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Posted to issues@hive.apache.org by "Stamatis Zampetakis (Jira)" <ji...@apache.org> on 2022/10/21 09:51:00 UTC
[jira] [Commented] (HIVE-26612) INT64 Parquet timestamps cannot be read into BIGINT Hive type
[ https://issues.apache.org/jira/browse/HIVE-26612?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17622161#comment-17622161 ]
Stamatis Zampetakis commented on HIVE-26612:
--------------------------------------------
I changed the summary to reflect exactly what's the actual problem here. HIVE-23345, claims to have fixed the exact same problem but that's not true. HIVE-23345, was sufficient to fix the conversion of INT96 Parquet timestamp to BIGINT but not for INT64.
> INT64 Parquet timestamps cannot be read into BIGINT Hive type
> -------------------------------------------------------------
>
> Key: HIVE-26612
> URL: https://issues.apache.org/jira/browse/HIVE-26612
> Project: Hive
> Issue Type: Bug
> Components: Database/Schema
> Reporter: Steve Carlin
> Priority: Major
> Labels: pull-request-available
> Time Spent: 1h 10m
> Remaining Estimate: 0h
>
> If a parquet file has a Type of "int64 eventtime (TIMESTAMP(MILLIS,true))", the following error is produced:
> {noformat}
> java.lang.RuntimeException: java.io.IOException: org.apache.parquet.io.ParquetDecodingException: Can not read value at 1 in block 0 in file file:/xxxx/hive/itests/qtest/target/tmp/parquet_format_ts_as_bigint/part-00000/timestamp_as_bigint.parquet
> at org.apache.hadoop.hive.ql.exec.FetchTask.executeInner(FetchTask.java:213)
> at org.apache.hadoop.hive.ql.exec.FetchTask.execute(FetchTask.java:98)
> at org.apache.hadoop.hive.ql.Driver.runInternal(Driver.java:212)
> at org.apache.hadoop.hive.ql.Driver.run(Driver.java:154)
> at org.apache.hadoop.hive.ql.Driver.run(Driver.java:149)
> Caused by: java.io.IOException: org.apache.parquet.io.ParquetDecodingException: Can not read value at 1 in block 0 in file file:/xxxx/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)
> ... 55 more
> Caused by: org.apache.parquet.io.ParquetDecodingException: Can not read value at 1 in block 0 in file file:/home/stamatis/Projects/Apache/hive/itests/qtest/target/tmp/parquet_format_ts_as_bigint/part-00000/timestamp_as_bigint.parquet
> at org.apache.parquet.hadoop.InternalParquetRecordReader.nextKeyValue(InternalParquetRecordReader.java:255)
> at org.apache.parquet.hadoop.ParquetRecordReader.nextKeyValue(ParquetRecordReader.java:207)
> at org.apache.hadoop.hive.ql.io.parquet.read.ParquetRecordReaderWrapper.<init>(ParquetRecordReaderWrapper.java:87)
> at org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat.getRecordReader(MapredParquetInputFormat.java:89)
> at org.apache.hadoop.hive.ql.exec.FetchOperator$FetchInputFormatSplit.getRecordReader(FetchOperator.java:771)
> at org.apache.hadoop.hive.ql.exec.FetchOperator.getRecordReader(FetchOperator.java:335)
> at org.apache.hadoop.hive.ql.exec.FetchOperator.getNextRow(FetchOperator.java:562)
> ... 57 more
> Caused by: java.lang.UnsupportedOperationException: org.apache.hadoop.hive.ql.io.parquet.convert.ETypeConverter$10$1
> at org.apache.parquet.io.api.PrimitiveConverter.addLong(PrimitiveConverter.java:105)
> at org.apache.parquet.column.impl.ColumnReaderBase$2$4.writeValue(ColumnReaderBase.java:301)
> at org.apache.parquet.column.impl.ColumnReaderBase.writeCurrentValueToConverter(ColumnReaderBase.java:410)
> at org.apache.parquet.column.impl.ColumnReaderImpl.writeCurrentValueToConverter(ColumnReaderImpl.java:30)
> at org.apache.parquet.io.RecordReaderImplementation.read(RecordReaderImplementation.java:406)
> at org.apache.parquet.hadoop.InternalParquetRecordReader.nextKeyValue(InternalParquetRecordReader.java:230)
> ... 63 more
> {noformat}
> 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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