[ML] Fix query of all buckets with expand=true (elastic/x-pack-elasticsearch#932)
Previously if you queried all buckets with the expand=true option you'd get an error as the code would try to do a search with from=10000&size=10000. This PR fixes this problem. Followup for elastic/x-pack-elasticsearch#832 Original commit: elastic/x-pack-elasticsearch@2a5ca0998c
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@ -458,14 +458,14 @@ public class JobProvider {
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if (query.isExpand()) {
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Iterator<Bucket> bucketsToExpand = buckets.results().stream()
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.filter(bucket -> bucket.getRecordCount() > 0).iterator();
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expandBuckets(jobId, query, buckets, bucketsToExpand, 0, handler, errorHandler, client);
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expandBuckets(jobId, query, buckets, bucketsToExpand, handler, errorHandler, client);
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return;
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}
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} else {
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if (query.isExpand()) {
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Iterator<Bucket> bucketsToExpand = buckets.results().stream()
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.filter(bucket -> bucket.getRecordCount() > 0).iterator();
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expandBuckets(jobId, query, buckets, bucketsToExpand, 0, handler, errorHandler, client);
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expandBuckets(jobId, query, buckets, bucketsToExpand, handler, errorHandler, client);
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return;
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}
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}
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@ -474,12 +474,12 @@ public class JobProvider {
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}
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private void expandBuckets(String jobId, BucketsQuery query, QueryPage<Bucket> buckets, Iterator<Bucket> bucketsToExpand,
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int from, Consumer<QueryPage<Bucket>> handler, Consumer<Exception> errorHandler, Client client) {
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Consumer<QueryPage<Bucket>> handler, Consumer<Exception> errorHandler, Client client) {
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if (bucketsToExpand.hasNext()) {
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Consumer<Integer> c = i -> {
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expandBuckets(jobId, query, buckets, bucketsToExpand, from + RECORDS_SIZE_PARAM, handler, errorHandler, client);
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expandBuckets(jobId, query, buckets, bucketsToExpand, handler, errorHandler, client);
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};
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expandBucket(jobId, query.isIncludeInterim(), bucketsToExpand.next(), query.getPartitionValue(), from, c, errorHandler, client);
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expandBucket(jobId, query.isIncludeInterim(), bucketsToExpand.next(), query.getPartitionValue(), c, errorHandler, client);
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} else {
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handler.accept(buckets);
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}
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@ -548,13 +548,10 @@ public class JobProvider {
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/**
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* Expand a bucket with its records
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*/
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// TODO: Ensure all records are included in expanded bucket (see x-pack-elasticsearch#833)
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// This now gets the first 10K records for a bucket. The rate of records per bucket
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// is controlled by parameter in the c++ process and its default value is 500. Users may
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// change that. If they change it they could arguably also change the soft limit for the
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// search size. However, ideally we should change this to use async scroll if the total
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// records is more than 10K.
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public void expandBucket(String jobId, boolean includeInterim, Bucket bucket, String partitionFieldValue, int from,
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// change that. Issue elastic/machine-learning-cpp#73 is open to prevent this.
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public void expandBucket(String jobId, boolean includeInterim, Bucket bucket, String partitionFieldValue,
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Consumer<Integer> consumer, Consumer<Exception> errorHandler, Client client) {
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Consumer<QueryPage<AnomalyRecord>> h = page -> {
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bucket.getRecords().addAll(page.results());
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@ -563,7 +560,7 @@ public class JobProvider {
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}
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consumer.accept(bucket.getRecords().size());
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};
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bucketRecords(jobId, bucket, from, RECORDS_SIZE_PARAM, includeInterim, AnomalyRecord.PROBABILITY.getPreferredName(),
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bucketRecords(jobId, bucket, 0, RECORDS_SIZE_PARAM, includeInterim, AnomalyRecord.PROBABILITY.getPreferredName(),
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false, partitionFieldValue, h, errorHandler, client);
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}
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@ -581,7 +581,7 @@ public class JobProviderTests extends ESTestCase {
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JobProvider provider = createProvider(client);
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Integer[] holder = new Integer[1];
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provider.expandBucket(jobId, false, bucket, null, 0, records -> holder[0] = records, RuntimeException::new,
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provider.expandBucket(jobId, false, bucket, null, records -> holder[0] = records, RuntimeException::new,
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client);
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int records = holder[0];
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assertEquals(400L, records);
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