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https://issues.apache.org/jira/browse/HUDI-2107?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17375408#comment-17375408
]
ASF GitHub Bot commented on HUDI-2107:
--------------------------------------
pengzhiwei2018 commented on a change in pull request #3193:
URL: https://github.com/apache/hudi/pull/3193#discussion_r664402382
##########
File path:
hudi-hadoop-mr/src/main/java/org/apache/hudi/hadoop/utils/HoodieRealtimeInputFormatUtils.java
##########
@@ -161,29 +162,21 @@
.map(instant ->
fsView.getLatestMergedFileSlicesBeforeOrOn(relPartitionPath,
instant.getTimestamp()))
.orElse(Stream.empty());
- // subgroup splits again by file id & match with log files.
- Map<String, List<HoodieBaseFile>> groupedInputSplits =
partitionsToParquetSplits.get(partitionPath).stream()
- .collect(Collectors.groupingBy(file ->
FSUtils.getFileId(file.getFileStatus().getPath().getName())));
latestFileSlices.forEach(fileSlice -> {
- List<HoodieBaseFile> dataFileSplits =
groupedInputSplits.get(fileSlice.getFileId());
- dataFileSplits.forEach(split -> {
- try {
- List<String> logFilePaths =
fileSlice.getLogFiles().sorted(HoodieLogFile.getLogFileComparator())
+ List<String> logFilePaths =
fileSlice.getLogFiles().sorted(HoodieLogFile.getLogFileComparator())
.map(logFile ->
logFile.getPath().toString()).collect(Collectors.toList());
- resultMap.put(split, logFilePaths);
- } catch (Exception e) {
- throw new HoodieException("Error creating hoodie real time split
", e);
- }
- });
+ baseAndLogsList.add(Pair.of(fileSlice.getBaseFile(), logFilePaths));
});
} catch (Exception e) {
throw new HoodieException("Error obtaining data file/log file
grouping: " + partitionPath, e);
}
});
- return resultMap;
+ return baseAndLogsList;
}
+
+
Review comment:
done
##########
File path:
hudi-spark-datasource/hudi-spark/src/main/scala/org/apache/hudi/MergeOnReadSnapshotRelation.scala
##########
@@ -137,11 +136,14 @@ class MergeOnReadSnapshotRelation(val sqlContext:
SQLContext,
}
def buildFileIndex(filters: Array[Filter]): List[HoodieMergeOnReadFileSplit]
= {
-
- val fileStatuses = if (globPaths.isDefined) {
+ // Get all partition paths
+ val partitionPaths = if (globPaths.isDefined) {
// Load files from the global paths if it has defined to be compatible
with the original mode
val inMemoryFileIndex =
HoodieSparkUtils.createInMemoryFileIndex(sqlContext.sparkSession, globPaths.get)
- inMemoryFileIndex.allFiles()
+ val fsView = new HoodieTableFileSystemView(metaClient,
+ metaClient.getActiveTimeline.getCommitsTimeline
+ .filterCompletedInstants, inMemoryFileIndex.allFiles().toArray)
+
fsView.getLatestBaseFiles.iterator().asScala.toList.map(_.getFileStatus.getPath.getParent)
Review comment:
Yes, currently I have not support reading-log only table for the
`globPaths` query which users must specify some `*` in the query path and the
partition prune is also not work.
In the long way, we should recommend the non-globalPath query which use
the `HoodieFileIndex` to list files and partitions. User do not need to specify
the `*` in the query path and can also have better performance from the
partition prune and meta table list.
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> Support Read Log Only MOR Table For Spark
> -----------------------------------------
>
> Key: HUDI-2107
> URL: https://issues.apache.org/jira/browse/HUDI-2107
> Project: Apache Hudi
> Issue Type: Bug
> Components: Spark Integration
> Reporter: pengzhiwei
> Assignee: pengzhiwei
> Priority: Major
> Labels: pull-request-available
> Fix For: 0.9.0
>
>
> Currently we cannot support read log-only mor table(which is generated by
> index like InMemeoryIndex, HbaseIndex and FlinkIndex which support indexing
> log file) for spark.
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