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Posted to dev@hive.apache.org by "Steve Carlin (Jira)" <ji...@apache.org> on 2022/10/07 23:04:00 UTC
[jira] [Created] (HIVE-26612) Hive cannot read parquet files with int64 (TIMESTAMP_MILLIS)
Steve Carlin created HIVE-26612:
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Summary: Hive cannot read parquet files with int64 (TIMESTAMP_MILLIS)
Key: HIVE-26612
URL: https://issues.apache.org/jira/browse/HIVE-26612
Project: Hive
Issue Type: Bug
Components: Database/Schema
Reporter: Steve Carlin
If a parquet file has a Type of "int64 eventtime (TIMESTAMP(MILLIS,true))", the following error is produced:
exec.Task: Failed with exception java.io.IOException:org.apache.parquet.io.ParquetDecodingException: Can not read value at 1 in block 0 in file file:/home/steve/upstream/hive/itests/qtest/target/tmp/parquet_format_ts_as_bigint/part-00000/timestamp_as_bigint.parquet
java.io.IOException: org.apache.parquet.io.ParquetDecodingException: Can not read value at 1 in block 0 in file file:/home/steve/upstream/hive/itests/qtest/target/tmp/parquet_format_ts_as_bigint/part-00000/timestamp_as_bigint.parquet
at org.apache.hadoop.hive.ql.exec.FetchOperator.getNextRow(FetchOperator.java:624)
at org.apache.hadoop.hive.ql.exec.FetchOperator.pushRow(FetchOperator.java:531)
at org.apache.hadoop.hive.ql.exec.FetchTask.executeInner(FetchTask.java:197)
at org.apache.hadoop.hive.ql.exec.FetchTask.execute(FetchTask.java:98)
The parquet file can be created with the following steps (through spark):
spark.conf.set("spark.sql.parquet.outputTimestampType", "TIMESTAMP_MILLIS")
spark.conf.set("spark.sql.legacy.parquet.int96RebaseModeInWrite", "LEGACY")
spark.conf.set("spark.sql.legacy.parquet.datetimeRebaseModeInWrite", "LEGACY")
spark.conf.set("spark.sql.legacy.parquet.int96RebaseModeInRead", "LEGACY")
spark.conf.set("spark.sql.legacy.parquet.datetimeRebaseModeInRead", "LEGACY")
[1]
val df = Seq(
(1, Timestamp.valueOf("2014-01-01 23:00:01")),
(1, Timestamp.valueOf("2014-11-30 12:40:32")),
(2, Timestamp.valueOf("2016-12-29 09:54:00")),
(2, Timestamp.valueOf("2016-05-09 10:12:43"))
).toDF("typeid","eventtime")
[2]
[root@c4839-node3 test_parquet2]# parquet-tools schema part-00001-6c90b794-90b9-4cc0-afc5-2e49a4e96bad-c000.snappy.parquet
message spark_schema {
required int32 typeid;
optional int64 eventtime (TIMESTAMP(MILLIS,true));
}
[3]
[root@c4839-node3 test_parquet1]# parquet-tools schema part-00001-cb1aeebb-ec87-4273-82ec-911c4fb605b6-c000.snappy.parquet
message spark_schema {
required int32 typeid;
optional int96 eventtime;
}
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