I suspect there are some inconsistency in the nullability of the whole record
field, can you compare the 2 schema and see the diff ? For a table, you can get
the TableSchema first and print it out.
Best,
Danny Chan
在 2020年7月16日 +0800 AM10:56，Leonard Xu <xbjt...@gmail.com>，写道：
> Hi, Jim
>
> Could you post error message in text that contains the entire schema of query
> and sink? I doubt there are some fields type were mismatched.
>
> Best,
> Leonard Xu
>
> > 在 2020年7月16日，10:29，Jim Chen <chenshuai19950...@gmail.com> 写道：
> >
> > 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:
> > <image.png>
> >
> > 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" +
> > ")";
> >
> > 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" +
> > ")";
> >
> >
>
