bhasudha commented on a change in pull request #1817:
URL: https://github.com/apache/hudi/pull/1817#discussion_r453132014
##########
File path:
hudi-hadoop-mr/src/main/java/org/apache/hudi/hadoop/realtime/HoodieParquetRealtimeInputFormat.java
##########
@@ -62,16 +81,93 @@
@Override
public InputSplit[] getSplits(JobConf job, int numSplits) throws IOException
{
+ // is this an incremental query
+ List<String> incrementalTables =
getIncrementalTableNames(Job.getInstance(job));
+ if (!incrementalTables.isEmpty()) {
+ //TODO For now assuming the query can be either incremental or snapshot
and NOT both.
+ return getSplitsForIncrementalQueries(job, incrementalTables);
+ }
+
Stream<FileSplit> fileSplits = Arrays.stream(super.getSplits(job,
numSplits)).map(is -> (FileSplit) is);
return HoodieRealtimeInputFormatUtils.getRealtimeSplits(job, fileSplits);
}
- @Override
- public FileStatus[] listStatus(JobConf job) throws IOException {
- // Call the HoodieInputFormat::listStatus to obtain all latest parquet
files, based on commit
- // timeline.
- return super.listStatus(job);
+ protected InputSplit[] getSplitsForIncrementalQueries(JobConf job,
List<String> incrementalTables) throws IOException {
+ InputPathHandler inputPathHandler = new InputPathHandler(conf,
getInputPaths(job), incrementalTables);
+ Map<String, HoodieTableMetaClient> tableMetaClientMap =
inputPathHandler.getTableMetaClientMap();
+ List<InputSplit> splits = new ArrayList<>();
+
+ for (String table : incrementalTables) {
+ HoodieTableMetaClient metaClient = tableMetaClientMap.get(table);
+ if (metaClient == null) {
+ /* This can happen when the INCREMENTAL mode is set for a table but
there were no InputPaths
+ * in the jobConf
+ */
+ continue;
+ }
+ String tableName = metaClient.getTableConfig().getTableName();
+ Path basePath = new Path(metaClient.getBasePath());
+ HoodieTimeline timeline =
metaClient.getActiveTimeline().getCommitsTimeline().filterCompletedInstants();
+ String lastIncrementalTs =
HoodieHiveUtils.readStartCommitTime(Job.getInstance(job), tableName);
+ // Total number of commits to return in this batch. Set this to -1 to
get all the commits.
+ Integer maxCommits =
HoodieHiveUtils.readMaxCommits(Job.getInstance(job), tableName);
+ LOG.info("Last Incremental timestamp for table: " + table + ", was set
as " + lastIncrementalTs);
+ List<HoodieInstant> commitsToCheck =
timeline.findInstantsAfter(lastIncrementalTs, maxCommits)
+ .getInstants().collect(Collectors.toList());
+
+ Map<String, List<FileStatus>> partitionToFileStatusesMap =
listStatusForAffectedPartitions(basePath, commitsToCheck, timeline);
+
+ List<FileStatus> fileStatuses = new ArrayList<>();
+ for (List<FileStatus> statuses: partitionToFileStatusesMap.values()) {
+ fileStatuses.addAll(statuses);
+ }
+ LOG.info("Stats after applying Hudi incremental filter:
total_commits_to_check: " + commitsToCheck.size()
+ + ", total_partitions_touched: " + partitionToFileStatusesMap.size()
+ ", total_files_processed: "
+ + fileStatuses.size());
+ FileStatus[] statuses = fileStatuses.toArray(new FileStatus[0]);
+ List<String> commitsList =
commitsToCheck.stream().map(HoodieInstant::getTimestamp).collect(Collectors.toList());
+ HoodieTableFileSystemView fsView = new
HoodieTableFileSystemView(metaClient, timeline, statuses);
+
+ // Iterate partitions to create splits
+ partitionToFileStatusesMap.keySet().forEach(path -> {
+ // create an Incremental Split for each file group.
+ fsView.getAllFileGroups(path)
+ .forEach(
+ fileGroup -> splits.add(
+ new HoodieMORIncrementalFileSplit(fileGroup,
basePath.toString(), commitsList.get(commitsList.size() - 1))
+ ));
+ });
+ }
+ Log.info("Total splits generated: " + splits.size());
+ return splits.toArray(new InputSplit[0]);
+ }
+
+ private Map<String, List<FileStatus>> listStatusForAffectedPartitions(
+ Path basePath, List<HoodieInstant> commitsToCheck, HoodieTimeline
timeline) throws IOException {
+ // Extract files touched by these commits.
+ // TODO This might need to be done in parallel like listStatus parallelism
?
Review comment:
There is scope for parallelized listing here. But should not be a
blocker immediately.
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