flink.streaming.api.environment.StreamExecutionEnvironment)org.apache.flink.table.api.java.StreamTableEnvironment <and>
[error]   (executionEnvironment: org.apache.flink.api.scala.ExecutionEnvironment)org.apache.flink.table.api.scala.BatchTableEnvironment <and>
[error]   (executionEnvironment: org.apache.flink.api.java.ExecutionEnvironment)org.apache.flink.table.api.java.BatchTableEnvironment
[error]  cannot be applied to (org.apache.flink.streaming.api.datastream.DataStreamSource[String])
[error]   val tableEnv = TableEnvironment.getTableEnvironment(dataStream)
[error]                                   ^
[error] one error found
[error] (compile:compileIncremental) Compilation failed
[error] Total time: 3 s, completed Aug 1, 2018 11:02:33 PM
Completed compiling

which is really strange

On Wed, 1 Aug 2018 at 13:42, Fabian Hueske <[hidden email]> wrote:

Hi I think you are mixing Java and Scala dependencies.

org.apache.flink.streaming.api.datastream.DataStream is the DataStream of the Java DataStream API.

You should use the DataStream of the Scala DataStream API.

Best, Fabian

2018-08-01 14:01 GMT+02:00 Mich Talebzadeh <[hidden email]>:

Hi,

I believed I tried Hequn's suggestion and tried again

import org.apache.flink.table.api.Table
import org.apache.flink.table.api.TableEnvironment
import org.apache.flink.table.api.scala._

Unfortunately I am still getting the same error!

[info] Compiling 1 Scala source to /home/hduser/dba/bin/flink/md_streaming/target/scala-2.11/classes...
[error] /home/hduser/dba/bin/flink/md_streaming/src/main/scala/myPackage/md_streaming.scala:151: overloaded method value fromDataStream with alternatives:
[error]   [T](dataStream: org.apache.flink.streaming.api.datastream.DataStream[T], fields: String)org.apache.flink.table.api.Table <and>
[error]   [T](dataStream: org.apache.flink.streaming.api.datastream.DataStream[T])org.apache.flink.table.api.Table
[error]  cannot be applied to (org.apache.flink.streaming.api.datastream.DataStreamSource[String], Symbol, Symbol, Symbol, Symbol)
[error]   val table1: Table = tableEnv.fromDataStream(dataStream, 'key, 'ticker, 'timeissued, 'price)
[error]                                ^
[error] one error found
[error] (compile:compileIncremental) Compilation failed
[error] Total time: 3 s, completed Aug 1, 2018 12:59:44 PM
Completed compiling

On Wed, 1 Aug 2018 at 10:03, Timo Walther <[hidden email]> wrote:

If these two imports are the only imports that you added, then you did not follow Hequn's advice or the link that I sent you.

You need to add the underscore imports to let Scala do its magic.

Timo


Am 01.08.18 um 10:28 schrieb Mich Talebzadeh:

Hi Timo,

These are my two flink table related imports

import org.apache.flink.table.api.Table
import org.apache.flink.table.api.TableEnvironment

And these are my dependencies building with SBT

libraryDependencies += "org.apache.hadoop" % "hadoop-core" % "1.2.1"
libraryDependencies += "org.apache.hbase" % "hbase" % "1.2.6"
libraryDependencies += "org.apache.hbase" % "hbase-client" % "1.2.6"
libraryDependencies += "org.apache.hbase" % "hbase-common" % "1.2.6"
libraryDependencies += "org.apache.hbase" % "hbase-server" % "1.2.6"

libraryDependencies += "org.apache.flink" %% "flink-connector-kafka-0.11" % "1.5.0"
libraryDependencies += "org.apache.flink" %% "flink-connector-kafka-base" % "1.5.0"
libraryDependencies += "org.apache.flink" %% "flink-scala" % "1.5.0"
libraryDependencies += "org.apache.kafka" % "kafka-clients" % "0.11.0.0"
libraryDependencies += "org.apache.flink" %% "flink-streaming-java" % "1.5.0" % "provided"
libraryDependencies += "org.apache.flink" %% "flink-table" % "1.5.0" % "provided"
libraryDependencies += "org.apache.kafka" %% "kafka" % "0.11.0.0"

There appears to be conflict somewhere that cause this error

[info] Compiling 1 Scala source to /home/hduser/dba/bin/flink/md_streaming/target/scala-2.11/classes...
[error] /home/hduser/dba/bin/flink/md_streaming/src/main/scala/myPackage/md_streaming.scala:152: overloaded method value fromDataStream with alternatives:
[error]   [T](dataStream: org.apache.flink.streaming.api.datastream.DataStream[T], fields: String)org.apache.flink.table.api.Table <and>
[error]   [T](dataStream: org.apache.flink.streaming.api.datastream.DataStream[T])org.apache.flink.table.api.Table
[error]  cannot be applied to (org.apache.flink.streaming.api.datastream.DataStreamSource[String], Symbol, Symbol, Symbol, Symbol)
[error]   val table1: Table = tableEnv.fromDataStream(dataStream, 'key, 'ticker, 'timeissued, 'price)
[error]                                ^
[error] one error found
[error] (compile:compileIncremental) Compilation failed

Thanks

On Wed, 1 Aug 2018 at 09:17, Timo Walther <[hidden email]> wrote:

Hi Mich,

I would check you imports again [1]. This is a pure compiler issue that is unrelated to your actual data stream. Also check your project dependencies.

Regards,
Timo

[1] https://ci.apache.org/projects/flink/flink-docs-master/dev/table/common.html#implicit-conversion-for-scala

Am 01.08.18 um 09:30 schrieb Mich Talebzadeh:

Hi both,

I added the import as Hequn suggested.

My stream is very simple and consists of 4 values separated by "," as below 

05521df6-4ccf-4b2f-b874-eb27d461b305,IBM,2018-07-30T19:51:50,190.48

So this is what I have been trying to do

Code

    val dataStream =  streamExecEnv
       .addSource(new FlinkKafkaConsumer011[String](topicsValue, new SimpleStringSchema(), properties))
 //
 //
  val tableEnv = TableEnvironment.getTableEnvironment(streamExecEnv)
  val table1: Table = tableEnv.fromDataStream(dataStream, 'key, 'ticker, 'timeissued, 'price)

note those four columns in Table1 definition

And this is the error being thrown

[info] Compiling 1 Scala source to /home/hduser/dba/bin/flink/md_streaming/target/scala-2.11/classes...
[error] /home/hduser/dba/bin/flink/md_streaming/src/main/scala/myPackage/md_streaming.scala:152: overloaded method value fromDataStream with alternatives:
[error]   [T](dataStream: org.apache.flink.streaming.api.datastream.DataStream[T], fields: String)org.apache.flink.table.api.Table <and>
[error]   [T](dataStream: org.apache.flink.streaming.api.datastream.DataStream[T])org.apache.flink.table.api.Table
[error]  cannot be applied to (org.apache.flink.streaming.api.datastream.DataStreamSource[String], Symbol, Symbol, Symbol, Symbol)
[error]   val table1: Table = tableEnv.fromDataStream(dataStream, 'key, 'ticker, 'timeissued, 'price)
[error]                               

[Mich Talebzadeh]

Hi,

I resolved this issue of 

java.lang.NoClassDefFoundError: org/apache/flink/table/api/TableEnvironment

By adding the jar file 

flink-table_2.11-1.5.0.jar

To $FLINK_HOME/lib

It compiles and run OK now. 

Rather strange as I had this dependency in my SBT

libraryDependencies += "org.apache.flink" %% "flink-table" % "1.5.0" % "provided"

HTH

On Thu, 2 Aug 2018 at 08:26, Mich Talebzadeh <[hidden email]> wrote:

Thanks everyone for the advice

This worked and passed the compilation error

import org.apache.flink.table.api.TableEnvironment
import org.apache.flink.table.api.scala._
import org.apache.flink.api.scala._

….

    val dataStream =  streamExecEnv
       .addSource(new FlinkKafkaConsumer011[String](topicsValue, new SimpleStringSchema(), properties))
   val tableEnv = TableEnvironment.getTableEnvironment(streamExecEnv)

  tableEnv.registerDataStream("priceTable", dataStream, "key, ticker, timeissued, price")
  sqltext  = "SELECT key from priceTable";
  val result = tableEnv.sql(sqltext);

Now I get this runtime error

….

[success] Total time: 16 s, completed Aug 2, 2018 8:23:12 AM
Completed compiling
Thu Aug 2 08:23:12 BST 2018 , Running in **Standalone mode**
Starting execution of program
java.lang.NoClassDefFoundError: org/apache/flink/table/api/TableEnvironment$
        at md_streaming$.main(md_streaming.scala:140)
        at md_streaming.main(md_streaming.scala)
        at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
        at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
        at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
        at java.lang.reflect.Method.invoke(Method.java:498)
        at org.apache.flink.client.program.PackagedProgram.callMainMethod(PackagedProgram.java:528)
        at org.apache.flink.client.program.PackagedProgram.invokeInteractiveModeForExecution(PackagedProgram.java:420)
        at org.apache.flink.client.program.ClusterClient.run(ClusterClient.java:404)
        at org.apache.flink.client.cli.CliFrontend.executeProgram(CliFrontend.java:781)
        at org.apache.flink.client.cli.CliFrontend.runProgram(CliFrontend.java:275)
        at org.apache.flink.client.cli.CliFrontend.run(CliFrontend.java:210)
        at org.apache.flink.client.cli.CliFrontend.parseParameters(CliFrontend.java:1020)
        at org.apache.flink.client.cli.CliFrontend.lambda$main$9(CliFrontend.java:1096)
        at java.security.AccessController.doPrivileged(Native Method)
        at javax.security.auth.Subject.doAs(Subject.java:422)
        at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1836)
        at org.apache.flink.runtime.security.HadoopSecurityContext.runSecured(HadoopSecurityContext.java:41)
        at org.apache.flink.client.cli.CliFrontend.main(CliFrontend.java:1096)
Caused by: java.lang.ClassNotFoundException: org.apache.flink.table.api.TableEnvironment$
        at java.net.URLClassLoader.findClass(URLClassLoader.java:381)
        at java.lang.ClassLoader.loadClass(ClassLoader.java:424)
        at java.lang.ClassLoader.loadClass(ClassLoader.java:357)

On Thu, 2 Aug 2018 at 03:07, vino yang <[hidden email]> wrote:

Hi Mich,

It seems that the type of your DataStream stream is always wrong. 

If you want to specify four fields, usually the DataStream type should be similar: DataStream[(Type1, Type2, Type3, Type4)], not DataStream[String], you can try it.

Thanks, vino

2018-08-02 6:44 GMT+08:00 Mich Talebzadeh <[hidden email]>:

Changed as suggested

   val  streamExecEnv = StreamExecutionEnvironment.getExecutionEnvironment
     val dataStream =  streamExecEnv
       .addSource(new FlinkKafkaConsumer011[String](topicsValue, new SimpleStringSchema(), properties))
  val tableEnv = TableEnvironment.getTableEnvironment(streamExecEnv)

  tableEnv.registerDataStream("table1", streamExecEnv, 'key, 'ticker, 'timeissued, 'price)

Still the same error

[info] Compiling 1 Scala source to /home/hduser/dba/bin/flink/md_streaming/target/scala-2.11/classes...
[error] /home/hduser/dba/bin/flink/md_streaming/src/main/scala/myPackage/md_streaming.scala:139: overloaded method value registerDataStream with alternatives:
[error]   [T](name: String, dataStream: org.apache.flink.streaming.api.datastream.DataStream[T], fields: String)Unit <and>
[error]   [T](name: String, dataStream: org.apache.flink.streaming.api.datastream.DataStream[T])Unit
[error]  cannot be applied to (String, org.apache.flink.streaming.api.environment.StreamExecutionEnvironment, Symbol, Symbol, Symbol, Symbol)
[error]   tableEnv.registerDataStream("table1", streamExecEnv, 'key, 'ticker, 'timeissued, 'price)
[error]            ^
[error] one error found
[error] (compile:compileIncremental) Compilation failed
[error] Total time: 3 s, completed Aug 1, 2018 11:40:47 PM

Thanks anyway.

On Wed, 1 Aug 2018 at 23:34, Fabian Hueske <[hidden email]> wrote:

Hi,

You have to pass the StreamExecutionEnvironment to the getTableEnvironment() method, not the DataStream (or DataStreamSource).

Change

val tableEnv = TableEnvironment.getTableEnvironment(dataStream)

to

val tableEnv = TableEnvironment.getTableEnvironment(streamExecEnv)

Best,

Fabian

2018-08-02 0:10 GMT+02:00 Mich Talebzadeh <[hidden email]>:

Hi,

FYI, these are my imports

import java.util.Properties
import java.util.Arrays
import org.apache.flink.api.common.functions.MapFunction
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment
import org.apache.flink.streaming.api.scala

import org.apache.flink.streaming.util.serialization.SimpleStringSchema
import org.apache.flink.table.api.TableEnvironment
import org.apache.flink.table.api.scala._
import org.apache.flink.api.scala._

import org.apache.kafka.clients.consumer.ConsumerConfig
import org.apache.kafka.clients.consumer.ConsumerRecord
import org.apache.kafka.clients.consumer.KafkaConsumer
import org.apache.flink.core.fs.FileSystem
import org.apache.flink.streaming.api.TimeCharacteristic

import org.slf4j.LoggerFactory
import org.apache.flink.streaming.connectors.kafka.{FlinkKafkaConsumer011, FlinkKafkaProducer011}
import java.util.Calendar
import java.util.Date
import java.text.DateFormat
import java.text.SimpleDateFormat
import org.apache.log4j.Logger
import org.apache.log4j.Level
import sys.process.stringSeqToProcess
import java.io.File

And this is the simple code

    val properties = new Properties()

    properties.setProperty("bootstrap.servers", bootstrapServers)
    properties.setProperty("zookeeper.connect", zookeeperConnect)
    properties.setProperty("group.id", flinkAppName)
    properties.setProperty("auto.offset.reset", "latest")
    val  streamExecEnv = StreamExecutionEnvironment.getExecutionEnvironment
    val dataStream =  streamExecEnv
       .addSource(new FlinkKafkaConsumer011[String](topicsValue, new SimpleStringSchema(), properties))
  val tableEnv = TableEnvironment.getTableEnvironment(dataStream)

  tableEnv.registerDataStream("table1", dataStream, 'key, 'ticker, 'timeissued, 'price)

And this is the compilation error

info] Compiling 1 Scala source to /home/hduser/dba/bin/flink/md_streaming/target/scala-2.11/classes...
[error] /home/hduser/dba/bin/flink/md_streaming/src/main/scala/myPackage/md_streaming.scala:138: overloaded method value getTableEnvironment with alternatives:
[error]   (executionEnvironment: org.apache.flink.streaming.api.scala.StreamExecutionEnvironment)org.apache.flink.table.api.scala.StreamTableEnvironment <and>
[error]   (executionEnvironment: org.apache.flink.streaming.api.environment.StreamExecutionEnvironment)org.apache.flink.table.api.java.StreamTableEnvironment <and>
[error]   (executionEnvironment: org.apache.flink.api.scala.ExecutionEnvironment)org.apache.flink.table.api.scala.BatchTableEnvironment <and>
[error]   (executionEnvironment: org.apache.flink.api.java.ExecutionEnvironment)org.apache.flink.table.api.java.BatchTableEnvironment
[error]  cannot be applied to (org.apache.flink.streaming.api.datastream.DataStreamSource[String])
[error]   val tableEnv = TableEnvironment.getTableEnvironment(dataStream)
[error]                                   ^
[error] one error found
[error] (compile:compileIncremental) Compilation failed
[error] Total time: 3 s, completed Aug 1, 2018 11:02:33 PM
Completed compiling

which is really strange

On Wed, 1 Aug 2018 at 13:42, Fabian Hueske <[hidden email]> wrote:

Hi I think you are mixing Java and Scala dependencies.

org.apache.flink.streaming.api.datastream.DataStream is the DataStream of the Java DataStream API.

You should use the DataStream of the Scala DataStream API.

Best, Fabian

2018-08-01 14:01 GMT+02:00 Mich Talebzadeh <[hidden email]>:

Hi,

I believed I tried Hequn's suggestion and tried again

import org.apache.flink.table.api.Table
import org.apache.flink.table.api.TableEnvironment
import org.apache.flink.table.api.scala._

Unfortunately I am still getting the same error!

[info] Compiling 1 Scala source to /home/hduser/dba/bin/flink/md_streaming/target/scala-2.11/classes...
[error] /home/hduser/dba/bin/flink/md_streaming/src/main/scala/myPackage/md_streaming.scala:151: overloaded method value fromDataStream with alternatives:
[error]   [T](dataStream: org.apache.flink.streaming.api.datastream.DataStream[T], fields: String)org.apache.flink.table.api.Table <and>
[error]   [T](dataStream: org.apache.flink.streaming.api.datastream.DataStream[T])org.apache.flink.table.api.Table
[error]  cannot be applied to (org.apache.flink.streaming.api.datastream.DataStreamSource[String], Symbol, Symbol, Symbol, Symbol)
[error]   val table1: Table = tableEnv.fromDataStream(dataStream, 'key, 'ticker, 'timeissued, 'price)
[error]                                ^
[error] one error found
[error] (compile:compileIncremental) Compilation failed
[error] Total time: 3 s, completed Aug 1, 2018 12:59:44 PM
Completed compiling

On Wed, 1 Aug 2018 at 10:03, Timo Walther <[hidden email]> wrote:

If these two imports are the only imports that you added, then you did not follow Hequn's advice or the link that I sent you.

You need to add the underscore imports to let Scala do its magic.

Timo


Am 01.08.18 um 10:28 schrieb Mich Talebzadeh:

Hi Timo,

These are my two flink table related imports

import org.apache.flink.table.api.Table
import org.apache.flink.table.api.TableEnvironment

And these are my dependencies building with SBT

libraryDependencies += "org.apache.hadoop" % "hadoop-core" % "1.2.1"
libraryDependencies += "org.apache.hbase" % "hbase" % "1.2.6"
libraryDependencies += "org.apache.hbase" % "hbase-client" % "1.2.6"
libraryDependencies += "org.apache.hbase" % "hbase-common" % "1.2.6"
libraryDependencies += "org.apache.hbase" % "hbase-server" % "1.2.6"

libraryDependencies += "org.apache.flink" %% "flink-connector-kafka-0.11" % "1.5.0"
libraryDependencies += "org.apache.flink" %% "flink-connector-kafka-base" % "1.5.0"
libraryDependencies += "org.apache.flink" %% "flink-scala" % "1.5.0"
libraryDependencies += "org.apache.kafka" % "kafka-clients" % "0.11.0.0"
libraryDependencies += "org.apache.flink" %% "flink-streaming-java" % "1.5.0" % "provided"
libraryDependencies += "org.apache.flink" %% "flink-table" % "1.5.0" % "provided"
libraryDependencies += "org.apache.kafka" %% "kafka" % "0.11.0.0"

There appears to be conflict somewhere that cause this error

[info] Compiling 1 Scala source to /home/hduser/dba/bin/flink/md_streaming/target/scala-2.11/classes...
[error] /home/hduser/dba/bin/flink/md_streaming/src/main/scala/myPackage/md_streaming.scala:152: overloaded method value fromDataStream with alternatives:
[error]   [T](dataStream: org.apache.flink.streaming.api.datastream.DataStream[T], fields: String)org.apache.flink.table.api.Table <and>
[error]   [T](dataStream: org.apache.flink.streaming.api.datastream.DataStream[T])org.apache.flink.table.api.Table
[error]  cannot be applied to (org.apache.flink.streaming.api.datastream.DataStreamSource[String], Symbol, Symbol, Symbol, Symbol)
[error]   val table1: Table = tableEnv.fromDataStream(dataStream, 'key, 'ticker, 'timeissued, 'price)
[error]                                ^
[error] one error found
[error] (compile:compileIncremental) Compilation failed

Thanks

On Wed, 1 Aug 2018 at 09:17, Timo Walther <[hidden email]> wrote:

Hi Mich,

I would check you imports again [1]. This is a pure compiler issue that is unrelated to your actual data stream. Also check your project dependencies.

Regards,
Timo

[1] https://ci.apache.org/projects/flink/flink-docs-master/dev/table/common.html#implicit-conversion-for-scala

Am 01.08.18 um 09:30 schrieb Mich Talebzadeh:

Hi both,

I added the import as Hequn suggested.

My stream is very simple and consists of 4 values separated by "," as below 

05521df6-4ccf-4b2f-b874-eb27d461b305,IBM,2018-07-30T19:51:50,190.48

So this is what I have been trying to do

Code

    val dataStream =  streamExecEnv
       .addSource(new FlinkKafkaConsumer011[String](topicsValue, new SimpleStringSchema(), properties))
 //
 //
  val tableEnv = TableEnvironment.getTableEnvironment(streamExecEnv)
  val table1: Table = tableEnv.fromDataStream(dataStream, 'key, 'ticker, 'timeissued, 'price)

note those four columns in Table1 definition

And this is the error being thrown

[info] Compiling 1 Scala source to /home/hduser/dba/bin/flink/md_streaming/target/scala-2.11/classes...
[error] /home/hduser/dba/bin/flink/md_streaming/src/main/scala/myPackage/md_streaming.scala:152: overloaded method value fromDataStream with alternatives:
[error]   [T](dataStream: org.apache.flink.streaming.api.datastream.DataStream[T], fields: String)org.apache.flink.table.api.Table <and>
[error]   [T](dataStream: org.apache.flink.streaming.api.datastream.DataStream[T])org.apache.flink.table.api.Table
[error]  cannot be applied to (org.apache.flink.streaming.api.datastream.DataStreamSource[String], Symbol, Symbol, Symbol, Symbol)
[error]   val table1: Table = tableEnv.fromDataStream(dataStream, 'key, 'ticker, 'timeissued, 'price)
[error]                                ^
[error] one error found
[error] (compile:compileIncremental) Compilation failed

I suspect dataStream may not be compatible with this operation?

Regards,

On Wed, 1 Aug 2018 at 04:51, Hequn Cheng <[hidden email]> wrote:

Hi, Mich

You can try adding "import org.apache.flink.table.api.scala._", so that the Symbol can be recognized as an Expression.

Best, Hequn 

On Wed, Aug 1, 2018 at 6:16 AM, Mich Talebzadeh <[hidden email]> wrote:

Hi,

I am following this example 

https://ci.apache.org/projects/flink/flink-docs-release-1.5/dev/table/common.html#integration-with-datastream-and-dataset-api

This is my dataStream which is built on a Kafka topic

   //
    //Create a Kafka consumer
    //
    val dataStream =  streamExecEnv
       .addSource(new FlinkKafkaConsumer011[String](topicsValue, new SimpleStringSchema(), properties))
 //
 //
  val tableEnv = TableEnvironment.getTableEnvironment(streamExecEnv)
  val table1: Table = tableEnv.fromDataStream(dataStream, 'key, 'ticker, 'timeissued, 'price)

While compiling it throws this error

[error] /home/hduser/dba/bin/flink/md_streaming/src/main/scala/myPackage/md_streaming.scala:169: overloaded method value fromDataStream with alternatives:
[error]   [T](dataStream: org.apache.flink.streaming.api.datastream.DataStream[T], fields: String)org.apache.flink.table.api.Table <and>
[error]   [T](dataStream: org.apache.flink.streaming.api.datastream.DataStream[T])org.apache.flink.table.api.Table
[error]  cannot be applied to (org.apache.flink.streaming.api.datastream.DataStreamSource[String], Symbol, Symbol, Symbol, Symbol)
[error]   val table1: Table = tableEnv.fromDataStream(dataStream, 'key, 'ticker, 'timeissued, 'price)
[error]                                ^
[error] one error found
[error] (compile:compileIncremental) Compilation failed

The topic is very simple, it is comma separated prices. I tried mapFunction and flatMap but neither worked! 

Thanks,

[Fabian Hueske-2]

The problem is that you declared it as provided.

This means the build tool assumes it will be there and therefore does not include it in the Jar file.

By adding it to the lib folder you are providing the dependency.

Best, Fabian

2018-08-06 18:58 GMT+02:00 Mich Talebzadeh <[hidden email]>:

Hi,

I resolved this issue of 

java.lang.NoClassDefFoundError: org/apache/flink/table/api/TableEnvironment

By adding the jar file 

flink-table_2.11-1.5.0.jar

To $FLINK_HOME/lib

It compiles and run OK now. 

Rather strange as I had this dependency in my SBT

libraryDependencies += "org.apache.flink" %% "flink-table" % "1.5.0" % "provided"

HTH

On Thu, 2 Aug 2018 at 08:26, Mich Talebzadeh <[hidden email]> wrote:

Thanks everyone for the advice

This worked and passed the compilation error

import org.apache.flink.table.api.TableEnvironment
import org.apache.flink.table.api.scala._
import org.apache.flink.api.scala._

….

    val dataStream =  streamExecEnv
       .addSource(new FlinkKafkaConsumer011[String](topicsValue, new SimpleStringSchema(), properties))
   val tableEnv = TableEnvironment.getTableEnvironment(streamExecEnv)

  tableEnv.registerDataStream("priceTable", dataStream, "key, ticker, timeissued, price")
  sqltext  = "SELECT key from priceTable";
  val result = tableEnv.sql(sqltext);

Now I get this runtime error

….

[success] Total time: 16 s, completed Aug 2, 2018 8:23:12 AM
Completed compiling
Thu Aug 2 08:23:12 BST 2018 , Running in **Standalone mode**
Starting execution of program
java.lang.NoClassDefFoundError: org/apache/flink/table/api/TableEnvironment$
        at md_streaming$.main(md_streaming.scala:140)
        at md_streaming.main(md_streaming.scala)
        at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
        at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
        at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
        at java.lang.reflect.Method.invoke(Method.java:498)
        at org.apache.flink.client.program.PackagedProgram.callMainMethod(PackagedProgram.java:528)
        at org.apache.flink.client.program.PackagedProgram.invokeInteractiveModeForExecution(PackagedProgram.java:420)
        at org.apache.flink.client.program.ClusterClient.run(ClusterClient.java:404)
        at org.apache.flink.client.cli.CliFrontend.executeProgram(CliFrontend.java:781)
        at org.apache.flink.client.cli.CliFrontend.runProgram(CliFrontend.java:275)
        at org.apache.flink.client.cli.CliFrontend.run(CliFrontend.java:210)
        at org.apache.flink.client.cli.CliFrontend.parseParameters(CliFrontend.java:1020)
        at org.apache.flink.client.cli.CliFrontend.lambda$main$9(CliFrontend.java:1096)
        at java.security.AccessController.doPrivileged(Native Method)
        at javax.security.auth.Subject.doAs(Subject.java:422)
        at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1836)
        at org.apache.flink.runtime.security.HadoopSecurityContext.runSecured(HadoopSecurityContext.java:41)
        at org.apache.flink.client.cli.CliFrontend.main(CliFrontend.java:1096)
Caused by: java.lang.ClassNotFoundException: org.apache.flink.table.api.TableEnvironment$
        at java.net.URLClassLoader.findClass(URLClassLoader.java:381)
        at java.lang.ClassLoader.loadClass(ClassLoader.java:424)
        at java.lang.ClassLoader.loadClass(ClassLoader.java:357)

On Thu, 2 Aug 2018 at 03:07, vino yang <[hidden email]> wrote:

Hi Mich,

It seems that the type of your DataStream stream is always wrong. 

If you want to specify four fields, usually the DataStream type should be similar: DataStream[(Type1, Type2, Type3, Type4)], not DataStream[String], you can try it.

Thanks, vino

2018-08-02 6:44 GMT+08:00 Mich Talebzadeh <[hidden email]>:

Changed as suggested

   val  streamExecEnv = StreamExecutionEnvironment.getExecutionEnvironment
     val dataStream =  streamExecEnv
       .addSource(new FlinkKafkaConsumer011[String](topicsValue, new SimpleStringSchema(), properties))
  val tableEnv = TableEnvironment.getTableEnvironment(streamExecEnv)

  tableEnv.registerDataStream("table1", streamExecEnv, 'key, 'ticker, 'timeissued, 'price)

Still the same error

[info] Compiling 1 Scala source to /home/hduser/dba/bin/flink/md_streaming/target/scala-2.11/classes...
[error] /home/hduser/dba/bin/flink/md_streaming/src/main/scala/myPackage/md_streaming.scala:139: overloaded method value registerDataStream with alternatives:
[error]   [T](name: String, dataStream: org.apache.flink.streaming.api.datastream.DataStream[T], fields: String)Unit <and>
[error]   [T](name: String, dataStream: org.apache.flink.streaming.api.datastream.DataStream[T])Unit
[error]  cannot be applied to (String, org.apache.flink.streaming.api.environment.StreamExecutionEnvironment, Symbol, Symbol, Symbol, Symbol)
[error]   tableEnv.registerDataStream("table1", streamExecEnv, 'key, 'ticker, 'timeissued, 'price)
[error]            ^
[error] one error found
[error] (compile:compileIncremental) Compilation failed
[error] Total time: 3 s, completed Aug 1, 2018 11:40:47 PM

Thanks anyway.

On Wed, 1 Aug 2018 at 23:34, Fabian Hueske <[hidden email]> wrote:

Hi,

You have to pass the StreamExecutionEnvironment to the getTableEnvironment() method, not the DataStream (or DataStreamSource).

Change

val tableEnv = TableEnvironment.getTableEnvironment(dataStream)

to

val tableEnv = TableEnvironment.getTableEnvironment(streamExecEnv)

Best,

Fabian

2018-08-02 0:10 GMT+02:00 Mich Talebzadeh <[hidden email]>:

Hi,

FYI, these are my imports

import java.util.Properties
import java.util.Arrays
import org.apache.flink.api.common.functions.MapFunction
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment
import org.apache.flink.streaming.api.scala

import org.apache.flink.streaming.util.serialization.SimpleStringSchema
import org.apache.flink.table.api.TableEnvironment
import org.apache.flink.table.api.scala._
import org.apache.flink.api.scala._

import org.apache.kafka.clients.consumer.ConsumerConfig
import org.apache.kafka.clients.consumer.ConsumerRecord
import org.apache.kafka.clients.consumer.KafkaConsumer
import org.apache.flink.core.fs.FileSystem
import org.apache.flink.streaming.api.TimeCharacteristic

import org.slf4j.LoggerFactory
import org.apache.flink.streaming.connectors.kafka.{FlinkKafkaConsumer011, FlinkKafkaProducer011}
import java.util.Calendar
import java.util.Date
import java.text.DateFormat
import java.text.SimpleDateFormat
import org.apache.log4j.Logger
import org.apache.log4j.Level
import sys.process.stringSeqToProcess
import java.io.File

And this is the simple code

    val properties = new Properties()

    properties.setProperty("bootstrap.servers", bootstrapServers)
    properties.setProperty("zookeeper.connect", zookeeperConnect)
    properties.setProperty("group.id", flinkAppName)
    properties.setProperty("auto.offset.reset", "latest")
    val  streamExecEnv = StreamExecutionEnvironment.getExecutionEnvironment
    val dataStream =  streamExecEnv
       .addSource(new FlinkKafkaConsumer011[String](topicsValue, new SimpleStringSchema(), properties))
  val tableEnv = TableEnvironment.getTableEnvironment(dataStream)

  tableEnv.registerDataStream("table1", dataStream, 'key, 'ticker, 'timeissued, 'price)

And this is the compilation error

info] Compiling 1 Scala source to /home/hduser/dba/bin/flink/md_streaming/target/scala-2.11/classes...
[error] /home/hduser/dba/bin/flink/md_streaming/src/main/scala/myPackage/md_streaming.scala:138: overloaded method value getTableEnvironment with alternatives:
[error]   (executionEnvironment: org.apache.flink.streaming.api.scala.StreamExecutionEnvironment)org.apache.flink.table.api.scala.StreamTableEnvironment <and>
[error]   (executionEnvironment: org.apache.flink.streaming.api.environment.StreamExecutionEnvironment)org.apache.flink.table.api.java.StreamTableEnvironment <and>
[error]   (executionEnvironment: org.apache.flink.api.scala.ExecutionEnvironment)org.apache.flink.table.api.scala.BatchTableEnvironment <and>
[error]   (executionEnvironment: org.apache.flink.api.java.ExecutionEnvironment)org.apache.flink.table.api.java.BatchTableEnvironment
[error]  cannot be applied to (org.apache.flink.streaming.api.datastream.DataStreamSource[String])
[error]   val tableEnv = TableEnvironment.getTableEnvironment(dataStream)
[error]                                   ^
[error] one error found
[error] (compile:compileIncremental) Compilation failed
[error] Total time: 3 s, completed Aug 1, 2018 11:02:33 PM
Completed compiling

which is really strange

On Wed, 1 Aug 2018 at 13:42, Fabian Hueske <[hidden email]> wrote:

Hi I think you are mixing Java and Scala dependencies.

org.apache.flink.streaming.api.datastream.DataStream is the DataStream of the Java DataStream API.

You should use the DataStream of the Scala DataStream API.

Best, Fabian

2018-08-01 14:01 GMT+02:00 Mich Talebzadeh <[hidden email]>:

Hi,

I believed I tried Hequn's suggestion and tried again

import org.apache.flink.table.api.Table
import org.apache.flink.table.api.TableEnvironment
import org.apache.flink.table.api.scala._

Unfortunately I am still getting the same error!

[info] Compiling 1 Scala source to /home/hduser/dba/bin/flink/md_streaming/target/scala-2.11/classes...
[error] /home/hduser/dba/bin/flink/md_streaming/src/main/scala/myPackage/md_streaming.scala:151: overloaded method value fromDataStream with alternatives:
[error]   [T](dataStream: org.apache.flink.streaming.api.datastream.DataStream[T], fields: String)org.apache.flink.table.api.Table <and>
[error]   [T](dataStream: org.apache.flink.streaming.api.datastream.DataStream[T])org.apache.flink.table.api.Table
[error]  cannot be applied to (org.apache.flink.streaming.api.datastream.DataStreamSource[String], Symbol, Symbol, Symbol, Symbol)
[error]   val table1: Table = tableEnv.fromDataStream(dataStream, 'key, 'ticker, 'timeissued, 'price)
[error]                                ^
[error] one error found
[error] (compile:compileIncremental) Compilation failed
[error] Total time: 3 s, completed Aug 1, 2018 12:59:44 PM
Completed compiling

On Wed, 1 Aug 2018 at 10:03, Timo Walther <[hidden email]> wrote:

If these two imports are the only imports that you added, then you did not follow Hequn's advice or the link that I sent you.

You need to add the underscore imports to let Scala do its magic.

Timo


Am 01.08.18 um 10:28 schrieb Mich Talebzadeh:

Hi Timo,

These are my two flink table related imports

import org.apache.flink.table.api.Table
import org.apache.flink.table.api.TableEnvironment

And these are my dependencies building with SBT

libraryDependencies += "org.apache.hadoop" % "hadoop-core" % "1.2.1"
libraryDependencies += "org.apache.hbase" % "hbase" % "1.2.6"
libraryDependencies += "org.apache.hbase" % "hbase-client" % "1.2.6"
libraryDependencies += "org.apache.hbase" % "hbase-common" % "1.2.6"
libraryDependencies += "org.apache.hbase" % "hbase-server" % "1.2.6"

libraryDependencies += "org.apache.flink" %% "flink-connector-kafka-0.11" % "1.5.0"
libraryDependencies += "org.apache.flink" %% "flink-connector-kafka-base" % "1.5.0"
libraryDependencies += "org.apache.flink" %% "flink-scala" % "1.5.0"
libraryDependencies += "org.apache.kafka" % "kafka-clients" % "0.11.0.0"
libraryDependencies += "org.apache.flink" %% "flink-streaming-java" % "1.5.0" % "provided"
libraryDependencies += "org.apache.flink" %% "flink-table" % "1.5.0" % "provided"
libraryDependencies += "org.apache.kafka" %% "kafka" % "0.11.0.0"

There appears to be conflict somewhere that cause this error

[info] Compiling 1 Scala source to /home/hduser/dba/bin/flink/md_streaming/target/scala-2.11/classes...
[error] /home/hduser/dba/bin/flink/md_streaming/src/main/scala/myPackage/md_streaming.scala:152: overloaded method value fromDataStream with alternatives:
[error]   [T](dataStream: org.apache.flink.streaming.api.datastream.DataStream[T], fields: String)org.apache.flink.table.api.Table <and>
[error]   [T](dataStream: org.apache.flink.streaming.api.datastream.DataStream[T])org.apache.flink.table.api.Table
[error]  cannot be applied to (org.apache.flink.streaming.api.datastream.DataStreamSource[String], Symbol, Symbol, Symbol, Symbol)
[error]   val table1: Table = tableEnv.fromDataStream(dataStream, 'key, 'ticker, 'timeissued, 'price)
[error]                                ^
[error] one error found
[error] (compile:compileIncremental) Compilation failed

Thanks

On Wed, 1 Aug 2018 at 09:17, Timo Walther <[hidden email]> wrote:

Hi Mich,

I would check you imports again [1]. This is a pure compiler issue that is unrelated to your actual data stream. Also check your project dependencies.

Regards,
Timo

[1] https://ci.apache.org/projects/flink/flink-docs-master/dev/table/common.html#implicit-conversion-for-scala

Am 01.08.18 um 09:30 schrieb Mich Talebzadeh:

Hi both,

I added the import as Hequn suggested.

My stream is very simple and consists of 4 values separated by "," as below 

05521df6-4ccf-4b2f-b874-eb27d461b305,IBM,2018-07-30T19:51:50,190.48

So this is what I have been trying to do

Code

    val dataStream =  streamExecEnv
       .addSource(new FlinkKafkaConsumer011[String](topicsValue, new SimpleStringSchema(), properties))
 //
 //
  val tableEnv = TableEnvironment.getTableEnvironment(streamExecEnv)
  val table1: Table = tableEnv.fromDataStream(dataStream, 'key, 'ticker, 'timeissued, 'price)

note those four columns in Table1 definition

And this is the error being thrown

[info] Compiling 1 Scala source to /home/hduser/dba/bin/flink/md_streaming/target/scala-2.11/classes...
[error] /home/hduser/dba/bin/flink/md_streaming/src/main/scala/myPackage/md_streaming.scala:152: overloaded method value fromDataStream with alternatives:
[error]   [T](dataStream: org.apache.flink.streaming.api.datastream.DataStream[T], fields: String)org.apache.flink.table.api.Table <and>
[error]   [T](dataStream: org.apache.flink.streaming.api.datastream.DataStream[T])org.apache.flink.table.api.Table
[error]  cannot be applied to (org.apache.flink.streaming.api.datastream.DataStreamSource[String], Symbol, Symbol, Symbol, Symbol)
[error]   val table1: Table = tableEnv.fromDataStream(dataStream, 'key, 'ticker, 'timeissued, 'price)
[error]                                ^
[error] one error found
[error] (compile:compileIncremental) Compilation failed

I suspect dataStream may not be compatible with this operation?

Regards,

On Wed, 1 Aug 2018 at 04:51, Hequn Cheng <[hidden email]> wrote:

Hi, Mich

You can try adding "import org.apache.flink.table.api.scala._", so that the Symbol can be recognized as an Expression.

Best, Hequn 

On Wed, Aug 1, 2018 at 6:16 AM, Mich Talebzadeh <[hidden email]> wrote:

Hi,

I am following this example 

https://ci.apache.org/projects/flink/flink-docs-release-1.5/dev/table/common.html#integration-with-datastream-and-dataset-api

This is my dataStream which is built on a Kafka topic

   //
    //Create a Kafka consumer
    //
    val dataStream =  streamExecEnv
       .addSource(new FlinkKafkaConsumer011[String](topicsValue, new SimpleStringSchema(), properties))
 //
 //
  val tableEnv = TableEnvironment.getTableEnvironment(streamExecEnv)
  val table1: Table = tableEnv.fromDataStream(dataStream, 'key, 'ticker, 'timeissued, 'price)

While compiling it throws this error

[error] /home/hduser/dba/bin/flink/md_streaming/src/main/scala/myPackage/md_streaming.scala:169: overloaded method value fromDataStream with alternatives:
[error]   [T](dataStream: org.apache.flink.streaming.api.datastream.DataStream[T], fields: String)org.apache.flink.table.api.Table <and>
[error]   [T](dataStream: org.apache.flink.streaming.api.datastream.DataStream[T])org.apache.flink.table.api.Table
[error]  cannot be applied to (org.apache.flink.streaming.api.datastream.DataStreamSource[String], Symbol, Symbol, Symbol, Symbol)
[error]   val table1: Table = tableEnv.fromDataStream(dataStream, 'key, 'ticker, 'timeissued, 'price)
[error]                                ^
[error] one error found
[error] (compile:compileIncremental) Compilation failed

The topic is very simple, it is comma separated prices. I tried mapFunction and flatMap but neither worked! 

Thanks,

[Mich Talebzadeh]

Thanks Fabian,

I looked at the maven and this is what it says <scope>provided</scope>

However, this jar file is not shipped with Flink? Is this deliberate?

Thanks

On Mon, 6 Aug 2018 at 18:14, Fabian Hueske <[hidden email]> wrote:

The problem is that you declared it as provided.

This means the build tool assumes it will be there and therefore does not include it in the Jar file.

By adding it to the lib folder you are providing the dependency.

Best, Fabian

2018-08-06 18:58 GMT+02:00 Mich Talebzadeh <[hidden email]>:

Hi,

I resolved this issue of 

java.lang.NoClassDefFoundError: org/apache/flink/table/api/TableEnvironment

By adding the jar file 

flink-table_2.11-1.5.0.jar

To $FLINK_HOME/lib

It compiles and run OK now. 

Rather strange as I had this dependency in my SBT

libraryDependencies += "org.apache.flink" %% "flink-table" % "1.5.0" % "provided"

HTH

On Thu, 2 Aug 2018 at 08:26, Mich Talebzadeh <[hidden email]> wrote:

Thanks everyone for the advice

This worked and passed the compilation error

import org.apache.flink.table.api.TableEnvironment
import org.apache.flink.table.api.scala._
import org.apache.flink.api.scala._

….

    val dataStream =  streamExecEnv
       .addSource(new FlinkKafkaConsumer011[String](topicsValue, new SimpleStringSchema(), properties))
   val tableEnv = TableEnvironment.getTableEnvironment(streamExecEnv)

  tableEnv.registerDataStream("priceTable", dataStream, "key, ticker, timeissued, price")
  sqltext  = "SELECT key from priceTable";
  val result = tableEnv.sql(sqltext);

Now I get this runtime error

….

[success] Total time: 16 s, completed Aug 2, 2018 8:23:12 AM
Completed compiling
Thu Aug 2 08:23:12 BST 2018 , Running in **Standalone mode**
Starting execution of program
java.lang.NoClassDefFoundError: org/apache/flink/table/api/TableEnvironment$
        at md_streaming$.main(md_streaming.scala:140)
        at md_streaming.main(md_streaming.scala)
        at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
        at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
        at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
        at java.lang.reflect.Method.invoke(Method.java:498)
        at org.apache.flink.client.program.PackagedProgram.callMainMethod(PackagedProgram.java:528)
        at org.apache.flink.client.program.PackagedProgram.invokeInteractiveModeForExecution(PackagedProgram.java:420)
        at org.apache.flink.client.program.ClusterClient.run(ClusterClient.java:404)
        at org.apache.flink.client.cli.CliFrontend.executeProgram(CliFrontend.java:781)
        at org.apache.flink.client.cli.CliFrontend.runProgram(CliFrontend.java:275)
        at org.apache.flink.client.cli.CliFrontend.run(CliFrontend.java:210)
        at org.apache.flink.client.cli.CliFrontend.parseParameters(CliFrontend.java:1020)
        at org.apache.flink.client.cli.CliFrontend.lambda$main$9(CliFrontend.java:1096)
        at java.security.AccessController.doPrivileged(Native Method)
        at javax.security.auth.Subject.doAs(Subject.java:422)
        at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1836)
        at org.apache.flink.runtime.security.HadoopSecurityContext.runSecured(HadoopSecurityContext.java:41)
        at org.apache.flink.client.cli.CliFrontend.main(CliFrontend.java:1096)
Caused by: java.lang.ClassNotFoundException: org.apache.flink.table.api.TableEnvironment$
        at java.net.URLClassLoader.findClass(URLClassLoader.java:381)
        at java.lang.ClassLoader.loadClass(ClassLoader.java:424)
        at java.lang.ClassLoader.loadClass(ClassLoader.java:357)

On Thu, 2 Aug 2018 at 03:07, vino yang <[hidden email]> wrote:

Hi Mich,

It seems that the type of your DataStream stream is always wrong. 

If you want to specify four fields, usually the DataStream type should be similar: DataStream[(Type1, Type2, Type3, Type4)], not DataStream[String], you can try it.

Thanks, vino

2018-08-02 6:44 GMT+08:00 Mich Talebzadeh <[hidden email]>:

Changed as suggested

   val  streamExecEnv = StreamExecutionEnvironment.getExecutionEnvironment
     val dataStream =  streamExecEnv
       .addSource(new FlinkKafkaConsumer011[String](topicsValue, new SimpleStringSchema(), properties))
  val tableEnv = TableEnvironment.getTableEnvironment(streamExecEnv)

  tableEnv.registerDataStream("table1", streamExecEnv, 'key, 'ticker, 'timeissued, 'price)

Still the same error

[info] Compiling 1 Scala source to /home/hduser/dba/bin/flink/md_streaming/target/scala-2.11/classes...
[error] /home/hduser/dba/bin/flink/md_streaming/src/main/scala/myPackage/md_streaming.scala:139: overloaded method value registerDataStream with alternatives:
[error]   [T](name: String, dataStream: org.apache.flink.streaming.api.datastream.DataStream[T], fields: String)Unit <and>
[error]   [T](name: String, dataStream: org.apache.flink.streaming.api.datastream.DataStream[T])Unit
[error]  cannot be applied to (String, org.apache.flink.streaming.api.environment.StreamExecutionEnvironment, Symbol, Symbol, Symbol, Symbol)
[error]   tableEnv.registerDataStream("table1", streamExecEnv, 'key, 'ticker, 'timeissued, 'price)
[error]            ^
[error] one error found
[error] (compile:compileIncremental) Compilation failed
[error] Total time: 3 s, completed Aug 1, 2018 11:40:47 PM

Thanks anyway.

On Wed, 1 Aug 2018 at 23:34, Fabian Hueske <[hidden email]> wrote:

Hi,

You have to pass the StreamExecutionEnvironment to the getTableEnvironment() method, not the DataStream (or DataStreamSource).

Change

val tableEnv = TableEnvironment.getTableEnvironment(dataStream)

to

val tableEnv = TableEnvironment.getTableEnvironment(streamExecEnv)

Best,

Fabian

2018-08-02 0:10 GMT+02:00 Mich Talebzadeh <[hidden email]>:

Hi,

FYI, these are my imports

import java.util.Properties
import java.util.Arrays
import org.apache.flink.api.common.functions.MapFunction
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment
import org.apache.flink.streaming.api.scala

import org.apache.flink.streaming.util.serialization.SimpleStringSchema
import org.apache.flink.table.api.TableEnvironment
import org.apache.flink.table.api.scala._
import org.apache.flink.api.scala._

import org.apache.kafka.clients.consumer.ConsumerConfig
import org.apache.kafka.clients.consumer.ConsumerRecord
import org.apache.kafka.clients.consumer.KafkaConsumer
import org.apache.flink.core.fs.FileSystem
import org.apache.flink.streaming.api.TimeCharacteristic

import org.slf4j.LoggerFactory
import org.apache.flink.streaming.connectors.kafka.{FlinkKafkaConsumer011, FlinkKafkaProducer011}
import java.util.Calendar
import java.util.Date
import java.text.DateFormat
import java.text.SimpleDateFormat
import org.apache.log4j.Logger
import org.apache.log4j.Level
import sys.process.stringSeqToProcess
import java.io.File

And this is the simple code

    val properties = new Properties()

    properties.setProperty("bootstrap.servers", bootstrapServers)
    properties.setProperty("zookeeper.connect", zookeeperConnect)
    properties.setProperty("group.id", flinkAppName)
    properties.setProperty("auto.offset.reset", "latest")
    val  streamExecEnv = StreamExecutionEnvironment.getExecutionEnvironment
    val dataStream =  streamExecEnv
       .addSource(new FlinkKafkaConsumer011[String](topicsValue, new SimpleStringSchema(), properties))
  val tableEnv = TableEnvironment.getTableEnvironment(dataStream)

  tableEnv.registerDataStream("table1", dataStream, 'key, 'ticker, 'timeissued, 'price)

And this is the compilation error

info] Compiling 1 Scala source to /home/hduser/dba/bin/flink/md_streaming/target/scala-2.11/classes...
[error] /home/hduser/dba/bin/flink/md_streaming/src/main/scala/myPackage/md_streaming.scala:138: overloaded method value getTableEnvironment with alternatives:
[error]   (executionEnvironment: org.apache.flink.streaming.api.scala.StreamExecutionEnvironment)org.apache.flink.table.api.scala.StreamTableEnvironment <and>
[error]   (executionEnvironment: org.apache.flink.streaming.api.environment.StreamExecutionEnvironment)org.apache.flink.table.api.java.StreamTableEnvironment <and>
[error]   (executionEnvironment: org.apache.flink.api.scala.ExecutionEnvironment)org.apache.flink.table.api.scala.BatchTableEnvironment <and>
[error]   (executionEnvironment: org.apache.flink.api.java.ExecutionEnvironment)org.apache.flink.table.api.java.BatchTableEnvironment
[error]  cannot be applied to (org.apache.flink.streaming.api.datastream.DataStreamSource[String])
[error]   val tableEnv = TableEnvironment.getTableEnvironment(dataStream)
[error]                                   ^
[error] one error found
[error] (compile:compileIncremental) Compilation failed
[error] Total time: 3 s, completed Aug 1, 2018 11:02:33 PM
Completed compiling

which is really strange

On Wed, 1 Aug 2018 at 13:42, Fabian Hueske <[hidden email]> wrote:

Hi I think you are mixing Java and Scala dependencies.

org.apache.flink.streaming.api.datastream.DataStream is the DataStream of the Java DataStream API.

You should use the DataStream of the Scala DataStream API.

Best, Fabian

2018-08-01 14:01 GMT+02:00 Mich Talebzadeh <[hidden email]>:

Hi,

I believed I tried Hequn's suggestion and tried again

import org.apache.flink.table.api.Table
import org.apache.flink.table.api.TableEnvironment
import org.apache.flink.table.api.scala._

Unfortunately I am still getting the same error!

[info] Compiling 1 Scala source to /home/hduser/dba/bin/flink/md_streaming/target/scala-2.11/classes...
[error] /home/hduser/dba/bin/flink/md_streaming/src/main/scala/myPackage/md_streaming.scala:151: overloaded method value fromDataStream with alternatives:
[error]   [T](dataStream: org.apache.flink.streaming.api.datastream.DataStream[T], fields: String)org.apache.flink.table.api.Table <and>
[error]   [T](dataStream: org.apache.flink.streaming.api.datastream.DataStream[T])org.apache.flink.table.api.Table
[error]  cannot be applied to (org.apache.flink.streaming.api.datastream.DataStreamSource[String], Symbol, Symbol, Symbol, Symbol)
[error]   val table1: Table = tableEnv.fromDataStream(dataStream, 'key, 'ticker, 'timeissued, 'price)
[error]                                ^
[error] one error found
[error] (compile:compileIncremental) Compilation failed
[error] Total time: 3 s, completed Aug 1, 2018 12:59:44 PM
Completed compiling

On Wed, 1 Aug 2018 at 10:03, Timo Walther <[hidden email]> wrote:

If these two imports are the only imports that you added, then you did not follow Hequn's advice or the link that I sent you.

You need to add the underscore imports to let Scala do its magic.

Timo


Am 01.08.18 um 10:28 schrieb Mich Talebzadeh:

Hi Timo,

These are my two flink table related imports

import org.apache.flink.table.api.Table
import org.apache.flink.table.api.TableEnvironment

And these are my dependencies building with SBT

libraryDependencies += "org.apache.hadoop" % "hadoop-core" % "1.2.1"
libraryDependencies += "org.apache.hbase" % "hbase" % "1.2.6"
libraryDependencies += "org.apache.hbase" % "hbase-client" % "1.2.6"
libraryDependencies += "org.apache.hbase" % "hbase-common" % "1.2.6"
libraryDependencies += "org.apache.hbase" % "hbase-server" % "1.2.6"

libraryDependencies += "org.apache.flink" %% "flink-connector-kafka-0.11" % "1.5.0"
libraryDependencies += "org.apache.flink" %% "flink-connector-kafka-base" % "1.5.0"
libraryDependencies += "org.apache.flink" %% "flink-scala" % "1.5.0"
libraryDependencies += "org.apache.kafka" % "kafka-clients" % "0.11.0.0"
libraryDependencies += "org.apache.flink" %% "flink-streaming-java" % "1.5.0" % "provided"
libraryDependencies += "org.apache.flink" %% "flink-table" % "1.5.0" % "provided"
libraryDependencies += "org.apache.kafka" %% "kafka" % "0.11.0.0"

There appears to be conflict somewhere that cause this error

[info] Compiling 1 Scala source to /home/hduser/dba/bin/flink/md_streaming/target/scala-2.11/classes...
[error] /home/hduser/dba/bin/flink/md_streaming/src/main/scala/myPackage/md_streaming.scala:152: overloaded method value fromDataStream with alternatives:
[error]   [T](dataStream: org.apache.flink.streaming.api.datastream.DataStream[T], fields: String)org.apache.flink.table.api.Table <and>
[error]   [T](dataStream: org.apache.flink.streaming.api.datastream.DataStream[T])org.apache.flink.table.api.Table
[error]  cannot be applied to (org.apache.flink.streaming.api.datastream.DataStreamSource[String], Symbol, Symbol, Symbol, Symbol)
[error]   val table1: Table = tableEnv.fromDataStream(dataStream, 'key, 'ticker, 'timeissued, 'price)
[error]                                ^
[error] one error found
[error] (compile:compileIncremental) Compilation failed

Thanks

On Wed, 1 Aug 2018 at 09:17, Timo Walther <[hidden email]> wrote:

Hi Mich,

I would check you imports again [1]. This is a pure compiler issue that is unrelated to your actual data stream. Also check your project dependencies.

Regards,
Timo

[1] https://ci.apache.org/projects/flink/flink-docs-master/dev/table/common.html#implicit-conversion-for-scala

Am 01.08.18 um 09:30 schrieb Mich Talebzadeh:

Hi both,

I added the import as Hequn suggested.

My stream is very simple and consists of 4 values separated by "," as below 

05521df6-4ccf-4b2f-b874-eb27d461b305,IBM,2018-07-30T19:51:50,190.48

So this is what I have been trying to do

Code

    val dataStream =  streamExecEnv
       .addSource(new FlinkKafkaConsumer011[String](topicsValue, new SimpleStringSchema(), properties))
 //
 //
  val tableEnv = TableEnvironment.getTableEnvironment(streamExecEnv)
  val table1: Table = tableEnv.fromDataStream(dataStream, 'key, 'ticker, 'timeissued, 'price)

note those four columns in Table1 definition

And this is the error being thrown

[info] Compiling 1 Scala source to /home/hduser/dba/bin/flink/md_streaming/target/scala-2.11/classes...
[error] /home/hduser/dba/bin/flink/md_streaming/src/main/scala/myPackage/md_streaming.scala:152: overloaded method value fromDataStream with alternatives:
[error]   [T](dataStream: org.apache.flink.streaming.api.datastream.DataStream[T], fields: String)org.apache.flink.table.api.Table <and>
[error]   [T](dataStream: org.apache.flink.streaming.api.datastream.DataStream[T])org.apache.flink.table.api.Table
[error]  cannot be applied to (org.apache.flink.streaming.api.datastream.DataStreamSource[String], Symbol, Symbol, Symbol, Symbol)
[error]   val table1: Table = tableEnv.fromDataStream(dataStream, 'key, 'ticker, 'timeissued, 'price)
[error]                                ^
[error] one error found
[error] (compile:compileIncremental) Compilation failed

I suspect dataStream may not be compatible with this operation?

Regards,

On Wed, 1 Aug 2018 at 04:51, Hequn Cheng <[hidden email]> wrote:

Hi, Mich

You can try adding "import org.apache.flink.table.api.scala._", so that the Symbol can be recognized as an Expression.

Best, Hequn 

On Wed, Aug 1, 2018 at 6:16 AM, Mich Talebzadeh <[hidden email]> wrote:

Hi,

I am following this example 

https://ci.apache.org/projects/flink/flink-docs-release-1.5/dev/table/common.html#integration-with-datastream-and-dataset-api

This is my dataStream which is built on a Kafka topic

   //
    //Create a Kafka consumer
    //
    val dataStream =  streamExecEnv
       .addSource(new FlinkKafkaConsumer011[String](topicsValue, new SimpleStringSchema(), properties))
 //
 //
  val tableEnv = TableEnvironment.getTableEnvironment(streamExecEnv)
  val table1: Table = tableEnv.fromDataStream(dataStream, 'key, 'ticker, 'timeissued, 'price)

While compiling it throws this error

[error] /home/hduser/dba/bin/flink/md_streaming/src/main/scala/myPackage/md_streaming.scala:169: overloaded method value fromDataStream with alternatives:
[error]   [T](dataStream: org.apache.flink.streaming.api.datastream.DataStream[T], fields: String)org.apache.flink.table.api.Table <and>
[error]   [T](dataStream: org.apache.flink.streaming.api.datastream.DataStream[T])org.apache.flink.table.api.Table
[error]  cannot be applied to (org.apache.flink.streaming.api.datastream.DataStreamSource[String], Symbol, Symbol, Symbol, Symbol)
[error]   val table1: Table = tableEnv.fromDataStream(dataStream, 'key, 'ticker, 'timeissued, 'price)
[error]                                ^
[error] one error found
[error] (compile:compileIncremental) Compilation failed

The topic is very simple, it is comma separated prices. I tried mapFunction and flatMap but neither worked! 

Thanks,

[Hequn Cheng]

Hi Mich,

I think this is the behavior of the compiler. When run your job in local, you have to remove the provided or add jar to the lib path. But if run on cluster, you have to add the provided to ignore flink classes, since these classes are already exist in your installation version.

Best, Hequn

On Tue, Aug 7, 2018 at 1:34 AM, Mich Talebzadeh <[hidden email]> wrote:

Thanks Fabian,

I looked at the maven and this is what it says <scope>provided</scope>

However, this jar file is not shipped with Flink? Is this deliberate?

Thanks

On Mon, 6 Aug 2018 at 18:14, Fabian Hueske <[hidden email]> wrote:

The problem is that you declared it as provided.

This means the build tool assumes it will be there and therefore does not include it in the Jar file.

By adding it to the lib folder you are providing the dependency.

Best, Fabian

2018-08-06 18:58 GMT+02:00 Mich Talebzadeh <[hidden email]>:

Hi,

I resolved this issue of 

java.lang.NoClassDefFoundError: org/apache/flink/table/api/TableEnvironment

By adding the jar file 

flink-table_2.11-1.5.0.jar

To $FLINK_HOME/lib

It compiles and run OK now. 

Rather strange as I had this dependency in my SBT

libraryDependencies += "org.apache.flink" %% "flink-table" % "1.5.0" % "provided"

HTH

On Thu, 2 Aug 2018 at 08:26, Mich Talebzadeh <[hidden email]> wrote:

Thanks everyone for the advice

This worked and passed the compilation error

import org.apache.flink.table.api.TableEnvironment
import org.apache.flink.table.api.scala._
import org.apache.flink.api.scala._

….

    val dataStream =  streamExecEnv
       .addSource(new FlinkKafkaConsumer011[String](topicsValue, new SimpleStringSchema(), properties))
   val tableEnv = TableEnvironment.getTableEnvironment(streamExecEnv)

  tableEnv.registerDataStream("priceTable", dataStream, "key, ticker, timeissued, price")
  sqltext  = "SELECT key from priceTable";
  val result = tableEnv.sql(sqltext);

Now I get this runtime error

….

[success] Total time: 16 s, completed Aug 2, 2018 8:23:12 AM
Completed compiling
Thu Aug 2 08:23:12 BST 2018 , Running in **Standalone mode**
Starting execution of program
java.lang.NoClassDefFoundError: org/apache/flink/table/api/TableEnvironment$
        at md_streaming$.main(md_streaming.scala:140)
        at md_streaming.main(md_streaming.scala)
        at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
        at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
        at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
        at java.lang.reflect.Method.invoke(Method.java:498)
        at org.apache.flink.client.program.PackagedProgram.callMainMethod(PackagedProgram.java:528)
        at org.apache.flink.client.program.PackagedProgram.invokeInteractiveModeForExecution(PackagedProgram.java:420)
        at org.apache.flink.client.program.ClusterClient.run(ClusterClient.java:404)
        at org.apache.flink.client.cli.CliFrontend.executeProgram(CliFrontend.java:781)
        at org.apache.flink.client.cli.CliFrontend.runProgram(CliFrontend.java:275)
        at org.apache.flink.client.cli.CliFrontend.run(CliFrontend.java:210)
        at org.apache.flink.client.cli.CliFrontend.parseParameters(CliFrontend.java:1020)
        at org.apache.flink.client.cli.CliFrontend.lambda$main$9(CliFrontend.java:1096)
        at java.security.AccessController.doPrivileged(Native Method)
        at javax.security.auth.Subject.doAs(Subject.java:422)
        at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1836)
        at org.apache.flink.runtime.security.HadoopSecurityContext.runSecured(HadoopSecurityContext.java:41)
        at org.apache.flink.client.cli.CliFrontend.main(CliFrontend.java:1096)
Caused by: java.lang.ClassNotFoundException: org.apache.flink.table.api.TableEnvironment$
        at java.net.URLClassLoader.findClass(URLClassLoader.java:381)
        at java.lang.ClassLoader.loadClass(ClassLoader.java:424)
        at java.lang.ClassLoader.loadClass(ClassLoader.java:357)

On Thu, 2 Aug 2018 at 03:07, vino yang <[hidden email]> wrote:

Hi Mich,

It seems that the type of your DataStream stream is always wrong. 

If you want to specify four fields, usually the DataStream type should be similar: DataStream[(Type1, Type2, Type3, Type4)], not DataStream[String], you can try it.

Thanks, vino

2018-08-02 6:44 GMT+08:00 Mich Talebzadeh <[hidden email]>:

Changed as suggested

   val  streamExecEnv = StreamExecutionEnvironment.getExecutionEnvironment
     val dataStream =  streamExecEnv
       .addSource(new FlinkKafkaConsumer011[String](topicsValue, new SimpleStringSchema(), properties))
  val tableEnv = TableEnvironment.getTableEnvironment(streamExecEnv)

  tableEnv.registerDataStream("table1", streamExecEnv, 'key, 'ticker, 'timeissued, 'price)

Still the same error

[info] Compiling 1 Scala source to /home/hduser/dba/bin/flink/md_streaming/target/scala-2.11/classes...
[error] /home/hduser/dba/bin/flink/md_streaming/src/main/scala/myPackage/md_streaming.scala:139: overloaded method value registerDataStream with alternatives:
[error]   [T](name: String, dataStream: org.apache.flink.streaming.api.datastream.DataStream[T], fields: String)Unit <and>
[error]   [T](name: String, dataStream: org.apache.flink.streaming.api.datastream.DataStream[T])Unit
[error]  cannot be applied to (String, org.apache.flink.streaming.api.environment.StreamExecutionEnvironment, Symbol, Symbol, Symbol, Symbol)
[error]   tableEnv.registerDataStream("table1", streamExecEnv, 'key, 'ticker, 'timeissued, 'price)
[error]            ^
[error] one error found
[error] (compile:compileIncremental) Compilation failed
[error] Total time: 3 s, completed Aug 1, 2018 11:40:47 PM

Thanks anyway.

On Wed, 1 Aug 2018 at 23:34, Fabian Hueske <[hidden email]> wrote:

Hi,

You have to pass the StreamExecutionEnvironment to the getTableEnvironment() method, not the DataStream (or DataStreamSource).

Change

val tableEnv = TableEnvironment.getTableEnvironment(dataStream)

to

val tableEnv = TableEnvironment.getTableEnvironment(streamExecEnv)

Best,

Fabian

2018-08-02 0:10 GMT+02:00 Mich Talebzadeh <[hidden email]>:

Hi,

FYI, these are my imports

import java.util.Properties
import java.util.Arrays
import org.apache.flink.api.common.functions.MapFunction
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment
import org.apache.flink.streaming.api.scala

import org.apache.flink.streaming.util.serialization.SimpleStringSchema
import org.apache.flink.table.api.TableEnvironment
import org.apache.flink.table.api.scala._
import org.apache.flink.api.scala._

import org.apache.kafka.clients.consumer.ConsumerConfig
import org.apache.kafka.clients.consumer.ConsumerRecord
import org.apache.kafka.clients.consumer.KafkaConsumer
import org.apache.flink.core.fs.FileSystem
import org.apache.flink.streaming.api.TimeCharacteristic

import org.slf4j.LoggerFactory
import org.apache.flink.streaming.connectors.kafka.{FlinkKafkaConsumer011, FlinkKafkaProducer011}
import java.util.Calendar
import java.util.Date
import java.text.DateFormat
import java.text.SimpleDateFormat
import org.apache.log4j.Logger
import org.apache.log4j.Level
import sys.process.stringSeqToProcess
import java.io.File

And this is the simple code

    val properties = new Properties()

    properties.setProperty("bootstrap.servers", bootstrapServers)
    properties.setProperty("zookeeper.connect", zookeeperConnect)
    properties.setProperty("group.id", flinkAppName)
    properties.setProperty("auto.offset.reset", "latest")
    val  streamExecEnv = StreamExecutionEnvironment.getExecutionEnvironment
    val dataStream =  streamExecEnv
       .addSource(new FlinkKafkaConsumer011[String](topicsValue, new SimpleStringSchema(), properties))
  val tableEnv = TableEnvironment.getTableEnvironment(dataStream)

  tableEnv.registerDataStream("table1", dataStream, 'key, 'ticker, 'timeissued, 'price)

And this is the compilation error

info] Compiling 1 Scala source to /home/hduser/dba/bin/flink/md_streaming/target/scala-2.11/classes...
[error] /home/hduser/dba/bin/flink/md_streaming/src/main/scala/myPackage/md_streaming.scala:138: overloaded method value getTableEnvironment with alternatives:
[error]   (executionEnvironment: org.apache.flink.streaming.api.scala.StreamExecutionEnvironment)org.apache.flink.table.api.scala.StreamTableEnvironment <and>
[error]   (executionEnvironment: org.apache.flink.streaming.api.environment.StreamExecutionEnvironment)org.apache.flink.table.api.java.StreamTableEnvironment <and>
[error]   (executionEnvironment: org.apache.flink.api.scala.ExecutionEnvironment)org.apache.flink.table.api.scala.BatchTableEnvironment <and>
[error]   (executionEnvironment: org.apache.flink.api.java.ExecutionEnvironment)org.apache.flink.table.api.java.BatchTableEnvironment
[error]  cannot be applied to (org.apache.flink.streaming.api.datastream.DataStreamSource[String])
[error]   val tableEnv = TableEnvironment.getTableEnvironment(dataStream)
[error]                                   ^
[error] one error found
[error] (compile:compileIncremental) Compilation failed
[error] Total time: 3 s, completed Aug 1, 2018 11:02:33 PM
Completed compiling

which is really strange

On Wed, 1 Aug 2018 at 13:42, Fabian Hueske <[hidden email]> wrote:

Hi I think you are mixing Java and Scala dependencies.

org.apache.flink.streaming.api.datastream.DataStream is the DataStream of the Java DataStream API.

You should use the DataStream of the Scala DataStream API.

Best, Fabian

2018-08-01 14:01 GMT+02:00 Mich Talebzadeh <[hidden email]>:

Hi,

I believed I tried Hequn's suggestion and tried again

import org.apache.flink.table.api.Table
import org.apache.flink.table.api.TableEnvironment
import org.apache.flink.table.api.scala._

Unfortunately I am still getting the same error!

[info] Compiling 1 Scala source to /home/hduser/dba/bin/flink/md_streaming/target/scala-2.11/classes...
[error] /home/hduser/dba/bin/flink/md_streaming/src/main/scala/myPackage/md_streaming.scala:151: overloaded method value fromDataStream with alternatives:
[error]   [T](dataStream: org.apache.flink.streaming.api.datastream.DataStream[T], fields: String)org.apache.flink.table.api.Table <and>
[error]   [T](dataStream: org.apache.flink.streaming.api.datastream.DataStream[T])org.apache.flink.table.api.Table
[error]  cannot be applied to (org.apache.flink.streaming.api.datastream.DataStreamSource[String], Symbol, Symbol, Symbol, Symbol)
[error]   val table1: Table = tableEnv.fromDataStream(dataStream, 'key, 'ticker, 'timeissued, 'price)
[error]                                ^
[error] one error found
[error] (compile:compileIncremental) Compilation failed
[error] Total time: 3 s, completed Aug 1, 2018 12:59:44 PM
Completed compiling

On Wed, 1 Aug 2018 at 10:03, Timo Walther <[hidden email]> wrote:

If these two imports are the only imports that you added, then you did not follow Hequn's advice or the link that I sent you.

You need to add the underscore imports to let Scala do its magic.

Timo


Am 01.08.18 um 10:28 schrieb Mich Talebzadeh:

Hi Timo,

These are my two flink table related imports

import org.apache.flink.table.api.Table
import org.apache.flink.table.api.TableEnvironment

And these are my dependencies building with SBT

libraryDependencies += "org.apache.hadoop" % "hadoop-core" % "1.2.1"
libraryDependencies += "org.apache.hbase" % "hbase" % "1.2.6"
libraryDependencies += "org.apache.hbase" % "hbase-client" % "1.2.6"
libraryDependencies += "org.apache.hbase" % "hbase-common" % "1.2.6"
libraryDependencies += "org.apache.hbase" % "hbase-server" % "1.2.6"

libraryDependencies += "org.apache.flink" %% "flink-connector-kafka-0.11" % "1.5.0"
libraryDependencies += "org.apache.flink" %% "flink-connector-kafka-base" % "1.5.0"
libraryDependencies += "org.apache.flink" %% "flink-scala" % "1.5.0"
libraryDependencies += "org.apache.kafka" % "kafka-clients" % "0.11.0.0"
libraryDependencies += "org.apache.flink" %% "flink-streaming-java" % "1.5.0" % "provided"
libraryDependencies += "org.apache.flink" %% "flink-table" % "1.5.0" % "provided"
libraryDependencies += "org.apache.kafka" %% "kafka" % "0.11.0.0"

There appears to be conflict somewhere that cause this error

[info] Compiling 1 Scala source to /home/hduser/dba/bin/flink/md_streaming/target/scala-2.11/classes...
[error] /home/hduser/dba/bin/flink/md_streaming/src/main/scala/myPackage/md_streaming.scala:152: overloaded method value fromDataStream with alternatives:
[error]   [T](dataStream: org.apache.flink.streaming.api.datastream.DataStream[T], fields: String)org.apache.flink.table.api.Table <and>
[error]   [T](dataStream: org.apache.flink.streaming.api.datastream.DataStream[T])org.apache.flink.table.api.Table
[error]  cannot be applied to (org.apache.flink.streaming.api.datastream.DataStreamSource[String], Symbol, Symbol, Symbol, Symbol)
[error]   val table1: Table = tableEnv.fromDataStream(dataStream, 'key, 'ticker, 'timeissued, 'price)
[error]                                ^
[error] one error found
[error] (compile:compileIncremental) Compilation failed

Thanks

On Wed, 1 Aug 2018 at 09:17, Timo Walther <[hidden email]> wrote:

Hi Mich,

I would check you imports again [1]. This is a pure compiler issue that is unrelated to your actual data stream. Also check your project dependencies.

Regards,
Timo

[1] https://ci.apache.org/projects/flink/flink-docs-master/dev/table/common.html#implicit-conversion-for-scala

Am 01.08.18 um 09:30 schrieb Mich Talebzadeh:

Hi both,

I added the import as Hequn suggested.

My stream is very simple and consists of 4 values separated by "," as below 

05521df6-4ccf-4b2f-b874-eb27d461b305,IBM,2018-07-30T19:51:50,190.48

So this is what I have been trying to do

Code

    val dataStream =  streamExecEnv
       .addSource(new FlinkKafkaConsumer011[String](topicsValue, new SimpleStringSchema(), properties))
 //
 //
  val tableEnv = TableEnvironment.getTableEnvironment(streamExecEnv)
  val table1: Table = tableEnv.fromDataStream(dataStream, 'key, 'ticker, 'timeissued, 'price)

note those four columns in Table1 definition

And this is the error being thrown

[info] Compiling 1 Scala source to /home/hduser/dba/bin/flink/md_streaming/target/scala-2.11/classes...
[error] /home/hduser/dba/bin/flink/md_streaming/src/main/scala/myPackage/md_streaming.scala:152: overloaded method value fromDataStream with alternatives:
[error]   [T](dataStream: org.apache.flink.streaming.api.datastream.DataStream[T], fields: String)org.apache.flink.table.api.Table <and>
[error]   [T](dataStream: org.apache.flink.streaming.api.datastream.DataStream[T])org.apache.flink.table.api.Table
[error]  cannot be applied to (org.apache.flink.streaming.api.datastream.DataStreamSource[String], Symbol, Symbol, Symbol, Symbol)
[error]   val table1: Table = tableEnv.fromDataStream(dataStream, 'key, 'ticker, 'timeissued, 'price)
[error]                                ^
[error] one error found
[error] (compile:compileIncremental) Compilation failed

I suspect dataStream may not be compatible with this operation?

Regards,

On Wed, 1 Aug 2018 at 04:51, Hequn Cheng <[hidden email]> wrote:

Hi, Mich

You can try adding "import org.apache.flink.table.api.scala._", so that the Symbol can be recognized as an Expression.

Best, Hequn 

On Wed, Aug 1, 2018 at 6:16 AM, Mich Talebzadeh <[hidden email]> wrote:

Hi,

I am following this example 

https://ci.apache.org/projects/flink/flink-docs-release-1.5/dev/table/common.html#integration-with-datastream-and-dataset-api

This is my dataStream which is built on a Kafka topic

   //
    //Create a Kafka consumer
    //
    val dataStream =  streamExecEnv
       .addSource(new FlinkKafkaConsumer011[String](topicsValue, new SimpleStringSchema(), properties))
 //
 //
  val tableEnv = TableEnvironment.getTableEnvironment(streamExecEnv)
  val table1: Table = tableEnv.fromDataStream(dataStream, 'key, 'ticker, 'timeissued, 'price)

While compiling it throws this error

[error] /home/hduser/dba/bin/flink/md_streaming/src/main/scala/myPackage/md_streaming.scala:169: overloaded method value fromDataStream with alternatives:
[error]   [T](dataStream: org.apache.flink.streaming.api.datastream.DataStream[T], fields: String)org.apache.flink.table.api.Table <and>
[error]   [T](dataStream: org.apache.flink.streaming.api.datastream.DataStream[T])org.apache.flink.table.api.Table
[error]  cannot be applied to (org.apache.flink.streaming.api.datastream.DataStreamSource[String], Symbol, Symbol, Symbol, Symbol)
[error]   val table1: Table = tableEnv.fromDataStream(dataStream, 'key, 'ticker, 'timeissued, 'price)
[error]                                ^
[error] one error found
[error] (compile:compileIncremental) Compilation failed

The topic is very simple, it is comma separated prices. I tried mapFunction and flatMap but neither worked! 

Thanks,

[Mich Talebzadeh]

Ok gents thanks for clarification.

Regards,

On Tue, 7 Aug 2018 at 02:21, Hequn Cheng <[hidden email]> wrote:

Hi Mich,

I think this is the behavior of the compiler. When run your job in local, you have to remove the provided or add jar to the lib path. But if run on cluster, you have to add the provided to ignore flink classes, since these classes are already exist in your installation version.

Best, Hequn

On Tue, Aug 7, 2018 at 1:34 AM, Mich Talebzadeh <[hidden email]> wrote:

Thanks Fabian,

I looked at the maven and this is what it says <scope>provided</scope>

However, this jar file is not shipped with Flink? Is this deliberate?

Thanks

On Mon, 6 Aug 2018 at 18:14, Fabian Hueske <[hidden email]> wrote:

The problem is that you declared it as provided.

This means the build tool assumes it will be there and therefore does not include it in the Jar file.

By adding it to the lib folder you are providing the dependency.

Best, Fabian

2018-08-06 18:58 GMT+02:00 Mich Talebzadeh <[hidden email]>:

Hi,

I resolved this issue of 

java.lang.NoClassDefFoundError: org/apache/flink/table/api/TableEnvironment

By adding the jar file 

flink-table_2.11-1.5.0.jar

To $FLINK_HOME/lib

It compiles and run OK now. 

Rather strange as I had this dependency in my SBT

libraryDependencies += "org.apache.flink" %% "flink-table" % "1.5.0" % "provided"

HTH

On Thu, 2 Aug 2018 at 08:26, Mich Talebzadeh <[hidden email]> wrote:

Thanks everyone for the advice

This worked and passed the compilation error

import org.apache.flink.table.api.TableEnvironment
import org.apache.flink.table.api.scala._
import org.apache.flink.api.scala._

….

    val dataStream =  streamExecEnv
       .addSource(new FlinkKafkaConsumer011[String](topicsValue, new SimpleStringSchema(), properties))
   val tableEnv = TableEnvironment.getTableEnvironment(streamExecEnv)

  tableEnv.registerDataStream("priceTable", dataStream, "key, ticker, timeissued, price")
  sqltext  = "SELECT key from priceTable";
  val result = tableEnv.sql(sqltext);

Now I get this runtime error

….

[success] Total time: 16 s, completed Aug 2, 2018 8:23:12 AM
Completed compiling
Thu Aug 2 08:23:12 BST 2018 , Running in **Standalone mode**
Starting execution of program
java.lang.NoClassDefFoundError: org/apache/flink/table/api/TableEnvironment$
        at md_streaming$.main(md_streaming.scala:140)
        at md_streaming.main(md_streaming.scala)
        at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
        at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
        at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
        at java.lang.reflect.Method.invoke(Method.java:498)
        at org.apache.flink.client.program.PackagedProgram.callMainMethod(PackagedProgram.java:528)
        at org.apache.flink.client.program.PackagedProgram.invokeInteractiveModeForExecution(PackagedProgram.java:420)
        at org.apache.flink.client.program.ClusterClient.run(ClusterClient.java:404)
        at org.apache.flink.client.cli.CliFrontend.executeProgram(CliFrontend.java:781)
        at org.apache.flink.client.cli.CliFrontend.runProgram(CliFrontend.java:275)
        at org.apache.flink.client.cli.CliFrontend.run(CliFrontend.java:210)
        at org.apache.flink.client.cli.CliFrontend.parseParameters(CliFrontend.java:1020)
        at org.apache.flink.client.cli.CliFrontend.lambda$main$9(CliFrontend.java:1096)
        at java.security.AccessController.doPrivileged(Native Method)
        at javax.security.auth.Subject.doAs(Subject.java:422)
        at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1836)
        at org.apache.flink.runtime.security.HadoopSecurityContext.runSecured(HadoopSecurityContext.java:41)
        at org.apache.flink.client.cli.CliFrontend.main(CliFrontend.java:1096)
Caused by: java.lang.ClassNotFoundException: org.apache.flink.table.api.TableEnvironment$
        at java.net.URLClassLoader.findClass(URLClassLoader.java:381)
        at java.lang.ClassLoader.loadClass(ClassLoader.java:424)
        at java.lang.ClassLoader.loadClass(ClassLoader.java:357)

On Thu, 2 Aug 2018 at 03:07, vino yang <[hidden email]> wrote:

Hi Mich,

It seems that the type of your DataStream stream is always wrong. 

If you want to specify four fields, usually the DataStream type should be similar: DataStream[(Type1, Type2, Type3, Type4)], not DataStream[String], you can try it.

Thanks, vino

2018-08-02 6:44 GMT+08:00 Mich Talebzadeh <[hidden email]>:

Changed as suggested

   val  streamExecEnv = StreamExecutionEnvironment.getExecutionEnvironment
     val dataStream =  streamExecEnv
       .addSource(new FlinkKafkaConsumer011[String](topicsValue, new SimpleStringSchema(), properties))
  val tableEnv = TableEnvironment.getTableEnvironment(streamExecEnv)

  tableEnv.registerDataStream("table1", streamExecEnv, 'key, 'ticker, 'timeissued, 'price)

Still the same error

[info] Compiling 1 Scala source to /home/hduser/dba/bin/flink/md_streaming/target/scala-2.11/classes...
[error] /home/hduser/dba/bin/flink/md_streaming/src/main/scala/myPackage/md_streaming.scala:139: overloaded method value registerDataStream with alternatives:
[error]   [T](name: String, dataStream: org.apache.flink.streaming.api.datastream.DataStream[T], fields: String)Unit <and>
[error]   [T](name: String, dataStream: org.apache.flink.streaming.api.datastream.DataStream[T])Unit
[error]  cannot be applied to (String, org.apache.flink.streaming.api.environment.StreamExecutionEnvironment, Symbol, Symbol, Symbol, Symbol)
[error]   tableEnv.registerDataStream("table1", streamExecEnv, 'key, 'ticker, 'timeissued, 'price)
[error]            ^
[error] one error found
[error] (compile:compileIncremental) Compilation failed
[error] Total time: 3 s, completed Aug 1, 2018 11:40:47 PM

Thanks anyway.

On Wed, 1 Aug 2018 at 23:34, Fabian Hueske <[hidden email]> wrote:

Hi,

You have to pass the StreamExecutionEnvironment to the getTableEnvironment() method, not the DataStream (or DataStreamSource).

Change

val tableEnv = TableEnvironment.getTableEnvironment(dataStream)

to

val tableEnv = TableEnvironment.getTableEnvironment(streamExecEnv)

Best,

Fabian

2018-08-02 0:10 GMT+02:00 Mich Talebzadeh <[hidden email]>:

Hi,

FYI, these are my imports

import java.util.Properties
import java.util.Arrays
import org.apache.flink.api.common.functions.MapFunction
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment
import org.apache.flink.streaming.api.scala

import org.apache.flink.streaming.util.serialization.SimpleStringSchema
import org.apache.flink.table.api.TableEnvironment
import org.apache.flink.table.api.scala._
import org.apache.flink.api.scala._

import org.apache.kafka.clients.consumer.ConsumerConfig
import org.apache.kafka.clients.consumer.ConsumerRecord
import org.apache.kafka.clients.consumer.KafkaConsumer
import org.apache.flink.core.fs.FileSystem
import org.apache.flink.streaming.api.TimeCharacteristic

import org.slf4j.LoggerFactory
import org.apache.flink.streaming.connectors.kafka.{FlinkKafkaConsumer011, FlinkKafkaProducer011}
import java.util.Calendar
import java.util.Date
import java.text.DateFormat
import java.text.SimpleDateFormat
import org.apache.log4j.Logger
import org.apache.log4j.Level
import sys.process.stringSeqToProcess
import java.io.File

And this is the simple code

    val properties = new Properties()

    properties.setProperty("bootstrap.servers", bootstrapServers)
    properties.setProperty("zookeeper.connect", zookeeperConnect)
    properties.setProperty("group.id", flinkAppName)
    properties.setProperty("auto.offset.reset", "latest")
    val  streamExecEnv = StreamExecutionEnvironment.getExecutionEnvironment
    val dataStream =  streamExecEnv
       .addSource(new FlinkKafkaConsumer011[String](topicsValue, new SimpleStringSchema(), properties))
  val tableEnv = TableEnvironment.getTableEnvironment(dataStream)

  tableEnv.registerDataStream("table1", dataStream, 'key, 'ticker, 'timeissued, 'price)

And this is the compilation error

info] Compiling 1 Scala source to /home/hduser/dba/bin/flink/md_streaming/target/scala-2.11/classes...
[error] /home/hduser/dba/bin/flink/md_streaming/src/main/scala/myPackage/md_streaming.scala:138: overloaded method value getTableEnvironment with alternatives:
[error]   (executionEnvironment: org.apache.flink.streaming.api.scala.StreamExecutionEnvironment)org.apache.flink.table.api.scala.StreamTableEnvironment <and>
[error]   (executionEnvironment: org.apache.flink.streaming.api.environment.StreamExecutionEnvironment)org.apache.flink.table.api.java.StreamTableEnvironment <and>
[error]   (executionEnvironment: org.apache.flink.api.scala.ExecutionEnvironment)org.apache.flink.table.api.scala.BatchTableEnvironment <and>
[error]   (executionEnvironment: org.apache.flink.api.java.ExecutionEnvironment)org.apache.flink.table.api.java.BatchTableEnvironment
[error]  cannot be applied to (org.apache.flink.streaming.api.datastream.DataStreamSource[String])
[error]   val tableEnv = TableEnvironment.getTableEnvironment(dataStream)
[error]                                   ^
[error] one error found
[error] (compile:compileIncremental) Compilation failed
[error] Total time: 3 s, completed Aug 1, 2018 11:02:33 PM
Completed compiling

which is really strange

On Wed, 1 Aug 2018 at 13:42, Fabian Hueske <[hidden email]> wrote:

Hi I think you are mixing Java and Scala dependencies.

org.apache.flink.streaming.api.datastream.DataStream is the DataStream of the Java DataStream API.

You should use the DataStream of the Scala DataStream API.

Best, Fabian

2018-08-01 14:01 GMT+02:00 Mich Talebzadeh <[hidden email]>:

Hi,

I believed I tried Hequn's suggestion and tried again

import org.apache.flink.table.api.Table
import org.apache.flink.table.api.TableEnvironment
import org.apache.flink.table.api.scala._

Unfortunately I am still getting the same error!

[info] Compiling 1 Scala source to /home/hduser/dba/bin/flink/md_streaming/target/scala-2.11/classes...
[error] /home/hduser/dba/bin/flink/md_streaming/src/main/scala/myPackage/md_streaming.scala:151: overloaded method value fromDataStream with alternatives:
[error]   [T](dataStream: org.apache.flink.streaming.api.datastream.DataStream[T], fields: String)org.apache.flink.table.api.Table <and>
[error]   [T](dataStream: org.apache.flink.streaming.api.datastream.DataStream[T])org.apache.flink.table.api.Table
[error]  cannot be applied to (org.apache.flink.streaming.api.datastream.DataStreamSource[String], Symbol, Symbol, Symbol, Symbol)
[error]   val table1: Table = tableEnv.fromDataStream(dataStream, 'key, 'ticker, 'timeissued, 'price)
[error]                                ^
[error] one error found
[error] (compile:compileIncremental) Compilation failed
[error] Total time: 3 s, completed Aug 1, 2018 12:59:44 PM
Completed compiling

On Wed, 1 Aug 2018 at 10:03, Timo Walther <[hidden email]> wrote:

If these two imports are the only imports that you added, then you did not follow Hequn's advice or the link that I sent you.

You need to add the underscore imports to let Scala do its magic.

Timo


Am 01.08.18 um 10:28 schrieb Mich Talebzadeh:

Hi Timo,

These are my two flink table related imports

import org.apache.flink.table.api.Table
import org.apache.flink.table.api.TableEnvironment

And these are my dependencies building with SBT

libraryDependencies += "org.apache.hadoop" % "hadoop-core" % "1.2.1"
libraryDependencies += "org.apache.hbase" % "hbase" % "1.2.6"
libraryDependencies += "org.apache.hbase" % "hbase-client" % "1.2.6"
libraryDependencies += "org.apache.hbase" % "hbase-common" % "1.2.6"
libraryDependencies += "org.apache.hbase" % "hbase-server" % "1.2.6"

libraryDependencies += "org.apache.flink" %% "flink-connector-kafka-0.11" % "1.5.0"
libraryDependencies += "org.apache.flink" %% "flink-connector-kafka-base" % "1.5.0"
libraryDependencies += "org.apache.flink" %% "flink-scala" % "1.5.0"
libraryDependencies += "org.apache.kafka" % "kafka-clients" % "0.11.0.0"
libraryDependencies += "org.apache.flink" %% "flink-streaming-java" % "1.5.0" % "provided"
libraryDependencies += "org.apache.flink" %% "flink-table" % "1.5.0" % "provided"
libraryDependencies += "org.apache.kafka" %% "kafka" % "0.11.0.0"

There appears to be conflict somewhere that cause this error

[info] Compiling 1 Scala source to /home/hduser/dba/bin/flink/md_streaming/target/scala-2.11/classes...
[error] /home/hduser/dba/bin/flink/md_streaming/src/main/scala/myPackage/md_streaming.scala:152: overloaded method value fromDataStream with alternatives:
[error]   [T](dataStream: org.apache.flink.streaming.api.datastream.DataStream[T], fields: String)org.apache.flink.table.api.Table <and>
[error]   [T](dataStream: org.apache.flink.streaming.api.datastream.DataStream[T])org.apache.flink.table.api.Table
[error]  cannot be applied to (org.apache.flink.streaming.api.datastream.DataStreamSource[String], Symbol, Symbol, Symbol, Symbol)
[error]   val table1: Table = tableEnv.fromDataStream(dataStream, 'key, 'ticker, 'timeissued, 'price)
[error]                                ^
[error] one error found
[error] (compile:compileIncremental) Compilation failed

Thanks

On Wed, 1 Aug 2018 at 09:17, Timo Walther <[hidden email]> wrote:

Hi Mich,

I would check you imports again [1]. This is a pure compiler issue that is unrelated to your actual data stream. Also check your project dependencies.

Regards,
Timo

[1] https://ci.apache.org/projects/flink/flink-docs-master/dev/table/common.html#implicit-conversion-for-scala

Am 01.08.18 um 09:30 schrieb Mich Talebzadeh:

Hi both,

I added the import as Hequn suggested.

My stream is very simple and consists of 4 values separated by "," as below 

05521df6-4ccf-4b2f-b874-eb27d461b305,IBM,2018-07-30T19:51:50,190.48

So this is what I have been trying to do

Code

    val dataStream =  streamExecEnv
       .addSource(new FlinkKafkaConsumer011[String](topicsValue, new SimpleStringSchema(), properties))
 //
 //
  val tableEnv = TableEnvironment.getTableEnvironment(streamExecEnv)
  val table1: Table = tableEnv.fromDataStream(dataStream, 'key, 'ticker, 'timeissued, 'price)

note those four columns in Table1 definition

And this is the error being thrown

[info] Compiling 1 Scala source to /home/hduser/dba/bin/flink/md_streaming/target/scala-2.11/classes...
[error] /home/hduser/dba/bin/flink/md_streaming/src/main/scala/myPackage/md_streaming.scala:152: overloaded method value fromDataStream with alternatives:
[error]   [T](dataStream: org.apache.flink.streaming.api.datastream.DataStream[T], fields: String)org.apache.flink.table.api.Table <and>
[error]   [T](dataStream: org.apache.flink.streaming.api.datastream.DataStream[T])org.apache.flink.table.api.Table
[error]  cannot be applied to (org.apache.flink.streaming.api.datastream.DataStreamSource[String], Symbol, Symbol, Symbol, Symbol)
[error]   val table1: Table = tableEnv.fromDataStream(dataStream, 'key, 'ticker, 'timeissued, 'price)
[error]                                ^
[error] one error found
[error] (compile:compileIncremental) Compilation failed

I suspect dataStream may not be compatible with this operation?

Regards,

On Wed, 1 Aug 2018 at 04:51, Hequn Cheng <[hidden email]> wrote:

Hi, Mich

You can try adding "import org.apache.flink.table.api.scala._", so that the Symbol can be recognized as an Expression.

Best, Hequn 

On Wed, Aug 1, 2018 at 6:16 AM, Mich Talebzadeh <[hidden email]> wrote:

Hi,

I am following this example 

https://ci.apache.org/projects/flink/flink-docs-release-1.5/dev/table/common.html#integration-with-datastream-and-dataset-api

This is my dataStream which is built on a Kafka topic

   //
    //Create a Kafka consumer
    //
    val dataStream =  streamExecEnv
       .addSource(new FlinkKafkaConsumer011[String](topicsValue, new SimpleStringSchema(), properties))
 //
 //
  val tableEnv = TableEnvironment.getTableEnvironment(streamExecEnv)
  val table1: Table = tableEnv.fromDataStream(dataStream, 'key, 'ticker, 'timeissued, 'price)

While compiling it throws this error

[error] /home/hduser/dba/bin/flink/md_streaming/src/main/scala/myPackage/md_streaming.scala:169: overloaded method value fromDataStream with alternatives:
[error]   [T](dataStream: org.apache.flink.streaming.api.datastream.DataStream[T], fields: String)org.apache.flink.table.api.Table <and>
[error]   [T](dataStream: org.apache.flink.streaming.api.datastream.DataStream[T])org.apache.flink.table.api.Table
[error]  cannot be applied to (org.apache.flink.streaming.api.datastream.DataStreamSource[String], Symbol, Symbol, Symbol, Symbol)
[error]   val table1: Table = tableEnv.fromDataStream(dataStream, 'key, 'ticker, 'timeissued, 'price)
[error]                                ^
[error] one error found
[error] (compile:compileIncremental) Compilation failed

The topic is very simple, it is comma separated prices. I tried mapFunction and flatMap but neither worked! 

Thanks,