public static void ensurePaths(HadoopDruidIndexerConfig config) {
// config.addInputPaths() can have side-effects ( boo! :( ), so this stuff needs to be done
// before anything else
try {
Job job =
Job.getInstance(
new Configuration(),
String.format(
"%s-determine_partitions-%s", config.getDataSource(), config.getIntervals()));
job.getConfiguration().set("io.sort.record.percent", "0.19");
injectSystemProperties(job);
config.addInputPaths(job);
} catch (IOException e) {
throw Throwables.propagate(e);
}
}
public boolean run() {
try {
/*
* Group by (timestamp, dimensions) so we can correctly count dimension values as they would appear
* in the final segment.
*/
if (!(config.getPartitionsSpec() instanceof SingleDimensionPartitionsSpec)) {
throw new ISE(
"DeterminePartitionsJob can only be run for SingleDimensionPartitionsSpec, partitionSpec found [%s]",
config.getPartitionsSpec());
}
if (!config.getPartitionsSpec().isAssumeGrouped()) {
final Job groupByJob =
Job.getInstance(
new Configuration(),
String.format(
"%s-determine_partitions_groupby-%s",
config.getDataSource(), config.getIntervals()));
JobHelper.injectSystemProperties(groupByJob);
config.addJobProperties(groupByJob);
groupByJob.setMapperClass(DeterminePartitionsGroupByMapper.class);
groupByJob.setMapOutputKeyClass(BytesWritable.class);
groupByJob.setMapOutputValueClass(NullWritable.class);
groupByJob.setCombinerClass(DeterminePartitionsGroupByReducer.class);
groupByJob.setReducerClass(DeterminePartitionsGroupByReducer.class);
groupByJob.setOutputKeyClass(BytesWritable.class);
groupByJob.setOutputValueClass(NullWritable.class);
groupByJob.setOutputFormatClass(SequenceFileOutputFormat.class);
JobHelper.setupClasspath(
JobHelper.distributedClassPath(config.getWorkingPath()),
JobHelper.distributedClassPath(config.makeIntermediatePath()),
groupByJob);
config.addInputPaths(groupByJob);
config.intoConfiguration(groupByJob);
FileOutputFormat.setOutputPath(groupByJob, config.makeGroupedDataDir());
groupByJob.submit();
log.info(
"Job %s submitted, status available at: %s",
groupByJob.getJobName(), groupByJob.getTrackingURL());
if (!groupByJob.waitForCompletion(true)) {
log.error("Job failed: %s", groupByJob.getJobID());
return false;
}
} else {
log.info("Skipping group-by job.");
}
/*
* Read grouped data and determine appropriate partitions.
*/
final Job dimSelectionJob =
Job.getInstance(
new Configuration(),
String.format(
"%s-determine_partitions_dimselection-%s",
config.getDataSource(), config.getIntervals()));
dimSelectionJob.getConfiguration().set("io.sort.record.percent", "0.19");
JobHelper.injectSystemProperties(dimSelectionJob);
config.addJobProperties(dimSelectionJob);
if (!config.getPartitionsSpec().isAssumeGrouped()) {
// Read grouped data from the groupByJob.
dimSelectionJob.setMapperClass(DeterminePartitionsDimSelectionPostGroupByMapper.class);
dimSelectionJob.setInputFormatClass(SequenceFileInputFormat.class);
FileInputFormat.addInputPath(dimSelectionJob, config.makeGroupedDataDir());
} else {
// Directly read the source data, since we assume it's already grouped.
dimSelectionJob.setMapperClass(DeterminePartitionsDimSelectionAssumeGroupedMapper.class);
config.addInputPaths(dimSelectionJob);
}
SortableBytes.useSortableBytesAsMapOutputKey(dimSelectionJob);
dimSelectionJob.setMapOutputValueClass(Text.class);
dimSelectionJob.setCombinerClass(DeterminePartitionsDimSelectionCombiner.class);
dimSelectionJob.setReducerClass(DeterminePartitionsDimSelectionReducer.class);
dimSelectionJob.setOutputKeyClass(BytesWritable.class);
dimSelectionJob.setOutputValueClass(Text.class);
dimSelectionJob.setOutputFormatClass(DeterminePartitionsDimSelectionOutputFormat.class);
dimSelectionJob.setPartitionerClass(DeterminePartitionsDimSelectionPartitioner.class);
dimSelectionJob.setNumReduceTasks(config.getGranularitySpec().bucketIntervals().get().size());
JobHelper.setupClasspath(
JobHelper.distributedClassPath(config.getWorkingPath()),
JobHelper.distributedClassPath(config.makeIntermediatePath()),
dimSelectionJob);
config.intoConfiguration(dimSelectionJob);
FileOutputFormat.setOutputPath(dimSelectionJob, config.makeIntermediatePath());
dimSelectionJob.submit();
log.info(
"Job %s submitted, status available at: %s",
dimSelectionJob.getJobName(), dimSelectionJob.getTrackingURL());
if (!dimSelectionJob.waitForCompletion(true)) {
log.error("Job failed: %s", dimSelectionJob.getJobID().toString());
return false;
}
/*
* Load partitions determined by the previous job.
*/
log.info(
"Job completed, loading up partitions for intervals[%s].",
config.getSegmentGranularIntervals());
FileSystem fileSystem = null;
Map<DateTime, List<HadoopyShardSpec>> shardSpecs =
Maps.newTreeMap(DateTimeComparator.getInstance());
int shardCount = 0;
for (Interval segmentGranularity : config.getSegmentGranularIntervals().get()) {
final Path partitionInfoPath = config.makeSegmentPartitionInfoPath(segmentGranularity);
if (fileSystem == null) {
fileSystem = partitionInfoPath.getFileSystem(dimSelectionJob.getConfiguration());
}
if (Utils.exists(dimSelectionJob, fileSystem, partitionInfoPath)) {
List<ShardSpec> specs =
config.JSON_MAPPER.readValue(
Utils.openInputStream(dimSelectionJob, partitionInfoPath),
new TypeReference<List<ShardSpec>>() {});
List<HadoopyShardSpec> actualSpecs = Lists.newArrayListWithExpectedSize(specs.size());
for (int i = 0; i < specs.size(); ++i) {
actualSpecs.add(new HadoopyShardSpec(specs.get(i), shardCount++));
log.info(
"DateTime[%s], partition[%d], spec[%s]", segmentGranularity, i, actualSpecs.get(i));
}
shardSpecs.put(segmentGranularity.getStart(), actualSpecs);
} else {
log.info("Path[%s] didn't exist!?", partitionInfoPath);
}
}
config.setShardSpecs(shardSpecs);
return true;
} catch (Exception e) {
throw Throwables.propagate(e);
}
}
