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Posted to issues@flink.apache.org by "Zhu Zhu (Jira)" <ji...@apache.org> on 2020/08/10 12:44:00 UTC

[jira] [Updated] (FLINK-16622) Type ARRAY of table field 'id' does not match with the physical type LEGACY('ARRAY', 'ANY<[Ljava.lang.String;, rO0ABXNyAD......>') of the 'id' field of the TableSource return type.

     [ https://issues.apache.org/jira/browse/FLINK-16622?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Zhu Zhu updated FLINK-16622:
----------------------------
    Fix Version/s:     (was: 1.10.2)
                   1.10.3
                   1.12.0

> Type ARRAY<STRING> of table field 'id' does not match with the physical type LEGACY('ARRAY', 'ANY<[Ljava.lang.String;, rO0ABXNyAD......>') of the 'id' field of the TableSource return type.
> --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
>
>                 Key: FLINK-16622
>                 URL: https://issues.apache.org/jira/browse/FLINK-16622
>             Project: Flink
>          Issue Type: Bug
>          Components: Table SQL / API
>    Affects Versions: 1.10.0
>            Reporter: gkgkgk
>            Assignee: Jark Wu
>            Priority: Major
>             Fix For: 1.12.0, 1.11.2, 1.10.3
>
>
> when i define a ARRAY<VARCHAR> field in table schema and define field in 'format.json-schema' like this 
> 'format.json-schema' = '{
>     "type": "object",
>     "properties": {
>       "id": {
>       "type": "array",
>       "items":{"type":"string"}
>       }
>   }'
> there is a error flow this:
> Exception in thread "main" org.apache.flink.table.api.ValidationException: Type ARRAY<STRING> of table field 'id' does not match with the physical type LEGACY('ARRAY', 'ANY<[Ljava.lang.String;, rO0ABXNyADdvc......>') of the 'id' field of the TableSource return type.
> the flow is my ddl:
> --source
> CREATE TABLE dwd_user_log (
>   id ARRAY<VARCHAR>,
>   ctime TIMESTAMP(3),
>   pageId VARCHAR,
>   deviceId VARCHAR,
>   WATERMARK FOR ctime AS ctime - INTERVAL '10' SECOND
> ) WITH (
>   'connector.type' = 'kafka',
>   'connector.version' = 'universal',
>   'connector.topic' = 'dev_dwd_user_log_02',
>   'connector.startup-mode' = 'latest-offset',
>   'connector.properties.0.key' = 'zookeeper.connect',
>   'connector.properties.0.value' = 'node14.example.com:2181',
>   'connector.properties.1.key' = 'bootstrap.servers',
>   'connector.properties.1.value' = 'node14.example.com:9092',
>   'connector.properties.2.key' = 'group.id',
>   'connector.properties.2.value' = 'dev-group',
>   'update-mode' = 'append',
>   'format.type' = 'json',
>   -- 'format.derive-schema' = 'true'
>   'format.json-schema' = '{
>     "type": "object",
>     "properties": {
>       "id": {
>       "type": "array",
>       "items":{"type":"string"}
>       },
>       "ctime": {
>       "type": "string",
>       "format": "date-time"
>       },
>       "pageId": {
>       "type": "string"
>       },
>       "deviceId": {
>       "type": "string"
>       }
>     }
>   }'
>   -- 'schema.1.rowtime.timestamps.type' = 'from-field',
>   -- 'schema.1.rowtime.timestamps.from' = 'ctime',
>   -- 'schema.1.rowtime.watermarks.type' = 'periodic-bounded',
>   -- 'schema.1.rowtime.watermarks.delay' = '10000'
>   -- 'schema.1.from' = 'ctime'
> );  
> -- sink
> -- sink for pv
> CREATE TABLE dws_pv (
> 	windowStart TIMESTAMP(3),
>   windowEnd TIMESTAMP(3),
>   pageId VARCHAR,
>   id ARRAY<VARCHAR>,
>   viewCount BIGINT
> ) WITH (
>   'connector.type' = 'kafka',
>   'connector.version' = 'universal',
>   'connector.topic' = 'dev_dws_pvuv_02',
>   'connector.startup-mode' = 'latest-offset',
>   'connector.properties.0.key' = 'zookeeper.connect',
>   'connector.properties.0.value' = 'node14.example.com:2181',
>   'connector.properties.1.key' = 'bootstrap.servers',
>   'connector.properties.1.value' = 'node14.example.com:9092',
>   'connector.properties.2.key' = 'group.id',
>   'connector.properties.2.value' = 'dev-group',
>   'update-mode' = 'append',
>   'format.type' = 'json',
>   'format.derive-schema' = 'true'
> );
> -- pv
> INSERT INTO dws_pv
> SELECT
>   TUMBLE_START(ctime, INTERVAL '20' SECOND)  AS windowStart,
>   TUMBLE_END(ctime, INTERVAL '20' SECOND)  AS windowEnd,
>   pageId,
>   id,
>   COUNT(deviceId) AS viewCount
> FROM dwd_user_log
> GROUP BY TUMBLE(ctime, INTERVAL '20' SECOND),pageId,id;



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