codope commented on issue #3280:
URL: https://github.com/apache/hudi/issues/3280#issuecomment-892762965
@liujinhui1994 I tried to reproduce this locally but for me the streaming
ran fine. My setup is Spark 2.4.7, Hadoop 2.7.3 and Hive 2.3.7. I tried for
both COW and MOR table
```
val query = df.writeStream.queryName("demo").foreachBatch { (batchDF:
DataFrame, _: Long) => {
batchDF.persist()
batchDF.write.format("org.apache.hudi")
.option(TABLE_TYPE_OPT_KEY.key, "COPY_ON_WRITE")
.option(PRECOMBINE_FIELD_OPT_KEY.key, "kafka_timestamp")
.option(RECORDKEY_FIELD_OPT_KEY.key, "kafka_partition_offset")
.option(PARTITIONPATH_FIELD_OPT_KEY.key, "partition_date")
.option(TABLE_NAME_OPT_KEY.key, "copy_on_write_table")
.option("hoodie.table.name", "copy_on_write_table")
.option(HIVE_SYNC_ENABLED_OPT_KEY.key, true)
.option(HIVE_STYLE_PARTITIONING_OPT_KEY.key, true)
.mode(SaveMode.Append)
.save("/tmp/sparkHudi/COPY_ON_WRITE")
batchDF.write.format("org.apache.hudi")
.option(TABLE_TYPE_OPT_KEY.key, "MERGE_ON_READ")
.option(TABLE_TYPE_OPT_KEY.key, "COPY_ON_WRITE")
.option(PRECOMBINE_FIELD_OPT_KEY.key, "kafka_timestamp")
.option(RECORDKEY_FIELD_OPT_KEY.key, "kafka_partition_offset")
.option(PARTITIONPATH_FIELD_OPT_KEY.key, "partition_date")
.option(TABLE_NAME_OPT_KEY.key, "merge_on_read_table")
.option("hoodie.table.name", "merge_on_read_table")
.option(HIVE_SYNC_ENABLED_OPT_KEY.key, true)
.option(HIVE_STYLE_PARTITIONING_OPT_KEY.key, true)
.mode(SaveMode.Append)
.save("/tmp/sparkHudi/MERGE_ON_READ")
batchDF.unpersist()
}}.option("checkpointLocation", "/tmp/sparkHudi/checkpoint/").start()
```
Could you try again with the latest master?
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