Examples with IndexType org.apache.hudi.index.HoodieIndex.IndexType used on opensource projects

Example 1 with IndexType

use of org.apache.hudi.index.HoodieIndex.IndexType in project hudi by apache.

the class TestHoodieIndex method testSimpleTagLocationAndUpdate.

@ParameterizedTest
@MethodSource("indexTypeParams")
public void testSimpleTagLocationAndUpdate(IndexType indexType, boolean populateMetaFields, boolean enableMetadataIndex) throws Exception {
    setUp(indexType, populateMetaFields, enableMetadataIndex);
    String newCommitTime = "001";
    int totalRecords = 10 + random.nextInt(20);
    List<HoodieRecord> records = dataGen.generateInserts(newCommitTime, totalRecords);
    JavaRDD<HoodieRecord> writeRecords = jsc.parallelize(records, 1);
    metaClient = HoodieTableMetaClient.reload(metaClient);
    HoodieTable hoodieTable = HoodieSparkTable.create(config, context, metaClient);
    // Test tagLocation without any entries in index
    JavaRDD<HoodieRecord> javaRDD = tagLocation(index, writeRecords, hoodieTable);
    assert (javaRDD.filter(record -> record.isCurrentLocationKnown()).collect().size() == 0);
    // Insert totalRecords records
    writeClient.startCommitWithTime(newCommitTime);
    JavaRDD<WriteStatus> writeStatues = writeClient.upsert(writeRecords, newCommitTime);
    Assertions.assertNoWriteErrors(writeStatues.collect());
    // Now tagLocation for these records, index should not tag them since it was a failed
    // commit
    javaRDD = tagLocation(index, writeRecords, hoodieTable);
    assert (javaRDD.filter(record -> record.isCurrentLocationKnown()).collect().size() == 0);
    // Now commit this & update location of records inserted and validate no errors
    writeClient.commit(newCommitTime, writeStatues);
    // Now tagLocation for these records, index should tag them correctly
    metaClient = HoodieTableMetaClient.reload(metaClient);
    hoodieTable = HoodieSparkTable.create(config, context, metaClient);
    javaRDD = tagLocation(index, writeRecords, hoodieTable);
    Map<String, String> recordKeyToPartitionPathMap = new HashMap();
    List<HoodieRecord> hoodieRecords = writeRecords.collect();
    hoodieRecords.forEach(entry -> recordKeyToPartitionPathMap.put(entry.getRecordKey(), entry.getPartitionPath()));
    assertEquals(totalRecords, javaRDD.filter(record -> record.isCurrentLocationKnown()).collect().size());
    assertEquals(totalRecords, javaRDD.map(record -> record.getKey().getRecordKey()).distinct().count());
    assertEquals(totalRecords, javaRDD.filter(record -> (record.getCurrentLocation() != null && record.getCurrentLocation().getInstantTime().equals(newCommitTime))).distinct().count());
    javaRDD.foreach(entry -> assertEquals(recordKeyToPartitionPathMap.get(entry.getRecordKey()), entry.getPartitionPath(), "PartitionPath mismatch"));
    JavaRDD<HoodieKey> hoodieKeyJavaRDD = writeRecords.map(entry -> entry.getKey());
    JavaPairRDD<HoodieKey, Option<Pair<String, String>>> recordLocations = getRecordLocations(hoodieKeyJavaRDD, hoodieTable);
    List<HoodieKey> hoodieKeys = hoodieKeyJavaRDD.collect();
    assertEquals(totalRecords, recordLocations.collect().size());
    assertEquals(totalRecords, recordLocations.map(record -> record._1).distinct().count());
    recordLocations.foreach(entry -> assertTrue(hoodieKeys.contains(entry._1), "Missing HoodieKey"));
    recordLocations.foreach(entry -> assertEquals(recordKeyToPartitionPathMap.get(entry._1.getRecordKey()), entry._1.getPartitionPath(), "PartitionPath mismatch"));
}

Example 2 with IndexType

use of org.apache.hudi.index.HoodieIndex.IndexType in project hudi by apache.

the class TestHoodieIndex method testTagLocationAndFetchRecordLocations.

@ParameterizedTest
@MethodSource("regularIndexTypeParams")
public void testTagLocationAndFetchRecordLocations(IndexType indexType, boolean populateMetaFields, boolean enableMetadataIndex) throws Exception {
    setUp(indexType, populateMetaFields, enableMetadataIndex);
    String p1 = "2016/01/31";
    String p2 = "2015/01/31";
    String rowKey1 = UUID.randomUUID().toString();
    String rowKey2 = UUID.randomUUID().toString();
    String rowKey3 = UUID.randomUUID().toString();
    String recordStr1 = "{\"_row_key\":\"" + rowKey1 + "\",\"time\":\"2016-01-31T03:16:41.415Z\",\"number\":12}";
    String recordStr2 = "{\"_row_key\":\"" + rowKey2 + "\",\"time\":\"2016-01-31T03:20:41.415Z\",\"number\":100}";
    String recordStr3 = "{\"_row_key\":\"" + rowKey3 + "\",\"time\":\"2016-01-31T03:16:41.415Z\",\"number\":15}";
    // place same row key under a different partition.
    String recordStr4 = "{\"_row_key\":\"" + rowKey1 + "\",\"time\":\"2015-01-31T03:16:41.415Z\",\"number\":32}";
    RawTripTestPayload rowChange1 = new RawTripTestPayload(recordStr1);
    HoodieRecord record1 = new HoodieAvroRecord(new HoodieKey(rowChange1.getRowKey(), rowChange1.getPartitionPath()), rowChange1);
    RawTripTestPayload rowChange2 = new RawTripTestPayload(recordStr2);
    HoodieRecord record2 = new HoodieAvroRecord(new HoodieKey(rowChange2.getRowKey(), rowChange2.getPartitionPath()), rowChange2);
    RawTripTestPayload rowChange3 = new RawTripTestPayload(recordStr3);
    HoodieRecord record3 = new HoodieAvroRecord(new HoodieKey(rowChange3.getRowKey(), rowChange3.getPartitionPath()), rowChange3);
    RawTripTestPayload rowChange4 = new RawTripTestPayload(recordStr4);
    HoodieRecord record4 = new HoodieAvroRecord(new HoodieKey(rowChange4.getRowKey(), rowChange4.getPartitionPath()), rowChange4);
    JavaRDD<HoodieRecord> recordRDD = jsc.parallelize(Arrays.asList(record1, record2, record3, record4));
    String newCommitTime = writeClient.startCommit();
    metaClient = HoodieTableMetaClient.reload(metaClient);
    writeClient.upsert(recordRDD, newCommitTime);
    HoodieTable hoodieTable = HoodieSparkTable.create(config, context, metaClient);
    JavaRDD<HoodieRecord> taggedRecordRDD = tagLocation(index, recordRDD, hoodieTable);
    // Should not find any files
    for (HoodieRecord record : taggedRecordRDD.collect()) {
        assertFalse(record.isCurrentLocationKnown());
    }
    // We create three parquet files, each having one record (two different partitions)
    HoodieSparkWriteableTestTable testTable = HoodieSparkWriteableTestTable.of(metaClient, SCHEMA, metadataWriter);
    final String fileId1 = "fileID1";
    final String fileId2 = "fileID2";
    final String fileId3 = "fileID3";
    Map<String, List<Pair<String, Integer>>> partitionToFilesNameLengthMap = new HashMap<>();
    Path baseFilePath = testTable.forCommit("0000001").withInserts(p1, fileId1, Collections.singletonList(record1));
    long baseFileLength = fs.getFileStatus(baseFilePath).getLen();
    partitionToFilesNameLengthMap.computeIfAbsent(p1, k -> new ArrayList<>()).add(Pair.of(fileId1, Integer.valueOf((int) baseFileLength)));
    testTable.doWriteOperation("0000001", WriteOperationType.UPSERT, Arrays.asList(p1, p2), partitionToFilesNameLengthMap, false, false);
    partitionToFilesNameLengthMap.clear();
    baseFilePath = testTable.forCommit("0000002").withInserts(p1, fileId2, Collections.singletonList(record2));
    baseFileLength = fs.getFileStatus(baseFilePath).getLen();
    partitionToFilesNameLengthMap.computeIfAbsent(p1, k -> new ArrayList<>()).add(Pair.of(fileId2, Integer.valueOf((int) baseFileLength)));
    testTable.doWriteOperation("0000002", WriteOperationType.UPSERT, Arrays.asList(p1, p2), partitionToFilesNameLengthMap, false, false);
    partitionToFilesNameLengthMap.clear();
    baseFilePath = testTable.forCommit("0000003").withInserts(p2, fileId3, Collections.singletonList(record4));
    baseFileLength = fs.getFileStatus(baseFilePath).getLen();
    partitionToFilesNameLengthMap.computeIfAbsent(p2, k -> new ArrayList<>()).add(Pair.of(fileId3, Integer.valueOf((int) baseFileLength)));
    testTable.doWriteOperation("0000003", WriteOperationType.UPSERT, Arrays.asList(p1, p2), partitionToFilesNameLengthMap, false, false);
    // We do the tag again
    metaClient = HoodieTableMetaClient.reload(metaClient);
    hoodieTable = HoodieSparkTable.create(config, context, metaClient);
    taggedRecordRDD = tagLocation(index, recordRDD, hoodieTable);
    List<HoodieRecord> records = taggedRecordRDD.collect();
    // Check results
    for (HoodieRecord record : records) {
        if (record.getRecordKey().equals(rowKey1)) {
            if (record.getPartitionPath().equals(p2)) {
                assertEquals(record.getCurrentLocation().getFileId(), fileId3);
            } else {
                assertEquals(record.getCurrentLocation().getFileId(), fileId1);
            }
        } else if (record.getRecordKey().equals(rowKey2)) {
            assertEquals(record.getCurrentLocation().getFileId(), fileId2);
        } else if (record.getRecordKey().equals(rowKey3)) {
            assertFalse(record.isCurrentLocationKnown());
        }
    }
    JavaPairRDD<HoodieKey, Option<Pair<String, String>>> recordLocations = getRecordLocations(recordRDD.map(HoodieRecord::getKey), hoodieTable);
    for (Tuple2<HoodieKey, Option<Pair<String, String>>> entry : recordLocations.collect()) {
        if (entry._1.getRecordKey().equals(rowKey1)) {
            assertTrue(entry._2.isPresent(), "Row1 should have been present ");
            if (entry._1.getPartitionPath().equals(p2)) {
                assertTrue(entry._2.isPresent(), "Row1 should have been present ");
                assertEquals(entry._2.get().getRight(), fileId3);
            } else {
                assertEquals(entry._2.get().getRight(), fileId1);
            }
        } else if (entry._1.getRecordKey().equals(rowKey2)) {
            assertTrue(entry._2.isPresent(), "Row2 should have been present ");
            assertEquals(entry._2.get().getRight(), fileId2);
        } else if (entry._1.getRecordKey().equals(rowKey3)) {
            assertFalse(entry._2.isPresent(), "Row3 should have been absent ");
        }
    }
}

Example 3 with IndexType

use of org.apache.hudi.index.HoodieIndex.IndexType in project hudi by apache.

the class TestHoodieClientOnCopyOnWriteStorage method testUpsertsUpdatePartitionPath.

/**
 * This test ensures in a global bloom when update partition path is set to true in config, if an incoming record has mismatched partition
 * compared to whats in storage, then appropriate actions are taken. i.e. old record is deleted in old partition and new one is inserted
 * in the new partition.
 * test structure:
 * 1. insert 1 batch
 * 2. insert 2nd batch with larger no of records so that a new file group is created for partitions
 * 3. issue upserts to records from batch 1 with different partition path. This should ensure records from batch 1 are deleted and new
 * records are upserted to the new partition
 *
 * @param indexType index type to be tested for
 * @param config instance of {@link HoodieWriteConfig} to use
 * @param writeFn write function to be used for testing
 */
private void testUpsertsUpdatePartitionPath(IndexType indexType, HoodieWriteConfig config, Function3<JavaRDD<WriteStatus>, SparkRDDWriteClient, JavaRDD<HoodieRecord>, String> writeFn) throws Exception {
    // instantiate client
    HoodieWriteConfig hoodieWriteConfig = getConfigBuilder().withProps(config.getProps()).withCompactionConfig(HoodieCompactionConfig.newBuilder().compactionSmallFileSize(10000).build()).withIndexConfig(HoodieIndexConfig.newBuilder().withIndexType(indexType).withBloomIndexUpdatePartitionPath(true).withGlobalSimpleIndexUpdatePartitionPath(true).build()).withTimelineLayoutVersion(VERSION_0).build();
    HoodieTableMetaClient.withPropertyBuilder().fromMetaClient(metaClient).setTimelineLayoutVersion(VERSION_0).initTable(metaClient.getHadoopConf(), metaClient.getBasePath());
    // Set rollback to LAZY so no inflights are deleted
    hoodieWriteConfig.getProps().put(HoodieCompactionConfig.FAILED_WRITES_CLEANER_POLICY.key(), HoodieFailedWritesCleaningPolicy.LAZY.name());
    SparkRDDWriteClient client = getHoodieWriteClient(hoodieWriteConfig);
    // Write 1
    String newCommitTime = "001";
    int numRecords = 10;
    client.startCommitWithTime(newCommitTime);
    List<HoodieRecord> records = dataGen.generateInserts(newCommitTime, numRecords);
    Set<Pair<String, String>> expectedPartitionPathRecKeyPairs = new HashSet<>();
    // populate expected partition path and record keys
    for (HoodieRecord rec : records) {
        expectedPartitionPathRecKeyPairs.add(Pair.of(rec.getPartitionPath(), rec.getRecordKey()));
    }
    JavaRDD<HoodieRecord> writeRecords = jsc.parallelize(records, 1);
    JavaRDD<WriteStatus> result = writeFn.apply(client, writeRecords, newCommitTime);
    result.collect();
    // Check the entire dataset has all records
    String[] fullPartitionPaths = getFullPartitionPaths();
    assertPartitionPathRecordKeys(expectedPartitionPathRecKeyPairs, fullPartitionPaths);
    // verify one basefile per partition
    String[] fullExpectedPartitionPaths = getFullPartitionPaths(expectedPartitionPathRecKeyPairs.stream().map(Pair::getLeft).toArray(String[]::new));
    Map<String, Long> baseFileCounts = getBaseFileCountsForPaths(basePath, fs, fullExpectedPartitionPaths);
    for (Map.Entry<String, Long> entry : baseFileCounts.entrySet()) {
        assertEquals(1, entry.getValue());
    }
    assertTrue(baseFileCounts.entrySet().stream().allMatch(entry -> entry.getValue() == 1));
    // Write 2
    newCommitTime = "002";
    // so that a new file id is created
    numRecords = 20;
    client.startCommitWithTime(newCommitTime);
    List<HoodieRecord> recordsSecondBatch = dataGen.generateInserts(newCommitTime, numRecords);
    // populate expected partition path and record keys
    for (HoodieRecord rec : recordsSecondBatch) {
        expectedPartitionPathRecKeyPairs.add(Pair.of(rec.getPartitionPath(), rec.getRecordKey()));
    }
    writeRecords = jsc.parallelize(recordsSecondBatch, 1);
    result = writeFn.apply(client, writeRecords, newCommitTime);
    result.collect();
    // Check the entire dataset has all records
    fullPartitionPaths = getFullPartitionPaths();
    assertPartitionPathRecordKeys(expectedPartitionPathRecKeyPairs, fullPartitionPaths);
    // verify that there are more than 1 basefiles per partition
    // we can't guarantee randomness in partitions where records are distributed. So, verify atleast one partition has more than 1 basefile.
    baseFileCounts = getBaseFileCountsForPaths(basePath, fs, fullPartitionPaths);
    assertTrue(baseFileCounts.entrySet().stream().filter(entry -> entry.getValue() > 1).count() >= 1, "At least one partition should have more than 1 base file after 2nd batch of writes");
    // Write 3 (upserts to records from batch 1 with diff partition path)
    newCommitTime = "003";
    // update to diff partition paths
    List<HoodieRecord> recordsToUpsert = new ArrayList<>();
    for (HoodieRecord rec : records) {
        // remove older entry from expected partition path record key pairs
        expectedPartitionPathRecKeyPairs.remove(Pair.of(rec.getPartitionPath(), rec.getRecordKey()));
        String partitionPath = rec.getPartitionPath();
        String newPartitionPath = null;
        if (partitionPath.equalsIgnoreCase(DEFAULT_FIRST_PARTITION_PATH)) {
            newPartitionPath = DEFAULT_SECOND_PARTITION_PATH;
        } else if (partitionPath.equalsIgnoreCase(DEFAULT_SECOND_PARTITION_PATH)) {
            newPartitionPath = DEFAULT_THIRD_PARTITION_PATH;
        } else if (partitionPath.equalsIgnoreCase(DEFAULT_THIRD_PARTITION_PATH)) {
            newPartitionPath = DEFAULT_FIRST_PARTITION_PATH;
        } else {
            throw new IllegalStateException("Unknown partition path " + rec.getPartitionPath());
        }
        recordsToUpsert.add(new HoodieAvroRecord(new HoodieKey(rec.getRecordKey(), newPartitionPath), (HoodieRecordPayload) rec.getData()));
        // populate expected partition path and record keys
        expectedPartitionPathRecKeyPairs.add(Pair.of(newPartitionPath, rec.getRecordKey()));
    }
    writeRecords = jsc.parallelize(recordsToUpsert, 1);
    result = writeFn.apply(client, writeRecords, newCommitTime);
    result.collect();
    // Check the entire dataset has all records
    fullPartitionPaths = getFullPartitionPaths();
    assertPartitionPathRecordKeys(expectedPartitionPathRecKeyPairs, fullPartitionPaths);
}

Example 4 with IndexType

use of org.apache.hudi.index.HoodieIndex.IndexType in project hudi by apache.

the class TestHoodieIndex method testTagLocationAndDuplicateUpdate.

@ParameterizedTest
@MethodSource("indexTypeParams")
public void testTagLocationAndDuplicateUpdate(IndexType indexType, boolean populateMetaFields, boolean enableMetadataIndex) throws Exception {
    setUp(indexType, populateMetaFields, enableMetadataIndex);
    String newCommitTime = "001";
    int totalRecords = 10 + random.nextInt(20);
    List<HoodieRecord> records = dataGen.generateInserts(newCommitTime, totalRecords);
    JavaRDD<HoodieRecord> writeRecords = jsc.parallelize(records, 1);
    HoodieSparkTable hoodieTable = HoodieSparkTable.create(config, context, metaClient);
    writeClient.startCommitWithTime(newCommitTime);
    JavaRDD<WriteStatus> writeStatues = writeClient.upsert(writeRecords, newCommitTime);
    JavaRDD<HoodieRecord> javaRDD1 = tagLocation(index, writeRecords, hoodieTable);
    // Duplicate upsert and ensure correctness is maintained
    // We are trying to approximately imitate the case when the RDD is recomputed. For RDD creating, driver code is not
    // recomputed. This includes the state transitions. We need to delete the inflight instance so that subsequent
    // upsert will not run into conflicts.
    metaClient.getFs().delete(new Path(metaClient.getMetaPath(), "001.inflight"));
    writeClient.upsert(writeRecords, newCommitTime);
    Assertions.assertNoWriteErrors(writeStatues.collect());
    // Now commit this & update location of records inserted and validate no errors
    writeClient.commit(newCommitTime, writeStatues);
    // Now tagLocation for these records, hbaseIndex should tag them correctly
    metaClient = HoodieTableMetaClient.reload(metaClient);
    hoodieTable = HoodieSparkTable.create(config, context, metaClient);
    JavaRDD<HoodieRecord> javaRDD = tagLocation(index, writeRecords, hoodieTable);
    Map<String, String> recordKeyToPartitionPathMap = new HashMap();
    List<HoodieRecord> hoodieRecords = writeRecords.collect();
    hoodieRecords.forEach(entry -> recordKeyToPartitionPathMap.put(entry.getRecordKey(), entry.getPartitionPath()));
    assertEquals(totalRecords, javaRDD.filter(HoodieRecord::isCurrentLocationKnown).collect().size());
    assertEquals(totalRecords, javaRDD.map(record -> record.getKey().getRecordKey()).distinct().count());
    assertEquals(totalRecords, javaRDD.filter(record -> (record.getCurrentLocation() != null && record.getCurrentLocation().getInstantTime().equals(newCommitTime))).distinct().count());
    javaRDD.foreach(entry -> assertEquals(recordKeyToPartitionPathMap.get(entry.getRecordKey()), entry.getPartitionPath(), "PartitionPath mismatch"));
    JavaRDD<HoodieKey> hoodieKeyJavaRDD = writeRecords.map(entry -> entry.getKey());
    JavaPairRDD<HoodieKey, Option<Pair<String, String>>> recordLocations = getRecordLocations(hoodieKeyJavaRDD, hoodieTable);
    List<HoodieKey> hoodieKeys = hoodieKeyJavaRDD.collect();
    assertEquals(totalRecords, recordLocations.collect().size());
    assertEquals(totalRecords, recordLocations.map(record -> record._1).distinct().count());
    recordLocations.foreach(entry -> assertTrue(hoodieKeys.contains(entry._1), "Missing HoodieKey"));
    recordLocations.foreach(entry -> assertEquals(recordKeyToPartitionPathMap.get(entry._1.getRecordKey()), entry._1.getPartitionPath(), "PartitionPath mismatch"));
}

Example 5 with IndexType

use of org.apache.hudi.index.HoodieIndex.IndexType in project hudi by apache.

the class TestHoodieIndex method testSimpleTagLocationAndUpdateWithRollback.

@ParameterizedTest
@MethodSource("indexTypeParams")
public void testSimpleTagLocationAndUpdateWithRollback(IndexType indexType, boolean populateMetaFields, boolean enableMetadataIndex) throws Exception {
    setUp(indexType, populateMetaFields, false, enableMetadataIndex);
    String newCommitTime = writeClient.startCommit();
    int totalRecords = 20 + random.nextInt(20);
    List<HoodieRecord> records = dataGen.generateInserts(newCommitTime, totalRecords);
    JavaRDD<HoodieRecord> writeRecords = jsc.parallelize(records, 1);
    metaClient = HoodieTableMetaClient.reload(metaClient);
    // Insert 200 records
    JavaRDD<WriteStatus> writeStatues = writeClient.upsert(writeRecords, newCommitTime);
    Assertions.assertNoWriteErrors(writeStatues.collect());
    List<String> fileIds = writeStatues.map(WriteStatus::getFileId).collect();
    // commit this upsert
    writeClient.commit(newCommitTime, writeStatues);
    HoodieTable hoodieTable = HoodieSparkTable.create(config, context, metaClient);
    // Now tagLocation for these records, hbaseIndex should tag them
    JavaRDD<HoodieRecord> javaRDD = tagLocation(index, writeRecords, hoodieTable);
    assert (javaRDD.filter(HoodieRecord::isCurrentLocationKnown).collect().size() == totalRecords);
    // check tagged records are tagged with correct fileIds
    assert (javaRDD.filter(record -> record.getCurrentLocation().getFileId() == null).collect().size() == 0);
    List<String> taggedFileIds = javaRDD.map(record -> record.getCurrentLocation().getFileId()).distinct().collect();
    Map<String, String> recordKeyToPartitionPathMap = new HashMap();
    List<HoodieRecord> hoodieRecords = writeRecords.collect();
    hoodieRecords.forEach(entry -> recordKeyToPartitionPathMap.put(entry.getRecordKey(), entry.getPartitionPath()));
    JavaRDD<HoodieKey> hoodieKeyJavaRDD = writeRecords.map(entry -> entry.getKey());
    JavaPairRDD<HoodieKey, Option<Pair<String, String>>> recordLocations = getRecordLocations(hoodieKeyJavaRDD, hoodieTable);
    List<HoodieKey> hoodieKeys = hoodieKeyJavaRDD.collect();
    assertEquals(totalRecords, recordLocations.collect().size());
    assertEquals(totalRecords, recordLocations.map(record -> record._1).distinct().count());
    recordLocations.foreach(entry -> assertTrue(hoodieKeys.contains(entry._1), "Missing HoodieKey"));
    recordLocations.foreach(entry -> assertEquals(recordKeyToPartitionPathMap.get(entry._1.getRecordKey()), entry._1.getPartitionPath(), "PartitionPath mismatch"));
    // both lists should match
    assertTrue(taggedFileIds.containsAll(fileIds) && fileIds.containsAll(taggedFileIds));
    // Rollback the last commit
    writeClient.rollback(newCommitTime);
    hoodieTable = HoodieSparkTable.create(config, context, metaClient);
    // Now tagLocation for these records, hbaseIndex should not tag them since it was a rolled
    // back commit
    javaRDD = tagLocation(index, writeRecords, hoodieTable);
    assert (javaRDD.filter(HoodieRecord::isCurrentLocationKnown).collect().size() == 0);
    assert (javaRDD.filter(record -> record.getCurrentLocation() != null).collect().size() == 0);
}