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Posted to dev@flink.apache.org by "gkgkgk (Jira)" <ji...@apache.org> on 2020/02/06 16:21:00 UTC
[jira] [Created] (FLINK-15943) Rowtime field name cannot be the
same as the json field
gkgkgk created FLINK-15943:
------------------------------
Summary: Rowtime field name cannot be the same as the json field
Key: FLINK-15943
URL: https://issues.apache.org/jira/browse/FLINK-15943
Project: Flink
Issue Type: Bug
Components: Table SQL / API, Table SQL / Planner
Affects Versions: 1.9.0
Reporter: gkgkgk
Run the following sql:
-- sql start
--source
CREATE TABLE dwd_user_log (
id VARCHAR,
ctime TIMESTAMP,
sessionId VARCHAR,
pageId VARCHAR,
eventId VARCHAR,
deviceId Decimal
) 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' = 'node01:2181',
'connector.properties.1.key' = 'bootstrap.servers',
'connector.properties.1.value' = 'node01:9092',
'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": "string"
},
"ctime": {
"type": "string",
"format": "date-time"
},
"pageId": {
"type": "string"
},
"eventId": {
"type": "string"
},
"sessionId": {
"type": "string"
},
"deviceId": {
"type": "number"
}
}
}',
'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'
);
-- sink
-- sink for pv
CREATE TABLE dws_pv (
windowStart TIMESTAMP,
windowEnd TIMESTAMP,
pageId 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' = 'node01:2181',
'connector.properties.1.key' = 'bootstrap.servers',
'connector.properties.1.value' = 'node01:9092',
'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,
COUNT(deviceId) AS viewCount
FROM dwd_user_log
GROUP BY TUMBLE(ctime, INTERVAL '20' SECOND),pageId;
-- sql end
And hit the following error:
{code:java}
//Exception in thread "main" org.apache.flink.table.api.ValidationException: Field 'ctime' could not be resolved by the field mapping.Exception in thread "main" org.apache.flink.table.api.ValidationException: Field 'ctime' could not be resolved by the field mapping. at org.apache.flink.table.planner.sources.TableSourceUtil$.org$apache$flink$table$planner$sources$TableSourceUtil$$resolveInputField(TableSourceUtil.scala:357) at org.apache.flink.table.planner.sources.TableSourceUtil$$anonfun$org$apache$flink$table$planner$sources$TableSourceUtil$$resolveInputFields$1.apply(TableSourceUtil.scala:388) at org.apache.flink.table.planner.sources.TableSourceUtil$$anonfun$org$apache$flink$table$planner$sources$TableSourceUtil$$resolveInputFields$1.apply(TableSourceUtil.scala:388) at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234) at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234) at scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33) at scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:186) at scala.collection.TraversableLike$class.map(TraversableLike.scala:234) at scala.collection.mutable.ArrayOps$ofRef.map(ArrayOps.scala:186) at org.apache.flink.table.planner.sources.TableSourceUtil$.org$apache$flink$table$planner$sources$TableSourceUtil$$resolveInputFields(TableSourceUtil.scala:388) at org.apache.flink.table.planner.sources.TableSourceUtil$$anonfun$getRowtimeExtractionExpression$1.apply(TableSourceUtil.scala:275) at org.apache.flink.table.planner.sources.TableSourceUtil$$anonfun$getRowtimeExtractionExpression$1.apply(TableSourceUtil.scala:270) at scala.Option.map(Option.scala:146) at org.apache.flink.table.planner.sources.TableSourceUtil$.getRowtimeExtractionExpression(TableSourceUtil.scala:270) at org.apache.flink.table.planner.plan.nodes.physical.stream.StreamExecTableSourceScan.translateToPlanInternal(StreamExecTableSourceScan.scala:117) at org.apache.flink.table.planner.plan.nodes.physical.stream.StreamExecTableSourceScan.translateToPlanInternal(StreamExecTableSourceScan.scala:55) at org.apache.flink.table.planner.plan.nodes.exec.ExecNode$class.translateToPlan(ExecNode.scala:54
{code}
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