Huang Xingbo created FLINK-20569:
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Summary: testKafkaSourceSinkWithMetadata hangs
Key: FLINK-20569
URL: https://issues.apache.org/jira/browse/FLINK-20569
Project: Flink
Issue Type: Bug
Components: Connectors / Kafka, Table SQL / Ecosystem
Affects Versions: 1.12.0, 1.13.0
Reporter: Huang Xingbo
[https://dev.azure.com/apache-flink/apache-flink/_build/results?buildId=10781&view=logs&j=ce8f3cc3-c1ea-5281-f5eb-df9ebd24947f&t=f266c805-9429-58ed-2f9e-482e7b82f58b]
{code:java}
2020-12-10T23:10:46.7788275Z Test testKafkaSourceSinkWithMetadata[legacy =
false, format =
csv](org.apache.flink.streaming.connectors.kafka.table.KafkaTableITCase) is
running.
2020-12-10T23:10:46.7789360Z
--------------------------------------------------------------------------------
2020-12-10T23:10:46.7790602Z 23:10:46,776 [ main] INFO
org.apache.flink.streaming.connectors.kafka.KafkaTestEnvironmentImpl [] -
Creating topic metadata_topic_csv
2020-12-10T23:10:47.1145296Z 23:10:47,112 [ main] WARN
org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer [] - Property
[transaction.timeout.ms] not specified. Setting it to 3600000 ms
2020-12-10T23:10:47.1683896Z 23:10:47,166 [Sink:
Sink(table=[default_catalog.default_database.kafka], fields=[physical_1,
physical_2, physical_3, headers, timestamp]) (1/1)#0] WARN
org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer [] - Using
AT_LEAST_ONCE semantic, but checkpointing is not enabled. Switching to NONE
semantic.
2020-12-10T23:10:47.2087733Z 23:10:47,206 [Sink:
Sink(table=[default_catalog.default_database.kafka], fields=[physical_1,
physical_2, physical_3, headers, timestamp]) (1/1)#0] INFO
org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer [] - Starting
FlinkKafkaInternalProducer (1/1) to produce into default topic
metadata_topic_csv
2020-12-10T23:10:47.5157133Z 23:10:47,513 [Source:
TableSourceScan(table=[[default_catalog, default_database, kafka]],
fields=[physical_1, physical_2, physical_3, topic, partition, headers,
leader-epoch, timestamp, timestamp-type]) -> Calc(select=[physical_1,
physical_2, CAST(timestamp-type) AS timestamp-type, CAST(timestamp) AS
timestamp, leader-epoch, CAST(headers) AS headers, CAST(partition) AS
partition, CAST(topic) AS topic, physical_3]) -> SinkConversionToTuple2 ->
Sink: Select table sink (1/1)#0] INFO
org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumerBase [] -
Consumer subtask 0 has no restore state.
2020-12-10T23:10:47.5233388Z 23:10:47,521 [Source:
TableSourceScan(table=[[default_catalog, default_database, kafka]],
fields=[physical_1, physical_2, physical_3, topic, partition, headers,
leader-epoch, timestamp, timestamp-type]) -> Calc(select=[physical_1,
physical_2, CAST(timestamp-type) AS timestamp-type, CAST(timestamp) AS
timestamp, leader-epoch, CAST(headers) AS headers, CAST(partition) AS
partition, CAST(topic) AS topic, physical_3]) -> SinkConversionToTuple2 ->
Sink: Select table sink (1/1)#0] INFO
org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumerBase [] -
Consumer subtask 0 will start reading the following 1 partitions from the
earliest offsets: [KafkaTopicPartition{topic='metadata_topic_csv', partition=0}]
2020-12-10T23:10:47.5387239Z 23:10:47,537 [Legacy Source Thread - Source:
TableSourceScan(table=[[default_catalog, default_database, kafka]],
fields=[physical_1, physical_2, physical_3, topic, partition, headers,
leader-epoch, timestamp, timestamp-type]) -> Calc(select=[physical_1,
physical_2, CAST(timestamp-type) AS timestamp-type, CAST(timestamp) AS
timestamp, leader-epoch, CAST(headers) AS headers, CAST(partition) AS
partition, CAST(topic) AS topic, physical_3]) -> SinkConversionToTuple2 ->
Sink: Select table sink (1/1)#0] INFO
org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumerBase [] -
Consumer subtask 0 creating fetcher with offsets
{KafkaTopicPartition{topic='metadata_topic_csv', partition=0}=-915623761775}.
2020-12-11T02:34:02.6860452Z ##[error]The operation was canceled.
{code}
This test started at 2020-12-10T23:10:46.7788275Z and has not been finished at
2020-12-11T02:34:02.6860452Z
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