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" +
> ")";
>
>
