HELP!!! Flink1.10 sql insert into HBase, error like validateSchemaAndApplyImplicitCast
Posted by Jim Chen on
URL: http://deprecated-apache-flink-user-mailing-list-archive.369.s1.nabble.com/HELP-Flink1-10-sql-insert-into-HBase-error-like-validateSchemaAndApplyImplicitCast-tp36676.html
URL: http://deprecated-apache-flink-user-mailing-list-archive.369.s1.nabble.com/HELP-Flink1-10-sql-insert-into-HBase-error-like-validateSchemaAndApplyImplicitCast-tp36676.html
Hi,
I use flink1.10.1 sql to connect hbase1.4.3. When inset into hbase, report an error like validateSchemaAndApplyImplicitCast. Means that the Query Schema and Sink Schema are inconsistent.
Mainly Row (EXPR$0) in Query Schema, which are all expressions. Sink Schema is Row(device_id). I don't know how to write in sql to be consistent with hbase's sink schema.
I try to write sql like select device_id as rowkey, ROW( device_id as [cannot write as] ) as f1
error message as follow:
sample code like:
HBase sink ddl:
String ddlSource = "CREATE TABLE test_hive_catalog.test_dim.dw_common_mobile_device_user_mapping (\n" +
" rowkey STRING,\n" +
" f1 ROW< \n" +
" device_id STRING,\n" +
" pass_id STRING,\n" +
" first_date STRING,\n" +
" first_channel_id STRING,\n" +
" first_app_version STRING,\n" +
" first_server_time STRING,\n" +
" first_server_hour STRING,\n" +
" first_ip_location STRING,\n" +
" first_login_time STRING,\n" +
" sys_can_uninstall STRING,\n" +
" update_date STRING,\n" +
" server_time BIGINT,\n" +
" last_pass_id STRING,\n" +
" last_channel_id STRING,\n" +
" last_app_version STRING,\n" +
" last_date STRING,\n" +
" os STRING,\n" +
" attribution_channel_id STRING,\n" +
" attribution_first_date STRING,\n" +
" p_product STRING,\n" +
" p_project STRING,\n" +
" p_dt STRING\n" +
" >\n" +
") WITH (\n" +
" 'connector.type' = 'hbase',\n" +
" 'connector.version' = '1.4.3',\n" + // 即使绕过语法编译，换其他版本的hbase，还是有问题，如线上的版本就不行
" 'connector.table-name' = 'dw_common_mobile_device_user_mapping_new',\n" +
" 'connector.zookeeper.quorum' = '"+ zookeeperServers +"',\n" +
" 'connector.zookeeper.znode.parent' = '/hbase143',\n" +
" 'connector.write.buffer-flush.max-size' = '2mb',\n" +
" 'connector.write.buffer-flush.max-rows' = '1000',\n" +
" 'connector.write.buffer-flush.interval' = '2s'\n" +
")";
" rowkey STRING,\n" +
" f1 ROW< \n" +
" device_id STRING,\n" +
" pass_id STRING,\n" +
" first_date STRING,\n" +
" first_channel_id STRING,\n" +
" first_app_version STRING,\n" +
" first_server_time STRING,\n" +
" first_server_hour STRING,\n" +
" first_ip_location STRING,\n" +
" first_login_time STRING,\n" +
" sys_can_uninstall STRING,\n" +
" update_date STRING,\n" +
" server_time BIGINT,\n" +
" last_pass_id STRING,\n" +
" last_channel_id STRING,\n" +
" last_app_version STRING,\n" +
" last_date STRING,\n" +
" os STRING,\n" +
" attribution_channel_id STRING,\n" +
" attribution_first_date STRING,\n" +
" p_product STRING,\n" +
" p_project STRING,\n" +
" p_dt STRING\n" +
" >\n" +
") WITH (\n" +
" 'connector.type' = 'hbase',\n" +
" 'connector.version' = '1.4.3',\n" + // 即使绕过语法编译，换其他版本的hbase，还是有问题，如线上的版本就不行
" 'connector.table-name' = 'dw_common_mobile_device_user_mapping_new',\n" +
" 'connector.zookeeper.quorum' = '"+ zookeeperServers +"',\n" +
" 'connector.zookeeper.znode.parent' = '/hbase143',\n" +
" 'connector.write.buffer-flush.max-size' = '2mb',\n" +
" 'connector.write.buffer-flush.max-rows' = '1000',\n" +
" 'connector.write.buffer-flush.interval' = '2s'\n" +
")";
insert into sql:
String bodyAndLocalSql = "" +
// "insert into test_hive_catalog.test_dim.dw_common_mobile_device_user_mapping " +
"SELECT CAST(rowkey AS STRING) AS rowkey, " +
" ROW(" +
" device_id, pass_id, first_date, first_channel_id, first_app_version, first_server_time, first_server_hour, first_ip_location, first_login_time, sys_can_uninstall, update_date, server_time, last_pass_id, last_channel_id, last_app_version, last_date, os, attribution_channel_id, attribution_first_date, p_product, p_project, p_dt " +
") AS f1" +
" FROM " +
"(" +
" SELECT " +
" MD5(CONCAT_WS('|', kafka.uid, kafka.p_product, kafka.p_project)) AS rowkey, " +
" kafka.uid AS device_id " +
",kafka.pass_id " +
// first_date
",CASE WHEN COALESCE(hbase.server_time, 0) <= kafka.server_time " +
// 新用户
" THEN FROM_UNIXTIME(kafka.server_time, 'yyyy-MM-dd') " +
// 老用户
" ELSE hbase.first_date END AS first_date " +
// first_channel_id
",CASE WHEN COALESCE(hbase.server_time, 0) <= kafka.server_time " +
// 新用户
" THEN kafka.wlb_channel_id" +
// 老用户
" ELSE hbase.first_channel_id END AS first_channel_id " +
// first_app_version
",CASE WHEN COALESCE(hbase.server_time, 0) <= kafka.server_time " +
// 新用户
" THEN kafka.app_version " +
// 老用户
" ELSE hbase.first_app_version END AS first_app_version " +
// first_server_time
",CASE WHEN COALESCE(hbase.server_time, 0) <= kafka.server_time " +
// 新用户
" THEN FROM_UNIXTIME(kafka.server_time, 'yyyy-MM-dd HH:mm:ss') " +
// 老用户
" ELSE hbase.first_server_time END AS first_server_time " +
// first_server_hour
",CASE WHEN COALESCE(hbase.server_time, 0) <= kafka.server_time " +
// 新用户
" THEN FROM_UNIXTIME(kafka.server_time, 'HH') " +
// 老用户
" ELSE hbase.first_server_hour END AS first_server_hour " +
// first_ip_location
",CASE WHEN COALESCE(hbase.server_time, 0) <= kafka.server_time " +
// 新用户
" THEN kafka.ip_location " +
// 老用户
" ELSE hbase.first_ip_location END AS first_ip_location " +
// first_login_time
",CASE WHEN COALESCE(hbase.server_time, 0) <= kafka.server_time " +
// 新用户
" THEN FROM_UNIXTIME(kafka.server_time, 'yyyy-MM-dd HH:mm:ss') " +
// 老用户
" ELSE hbase.first_login_time END AS first_login_time " +
",kafka.sys_can_uninstall " +
// update_date
",CASE WHEN hbase.pass_id = 0 " +
" THEN CAST(FROM_UNIXTIME(kafka.server_time, 'yyyy-MM-dd') AS string) " +
" END AS update_date " + // VARCHAR(2000)
// server_time
",kafka.server_time" +
", kafka.pass_id AS last_pass_id" +
", kafka.wlb_channel_id AS last_channel_id" +
", kafka.app_version AS last_app_version" +
", CAST(FROM_UNIXTIME(kafka.server_time, 'yyyy-MM-dd') AS STRING) AS last_date" + // VARCHAR(2000)
", kafka.os" +
", hbase.attribution_channel_id" +
", hbase.attribution_first_date" +
", kafka.p_product" +
", kafka.p_project" +
", kafka.p_dt" +
" FROM test_hive_catalog.test_ods.test_ods_header AS kafka " +
" FULL JOIN test_hive_catalog.test_dim.dw_common_mobile_device_user_mapping AS hbase " +
" ON kafka.uid = hbase.device_id " + // TODO 这里uid，后面要改成device_id
" WHERE kafka.is_body=1 AND kafka.is_local=1" +
")";
// "insert into test_hive_catalog.test_dim.dw_common_mobile_device_user_mapping " +
"SELECT CAST(rowkey AS STRING) AS rowkey, " +
" ROW(" +
" device_id, pass_id, first_date, first_channel_id, first_app_version, first_server_time, first_server_hour, first_ip_location, first_login_time, sys_can_uninstall, update_date, server_time, last_pass_id, last_channel_id, last_app_version, last_date, os, attribution_channel_id, attribution_first_date, p_product, p_project, p_dt " +
") AS f1" +
" FROM " +
"(" +
" SELECT " +
" MD5(CONCAT_WS('|', kafka.uid, kafka.p_product, kafka.p_project)) AS rowkey, " +
" kafka.uid AS device_id " +
",kafka.pass_id " +
// first_date
",CASE WHEN COALESCE(hbase.server_time, 0) <= kafka.server_time " +
// 新用户
" THEN FROM_UNIXTIME(kafka.server_time, 'yyyy-MM-dd') " +
// 老用户
" ELSE hbase.first_date END AS first_date " +
// first_channel_id
",CASE WHEN COALESCE(hbase.server_time, 0) <= kafka.server_time " +
// 新用户
" THEN kafka.wlb_channel_id" +
// 老用户
" ELSE hbase.first_channel_id END AS first_channel_id " +
// first_app_version
",CASE WHEN COALESCE(hbase.server_time, 0) <= kafka.server_time " +
// 新用户
" THEN kafka.app_version " +
// 老用户
" ELSE hbase.first_app_version END AS first_app_version " +
// first_server_time
",CASE WHEN COALESCE(hbase.server_time, 0) <= kafka.server_time " +
// 新用户
" THEN FROM_UNIXTIME(kafka.server_time, 'yyyy-MM-dd HH:mm:ss') " +
// 老用户
" ELSE hbase.first_server_time END AS first_server_time " +
// first_server_hour
",CASE WHEN COALESCE(hbase.server_time, 0) <= kafka.server_time " +
// 新用户
" THEN FROM_UNIXTIME(kafka.server_time, 'HH') " +
// 老用户
" ELSE hbase.first_server_hour END AS first_server_hour " +
// first_ip_location
",CASE WHEN COALESCE(hbase.server_time, 0) <= kafka.server_time " +
// 新用户
" THEN kafka.ip_location " +
// 老用户
" ELSE hbase.first_ip_location END AS first_ip_location " +
// first_login_time
",CASE WHEN COALESCE(hbase.server_time, 0) <= kafka.server_time " +
// 新用户
" THEN FROM_UNIXTIME(kafka.server_time, 'yyyy-MM-dd HH:mm:ss') " +
// 老用户
" ELSE hbase.first_login_time END AS first_login_time " +
",kafka.sys_can_uninstall " +
// update_date
",CASE WHEN hbase.pass_id = 0 " +
" THEN CAST(FROM_UNIXTIME(kafka.server_time, 'yyyy-MM-dd') AS string) " +
" END AS update_date " + // VARCHAR(2000)
// server_time
",kafka.server_time" +
", kafka.pass_id AS last_pass_id" +
", kafka.wlb_channel_id AS last_channel_id" +
", kafka.app_version AS last_app_version" +
", CAST(FROM_UNIXTIME(kafka.server_time, 'yyyy-MM-dd') AS STRING) AS last_date" + // VARCHAR(2000)
", kafka.os" +
", hbase.attribution_channel_id" +
", hbase.attribution_first_date" +
", kafka.p_product" +
", kafka.p_project" +
", kafka.p_dt" +
" FROM test_hive_catalog.test_ods.test_ods_header AS kafka " +
" FULL JOIN test_hive_catalog.test_dim.dw_common_mobile_device_user_mapping AS hbase " +
" ON kafka.uid = hbase.device_id " + // TODO 这里uid，后面要改成device_id
" WHERE kafka.is_body=1 AND kafka.is_local=1" +
")";
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