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Posted to commits@hudi.apache.org by GitBox <gi...@apache.org> on 2022/09/22 08:03:09 UTC
[GitHub] [hudi] xiarixiaoyao opened a new pull request, #6741: [HUDI-4898] presto/hive respect payload during merge parquet file and logfile when reading mor table
xiarixiaoyao opened a new pull request, #6741:
URL: https://github.com/apache/hudi/pull/6741
… logfile when reading mor table
### Change Logs
_Describe context and summary for this change. Highlight if any code was copied._
### Impact
_Describe any public API or user-facing feature change or any performance impact._
**Risk level: none | low | medium | high**
_Choose one. If medium or high, explain what verification was done to mitigate the risks._
### Contributor's checklist
- [ ] Read through [contributor's guide](https://hudi.apache.org/contribute/how-to-contribute)
- [ ] Change Logs and Impact were stated clearly
- [ ] Adequate tests were added if applicable
- [ ] CI passed
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[GitHub] [hudi] hudi-bot commented on pull request #6741: [HUDI-4898] presto/hive respect payload during merge parquet file and logfile when reading mor table
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on PR #6741:
URL: https://github.com/apache/hudi/pull/6741#issuecomment-1259500700
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## CI report:
* bff3acafde6d8a1bd5574b90ce644ef30acbf0a2 UNKNOWN
* ee6c9571e7c07aef6b27d05af536c4be2a5373cd Azure: [FAILURE](https://dev.azure.com/apache-hudi-ci-org/785b6ef4-2f42-4a89-8f0e-5f0d7039a0cc/_build/results?buildId=11784)
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[GitHub] [hudi] hudi-bot commented on pull request #6741: [HUDI-4898] presto/hive respect payload during merge parquet file and logfile when reading mor table
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on PR #6741:
URL: https://github.com/apache/hudi/pull/6741#issuecomment-1261902592
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[GitHub] [hudi] hudi-bot commented on pull request #6741: [HUDI-4898] presto/hive respect payload during merge parquet file and logfile when reading mor table
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on PR #6741:
URL: https://github.com/apache/hudi/pull/6741#issuecomment-1261634747
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## CI report:
* bff3acafde6d8a1bd5574b90ce644ef30acbf0a2 UNKNOWN
* 983a2d251e7240f8129699c18ca3a8beefecf3ba Azure: [FAILURE](https://dev.azure.com/apache-hudi-ci-org/785b6ef4-2f42-4a89-8f0e-5f0d7039a0cc/_build/results?buildId=11836) Azure: [PENDING](https://dev.azure.com/apache-hudi-ci-org/785b6ef4-2f42-4a89-8f0e-5f0d7039a0cc/_build/results?buildId=11865)
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[GitHub] [hudi] hudi-bot commented on pull request #6741: [HUDI-4898] presto/hive respect payload during merge parquet file and logfile when reading mor table
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on PR #6741:
URL: https://github.com/apache/hudi/pull/6741#issuecomment-1263212297
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[GitHub] [hudi] hudi-bot commented on pull request #6741: [HUDI-4898] presto/hive respect payload during merge parquet file and logfile when reading mor table
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on PR #6741:
URL: https://github.com/apache/hudi/pull/6741#issuecomment-1263834508
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[GitHub] [hudi] hudi-bot commented on pull request #6741: [HUDI-4898] presto/hive respect payload during merge parquet file and logfile when reading mor table
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on PR #6741:
URL: https://github.com/apache/hudi/pull/6741#issuecomment-1264200427
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[GitHub] [hudi] hudi-bot commented on pull request #6741: [HUDI-4898] presto/hive respect payload during merge parquet file and logfile when reading mor table
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on PR #6741:
URL: https://github.com/apache/hudi/pull/6741#issuecomment-1256825808
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[GitHub] [hudi] hudi-bot commented on pull request #6741: [HUDI-4898] presto/hive respect payload during merge parquet file and logfile when reading mor table
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on PR #6741:
URL: https://github.com/apache/hudi/pull/6741#issuecomment-1262064257
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[GitHub] [hudi] hudi-bot commented on pull request #6741: [HUDI-4898] presto/hive respect payload during merge parquet file and logfile when reading mor table
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on PR #6741:
URL: https://github.com/apache/hudi/pull/6741#issuecomment-1272338806
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[GitHub] [hudi] hudi-bot commented on pull request #6741: [HUDI-4898] presto/hive respect payload during merge parquet file and logfile when reading mor table
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on PR #6741:
URL: https://github.com/apache/hudi/pull/6741#issuecomment-1272326567
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[GitHub] [hudi] hudi-bot commented on pull request #6741: [HUDI-4898] presto/hive respect payload during merge parquet file and logfile when reading mor table
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on PR #6741:
URL: https://github.com/apache/hudi/pull/6741#issuecomment-1264254167
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[GitHub] [hudi] hudi-bot commented on pull request #6741: [HUDI-4898] presto/hive respect payload during merge parquet file and logfile when reading mor table
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on PR #6741:
URL: https://github.com/apache/hudi/pull/6741#issuecomment-1254699292
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[GitHub] [hudi] hudi-bot commented on pull request #6741: [HUDI-4898] presto/hive respect payload during merge parquet file and logfile when reading mor table
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on PR #6741:
URL: https://github.com/apache/hudi/pull/6741#issuecomment-1258878661
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[GitHub] [hudi] hudi-bot commented on pull request #6741: [HUDI-4898] presto/hive respect payload during merge parquet file and logfile when reading mor table
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on PR #6741:
URL: https://github.com/apache/hudi/pull/6741#issuecomment-1254693067
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[GitHub] [hudi] hudi-bot commented on pull request #6741: [HUDI-4898] presto/hive respect payload during merge parquet file and logfile when reading mor table
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on PR #6741:
URL: https://github.com/apache/hudi/pull/6741#issuecomment-1255012609
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[GitHub] [hudi] xiarixiaoyao commented on pull request #6741: [HUDI-4898] presto/hive respect payload during merge parquet file and logfile when reading mor table
Posted by GitBox <gi...@apache.org>.
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[GitHub] [hudi] hudi-bot commented on pull request #6741: [HUDI-4898] presto/hive respect payload during merge parquet file and logfile when reading mor table
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on PR #6741:
URL: https://github.com/apache/hudi/pull/6741#issuecomment-1263369211
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[GitHub] [hudi] hudi-bot commented on pull request #6741: [HUDI-4898] presto/hive respect payload during merge parquet file and logfile when reading mor table
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on PR #6741:
URL: https://github.com/apache/hudi/pull/6741#issuecomment-1272283853
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[GitHub] [hudi] hudi-bot commented on pull request #6741: [HUDI-4898] presto/hive respect payload during merge parquet file and logfile when reading mor table
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on PR #6741:
URL: https://github.com/apache/hudi/pull/6741#issuecomment-1272364193
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[GitHub] [hudi] xiarixiaoyao commented on pull request #6741: [HUDI-4898] presto/hive respect payload during merge parquet file and logfile when reading mor table
Posted by GitBox <gi...@apache.org>.
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URL: https://github.com/apache/hudi/pull/6741#issuecomment-1272425949
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[GitHub] [hudi] hudi-bot commented on pull request #6741: [HUDI-4898] presto/hive respect payload during merge parquet file and logfile when reading mor table
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on PR #6741:
URL: https://github.com/apache/hudi/pull/6741#issuecomment-1272446498
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[GitHub] [hudi] hudi-bot commented on pull request #6741: [HUDI-4898] presto/hive respect payload during merge parquet file and logfile when reading mor table
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on PR #6741:
URL: https://github.com/apache/hudi/pull/6741#issuecomment-1301737314
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[GitHub] [hudi] hudi-bot commented on pull request #6741: [HUDI-4898] presto/hive respect payload during merge parquet file and logfile when reading mor table
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[GitHub] [hudi] hudi-bot commented on pull request #6741: [HUDI-4898] presto/hive respect payload during merge parquet file and logfile when reading mor table
Posted by GitBox <gi...@apache.org>.
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[GitHub] [hudi] hudi-bot commented on pull request #6741: [HUDI-4898] presto/hive respect payload during merge parquet file and logfile when reading mor table
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[GitHub] [hudi] hudi-bot commented on pull request #6741: [HUDI-4898] presto/hive respect payload during merge parquet file and logfile when reading mor table
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on PR #6741:
URL: https://github.com/apache/hudi/pull/6741#issuecomment-1263511807
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[GitHub] [hudi] hudi-bot commented on pull request #6741: [HUDI-4898] presto/hive respect payload during merge parquet file and logfile when reading mor table
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on PR #6741:
URL: https://github.com/apache/hudi/pull/6741#issuecomment-1261354477
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[GitHub] [hudi] hudi-bot commented on pull request #6741: [HUDI-4898] presto/hive respect payload during merge parquet file and logfile when reading mor table
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on PR #6741:
URL: https://github.com/apache/hudi/pull/6741#issuecomment-1261726460
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[GitHub] [hudi] xiarixiaoyao commented on a diff in pull request #6741: [HUDI-4898] presto/hive respect payload during merge parquet file and logfile when reading mor table
Posted by GitBox <gi...@apache.org>.
xiarixiaoyao commented on code in PR #6741:
URL: https://github.com/apache/hudi/pull/6741#discussion_r983176750
##########
hudi-hadoop-mr/src/main/java/org/apache/hudi/hadoop/realtime/AbstractRealtimeRecordReader.java:
##########
@@ -95,7 +97,7 @@ private boolean usesCustomPayload(HoodieTableMetaClient metaClient) {
private void prepareHiveAvroSerializer() {
try {
- List<String> hiveInternalColumns = Arrays.asList(new String[] {"BLOCK__OFFSET__INSIDE__FILE", "INPUT__FILE__NAME", "ROW__ID"});
+ Set<String> hiveInternalColumns = new HashSet(Arrays.asList(new String[] {"BLOCK__OFFSET__INSIDE__FILE", "INPUT__FILE__NAME", "ROW__ID"}));
Review Comment:
Thank you very much for your reminder， i think use writeSchema to filter virtualcolumns is more reasonable。 update the code
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[GitHub] [hudi] hudi-bot commented on pull request #6741: [HUDI-4898] presto/hive respect payload during merge parquet file and logfile when reading mor table
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on PR #6741:
URL: https://github.com/apache/hudi/pull/6741#issuecomment-1260291280
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[GitHub] [hudi] hudi-bot commented on pull request #6741: [HUDI-4898] presto/hive respect payload during merge parquet file and logfile when reading mor table
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on PR #6741:
URL: https://github.com/apache/hudi/pull/6741#issuecomment-1263207481
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[GitHub] [hudi] hudi-bot commented on pull request #6741: [HUDI-4898] presto/hive respect payload during merge parquet file and logfile when reading mor table
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on PR #6741:
URL: https://github.com/apache/hudi/pull/6741#issuecomment-1263358643
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[GitHub] [hudi] hudi-bot commented on pull request #6741: [HUDI-4898] presto/hive respect payload during merge parquet file and logfile when reading mor table
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on PR #6741:
URL: https://github.com/apache/hudi/pull/6741#issuecomment-1264201920
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[GitHub] [hudi] hudi-bot commented on pull request #6741: [HUDI-4898] presto/hive respect payload during merge parquet file and logfile when reading mor table
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on PR #6741:
URL: https://github.com/apache/hudi/pull/6741#issuecomment-1260719963
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[GitHub] [hudi] hudi-bot commented on pull request #6741: [HUDI-4898] presto/hive respect payload during merge parquet file and logfile when reading mor table
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on PR #6741:
URL: https://github.com/apache/hudi/pull/6741#issuecomment-1301733394
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[GitHub] [hudi] hudi-bot commented on pull request #6741: [HUDI-4898] presto/hive respect payload during merge parquet file and logfile when reading mor table
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on PR #6741:
URL: https://github.com/apache/hudi/pull/6741#issuecomment-1272308653
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[GitHub] [hudi] hudi-bot commented on pull request #6741: [HUDI-4898] presto/hive respect payload during merge parquet file and logfile when reading mor table
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on PR #6741:
URL: https://github.com/apache/hudi/pull/6741#issuecomment-1272310556
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[GitHub] [hudi] hudi-bot commented on pull request #6741: [HUDI-4898] presto/hive respect payload during merge parquet file and logfile when reading mor table
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on PR #6741:
URL: https://github.com/apache/hudi/pull/6741#issuecomment-1272425963
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[GitHub] [hudi] XuQianJin-Stars commented on a diff in pull request #6741: [HUDI-4898] presto/hive respect payload during merge parquet file and logfile when reading mor table
Posted by GitBox <gi...@apache.org>.
XuQianJin-Stars commented on code in PR #6741:
URL: https://github.com/apache/hudi/pull/6741#discussion_r980902587
##########
hudi-hadoop-mr/src/main/java/org/apache/hudi/hadoop/realtime/AbstractRealtimeRecordReader.java:
##########
@@ -80,6 +93,26 @@ private boolean usesCustomPayload(HoodieTableMetaClient metaClient) {
|| metaClient.getTableConfig().getPayloadClass().contains("org.apache.hudi.OverwriteWithLatestAvroPayload"));
}
+ private void prepareHiveAvroSerializer() {
+ try {
+ List<String> hiveInternalColumns = Arrays.asList(new String[] {"BLOCK__OFFSET__INSIDE__FILE", "INPUT__FILE__NAME", "ROW__ID"});
Review Comment:
`List<String>` change to `Set<String>`
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[GitHub] [hudi] codope commented on pull request #6741: [HUDI-4898] presto/hive respect payload during merge parquet file and logfile when reading mor table
Posted by GitBox <gi...@apache.org>.
codope commented on PR #6741:
URL: https://github.com/apache/hudi/pull/6741#issuecomment-1259707346
@xiarixiaoyao There are some CI failures. Can you please fix them and rebase?
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[GitHub] [hudi] hudi-bot commented on pull request #6741: [HUDI-4898] presto/hive respect payload during merge parquet file and logfile when reading mor table
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on PR #6741:
URL: https://github.com/apache/hudi/pull/6741#issuecomment-1264220010
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[GitHub] [hudi] hudi-bot commented on pull request #6741: [HUDI-4898] presto/hive respect payload during merge parquet file and logfile when reading mor table
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on PR #6741:
URL: https://github.com/apache/hudi/pull/6741#issuecomment-1254850770
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[GitHub] [hudi] hudi-bot commented on pull request #6741: [HUDI-4898] presto/hive respect payload during merge parquet file and logfile when reading mor table
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on PR #6741:
URL: https://github.com/apache/hudi/pull/6741#issuecomment-1256836354
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[GitHub] [hudi] xiarixiaoyao commented on pull request #6741: [HUDI-4898] presto/hive respect payload during merge parquet file and logfile when reading mor table
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[GitHub] [hudi] hudi-bot commented on pull request #6741: [HUDI-4898] presto/hive respect payload during merge parquet file and logfile when reading mor table
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[GitHub] [hudi] hudi-bot commented on pull request #6741: [HUDI-4898] presto/hive respect payload during merge parquet file and logfile when reading mor table
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on PR #6741:
URL: https://github.com/apache/hudi/pull/6741#issuecomment-1301798641
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[GitHub] [hudi] codope merged pull request #6741: [HUDI-4898] presto/hive respect payload during merge parquet file and logfile when reading mor table
Posted by GitBox <gi...@apache.org>.
codope merged PR #6741:
URL: https://github.com/apache/hudi/pull/6741
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[GitHub] [hudi] hudi-bot commented on pull request #6741: [HUDI-4898] presto/hive respect payload during merge parquet file and logfile when reading mor table
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on PR #6741:
URL: https://github.com/apache/hudi/pull/6741#issuecomment-1302157346
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[GitHub] [hudi] codope commented on pull request #6741: [HUDI-4898] presto/hive respect payload during merge parquet file and logfile when reading mor table
Posted by GitBox <gi...@apache.org>.
codope commented on PR #6741:
URL: https://github.com/apache/hudi/pull/6741#issuecomment-1262012512
Canceling the CI run to prioritize release blocker PRs. Apologies. I will re-trigger once the blockers have finished.
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[GitHub] [hudi] hudi-bot commented on pull request #6741: [HUDI-4898] presto/hive respect payload during merge parquet file and logfile when reading mor table
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on PR #6741:
URL: https://github.com/apache/hudi/pull/6741#issuecomment-1262994744
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[GitHub] [hudi] hudi-bot commented on pull request #6741: [HUDI-4898] presto/hive respect payload during merge parquet file and logfile when reading mor table
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on PR #6741:
URL: https://github.com/apache/hudi/pull/6741#issuecomment-1257401673
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[GitHub] [hudi] hudi-bot commented on pull request #6741: [HUDI-4898] presto/hive respect payload during merge parquet file and logfile when reading mor table
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on PR #6741:
URL: https://github.com/apache/hudi/pull/6741#issuecomment-1258874959
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[GitHub] [hudi] hudi-bot commented on pull request #6741: [HUDI-4898] presto/hive respect payload during merge parquet file and logfile when reading mor table
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on PR #6741:
URL: https://github.com/apache/hudi/pull/6741#issuecomment-1260469032
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[GitHub] [hudi] hudi-bot commented on pull request #6741: [HUDI-4898] presto/hive respect payload during merge parquet file and logfile when reading mor table
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on PR #6741:
URL: https://github.com/apache/hudi/pull/6741#issuecomment-1259259064
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[GitHub] [hudi] hudi-bot commented on pull request #6741: [HUDI-4898] presto/hive respect payload during merge parquet file and logfile when reading mor table
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on PR #6741:
URL: https://github.com/apache/hudi/pull/6741#issuecomment-1257531054
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[GitHub] [hudi] hudi-bot commented on pull request #6741: [HUDI-4898] presto/hive respect payload during merge parquet file and logfile when reading mor table
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on PR #6741:
URL: https://github.com/apache/hudi/pull/6741#issuecomment-1259253127
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## CI report:
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[GitHub] [hudi] xiarixiaoyao commented on pull request #6741: [HUDI-4898] presto/hive respect payload during merge parquet file and logfile when reading mor table
Posted by GitBox <gi...@apache.org>.
xiarixiaoyao commented on PR #6741:
URL: https://github.com/apache/hudi/pull/6741#issuecomment-1272474317
@codope could you pls review again， fix all comments， thanks
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[GitHub] [hudi] xiarixiaoyao commented on pull request #6741: [HUDI-4898] presto/hive respect payload during merge parquet file and logfile when reading mor table
Posted by GitBox <gi...@apache.org>.
xiarixiaoyao commented on PR #6741:
URL: https://github.com/apache/hudi/pull/6741#issuecomment-1261633189
@hudi-bot run azure
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[GitHub] [hudi] hudi-bot commented on pull request #6741: [HUDI-4898] presto/hive respect payload during merge parquet file and logfile when reading mor table
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on PR #6741:
URL: https://github.com/apache/hudi/pull/6741#issuecomment-1254774208
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[GitHub] [hudi] hudi-bot commented on pull request #6741: [HUDI-4898] presto/hive respect payload during merge parquet file and logfile when reading mor table
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on PR #6741:
URL: https://github.com/apache/hudi/pull/6741#issuecomment-1263517844
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[GitHub] [hudi] hudi-bot commented on pull request #6741: [HUDI-4898] presto/hive respect payload during merge parquet file and logfile when reading mor table
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on PR #6741:
URL: https://github.com/apache/hudi/pull/6741#issuecomment-1263100954
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[GitHub] [hudi] hudi-bot commented on pull request #6741: [HUDI-4898] presto/hive respect payload during merge parquet file and logfile when reading mor table
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on PR #6741:
URL: https://github.com/apache/hudi/pull/6741#issuecomment-1257404281
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[GitHub] [hudi] hudi-bot commented on pull request #6741: [HUDI-4898] presto/hive respect payload during merge parquet file and logfile when reading mor table
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on PR #6741:
URL: https://github.com/apache/hudi/pull/6741#issuecomment-1255020036
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[GitHub] [hudi] hudi-bot commented on pull request #6741: [HUDI-4898] presto/hive respect payload during merge parquet file and logfile when reading mor table
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on PR #6741:
URL: https://github.com/apache/hudi/pull/6741#issuecomment-1255124761
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[GitHub] [hudi] hudi-bot commented on pull request #6741: [HUDI-4898] presto/hive respect payload during merge parquet file and logfile when reading mor table
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on PR #6741:
URL: https://github.com/apache/hudi/pull/6741#issuecomment-1260288962
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[GitHub] [hudi] hudi-bot commented on pull request #6741: [HUDI-4898] presto/hive respect payload during merge parquet file and logfile when reading mor table
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on PR #6741:
URL: https://github.com/apache/hudi/pull/6741#issuecomment-1261897114
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[GitHub] [hudi] hudi-bot commented on pull request #6741: [HUDI-4898] presto/hive respect payload during merge parquet file and logfile when reading mor table
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on PR #6741:
URL: https://github.com/apache/hudi/pull/6741#issuecomment-1272465247
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[GitHub] [hudi] hudi-bot commented on pull request #6741: [HUDI-4898] presto/hive respect payload during merge parquet file and logfile when reading mor table
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on PR #6741:
URL: https://github.com/apache/hudi/pull/6741#issuecomment-1272447239
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[GitHub] [hudi] hudi-bot commented on pull request #6741: [HUDI-4898] presto/hive respect payload during merge parquet file and logfile when reading mor table
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on PR #6741:
URL: https://github.com/apache/hudi/pull/6741#issuecomment-1301960823
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[GitHub] [hudi] hudi-bot commented on pull request #6741: [HUDI-4898] presto/hive respect payload during merge parquet file and logfile when reading mor table
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on PR #6741:
URL: https://github.com/apache/hudi/pull/6741#issuecomment-1301741087
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[GitHub] [hudi] xiarixiaoyao commented on pull request #6741: [HUDI-4898] presto/hive respect payload during merge parquet file and logfile when reading mor table
Posted by GitBox <gi...@apache.org>.
xiarixiaoyao commented on PR #6741:
URL: https://github.com/apache/hudi/pull/6741#issuecomment-1301964028
@hudi-bot run azure
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[GitHub] [hudi] hudi-bot commented on pull request #6741: [HUDI-4898] presto/hive respect payload during merge parquet file and logfile when reading mor table
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on PR #6741:
URL: https://github.com/apache/hudi/pull/6741#issuecomment-1254705337
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[GitHub] [hudi] hudi-bot commented on pull request #6741: [HUDI-4898] presto/hive respect payload during merge parquet file and logfile when reading mor table
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on PR #6741:
URL: https://github.com/apache/hudi/pull/6741#issuecomment-1256173178
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[GitHub] [hudi] hudi-bot commented on pull request #6741: [HUDI-4898] presto/hive respect payload during merge parquet file and logfile when reading mor table
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on PR #6741:
URL: https://github.com/apache/hudi/pull/6741#issuecomment-1256167533
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[GitHub] [hudi] XuQianJin-Stars commented on a diff in pull request #6741: [HUDI-4898] presto/hive respect payload during merge parquet file and logfile when reading mor table
Posted by GitBox <gi...@apache.org>.
XuQianJin-Stars commented on code in PR #6741:
URL: https://github.com/apache/hudi/pull/6741#discussion_r980908189
##########
hudi-hadoop-mr/src/main/java/org/apache/hudi/hadoop/utils/HoodieRealtimeRecordReaderUtils.java:
##########
@@ -176,6 +178,9 @@ public static Writable avroToArrayWritable(Object value, Schema schema) {
}
return new IntWritable((Integer) value);
case LONG:
+ if (schema.getLogicalType() != null && schema.getLogicalType().getName().equals("timestamp-micros")) {
Review Comment:
`schema.getLogicalType().getName().equals("timestamp-micros")` -> `"timestamp-micros".equals(schema.getLogicalType().getName())`?
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[GitHub] [hudi] hudi-bot commented on pull request #6741: [HUDI-4898] presto/hive respect payload during merge parquet file and logfile when reading mor table
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hudi-bot commented on PR #6741:
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[GitHub] [hudi] hudi-bot commented on pull request #6741: [HUDI-4898] presto/hive respect payload during merge parquet file and logfile when reading mor table
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on PR #6741:
URL: https://github.com/apache/hudi/pull/6741#issuecomment-1272447816
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[GitHub] [hudi] hudi-bot commented on pull request #6741: [HUDI-4898] presto/hive respect payload during merge parquet file and logfile when reading mor table
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on PR #6741:
URL: https://github.com/apache/hudi/pull/6741#issuecomment-1260714166
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[GitHub] [hudi] xiarixiaoyao commented on a diff in pull request #6741: [HUDI-4898] presto/hive respect payload during merge parquet file and logfile when reading mor table
Posted by GitBox <gi...@apache.org>.
xiarixiaoyao commented on code in PR #6741:
URL: https://github.com/apache/hudi/pull/6741#discussion_r983177587
##########
hudi-hadoop-mr/src/main/java/org/apache/hudi/hadoop/realtime/RealtimeCompactedRecordReader.java:
##########
@@ -81,7 +82,7 @@ private HoodieMergedLogRecordScanner getMergedLogRecordScanner() throws IOExcept
.withFileSystem(FSUtils.getFs(split.getPath().toString(), jobConf))
.withBasePath(split.getBasePath())
.withLogFilePaths(split.getDeltaLogPaths())
- .withReaderSchema(usesCustomPayload ? getWriterSchema() : getReaderSchema())
+ .withReaderSchema(getWriterSchema())
Review Comment:
yes， agree. update the codes
##########
hudi-hadoop-mr/src/main/java/org/apache/hudi/hadoop/utils/HiveAvroSerializer.java:
##########
@@ -0,0 +1,400 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements. See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership. The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.hudi.hadoop.utils;
+
+import org.apache.avro.JsonProperties;
+import org.apache.avro.LogicalTypes;
+import org.apache.avro.Schema;
+import org.apache.avro.generic.GenericData;
+import org.apache.avro.generic.GenericEnumSymbol;
+import org.apache.avro.generic.GenericRecord;
+import org.apache.avro.specific.SpecificRecordBase;
+import org.apache.hadoop.hive.common.type.HiveChar;
+import org.apache.hadoop.hive.common.type.HiveDecimal;
+import org.apache.hadoop.hive.common.type.HiveVarchar;
+import org.apache.hadoop.hive.serde2.avro.AvroSerdeUtils;
+import org.apache.hadoop.hive.serde2.avro.InstanceCache;
+import org.apache.hadoop.hive.serde2.io.DateWritable;
+import org.apache.hadoop.hive.serde2.objectinspector.ListObjectInspector;
+import org.apache.hadoop.hive.serde2.objectinspector.MapObjectInspector;
+import org.apache.hadoop.hive.serde2.objectinspector.ObjectInspector;
+import org.apache.hadoop.hive.serde2.objectinspector.PrimitiveObjectInspector;
+import org.apache.hadoop.hive.serde2.objectinspector.StructField;
+import org.apache.hadoop.hive.serde2.objectinspector.StructObjectInspector;
+import org.apache.hadoop.hive.serde2.objectinspector.UnionObjectInspector;
+import org.apache.hadoop.hive.serde2.objectinspector.primitive.DateObjectInspector;
+import org.apache.hadoop.hive.serde2.objectinspector.primitive.TimestampObjectInspector;
+import org.apache.hadoop.hive.serde2.objectinspector.primitive.WritableDateObjectInspector;
+import org.apache.hadoop.hive.serde2.typeinfo.ListTypeInfo;
+import org.apache.hadoop.hive.serde2.typeinfo.MapTypeInfo;
+import org.apache.hadoop.hive.serde2.typeinfo.StructTypeInfo;
+import org.apache.hadoop.hive.serde2.typeinfo.TypeInfo;
+import org.apache.hadoop.hive.serde2.typeinfo.UnionTypeInfo;
+import org.apache.hudi.avro.HoodieAvroUtils;
+import org.apache.hudi.exception.HoodieException;
+
+import java.math.BigDecimal;
+import java.sql.Timestamp;
+import java.util.ArrayList;
+import java.util.LinkedHashMap;
+import java.util.List;
+import java.util.Map;
+import java.util.Set;
+
+import static org.apache.hudi.avro.AvroSchemaUtils.resolveUnionSchema;
+import static org.apache.hudi.avro.HoodieAvroUtils.isMetadataField;
+
+/**
+ * Helper class to serialize hive writable type to avro record.
+ */
+public class HiveAvroSerializer {
+
+ private final List<String> columnNames;
+ private final List<TypeInfo> columnTypes;
+ private final ObjectInspector objectInspector;
+
+ public HiveAvroSerializer(ObjectInspector objectInspector, List<String> columnNames, List<TypeInfo> columnTypes) {
+ this.columnNames = columnNames;
+ this.columnTypes = columnTypes;
+ this.objectInspector = objectInspector;
+ }
+
+ private static final Schema STRING_SCHEMA = Schema.create(Schema.Type.STRING);
+
+ public GenericRecord serialize(Object o, Schema schema) {
+
+ StructObjectInspector soi = (StructObjectInspector) objectInspector;
+ GenericData.Record record = new GenericData.Record(schema);
+
+ List<? extends StructField> outputFieldRefs = soi.getAllStructFieldRefs();
+ if (outputFieldRefs.size() != columnNames.size()) {
+ throw new HoodieException("Number of input columns was different than output columns (in = " + columnNames.size() + " vs out = " + outputFieldRefs.size());
+ }
+
+ int size = schema.getFields().size();
+
+ List<? extends StructField> allStructFieldRefs = soi.getAllStructFieldRefs();
+ List<Object> structFieldsDataAsList = soi.getStructFieldsDataAsList(o);
+
+ for (int i = 0; i < size; i++) {
+ Schema.Field field = schema.getFields().get(i);
+ if (i >= columnTypes.size()) {
+ break;
+ }
+ TypeInfo typeInfo = columnTypes.get(i);
+ StructField structFieldRef = allStructFieldRefs.get(i);
+ Object structFieldData = structFieldsDataAsList.get(i);
+ ObjectInspector fieldOI = structFieldRef.getFieldObjectInspector();
+ Object val = serialize(typeInfo, fieldOI, structFieldData, field.schema());
+ if (val == null) {
+ if (field.defaultVal() instanceof JsonProperties.Null) {
+ record.put(field.name(), null);
+ } else {
+ record.put(field.name(), field.defaultVal());
+ }
+ } else {
+ record.put(field.name(), val);
+ }
+ }
+ return record;
+ }
+
+ /**
+ * Determine if an Avro schema is of type Union[T, NULL]. Avro supports nullable
+ * types via a union of type T and null. This is a very common use case.
+ * As such, we want to silently convert it to just T and allow the value to be null.
+ *
+ * When a Hive union type is used with AVRO, the schema type becomes
+ * Union[NULL, T1, T2, ...]. The NULL in the union should be silently removed
+ *
+ * @return true if type represents Union[T, Null], false otherwise
+ */
+ public static boolean isNullableType(Schema schema) {
+ if (!schema.getType().equals(Schema.Type.UNION)) {
+ return false;
+ }
+
+ List<Schema> itemSchemas = schema.getTypes();
+ if (itemSchemas.size() < 2) {
+ return false;
+ }
+
+ for (Schema itemSchema : itemSchemas) {
+ if (Schema.Type.NULL.equals(itemSchema.getType())) {
+ return true;
+ }
+ }
+
+ // [null, null] not allowed, so this check is ok.
+ return false;
+ }
+
+ /**
+ * If the union schema is a nullable union, get the schema for the non-nullable type.
+ * This method does no checking that the provided Schema is nullable. If the provided
+ * union schema is non-nullable, it simply returns the union schema
+ */
+ public static Schema getOtherTypeFromNullableType(Schema unionSchema) {
+ final List<Schema> types = unionSchema.getTypes();
+ if (types.size() == 2) { // most common scenario
+ if (types.get(0).getType() == Schema.Type.NULL) {
+ return types.get(1);
+ }
+ if (types.get(1).getType() == Schema.Type.NULL) {
+ return types.get(0);
+ }
+ // not a nullable union
+ return unionSchema;
+ }
+
+ final List<Schema> itemSchemas = new ArrayList<>();
+ for (Schema itemSchema : types) {
+ if (!Schema.Type.NULL.equals(itemSchema.getType())) {
+ itemSchemas.add(itemSchema);
+ }
+ }
+
+ if (itemSchemas.size() > 1) {
+ return Schema.createUnion(itemSchemas);
+ } else {
+ return itemSchemas.get(0);
+ }
+ }
+
+ private Object serialize(TypeInfo typeInfo, ObjectInspector fieldOI, Object structFieldData, Schema schema) throws HoodieException {
+ if (null == structFieldData) {
+ return null;
+ }
+
+ if (isNullableType(schema)) {
+ schema = getOtherTypeFromNullableType(schema);
+ }
+ /* Because we use Hive's 'string' type when Avro calls for enum, we have to expressly check for enum-ness */
+ if (Schema.Type.ENUM.equals(schema.getType())) {
+ assert fieldOI instanceof PrimitiveObjectInspector;
+ return serializeEnum(typeInfo, (PrimitiveObjectInspector) fieldOI, structFieldData, schema);
+ }
+ switch (typeInfo.getCategory()) {
+ case PRIMITIVE:
+ assert fieldOI instanceof PrimitiveObjectInspector;
+ return serializePrimitive(typeInfo, (PrimitiveObjectInspector) fieldOI, structFieldData, schema);
+ case MAP:
+ assert fieldOI instanceof MapObjectInspector;
+ assert typeInfo instanceof MapTypeInfo;
+ return serializeMap((MapTypeInfo) typeInfo, (MapObjectInspector) fieldOI, structFieldData, schema);
+ case LIST:
+ assert fieldOI instanceof ListObjectInspector;
+ assert typeInfo instanceof ListTypeInfo;
+ return serializeList((ListTypeInfo) typeInfo, (ListObjectInspector) fieldOI, structFieldData, schema);
+ case UNION:
+ assert fieldOI instanceof UnionObjectInspector;
+ assert typeInfo instanceof UnionTypeInfo;
+ return serializeUnion((UnionTypeInfo) typeInfo, (UnionObjectInspector) fieldOI, structFieldData, schema);
+ case STRUCT:
+ assert fieldOI instanceof StructObjectInspector;
+ assert typeInfo instanceof StructTypeInfo;
+ return serializeStruct((StructTypeInfo) typeInfo, (StructObjectInspector) fieldOI, structFieldData, schema);
+ default:
+ throw new HoodieException("Ran out of TypeInfo Categories: " + typeInfo.getCategory());
+ }
+ }
+
+ /** private cache to avoid lots of EnumSymbol creation while serializing.
+ * Two levels because the enum symbol is specific to a schema.
+ * Object because we want to avoid the overhead of repeated toString calls while maintaining compatability.
+ * Provided there are few enum types per record, and few symbols per enum, memory use should be moderate.
+ * eg 20 types with 50 symbols each as length-10 Strings should be on the order of 100KB per AvroSerializer.
+ */
+ final InstanceCache<Schema, InstanceCache<Object, GenericEnumSymbol>> enums = new InstanceCache<Schema, InstanceCache<Object, GenericEnumSymbol>>() {
+ @Override
+ protected InstanceCache<Object, GenericEnumSymbol> makeInstance(final Schema schema,
+ Set<Schema> seenSchemas) {
+ return new InstanceCache<Object, GenericEnumSymbol>() {
+ @Override
+ protected GenericEnumSymbol makeInstance(Object seed, Set<Object> seenSchemas) {
+ return new GenericData.EnumSymbol(schema, seed.toString());
+ }
+ };
+ }
+ };
+
+ private Object serializeEnum(TypeInfo typeInfo, PrimitiveObjectInspector fieldOI, Object structFieldData, Schema schema) throws HoodieException {
+ try {
+ return enums.retrieve(schema).retrieve(serializePrimitive(typeInfo, fieldOI, structFieldData, schema));
+ } catch (Exception e) {
+ throw new HoodieException(e);
+ }
+ }
+
+ private Object serializeStruct(StructTypeInfo typeInfo, StructObjectInspector ssoi, Object o, Schema schema) {
+ int size = schema.getFields().size();
+ List<? extends StructField> allStructFieldRefs = ssoi.getAllStructFieldRefs();
+ List<Object> structFieldsDataAsList = ssoi.getStructFieldsDataAsList(o);
+ GenericData.Record record = new GenericData.Record(schema);
+ ArrayList<TypeInfo> allStructFieldTypeInfos = typeInfo.getAllStructFieldTypeInfos();
+
+ for (int i = 0; i < size; i++) {
+ Schema.Field field = schema.getFields().get(i);
+ TypeInfo colTypeInfo = allStructFieldTypeInfos.get(i);
+ StructField structFieldRef = allStructFieldRefs.get(i);
+ Object structFieldData = structFieldsDataAsList.get(i);
+ ObjectInspector fieldOI = structFieldRef.getFieldObjectInspector();
+
+ Object val = serialize(colTypeInfo, fieldOI, structFieldData, field.schema());
+ if (val == null) {
+ if (field.defaultVal() instanceof JsonProperties.Null) {
+ record.put(field.name(), null);
+ } else {
+ record.put(field.name(), field.defaultVal());
+ }
+ } else {
+ record.put(field.name(), val);
+ }
Review Comment:
fixed
##########
hudi-hadoop-mr/src/main/java/org/apache/hudi/hadoop/utils/HiveAvroSerializer.java:
##########
@@ -0,0 +1,400 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements. See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership. The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.hudi.hadoop.utils;
+
+import org.apache.avro.JsonProperties;
+import org.apache.avro.LogicalTypes;
+import org.apache.avro.Schema;
+import org.apache.avro.generic.GenericData;
+import org.apache.avro.generic.GenericEnumSymbol;
+import org.apache.avro.generic.GenericRecord;
+import org.apache.avro.specific.SpecificRecordBase;
+import org.apache.hadoop.hive.common.type.HiveChar;
+import org.apache.hadoop.hive.common.type.HiveDecimal;
+import org.apache.hadoop.hive.common.type.HiveVarchar;
+import org.apache.hadoop.hive.serde2.avro.AvroSerdeUtils;
+import org.apache.hadoop.hive.serde2.avro.InstanceCache;
+import org.apache.hadoop.hive.serde2.io.DateWritable;
+import org.apache.hadoop.hive.serde2.objectinspector.ListObjectInspector;
+import org.apache.hadoop.hive.serde2.objectinspector.MapObjectInspector;
+import org.apache.hadoop.hive.serde2.objectinspector.ObjectInspector;
+import org.apache.hadoop.hive.serde2.objectinspector.PrimitiveObjectInspector;
+import org.apache.hadoop.hive.serde2.objectinspector.StructField;
+import org.apache.hadoop.hive.serde2.objectinspector.StructObjectInspector;
+import org.apache.hadoop.hive.serde2.objectinspector.UnionObjectInspector;
+import org.apache.hadoop.hive.serde2.objectinspector.primitive.DateObjectInspector;
+import org.apache.hadoop.hive.serde2.objectinspector.primitive.TimestampObjectInspector;
+import org.apache.hadoop.hive.serde2.objectinspector.primitive.WritableDateObjectInspector;
+import org.apache.hadoop.hive.serde2.typeinfo.ListTypeInfo;
+import org.apache.hadoop.hive.serde2.typeinfo.MapTypeInfo;
+import org.apache.hadoop.hive.serde2.typeinfo.StructTypeInfo;
+import org.apache.hadoop.hive.serde2.typeinfo.TypeInfo;
+import org.apache.hadoop.hive.serde2.typeinfo.UnionTypeInfo;
+import org.apache.hudi.avro.HoodieAvroUtils;
+import org.apache.hudi.exception.HoodieException;
+
+import java.math.BigDecimal;
+import java.sql.Timestamp;
+import java.util.ArrayList;
+import java.util.LinkedHashMap;
+import java.util.List;
+import java.util.Map;
+import java.util.Set;
+
+import static org.apache.hudi.avro.AvroSchemaUtils.resolveUnionSchema;
+import static org.apache.hudi.avro.HoodieAvroUtils.isMetadataField;
+
+/**
+ * Helper class to serialize hive writable type to avro record.
+ */
+public class HiveAvroSerializer {
+
+ private final List<String> columnNames;
+ private final List<TypeInfo> columnTypes;
+ private final ObjectInspector objectInspector;
+
+ public HiveAvroSerializer(ObjectInspector objectInspector, List<String> columnNames, List<TypeInfo> columnTypes) {
+ this.columnNames = columnNames;
+ this.columnTypes = columnTypes;
+ this.objectInspector = objectInspector;
+ }
+
+ private static final Schema STRING_SCHEMA = Schema.create(Schema.Type.STRING);
+
+ public GenericRecord serialize(Object o, Schema schema) {
+
+ StructObjectInspector soi = (StructObjectInspector) objectInspector;
+ GenericData.Record record = new GenericData.Record(schema);
+
+ List<? extends StructField> outputFieldRefs = soi.getAllStructFieldRefs();
+ if (outputFieldRefs.size() != columnNames.size()) {
+ throw new HoodieException("Number of input columns was different than output columns (in = " + columnNames.size() + " vs out = " + outputFieldRefs.size());
+ }
+
+ int size = schema.getFields().size();
+
+ List<? extends StructField> allStructFieldRefs = soi.getAllStructFieldRefs();
+ List<Object> structFieldsDataAsList = soi.getStructFieldsDataAsList(o);
+
+ for (int i = 0; i < size; i++) {
+ Schema.Field field = schema.getFields().get(i);
+ if (i >= columnTypes.size()) {
+ break;
+ }
+ TypeInfo typeInfo = columnTypes.get(i);
+ StructField structFieldRef = allStructFieldRefs.get(i);
+ Object structFieldData = structFieldsDataAsList.get(i);
+ ObjectInspector fieldOI = structFieldRef.getFieldObjectInspector();
+ Object val = serialize(typeInfo, fieldOI, structFieldData, field.schema());
+ if (val == null) {
+ if (field.defaultVal() instanceof JsonProperties.Null) {
+ record.put(field.name(), null);
+ } else {
+ record.put(field.name(), field.defaultVal());
+ }
+ } else {
+ record.put(field.name(), val);
+ }
+ }
+ return record;
+ }
+
+ /**
+ * Determine if an Avro schema is of type Union[T, NULL]. Avro supports nullable
+ * types via a union of type T and null. This is a very common use case.
+ * As such, we want to silently convert it to just T and allow the value to be null.
+ *
+ * When a Hive union type is used with AVRO, the schema type becomes
+ * Union[NULL, T1, T2, ...]. The NULL in the union should be silently removed
+ *
+ * @return true if type represents Union[T, Null], false otherwise
+ */
+ public static boolean isNullableType(Schema schema) {
+ if (!schema.getType().equals(Schema.Type.UNION)) {
+ return false;
+ }
+
+ List<Schema> itemSchemas = schema.getTypes();
+ if (itemSchemas.size() < 2) {
+ return false;
+ }
+
+ for (Schema itemSchema : itemSchemas) {
+ if (Schema.Type.NULL.equals(itemSchema.getType())) {
+ return true;
+ }
+ }
+
+ // [null, null] not allowed, so this check is ok.
+ return false;
+ }
+
+ /**
+ * If the union schema is a nullable union, get the schema for the non-nullable type.
+ * This method does no checking that the provided Schema is nullable. If the provided
+ * union schema is non-nullable, it simply returns the union schema
+ */
+ public static Schema getOtherTypeFromNullableType(Schema unionSchema) {
+ final List<Schema> types = unionSchema.getTypes();
+ if (types.size() == 2) { // most common scenario
+ if (types.get(0).getType() == Schema.Type.NULL) {
+ return types.get(1);
+ }
+ if (types.get(1).getType() == Schema.Type.NULL) {
+ return types.get(0);
+ }
+ // not a nullable union
+ return unionSchema;
+ }
+
+ final List<Schema> itemSchemas = new ArrayList<>();
+ for (Schema itemSchema : types) {
+ if (!Schema.Type.NULL.equals(itemSchema.getType())) {
+ itemSchemas.add(itemSchema);
+ }
+ }
+
+ if (itemSchemas.size() > 1) {
+ return Schema.createUnion(itemSchemas);
+ } else {
+ return itemSchemas.get(0);
+ }
+ }
+
+ private Object serialize(TypeInfo typeInfo, ObjectInspector fieldOI, Object structFieldData, Schema schema) throws HoodieException {
+ if (null == structFieldData) {
+ return null;
+ }
+
+ if (isNullableType(schema)) {
+ schema = getOtherTypeFromNullableType(schema);
+ }
+ /* Because we use Hive's 'string' type when Avro calls for enum, we have to expressly check for enum-ness */
+ if (Schema.Type.ENUM.equals(schema.getType())) {
+ assert fieldOI instanceof PrimitiveObjectInspector;
+ return serializeEnum(typeInfo, (PrimitiveObjectInspector) fieldOI, structFieldData, schema);
+ }
+ switch (typeInfo.getCategory()) {
+ case PRIMITIVE:
+ assert fieldOI instanceof PrimitiveObjectInspector;
+ return serializePrimitive(typeInfo, (PrimitiveObjectInspector) fieldOI, structFieldData, schema);
+ case MAP:
+ assert fieldOI instanceof MapObjectInspector;
+ assert typeInfo instanceof MapTypeInfo;
+ return serializeMap((MapTypeInfo) typeInfo, (MapObjectInspector) fieldOI, structFieldData, schema);
+ case LIST:
+ assert fieldOI instanceof ListObjectInspector;
+ assert typeInfo instanceof ListTypeInfo;
+ return serializeList((ListTypeInfo) typeInfo, (ListObjectInspector) fieldOI, structFieldData, schema);
+ case UNION:
+ assert fieldOI instanceof UnionObjectInspector;
+ assert typeInfo instanceof UnionTypeInfo;
+ return serializeUnion((UnionTypeInfo) typeInfo, (UnionObjectInspector) fieldOI, structFieldData, schema);
+ case STRUCT:
+ assert fieldOI instanceof StructObjectInspector;
+ assert typeInfo instanceof StructTypeInfo;
+ return serializeStruct((StructTypeInfo) typeInfo, (StructObjectInspector) fieldOI, structFieldData, schema);
+ default:
+ throw new HoodieException("Ran out of TypeInfo Categories: " + typeInfo.getCategory());
+ }
+ }
+
+ /** private cache to avoid lots of EnumSymbol creation while serializing.
+ * Two levels because the enum symbol is specific to a schema.
+ * Object because we want to avoid the overhead of repeated toString calls while maintaining compatability.
+ * Provided there are few enum types per record, and few symbols per enum, memory use should be moderate.
+ * eg 20 types with 50 symbols each as length-10 Strings should be on the order of 100KB per AvroSerializer.
+ */
+ final InstanceCache<Schema, InstanceCache<Object, GenericEnumSymbol>> enums = new InstanceCache<Schema, InstanceCache<Object, GenericEnumSymbol>>() {
+ @Override
+ protected InstanceCache<Object, GenericEnumSymbol> makeInstance(final Schema schema,
+ Set<Schema> seenSchemas) {
+ return new InstanceCache<Object, GenericEnumSymbol>() {
+ @Override
+ protected GenericEnumSymbol makeInstance(Object seed, Set<Object> seenSchemas) {
+ return new GenericData.EnumSymbol(schema, seed.toString());
+ }
+ };
+ }
+ };
+
+ private Object serializeEnum(TypeInfo typeInfo, PrimitiveObjectInspector fieldOI, Object structFieldData, Schema schema) throws HoodieException {
+ try {
+ return enums.retrieve(schema).retrieve(serializePrimitive(typeInfo, fieldOI, structFieldData, schema));
+ } catch (Exception e) {
+ throw new HoodieException(e);
+ }
+ }
+
+ private Object serializeStruct(StructTypeInfo typeInfo, StructObjectInspector ssoi, Object o, Schema schema) {
+ int size = schema.getFields().size();
+ List<? extends StructField> allStructFieldRefs = ssoi.getAllStructFieldRefs();
+ List<Object> structFieldsDataAsList = ssoi.getStructFieldsDataAsList(o);
+ GenericData.Record record = new GenericData.Record(schema);
+ ArrayList<TypeInfo> allStructFieldTypeInfos = typeInfo.getAllStructFieldTypeInfos();
+
+ for (int i = 0; i < size; i++) {
+ Schema.Field field = schema.getFields().get(i);
+ TypeInfo colTypeInfo = allStructFieldTypeInfos.get(i);
+ StructField structFieldRef = allStructFieldRefs.get(i);
+ Object structFieldData = structFieldsDataAsList.get(i);
+ ObjectInspector fieldOI = structFieldRef.getFieldObjectInspector();
+
+ Object val = serialize(colTypeInfo, fieldOI, structFieldData, field.schema());
+ if (val == null) {
+ if (field.defaultVal() instanceof JsonProperties.Null) {
+ record.put(field.name(), null);
+ } else {
+ record.put(field.name(), field.defaultVal());
+ }
+ } else {
+ record.put(field.name(), val);
+ }
+ }
+ return record;
+ }
+
+ private Object serializePrimitive(TypeInfo typeInfo, PrimitiveObjectInspector fieldOI, Object structFieldData, Schema schema) throws HoodieException {
Review Comment:
fixed
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[GitHub] [hudi] xiarixiaoyao commented on a diff in pull request #6741: [HUDI-4898] presto/hive respect payload during merge parquet file and logfile when reading mor table
Posted by GitBox <gi...@apache.org>.
xiarixiaoyao commented on code in PR #6741:
URL: https://github.com/apache/hudi/pull/6741#discussion_r983177144
##########
hudi-hadoop-mr/src/test/java/org/apache/hudi/hadoop/utils/TestHiveAvroSerializer.java:
##########
@@ -0,0 +1,148 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements. See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership. The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.hudi.hadoop.utils;
+
+import static org.junit.jupiter.api.Assertions.assertTrue;
+
+import org.apache.avro.LogicalTypes;
+import org.apache.avro.Schema;
+import org.apache.avro.generic.GenericData;
+import org.apache.avro.generic.GenericRecord;
+import org.apache.hadoop.hive.ql.io.parquet.serde.ArrayWritableObjectInspector;
+import org.apache.hadoop.hive.serde2.typeinfo.StructTypeInfo;
+import org.apache.hadoop.hive.serde2.typeinfo.TypeInfo;
+import org.apache.hadoop.hive.serde2.typeinfo.TypeInfoFactory;
+import org.apache.hadoop.hive.serde2.typeinfo.TypeInfoUtils;
+import org.apache.hadoop.io.ArrayWritable;
+import org.apache.hadoop.io.Writable;
+import org.apache.hudi.avro.HoodieAvroUtils;
+
+import org.junit.jupiter.api.Test;
+
+import java.math.BigDecimal;
+import java.nio.ByteBuffer;
+import java.util.ArrayList;
+import java.util.Arrays;
+import java.util.List;
+import java.util.stream.Collectors;
+
+public class TestHiveAvroSerializer {
+
+ private static final String SIMPLESCHEMA = "{\"type\":\"record\",\"name\":\"h0_record\",\"namespace\":\"hoodie.h0\",\"fields\""
+ + ":[{\"name\":\"id\",\"type\":[\"null\",\"int\"],\"default\":null},"
+ + "{\"name\":\"col1\",\"type\":[\"null\",\"long\"],\"default\":null},"
+ + "{\"name\":\"col2\",\"type\":[\"null\",\"float\"],\"default\":null},"
+ + "{\"name\":\"col3\",\"type\":[\"null\",\"double\"],\"default\":null},"
+ + "{\"name\":\"col4\",\"type\":[\"null\",{\"type\":\"fixed\",\"name\":\"fixed\",\"namespace\":\"hoodie.h0.h0_record.col4\","
+ + "\"size\":5,\"logicalType\":\"decimal\",\"precision\":10,\"scale\":4}],\"default\":null},"
+ + "{\"name\":\"col5\",\"type\":[\"null\",\"string\"],\"default\":null},"
+ + "{\"name\":\"col6\",\"type\":[\"null\",{\"type\":\"int\",\"logicalType\":\"date\"}],\"default\":null},"
+ + "{\"name\":\"col7\",\"type\":[\"null\",{\"type\":\"long\",\"logicalType\":\"timestamp-micros\"}],\"default\":null},"
+ + "{\"name\":\"col8\",\"type\":[\"null\",\"boolean\"],\"default\":null},"
+ + "{\"name\":\"col9\",\"type\":[\"null\",\"bytes\"],\"default\":null},"
+ + "{\"name\":\"par\",\"type\":[\"null\",{\"type\":\"int\",\"logicalType\":\"date\"}],\"default\":null}]}";
+ private static final String NESTSCHEMA = "{\"name\":\"MyClass\",\"type\":\"record\",\"namespace\":\"com.acme.avro\",\"fields\":["
+ + "{\"name\":\"firstname\",\"type\":\"string\"},"
+ + "{\"name\":\"lastname\",\"type\":\"string\"},"
+ + "{\"name\":\"student\",\"type\":{\"name\":\"student\",\"type\":\"record\",\"fields\":["
+ + "{\"name\":\"firstname\",\"type\":[\"null\" ,\"string\"],\"default\": null},{\"name\":\"lastname\",\"type\":[\"null\" ,\"string\"],\"default\": null}]}}]}";
+
+ @Test
+ public void testSerialize() {
+ Schema avroSchema = new Schema.Parser().parse(SIMPLESCHEMA);
+ // create a test record with avroSchema
+ GenericData.Record avroRecord = new GenericData.Record(avroSchema);
+ avroRecord.put("id", 1);
+ avroRecord.put("col1", 1000L);
+ avroRecord.put("col2", -5.001f);
+ avroRecord.put("col3", 12.999d);
+ Schema currentDecimalType = avroSchema.getField("col4").schema().getTypes().get(1);
+ BigDecimal bd = new BigDecimal("123.456").setScale(((LogicalTypes.Decimal) currentDecimalType.getLogicalType()).getScale());
+ avroRecord.put("col4", HoodieAvroUtils.DECIMAL_CONVERSION.toFixed(bd, currentDecimalType, currentDecimalType.getLogicalType()));
+ avroRecord.put("col5", "2011-01-01");
+ avroRecord.put("col6", 18987);
+ avroRecord.put("col7", 1640491505000000L);
+ avroRecord.put("col8", false);
+ ByteBuffer bb = ByteBuffer.wrap(new byte[]{97, 48, 53});
+ avroRecord.put("col9", bb);
+ assertTrue(GenericData.get().validate(avroSchema, avroRecord));
+ ArrayWritable writable = (ArrayWritable) HoodieRealtimeRecordReaderUtils.avroToArrayWritable(avroRecord, avroSchema);
+
+ List<Writable> writableList = Arrays.stream(writable.get()).collect(Collectors.toList());
+ writableList.remove(writableList.size() - 1);
+ ArrayWritable clipWritable = new ArrayWritable(writable.getValueClass(), writableList.toArray(new Writable[0]));
+
+ List<TypeInfo> columnTypeList = createHiveTypeInfoFrom("int,bigint,float,double,decimal(10,4),string,date,timestamp,boolean,binary,date");
+ List<String> columnNameList = createHiveColumnsFrom("id,col1,col2,col3,col4,col5,col6,col7,col8,col9,par");
+ StructTypeInfo rowTypeInfo = (StructTypeInfo) TypeInfoFactory.getStructTypeInfo(columnNameList, columnTypeList);
+ GenericRecord testRecord = new HiveAvroSerializer(new ArrayWritableObjectInspector(rowTypeInfo), columnNameList, columnTypeList).serialize(writable, avroSchema);
+ assertTrue(GenericData.get().validate(avroSchema, testRecord));
+ // test
+ List<TypeInfo> columnTypeListClip = createHiveTypeInfoFrom("int,bigint,float,double,decimal(10,4),string,date,timestamp,boolean,binary");
+ List<String> columnNameListClip = createHiveColumnsFrom("id,col1,col2,col3,col4,col5,col6,col7,col8,col9");
+ StructTypeInfo rowTypeInfoClip = (StructTypeInfo) TypeInfoFactory.getStructTypeInfo(columnNameListClip, columnTypeListClip);
+ GenericRecord testRecordClip = new HiveAvroSerializer(new ArrayWritableObjectInspector(rowTypeInfoClip), columnNameListClip, columnTypeListClip).serialize(clipWritable, avroSchema);
+ assertTrue(GenericData.get().validate(avroSchema, testRecordClip));
+
+ }
+
+ @Test
+ public void testNestValueSerialize() {
Review Comment:
fixed
##########
hudi-hadoop-mr/src/test/java/org/apache/hudi/hadoop/utils/TestHiveAvroSerializer.java:
##########
@@ -0,0 +1,148 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements. See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership. The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.hudi.hadoop.utils;
+
+import static org.junit.jupiter.api.Assertions.assertTrue;
+
+import org.apache.avro.LogicalTypes;
+import org.apache.avro.Schema;
+import org.apache.avro.generic.GenericData;
+import org.apache.avro.generic.GenericRecord;
+import org.apache.hadoop.hive.ql.io.parquet.serde.ArrayWritableObjectInspector;
+import org.apache.hadoop.hive.serde2.typeinfo.StructTypeInfo;
+import org.apache.hadoop.hive.serde2.typeinfo.TypeInfo;
+import org.apache.hadoop.hive.serde2.typeinfo.TypeInfoFactory;
+import org.apache.hadoop.hive.serde2.typeinfo.TypeInfoUtils;
+import org.apache.hadoop.io.ArrayWritable;
+import org.apache.hadoop.io.Writable;
+import org.apache.hudi.avro.HoodieAvroUtils;
+
+import org.junit.jupiter.api.Test;
+
+import java.math.BigDecimal;
+import java.nio.ByteBuffer;
+import java.util.ArrayList;
+import java.util.Arrays;
+import java.util.List;
+import java.util.stream.Collectors;
+
+public class TestHiveAvroSerializer {
+
+ private static final String SIMPLESCHEMA = "{\"type\":\"record\",\"name\":\"h0_record\",\"namespace\":\"hoodie.h0\",\"fields\""
+ + ":[{\"name\":\"id\",\"type\":[\"null\",\"int\"],\"default\":null},"
+ + "{\"name\":\"col1\",\"type\":[\"null\",\"long\"],\"default\":null},"
+ + "{\"name\":\"col2\",\"type\":[\"null\",\"float\"],\"default\":null},"
+ + "{\"name\":\"col3\",\"type\":[\"null\",\"double\"],\"default\":null},"
+ + "{\"name\":\"col4\",\"type\":[\"null\",{\"type\":\"fixed\",\"name\":\"fixed\",\"namespace\":\"hoodie.h0.h0_record.col4\","
+ + "\"size\":5,\"logicalType\":\"decimal\",\"precision\":10,\"scale\":4}],\"default\":null},"
+ + "{\"name\":\"col5\",\"type\":[\"null\",\"string\"],\"default\":null},"
+ + "{\"name\":\"col6\",\"type\":[\"null\",{\"type\":\"int\",\"logicalType\":\"date\"}],\"default\":null},"
+ + "{\"name\":\"col7\",\"type\":[\"null\",{\"type\":\"long\",\"logicalType\":\"timestamp-micros\"}],\"default\":null},"
+ + "{\"name\":\"col8\",\"type\":[\"null\",\"boolean\"],\"default\":null},"
+ + "{\"name\":\"col9\",\"type\":[\"null\",\"bytes\"],\"default\":null},"
+ + "{\"name\":\"par\",\"type\":[\"null\",{\"type\":\"int\",\"logicalType\":\"date\"}],\"default\":null}]}";
+ private static final String NESTSCHEMA = "{\"name\":\"MyClass\",\"type\":\"record\",\"namespace\":\"com.acme.avro\",\"fields\":["
Review Comment:
fixed
##########
hudi-hadoop-mr/src/test/java/org/apache/hudi/hadoop/utils/TestHiveAvroSerializer.java:
##########
@@ -0,0 +1,148 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements. See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership. The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.hudi.hadoop.utils;
+
+import static org.junit.jupiter.api.Assertions.assertTrue;
+
+import org.apache.avro.LogicalTypes;
+import org.apache.avro.Schema;
+import org.apache.avro.generic.GenericData;
+import org.apache.avro.generic.GenericRecord;
+import org.apache.hadoop.hive.ql.io.parquet.serde.ArrayWritableObjectInspector;
+import org.apache.hadoop.hive.serde2.typeinfo.StructTypeInfo;
+import org.apache.hadoop.hive.serde2.typeinfo.TypeInfo;
+import org.apache.hadoop.hive.serde2.typeinfo.TypeInfoFactory;
+import org.apache.hadoop.hive.serde2.typeinfo.TypeInfoUtils;
+import org.apache.hadoop.io.ArrayWritable;
+import org.apache.hadoop.io.Writable;
+import org.apache.hudi.avro.HoodieAvroUtils;
+
+import org.junit.jupiter.api.Test;
+
+import java.math.BigDecimal;
+import java.nio.ByteBuffer;
+import java.util.ArrayList;
+import java.util.Arrays;
+import java.util.List;
+import java.util.stream.Collectors;
+
+public class TestHiveAvroSerializer {
+
+ private static final String SIMPLESCHEMA = "{\"type\":\"record\",\"name\":\"h0_record\",\"namespace\":\"hoodie.h0\",\"fields\""
Review Comment:
fixed
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[GitHub] [hudi] xiarixiaoyao commented on pull request #6741: [HUDI-4898] presto/hive respect payload during merge parquet file and logfile when reading mor table
Posted by GitBox <gi...@apache.org>.
xiarixiaoyao commented on PR #6741:
URL: https://github.com/apache/hudi/pull/6741#issuecomment-1260483581
>
will fixed the CI， thanks
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[GitHub] [hudi] hudi-bot commented on pull request #6741: [HUDI-4898] presto/hive respect payload during merge parquet file and logfile when reading mor table
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on PR #6741:
URL: https://github.com/apache/hudi/pull/6741#issuecomment-1263364053
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* b068fe907a0bb21885188ec64022026e3579da5e Azure: [FAILURE](https://dev.azure.com/apache-hudi-ci-org/785b6ef4-2f42-4a89-8f0e-5f0d7039a0cc/_build/results?buildId=11923)
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[GitHub] [hudi] hudi-bot commented on pull request #6741: [HUDI-4898] presto/hive respect payload during merge parquet file and logfile when reading mor table
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on PR #6741:
URL: https://github.com/apache/hudi/pull/6741#issuecomment-1283365103
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[GitHub] [hudi] hudi-bot commented on pull request #6741: [HUDI-4898] presto/hive respect payload during merge parquet file and logfile when reading mor table
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on PR #6741:
URL: https://github.com/apache/hudi/pull/6741#issuecomment-1283469904
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[GitHub] [hudi] codope commented on a diff in pull request #6741: [HUDI-4898] presto/hive respect payload during merge parquet file and logfile when reading mor table
Posted by GitBox <gi...@apache.org>.
codope commented on code in PR #6741:
URL: https://github.com/apache/hudi/pull/6741#discussion_r982009108
##########
hudi-hadoop-mr/src/main/java/org/apache/hudi/hadoop/realtime/RealtimeCompactedRecordReader.java:
##########
@@ -81,7 +82,7 @@ private HoodieMergedLogRecordScanner getMergedLogRecordScanner() throws IOExcept
.withFileSystem(FSUtils.getFs(split.getPath().toString(), jobConf))
.withBasePath(split.getBasePath())
.withLogFilePaths(split.getDeltaLogPaths())
- .withReaderSchema(usesCustomPayload ? getWriterSchema() : getReaderSchema())
+ .withReaderSchema(getWriterSchema())
Review Comment:
why this change? here, we're saying that let's set the reader schema to be the writer schema, but then let's say `usesCustomPayload` is false and `supportPayload` is also false (due to fallback) then `buildGenericRecordwithCustomPayload` will actually want to use reader schema while calling `getInsertValue`. In case of mismatch between reader and writer schema, won't there be an error?
Should we revert this and set the schema based on conditional as it was before like below?
`.withReaderSchema(usesCustomPayload ? getWriterSchema() : getReaderSchema())`
##########
hudi-hadoop-mr/src/main/java/org/apache/hudi/hadoop/utils/HiveAvroSerializer.java:
##########
@@ -0,0 +1,400 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements. See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership. The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.hudi.hadoop.utils;
+
+import org.apache.avro.JsonProperties;
+import org.apache.avro.LogicalTypes;
+import org.apache.avro.Schema;
+import org.apache.avro.generic.GenericData;
+import org.apache.avro.generic.GenericEnumSymbol;
+import org.apache.avro.generic.GenericRecord;
+import org.apache.avro.specific.SpecificRecordBase;
+import org.apache.hadoop.hive.common.type.HiveChar;
+import org.apache.hadoop.hive.common.type.HiveDecimal;
+import org.apache.hadoop.hive.common.type.HiveVarchar;
+import org.apache.hadoop.hive.serde2.avro.AvroSerdeUtils;
+import org.apache.hadoop.hive.serde2.avro.InstanceCache;
+import org.apache.hadoop.hive.serde2.io.DateWritable;
+import org.apache.hadoop.hive.serde2.objectinspector.ListObjectInspector;
+import org.apache.hadoop.hive.serde2.objectinspector.MapObjectInspector;
+import org.apache.hadoop.hive.serde2.objectinspector.ObjectInspector;
+import org.apache.hadoop.hive.serde2.objectinspector.PrimitiveObjectInspector;
+import org.apache.hadoop.hive.serde2.objectinspector.StructField;
+import org.apache.hadoop.hive.serde2.objectinspector.StructObjectInspector;
+import org.apache.hadoop.hive.serde2.objectinspector.UnionObjectInspector;
+import org.apache.hadoop.hive.serde2.objectinspector.primitive.DateObjectInspector;
+import org.apache.hadoop.hive.serde2.objectinspector.primitive.TimestampObjectInspector;
+import org.apache.hadoop.hive.serde2.objectinspector.primitive.WritableDateObjectInspector;
+import org.apache.hadoop.hive.serde2.typeinfo.ListTypeInfo;
+import org.apache.hadoop.hive.serde2.typeinfo.MapTypeInfo;
+import org.apache.hadoop.hive.serde2.typeinfo.StructTypeInfo;
+import org.apache.hadoop.hive.serde2.typeinfo.TypeInfo;
+import org.apache.hadoop.hive.serde2.typeinfo.UnionTypeInfo;
+import org.apache.hudi.avro.HoodieAvroUtils;
+import org.apache.hudi.exception.HoodieException;
+
+import java.math.BigDecimal;
+import java.sql.Timestamp;
+import java.util.ArrayList;
+import java.util.LinkedHashMap;
+import java.util.List;
+import java.util.Map;
+import java.util.Set;
+
+import static org.apache.hudi.avro.AvroSchemaUtils.resolveUnionSchema;
+import static org.apache.hudi.avro.HoodieAvroUtils.isMetadataField;
+
+/**
+ * Helper class to serialize hive writable type to avro record.
+ */
+public class HiveAvroSerializer {
+
+ private final List<String> columnNames;
+ private final List<TypeInfo> columnTypes;
+ private final ObjectInspector objectInspector;
+
+ public HiveAvroSerializer(ObjectInspector objectInspector, List<String> columnNames, List<TypeInfo> columnTypes) {
+ this.columnNames = columnNames;
+ this.columnTypes = columnTypes;
+ this.objectInspector = objectInspector;
+ }
+
+ private static final Schema STRING_SCHEMA = Schema.create(Schema.Type.STRING);
+
+ public GenericRecord serialize(Object o, Schema schema) {
+
+ StructObjectInspector soi = (StructObjectInspector) objectInspector;
+ GenericData.Record record = new GenericData.Record(schema);
+
+ List<? extends StructField> outputFieldRefs = soi.getAllStructFieldRefs();
+ if (outputFieldRefs.size() != columnNames.size()) {
+ throw new HoodieException("Number of input columns was different than output columns (in = " + columnNames.size() + " vs out = " + outputFieldRefs.size());
+ }
+
+ int size = schema.getFields().size();
+
+ List<? extends StructField> allStructFieldRefs = soi.getAllStructFieldRefs();
+ List<Object> structFieldsDataAsList = soi.getStructFieldsDataAsList(o);
+
+ for (int i = 0; i < size; i++) {
+ Schema.Field field = schema.getFields().get(i);
+ if (i >= columnTypes.size()) {
+ break;
+ }
+ TypeInfo typeInfo = columnTypes.get(i);
+ StructField structFieldRef = allStructFieldRefs.get(i);
+ Object structFieldData = structFieldsDataAsList.get(i);
+ ObjectInspector fieldOI = structFieldRef.getFieldObjectInspector();
+ Object val = serialize(typeInfo, fieldOI, structFieldData, field.schema());
+ if (val == null) {
+ if (field.defaultVal() instanceof JsonProperties.Null) {
+ record.put(field.name(), null);
+ } else {
+ record.put(field.name(), field.defaultVal());
+ }
+ } else {
+ record.put(field.name(), val);
+ }
+ }
+ return record;
+ }
+
+ /**
+ * Determine if an Avro schema is of type Union[T, NULL]. Avro supports nullable
+ * types via a union of type T and null. This is a very common use case.
+ * As such, we want to silently convert it to just T and allow the value to be null.
+ *
+ * When a Hive union type is used with AVRO, the schema type becomes
+ * Union[NULL, T1, T2, ...]. The NULL in the union should be silently removed
+ *
+ * @return true if type represents Union[T, Null], false otherwise
+ */
+ public static boolean isNullableType(Schema schema) {
+ if (!schema.getType().equals(Schema.Type.UNION)) {
+ return false;
+ }
+
+ List<Schema> itemSchemas = schema.getTypes();
+ if (itemSchemas.size() < 2) {
+ return false;
+ }
+
+ for (Schema itemSchema : itemSchemas) {
+ if (Schema.Type.NULL.equals(itemSchema.getType())) {
+ return true;
+ }
+ }
+
+ // [null, null] not allowed, so this check is ok.
+ return false;
+ }
+
+ /**
+ * If the union schema is a nullable union, get the schema for the non-nullable type.
+ * This method does no checking that the provided Schema is nullable. If the provided
+ * union schema is non-nullable, it simply returns the union schema
+ */
+ public static Schema getOtherTypeFromNullableType(Schema unionSchema) {
+ final List<Schema> types = unionSchema.getTypes();
+ if (types.size() == 2) { // most common scenario
+ if (types.get(0).getType() == Schema.Type.NULL) {
+ return types.get(1);
+ }
+ if (types.get(1).getType() == Schema.Type.NULL) {
+ return types.get(0);
+ }
+ // not a nullable union
+ return unionSchema;
+ }
+
+ final List<Schema> itemSchemas = new ArrayList<>();
+ for (Schema itemSchema : types) {
+ if (!Schema.Type.NULL.equals(itemSchema.getType())) {
+ itemSchemas.add(itemSchema);
+ }
+ }
+
+ if (itemSchemas.size() > 1) {
+ return Schema.createUnion(itemSchemas);
+ } else {
+ return itemSchemas.get(0);
+ }
+ }
+
+ private Object serialize(TypeInfo typeInfo, ObjectInspector fieldOI, Object structFieldData, Schema schema) throws HoodieException {
+ if (null == structFieldData) {
+ return null;
+ }
+
+ if (isNullableType(schema)) {
+ schema = getOtherTypeFromNullableType(schema);
+ }
+ /* Because we use Hive's 'string' type when Avro calls for enum, we have to expressly check for enum-ness */
+ if (Schema.Type.ENUM.equals(schema.getType())) {
+ assert fieldOI instanceof PrimitiveObjectInspector;
+ return serializeEnum(typeInfo, (PrimitiveObjectInspector) fieldOI, structFieldData, schema);
+ }
+ switch (typeInfo.getCategory()) {
+ case PRIMITIVE:
+ assert fieldOI instanceof PrimitiveObjectInspector;
+ return serializePrimitive(typeInfo, (PrimitiveObjectInspector) fieldOI, structFieldData, schema);
+ case MAP:
+ assert fieldOI instanceof MapObjectInspector;
+ assert typeInfo instanceof MapTypeInfo;
+ return serializeMap((MapTypeInfo) typeInfo, (MapObjectInspector) fieldOI, structFieldData, schema);
+ case LIST:
+ assert fieldOI instanceof ListObjectInspector;
+ assert typeInfo instanceof ListTypeInfo;
+ return serializeList((ListTypeInfo) typeInfo, (ListObjectInspector) fieldOI, structFieldData, schema);
+ case UNION:
+ assert fieldOI instanceof UnionObjectInspector;
+ assert typeInfo instanceof UnionTypeInfo;
+ return serializeUnion((UnionTypeInfo) typeInfo, (UnionObjectInspector) fieldOI, structFieldData, schema);
+ case STRUCT:
+ assert fieldOI instanceof StructObjectInspector;
+ assert typeInfo instanceof StructTypeInfo;
+ return serializeStruct((StructTypeInfo) typeInfo, (StructObjectInspector) fieldOI, structFieldData, schema);
+ default:
+ throw new HoodieException("Ran out of TypeInfo Categories: " + typeInfo.getCategory());
+ }
+ }
+
+ /** private cache to avoid lots of EnumSymbol creation while serializing.
+ * Two levels because the enum symbol is specific to a schema.
+ * Object because we want to avoid the overhead of repeated toString calls while maintaining compatability.
+ * Provided there are few enum types per record, and few symbols per enum, memory use should be moderate.
+ * eg 20 types with 50 symbols each as length-10 Strings should be on the order of 100KB per AvroSerializer.
+ */
+ final InstanceCache<Schema, InstanceCache<Object, GenericEnumSymbol>> enums = new InstanceCache<Schema, InstanceCache<Object, GenericEnumSymbol>>() {
+ @Override
+ protected InstanceCache<Object, GenericEnumSymbol> makeInstance(final Schema schema,
+ Set<Schema> seenSchemas) {
+ return new InstanceCache<Object, GenericEnumSymbol>() {
+ @Override
+ protected GenericEnumSymbol makeInstance(Object seed, Set<Object> seenSchemas) {
+ return new GenericData.EnumSymbol(schema, seed.toString());
+ }
+ };
+ }
+ };
+
+ private Object serializeEnum(TypeInfo typeInfo, PrimitiveObjectInspector fieldOI, Object structFieldData, Schema schema) throws HoodieException {
+ try {
+ return enums.retrieve(schema).retrieve(serializePrimitive(typeInfo, fieldOI, structFieldData, schema));
+ } catch (Exception e) {
+ throw new HoodieException(e);
+ }
+ }
+
+ private Object serializeStruct(StructTypeInfo typeInfo, StructObjectInspector ssoi, Object o, Schema schema) {
+ int size = schema.getFields().size();
+ List<? extends StructField> allStructFieldRefs = ssoi.getAllStructFieldRefs();
+ List<Object> structFieldsDataAsList = ssoi.getStructFieldsDataAsList(o);
+ GenericData.Record record = new GenericData.Record(schema);
+ ArrayList<TypeInfo> allStructFieldTypeInfos = typeInfo.getAllStructFieldTypeInfos();
+
+ for (int i = 0; i < size; i++) {
+ Schema.Field field = schema.getFields().get(i);
+ TypeInfo colTypeInfo = allStructFieldTypeInfos.get(i);
+ StructField structFieldRef = allStructFieldRefs.get(i);
+ Object structFieldData = structFieldsDataAsList.get(i);
+ ObjectInspector fieldOI = structFieldRef.getFieldObjectInspector();
+
+ Object val = serialize(colTypeInfo, fieldOI, structFieldData, field.schema());
+ if (val == null) {
+ if (field.defaultVal() instanceof JsonProperties.Null) {
+ record.put(field.name(), null);
+ } else {
+ record.put(field.name(), field.defaultVal());
+ }
+ } else {
+ record.put(field.name(), val);
+ }
+ }
+ return record;
+ }
+
+ private Object serializePrimitive(TypeInfo typeInfo, PrimitiveObjectInspector fieldOI, Object structFieldData, Schema schema) throws HoodieException {
Review Comment:
Do we need `TypeInfo` argument for primitive type serialization? You're already getting that from the object inspector. If it is not needed, then please remove the argument.
##########
hudi-hadoop-mr/src/test/java/org/apache/hudi/hadoop/utils/TestHiveAvroSerializer.java:
##########
@@ -0,0 +1,148 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements. See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership. The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.hudi.hadoop.utils;
+
+import static org.junit.jupiter.api.Assertions.assertTrue;
+
+import org.apache.avro.LogicalTypes;
+import org.apache.avro.Schema;
+import org.apache.avro.generic.GenericData;
+import org.apache.avro.generic.GenericRecord;
+import org.apache.hadoop.hive.ql.io.parquet.serde.ArrayWritableObjectInspector;
+import org.apache.hadoop.hive.serde2.typeinfo.StructTypeInfo;
+import org.apache.hadoop.hive.serde2.typeinfo.TypeInfo;
+import org.apache.hadoop.hive.serde2.typeinfo.TypeInfoFactory;
+import org.apache.hadoop.hive.serde2.typeinfo.TypeInfoUtils;
+import org.apache.hadoop.io.ArrayWritable;
+import org.apache.hadoop.io.Writable;
+import org.apache.hudi.avro.HoodieAvroUtils;
+
+import org.junit.jupiter.api.Test;
+
+import java.math.BigDecimal;
+import java.nio.ByteBuffer;
+import java.util.ArrayList;
+import java.util.Arrays;
+import java.util.List;
+import java.util.stream.Collectors;
+
+public class TestHiveAvroSerializer {
+
+ private static final String SIMPLESCHEMA = "{\"type\":\"record\",\"name\":\"h0_record\",\"namespace\":\"hoodie.h0\",\"fields\""
+ + ":[{\"name\":\"id\",\"type\":[\"null\",\"int\"],\"default\":null},"
+ + "{\"name\":\"col1\",\"type\":[\"null\",\"long\"],\"default\":null},"
+ + "{\"name\":\"col2\",\"type\":[\"null\",\"float\"],\"default\":null},"
+ + "{\"name\":\"col3\",\"type\":[\"null\",\"double\"],\"default\":null},"
+ + "{\"name\":\"col4\",\"type\":[\"null\",{\"type\":\"fixed\",\"name\":\"fixed\",\"namespace\":\"hoodie.h0.h0_record.col4\","
+ + "\"size\":5,\"logicalType\":\"decimal\",\"precision\":10,\"scale\":4}],\"default\":null},"
+ + "{\"name\":\"col5\",\"type\":[\"null\",\"string\"],\"default\":null},"
+ + "{\"name\":\"col6\",\"type\":[\"null\",{\"type\":\"int\",\"logicalType\":\"date\"}],\"default\":null},"
+ + "{\"name\":\"col7\",\"type\":[\"null\",{\"type\":\"long\",\"logicalType\":\"timestamp-micros\"}],\"default\":null},"
+ + "{\"name\":\"col8\",\"type\":[\"null\",\"boolean\"],\"default\":null},"
+ + "{\"name\":\"col9\",\"type\":[\"null\",\"bytes\"],\"default\":null},"
+ + "{\"name\":\"par\",\"type\":[\"null\",{\"type\":\"int\",\"logicalType\":\"date\"}],\"default\":null}]}";
+ private static final String NESTSCHEMA = "{\"name\":\"MyClass\",\"type\":\"record\",\"namespace\":\"com.acme.avro\",\"fields\":["
+ + "{\"name\":\"firstname\",\"type\":\"string\"},"
+ + "{\"name\":\"lastname\",\"type\":\"string\"},"
+ + "{\"name\":\"student\",\"type\":{\"name\":\"student\",\"type\":\"record\",\"fields\":["
+ + "{\"name\":\"firstname\",\"type\":[\"null\" ,\"string\"],\"default\": null},{\"name\":\"lastname\",\"type\":[\"null\" ,\"string\"],\"default\": null}]}}]}";
+
+ @Test
+ public void testSerialize() {
+ Schema avroSchema = new Schema.Parser().parse(SIMPLESCHEMA);
+ // create a test record with avroSchema
+ GenericData.Record avroRecord = new GenericData.Record(avroSchema);
+ avroRecord.put("id", 1);
+ avroRecord.put("col1", 1000L);
+ avroRecord.put("col2", -5.001f);
+ avroRecord.put("col3", 12.999d);
+ Schema currentDecimalType = avroSchema.getField("col4").schema().getTypes().get(1);
+ BigDecimal bd = new BigDecimal("123.456").setScale(((LogicalTypes.Decimal) currentDecimalType.getLogicalType()).getScale());
+ avroRecord.put("col4", HoodieAvroUtils.DECIMAL_CONVERSION.toFixed(bd, currentDecimalType, currentDecimalType.getLogicalType()));
+ avroRecord.put("col5", "2011-01-01");
+ avroRecord.put("col6", 18987);
+ avroRecord.put("col7", 1640491505000000L);
+ avroRecord.put("col8", false);
+ ByteBuffer bb = ByteBuffer.wrap(new byte[]{97, 48, 53});
+ avroRecord.put("col9", bb);
+ assertTrue(GenericData.get().validate(avroSchema, avroRecord));
+ ArrayWritable writable = (ArrayWritable) HoodieRealtimeRecordReaderUtils.avroToArrayWritable(avroRecord, avroSchema);
+
+ List<Writable> writableList = Arrays.stream(writable.get()).collect(Collectors.toList());
+ writableList.remove(writableList.size() - 1);
+ ArrayWritable clipWritable = new ArrayWritable(writable.getValueClass(), writableList.toArray(new Writable[0]));
+
+ List<TypeInfo> columnTypeList = createHiveTypeInfoFrom("int,bigint,float,double,decimal(10,4),string,date,timestamp,boolean,binary,date");
+ List<String> columnNameList = createHiveColumnsFrom("id,col1,col2,col3,col4,col5,col6,col7,col8,col9,par");
+ StructTypeInfo rowTypeInfo = (StructTypeInfo) TypeInfoFactory.getStructTypeInfo(columnNameList, columnTypeList);
+ GenericRecord testRecord = new HiveAvroSerializer(new ArrayWritableObjectInspector(rowTypeInfo), columnNameList, columnTypeList).serialize(writable, avroSchema);
+ assertTrue(GenericData.get().validate(avroSchema, testRecord));
+ // test
+ List<TypeInfo> columnTypeListClip = createHiveTypeInfoFrom("int,bigint,float,double,decimal(10,4),string,date,timestamp,boolean,binary");
+ List<String> columnNameListClip = createHiveColumnsFrom("id,col1,col2,col3,col4,col5,col6,col7,col8,col9");
+ StructTypeInfo rowTypeInfoClip = (StructTypeInfo) TypeInfoFactory.getStructTypeInfo(columnNameListClip, columnTypeListClip);
+ GenericRecord testRecordClip = new HiveAvroSerializer(new ArrayWritableObjectInspector(rowTypeInfoClip), columnNameListClip, columnTypeListClip).serialize(clipWritable, avroSchema);
+ assertTrue(GenericData.get().validate(avroSchema, testRecordClip));
+
+ }
+
+ @Test
+ public void testNestValueSerialize() {
Review Comment:
```suggestion
public void testNestedValueSerialize() {
```
##########
hudi-hadoop-mr/src/test/java/org/apache/hudi/hadoop/utils/TestHiveAvroSerializer.java:
##########
@@ -0,0 +1,148 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements. See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership. The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.hudi.hadoop.utils;
+
+import static org.junit.jupiter.api.Assertions.assertTrue;
+
+import org.apache.avro.LogicalTypes;
+import org.apache.avro.Schema;
+import org.apache.avro.generic.GenericData;
+import org.apache.avro.generic.GenericRecord;
+import org.apache.hadoop.hive.ql.io.parquet.serde.ArrayWritableObjectInspector;
+import org.apache.hadoop.hive.serde2.typeinfo.StructTypeInfo;
+import org.apache.hadoop.hive.serde2.typeinfo.TypeInfo;
+import org.apache.hadoop.hive.serde2.typeinfo.TypeInfoFactory;
+import org.apache.hadoop.hive.serde2.typeinfo.TypeInfoUtils;
+import org.apache.hadoop.io.ArrayWritable;
+import org.apache.hadoop.io.Writable;
+import org.apache.hudi.avro.HoodieAvroUtils;
+
+import org.junit.jupiter.api.Test;
+
+import java.math.BigDecimal;
+import java.nio.ByteBuffer;
+import java.util.ArrayList;
+import java.util.Arrays;
+import java.util.List;
+import java.util.stream.Collectors;
+
+public class TestHiveAvroSerializer {
+
+ private static final String SIMPLESCHEMA = "{\"type\":\"record\",\"name\":\"h0_record\",\"namespace\":\"hoodie.h0\",\"fields\""
+ + ":[{\"name\":\"id\",\"type\":[\"null\",\"int\"],\"default\":null},"
+ + "{\"name\":\"col1\",\"type\":[\"null\",\"long\"],\"default\":null},"
+ + "{\"name\":\"col2\",\"type\":[\"null\",\"float\"],\"default\":null},"
+ + "{\"name\":\"col3\",\"type\":[\"null\",\"double\"],\"default\":null},"
+ + "{\"name\":\"col4\",\"type\":[\"null\",{\"type\":\"fixed\",\"name\":\"fixed\",\"namespace\":\"hoodie.h0.h0_record.col4\","
+ + "\"size\":5,\"logicalType\":\"decimal\",\"precision\":10,\"scale\":4}],\"default\":null},"
+ + "{\"name\":\"col5\",\"type\":[\"null\",\"string\"],\"default\":null},"
+ + "{\"name\":\"col6\",\"type\":[\"null\",{\"type\":\"int\",\"logicalType\":\"date\"}],\"default\":null},"
+ + "{\"name\":\"col7\",\"type\":[\"null\",{\"type\":\"long\",\"logicalType\":\"timestamp-micros\"}],\"default\":null},"
+ + "{\"name\":\"col8\",\"type\":[\"null\",\"boolean\"],\"default\":null},"
+ + "{\"name\":\"col9\",\"type\":[\"null\",\"bytes\"],\"default\":null},"
+ + "{\"name\":\"par\",\"type\":[\"null\",{\"type\":\"int\",\"logicalType\":\"date\"}],\"default\":null}]}";
+ private static final String NESTSCHEMA = "{\"name\":\"MyClass\",\"type\":\"record\",\"namespace\":\"com.acme.avro\",\"fields\":["
Review Comment:
```suggestion
private static final String NESTED_SCHEMA = "{\"name\":\"MyClass\",\"type\":\"record\",\"namespace\":\"com.acme.avro\",\"fields\":["
```
##########
hudi-hadoop-mr/src/main/java/org/apache/hudi/hadoop/utils/HiveAvroSerializer.java:
##########
@@ -0,0 +1,400 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements. See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership. The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.hudi.hadoop.utils;
+
+import org.apache.avro.JsonProperties;
+import org.apache.avro.LogicalTypes;
+import org.apache.avro.Schema;
+import org.apache.avro.generic.GenericData;
+import org.apache.avro.generic.GenericEnumSymbol;
+import org.apache.avro.generic.GenericRecord;
+import org.apache.avro.specific.SpecificRecordBase;
+import org.apache.hadoop.hive.common.type.HiveChar;
+import org.apache.hadoop.hive.common.type.HiveDecimal;
+import org.apache.hadoop.hive.common.type.HiveVarchar;
+import org.apache.hadoop.hive.serde2.avro.AvroSerdeUtils;
+import org.apache.hadoop.hive.serde2.avro.InstanceCache;
+import org.apache.hadoop.hive.serde2.io.DateWritable;
+import org.apache.hadoop.hive.serde2.objectinspector.ListObjectInspector;
+import org.apache.hadoop.hive.serde2.objectinspector.MapObjectInspector;
+import org.apache.hadoop.hive.serde2.objectinspector.ObjectInspector;
+import org.apache.hadoop.hive.serde2.objectinspector.PrimitiveObjectInspector;
+import org.apache.hadoop.hive.serde2.objectinspector.StructField;
+import org.apache.hadoop.hive.serde2.objectinspector.StructObjectInspector;
+import org.apache.hadoop.hive.serde2.objectinspector.UnionObjectInspector;
+import org.apache.hadoop.hive.serde2.objectinspector.primitive.DateObjectInspector;
+import org.apache.hadoop.hive.serde2.objectinspector.primitive.TimestampObjectInspector;
+import org.apache.hadoop.hive.serde2.objectinspector.primitive.WritableDateObjectInspector;
+import org.apache.hadoop.hive.serde2.typeinfo.ListTypeInfo;
+import org.apache.hadoop.hive.serde2.typeinfo.MapTypeInfo;
+import org.apache.hadoop.hive.serde2.typeinfo.StructTypeInfo;
+import org.apache.hadoop.hive.serde2.typeinfo.TypeInfo;
+import org.apache.hadoop.hive.serde2.typeinfo.UnionTypeInfo;
+import org.apache.hudi.avro.HoodieAvroUtils;
+import org.apache.hudi.exception.HoodieException;
+
+import java.math.BigDecimal;
+import java.sql.Timestamp;
+import java.util.ArrayList;
+import java.util.LinkedHashMap;
+import java.util.List;
+import java.util.Map;
+import java.util.Set;
+
+import static org.apache.hudi.avro.AvroSchemaUtils.resolveUnionSchema;
+import static org.apache.hudi.avro.HoodieAvroUtils.isMetadataField;
+
+/**
+ * Helper class to serialize hive writable type to avro record.
+ */
+public class HiveAvroSerializer {
+
+ private final List<String> columnNames;
+ private final List<TypeInfo> columnTypes;
+ private final ObjectInspector objectInspector;
+
+ public HiveAvroSerializer(ObjectInspector objectInspector, List<String> columnNames, List<TypeInfo> columnTypes) {
+ this.columnNames = columnNames;
+ this.columnTypes = columnTypes;
+ this.objectInspector = objectInspector;
+ }
+
+ private static final Schema STRING_SCHEMA = Schema.create(Schema.Type.STRING);
+
+ public GenericRecord serialize(Object o, Schema schema) {
+
+ StructObjectInspector soi = (StructObjectInspector) objectInspector;
+ GenericData.Record record = new GenericData.Record(schema);
+
+ List<? extends StructField> outputFieldRefs = soi.getAllStructFieldRefs();
+ if (outputFieldRefs.size() != columnNames.size()) {
+ throw new HoodieException("Number of input columns was different than output columns (in = " + columnNames.size() + " vs out = " + outputFieldRefs.size());
+ }
+
+ int size = schema.getFields().size();
+
+ List<? extends StructField> allStructFieldRefs = soi.getAllStructFieldRefs();
+ List<Object> structFieldsDataAsList = soi.getStructFieldsDataAsList(o);
+
+ for (int i = 0; i < size; i++) {
+ Schema.Field field = schema.getFields().get(i);
+ if (i >= columnTypes.size()) {
+ break;
+ }
+ TypeInfo typeInfo = columnTypes.get(i);
+ StructField structFieldRef = allStructFieldRefs.get(i);
+ Object structFieldData = structFieldsDataAsList.get(i);
+ ObjectInspector fieldOI = structFieldRef.getFieldObjectInspector();
+ Object val = serialize(typeInfo, fieldOI, structFieldData, field.schema());
+ if (val == null) {
+ if (field.defaultVal() instanceof JsonProperties.Null) {
+ record.put(field.name(), null);
+ } else {
+ record.put(field.name(), field.defaultVal());
+ }
+ } else {
+ record.put(field.name(), val);
+ }
+ }
+ return record;
+ }
+
+ /**
+ * Determine if an Avro schema is of type Union[T, NULL]. Avro supports nullable
+ * types via a union of type T and null. This is a very common use case.
+ * As such, we want to silently convert it to just T and allow the value to be null.
+ *
+ * When a Hive union type is used with AVRO, the schema type becomes
+ * Union[NULL, T1, T2, ...]. The NULL in the union should be silently removed
+ *
+ * @return true if type represents Union[T, Null], false otherwise
+ */
+ public static boolean isNullableType(Schema schema) {
+ if (!schema.getType().equals(Schema.Type.UNION)) {
+ return false;
+ }
+
+ List<Schema> itemSchemas = schema.getTypes();
+ if (itemSchemas.size() < 2) {
+ return false;
+ }
+
+ for (Schema itemSchema : itemSchemas) {
+ if (Schema.Type.NULL.equals(itemSchema.getType())) {
+ return true;
+ }
+ }
+
+ // [null, null] not allowed, so this check is ok.
+ return false;
+ }
+
+ /**
+ * If the union schema is a nullable union, get the schema for the non-nullable type.
+ * This method does no checking that the provided Schema is nullable. If the provided
+ * union schema is non-nullable, it simply returns the union schema
+ */
+ public static Schema getOtherTypeFromNullableType(Schema unionSchema) {
+ final List<Schema> types = unionSchema.getTypes();
+ if (types.size() == 2) { // most common scenario
+ if (types.get(0).getType() == Schema.Type.NULL) {
+ return types.get(1);
+ }
+ if (types.get(1).getType() == Schema.Type.NULL) {
+ return types.get(0);
+ }
+ // not a nullable union
+ return unionSchema;
+ }
+
+ final List<Schema> itemSchemas = new ArrayList<>();
+ for (Schema itemSchema : types) {
+ if (!Schema.Type.NULL.equals(itemSchema.getType())) {
+ itemSchemas.add(itemSchema);
+ }
+ }
+
+ if (itemSchemas.size() > 1) {
+ return Schema.createUnion(itemSchemas);
+ } else {
+ return itemSchemas.get(0);
+ }
+ }
+
+ private Object serialize(TypeInfo typeInfo, ObjectInspector fieldOI, Object structFieldData, Schema schema) throws HoodieException {
+ if (null == structFieldData) {
+ return null;
+ }
+
+ if (isNullableType(schema)) {
+ schema = getOtherTypeFromNullableType(schema);
+ }
+ /* Because we use Hive's 'string' type when Avro calls for enum, we have to expressly check for enum-ness */
+ if (Schema.Type.ENUM.equals(schema.getType())) {
+ assert fieldOI instanceof PrimitiveObjectInspector;
+ return serializeEnum(typeInfo, (PrimitiveObjectInspector) fieldOI, structFieldData, schema);
+ }
+ switch (typeInfo.getCategory()) {
+ case PRIMITIVE:
+ assert fieldOI instanceof PrimitiveObjectInspector;
+ return serializePrimitive(typeInfo, (PrimitiveObjectInspector) fieldOI, structFieldData, schema);
+ case MAP:
+ assert fieldOI instanceof MapObjectInspector;
+ assert typeInfo instanceof MapTypeInfo;
+ return serializeMap((MapTypeInfo) typeInfo, (MapObjectInspector) fieldOI, structFieldData, schema);
+ case LIST:
+ assert fieldOI instanceof ListObjectInspector;
+ assert typeInfo instanceof ListTypeInfo;
+ return serializeList((ListTypeInfo) typeInfo, (ListObjectInspector) fieldOI, structFieldData, schema);
+ case UNION:
+ assert fieldOI instanceof UnionObjectInspector;
+ assert typeInfo instanceof UnionTypeInfo;
+ return serializeUnion((UnionTypeInfo) typeInfo, (UnionObjectInspector) fieldOI, structFieldData, schema);
+ case STRUCT:
+ assert fieldOI instanceof StructObjectInspector;
+ assert typeInfo instanceof StructTypeInfo;
+ return serializeStruct((StructTypeInfo) typeInfo, (StructObjectInspector) fieldOI, structFieldData, schema);
+ default:
+ throw new HoodieException("Ran out of TypeInfo Categories: " + typeInfo.getCategory());
+ }
+ }
+
+ /** private cache to avoid lots of EnumSymbol creation while serializing.
+ * Two levels because the enum symbol is specific to a schema.
+ * Object because we want to avoid the overhead of repeated toString calls while maintaining compatability.
+ * Provided there are few enum types per record, and few symbols per enum, memory use should be moderate.
+ * eg 20 types with 50 symbols each as length-10 Strings should be on the order of 100KB per AvroSerializer.
+ */
+ final InstanceCache<Schema, InstanceCache<Object, GenericEnumSymbol>> enums = new InstanceCache<Schema, InstanceCache<Object, GenericEnumSymbol>>() {
+ @Override
+ protected InstanceCache<Object, GenericEnumSymbol> makeInstance(final Schema schema,
+ Set<Schema> seenSchemas) {
+ return new InstanceCache<Object, GenericEnumSymbol>() {
+ @Override
+ protected GenericEnumSymbol makeInstance(Object seed, Set<Object> seenSchemas) {
+ return new GenericData.EnumSymbol(schema, seed.toString());
+ }
+ };
+ }
+ };
+
+ private Object serializeEnum(TypeInfo typeInfo, PrimitiveObjectInspector fieldOI, Object structFieldData, Schema schema) throws HoodieException {
+ try {
+ return enums.retrieve(schema).retrieve(serializePrimitive(typeInfo, fieldOI, structFieldData, schema));
+ } catch (Exception e) {
+ throw new HoodieException(e);
+ }
+ }
+
+ private Object serializeStruct(StructTypeInfo typeInfo, StructObjectInspector ssoi, Object o, Schema schema) {
+ int size = schema.getFields().size();
+ List<? extends StructField> allStructFieldRefs = ssoi.getAllStructFieldRefs();
+ List<Object> structFieldsDataAsList = ssoi.getStructFieldsDataAsList(o);
+ GenericData.Record record = new GenericData.Record(schema);
+ ArrayList<TypeInfo> allStructFieldTypeInfos = typeInfo.getAllStructFieldTypeInfos();
+
+ for (int i = 0; i < size; i++) {
+ Schema.Field field = schema.getFields().get(i);
+ TypeInfo colTypeInfo = allStructFieldTypeInfos.get(i);
+ StructField structFieldRef = allStructFieldRefs.get(i);
+ Object structFieldData = structFieldsDataAsList.get(i);
+ ObjectInspector fieldOI = structFieldRef.getFieldObjectInspector();
+
+ Object val = serialize(colTypeInfo, fieldOI, structFieldData, field.schema());
+ if (val == null) {
+ if (field.defaultVal() instanceof JsonProperties.Null) {
+ record.put(field.name(), null);
+ } else {
+ record.put(field.name(), field.defaultVal());
+ }
+ } else {
+ record.put(field.name(), val);
+ }
Review Comment:
Looks like a duplicate code fragment.. same as in `serialize` method above. Let's extract to a separate method and reuse?
##########
hudi-hadoop-mr/src/test/java/org/apache/hudi/hadoop/utils/TestHiveAvroSerializer.java:
##########
@@ -0,0 +1,148 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements. See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership. The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.hudi.hadoop.utils;
+
+import static org.junit.jupiter.api.Assertions.assertTrue;
+
+import org.apache.avro.LogicalTypes;
+import org.apache.avro.Schema;
+import org.apache.avro.generic.GenericData;
+import org.apache.avro.generic.GenericRecord;
+import org.apache.hadoop.hive.ql.io.parquet.serde.ArrayWritableObjectInspector;
+import org.apache.hadoop.hive.serde2.typeinfo.StructTypeInfo;
+import org.apache.hadoop.hive.serde2.typeinfo.TypeInfo;
+import org.apache.hadoop.hive.serde2.typeinfo.TypeInfoFactory;
+import org.apache.hadoop.hive.serde2.typeinfo.TypeInfoUtils;
+import org.apache.hadoop.io.ArrayWritable;
+import org.apache.hadoop.io.Writable;
+import org.apache.hudi.avro.HoodieAvroUtils;
+
+import org.junit.jupiter.api.Test;
+
+import java.math.BigDecimal;
+import java.nio.ByteBuffer;
+import java.util.ArrayList;
+import java.util.Arrays;
+import java.util.List;
+import java.util.stream.Collectors;
+
+public class TestHiveAvroSerializer {
+
+ private static final String SIMPLESCHEMA = "{\"type\":\"record\",\"name\":\"h0_record\",\"namespace\":\"hoodie.h0\",\"fields\""
Review Comment:
```suggestion
private static final String SIMPLE_SCHEMA = "{\"type\":\"record\",\"name\":\"h0_record\",\"namespace\":\"hoodie.h0\",\"fields\""
```
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[GitHub] [hudi] codope commented on a diff in pull request #6741: [HUDI-4898] presto/hive respect payload during merge parquet file and logfile when reading mor table
Posted by GitBox <gi...@apache.org>.
codope commented on code in PR #6741:
URL: https://github.com/apache/hudi/pull/6741#discussion_r983062641
##########
hudi-hadoop-mr/src/main/java/org/apache/hudi/hadoop/realtime/AbstractRealtimeRecordReader.java:
##########
@@ -95,7 +97,7 @@ private boolean usesCustomPayload(HoodieTableMetaClient metaClient) {
private void prepareHiveAvroSerializer() {
try {
- List<String> hiveInternalColumns = Arrays.asList(new String[] {"BLOCK__OFFSET__INSIDE__FILE", "INPUT__FILE__NAME", "ROW__ID"});
+ Set<String> hiveInternalColumns = new HashSet(Arrays.asList(new String[] {"BLOCK__OFFSET__INSIDE__FILE", "INPUT__FILE__NAME", "ROW__ID"}));
Review Comment:
I see there are more internal columns https://cwiki.apache.org/confluence/display/hive/languagemanual+virtualcolumns
Also, this could change per Hive version (though not very frequently). How do we plan to maintain it?
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[GitHub] [hudi] xiarixiaoyao commented on pull request #6741: [HUDI-4898] presto/hive respect payload during merge parquet file and logfile when reading mor table
Posted by GitBox <gi...@apache.org>.
xiarixiaoyao commented on PR #6741:
URL: https://github.com/apache/hudi/pull/6741#issuecomment-1262994330
@hudi-bot run azure
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[GitHub] [hudi] hudi-bot commented on pull request #6741: [HUDI-4898] presto/hive respect payload during merge parquet file and logfile when reading mor table
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on PR #6741:
URL: https://github.com/apache/hudi/pull/6741#issuecomment-1283369322
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[GitHub] [hudi] hudi-bot commented on pull request #6741: [HUDI-4898] presto/hive respect payload during merge parquet file and logfile when reading mor table
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on PR #6741:
URL: https://github.com/apache/hudi/pull/6741#issuecomment-1283833661
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[GitHub] [hudi] hudi-bot commented on pull request #6741: [HUDI-4898] presto/hive respect payload during merge parquet file and logfile when reading mor table
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on PR #6741:
URL: https://github.com/apache/hudi/pull/6741#issuecomment-1254919333
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* e06342d220821ddc30edeaa35e9a80cdd8c560e7 Azure: [FAILURE](https://dev.azure.com/apache-hudi-ci-org/785b6ef4-2f42-4a89-8f0e-5f0d7039a0cc/_build/results?buildId=11576)
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[GitHub] [hudi] hudi-bot commented on pull request #6741: [HUDI-4898] presto/hive respect payload during merge parquet file and logfile when reading mor table
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on PR #6741:
URL: https://github.com/apache/hudi/pull/6741#issuecomment-1256415047
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[GitHub] [hudi] nsivabalan commented on pull request #6741: [HUDI-4898] presto/hive respect payload during merge parquet file and logfile when reading mor table
Posted by GitBox <gi...@apache.org>.
nsivabalan commented on PR #6741:
URL: https://github.com/apache/hudi/pull/6741#issuecomment-1256410113
cancelling all azure CI runs for now to investigate CI flakiness. will retrigger build once we are in stable state. sorry about the inconvenience.
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[GitHub] [hudi] hudi-bot commented on pull request #6741: [HUDI-4898] presto/hive respect payload during merge parquet file and logfile when reading mor table
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on PR #6741:
URL: https://github.com/apache/hudi/pull/6741#issuecomment-1272282682
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[GitHub] [hudi] hudi-bot commented on pull request #6741: [HUDI-4898] presto/hive respect payload during merge parquet file and logfile when reading mor table
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on PR #6741:
URL: https://github.com/apache/hudi/pull/6741#issuecomment-1272327704
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[GitHub] [hudi] hudi-bot commented on pull request #6741: [HUDI-4898] presto/hive respect payload during merge parquet file and logfile when reading mor table
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on PR #6741:
URL: https://github.com/apache/hudi/pull/6741#issuecomment-1258971788
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[GitHub] [hudi] xiarixiaoyao commented on pull request #6741: [HUDI-4898] presto/hive respect payload during merge parquet file and logfile when reading mor table
Posted by GitBox <gi...@apache.org>.
xiarixiaoyao commented on PR #6741:
URL: https://github.com/apache/hudi/pull/6741#issuecomment-1259086952
@codope @danny0405 @xushiyan @XuQianJin-Stars could you pls help me review this pr, thanks. the UT failed has nothing to do with this pr
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