谢波 created FLINK-20463:
--------------------------
Summary: flink-1.11.2 -sql cannot ignore exception record
Key: FLINK-20463
URL: https://issues.apache.org/jira/browse/FLINK-20463
Project: Flink
Issue Type: Bug
Components: Table SQL / Runtime
Affects Versions: 1.11.2
Environment: <flink.version>1.11.2</flink.version>
<scala.binary.version>2.11</scala.binary.version>
Reporter: 谢波
can Flink SQL provide an option to ignore exception record？
I have a table that maps kafka data in json format.
When parsing the exception data, an exception is thrown, but the data is valid
JSON, not a valid record.
{color:#FF0000}exception data：{"SHEET":[""]}{color}
{color:#FF0000}my table：{color}
CREATE TABLE offline
(
SHEET ROW (
HEADER MAP < STRING, STRING >,
ITEM ROW (
AMOUNT STRING,
COST STRING,
GOODSID STRING,
SALEVALUE STRING,
SAP_RTMATNR STRING,
SAP_RTPLU STRING,
SERIALID STRING,
SHEETID STRING
) ARRAY,
ITEM5 MAP < STRING, STRING > ARRAY,
ITEM1 MAP < STRING, STRING > ARRAY,
TENDER MAP < STRING, STRING > ARRAY
) ARRAY
)
WITH (
'connector' = 'kafka',
'properties.bootstrap.servers' = 'xxx:9092',
'properties.group.id' = 'realtime.sales.offline.group',
'topic' = 'bms133',
'format' = 'json',
{color:#FF0000}'json.ignore-parse-errors' = 'true',{color}
'scan.startup.mode' = 'earliest-offset'
);
{color:#FF0000}exception：{color}
Caused by: java.lang.NullPointerExceptionCaused by:
java.lang.NullPointerException at
org.apache.flink.table.runtime.typeutils.RowDataSerializer.copy(RowDataSerializer.java:116)
at
org.apache.flink.table.runtime.typeutils.RowDataSerializer.copy(RowDataSerializer.java:50)
at
org.apache.flink.table.runtime.typeutils.ArrayDataSerializer.copyGenericArray(ArrayDataSerializer.java:129)
at
org.apache.flink.table.runtime.typeutils.ArrayDataSerializer.copy(ArrayDataSerializer.java:90)
at
org.apache.flink.table.runtime.typeutils.ArrayDataSerializer.copy(ArrayDataSerializer.java:51)
at
org.apache.flink.table.runtime.typeutils.RowDataSerializer.copyRowData(RowDataSerializer.java:156)
at
org.apache.flink.table.runtime.typeutils.RowDataSerializer.copy(RowDataSerializer.java:123)
at
org.apache.flink.table.runtime.typeutils.RowDataSerializer.copy(RowDataSerializer.java:50)
at
org.apache.flink.streaming.runtime.tasks.OperatorChain$CopyingChainingOutput.pushToOperator(OperatorChain.java:715)
at
org.apache.flink.streaming.runtime.tasks.OperatorChain$CopyingChainingOutput.collect(OperatorChain.java:692)
at
org.apache.flink.streaming.runtime.tasks.OperatorChain$CopyingChainingOutput.collect(OperatorChain.java:672)
at
org.apache.flink.streaming.api.operators.CountingOutput.collect(CountingOutput.java:52)
at
org.apache.flink.streaming.api.operators.CountingOutput.collect(CountingOutput.java:30)
at
org.apache.flink.streaming.api.operators.StreamSourceContexts$NonTimestampContext.collect(StreamSourceContexts.java:104)
at
org.apache.flink.streaming.api.operators.StreamSourceContexts$NonTimestampContext.collectWithTimestamp(StreamSourceContexts.java:111)
at
org.apache.flink.streaming.connectors.kafka.internals.AbstractFetcher.emitRecordsWithTimestamps(AbstractFetcher.java:352)
at
org.apache.flink.streaming.connectors.kafka.internal.KafkaFetcher.partitionConsumerRecordsHandler(KafkaFetcher.java:185)
at
org.apache.flink.streaming.connectors.kafka.internal.KafkaFetcher.runFetchLoop(KafkaFetcher.java:141)
at
org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumerBase.run(FlinkKafkaConsumerBase.java:755)
at
org.apache.flink.streaming.api.operators.StreamSource.run(StreamSource.java:100)
at
org.apache.flink.streaming.api.operators.StreamSource.run(StreamSource.java:63)
at
org.apache.flink.streaming.runtime.tasks.SourceStreamTask$LegacySourceFunctionThread.run(SourceStreamTask.java:213)
--
This message was sent by Atlassian Jira
(v8.3.4#803005)
