Hi,all Flink 1.11的filesystem connector,partition trigger[1]都是使用的默认值,所以分区可以多次提交 现在有这样的场景: 消费kafka数据写入hdfs中,分区字段是 day + hour ,是从事件时间截取出来的,如果数据延迟了,比如现在是19点了,来了17点的数据, 这条数据还能正确的写到17点分区里面吗?还是写到19点分区?还是会被丢弃? 有大佬知道吗,有实际验证过吗 感谢
附上简单sql: CREATE TABLE kafka ( a STRING, b STRING, c BIGINT, process_time BIGINT, e STRING, f STRING, g STRING, h INT, i STRING ) WITH ( 'connector' = 'kafka', 'topic' = 'topic', 'properties.bootstrap.servers' = 'x', 'properties.group.id' = 'test-1', 'scan.startup.mode' = 'latest-offset', 'format' = 'json', 'properties.flink.partition-discovery.interval-millis' = '300000' ); CREATE TABLE filesystem ( `day` STRING, `hour` STRING, a STRING, b STRING, c BIGINT, d BIGINT, e STRING, f STRING, g STRING, h INT, i STRING ) PARTITIONED BY (`day`, `hour`) WITH ( 'connector' = 'filesystem', 'format' = 'parquet', 'path' = 'hdfs://xx', 'parquet.compression'='SNAPPY', 'sink.partition-commit.policy.kind' = 'success-file' ); insert into filesystem select from_unixtime(process_time,'yyyy-MM-dd') as `day`, from_unixtime(process_time,'HH') as `hour`, a, b, c, d, e, f, g, h, i from kafka; [1]https://ci.apache.org/projects/flink/flink-docs-release-1.11/dev/table/connectors/filesystem.html#partition-commit-trigger