Examples with ElasticsearchOutputProperties org.talend.components.elasticsearch.output.ElasticsearchOutputProperties used on opensource projects

Example 1 with ElasticsearchOutputProperties

use of org.talend.components.elasticsearch.output.ElasticsearchOutputProperties in project components by Talend.

the class ElasticsearchBeamRuntimeTestIT method filterTest.

@Test
public void filterTest() throws MalformedURLException {
    final String TYPE_NAME = "filtertest";
    List<String> records = Arrays.asList("r1", "r2", "r3", "q1", "q2");
    List<String> expectedRecords = Arrays.asList("r1", "r2", "r3");
    List<IndexedRecord> expectedRecord = new ArrayList<>();
    for (String record : expectedRecords) {
        expectedRecord.add(ConvertToIndexedRecord.convertToAvro(record));
    }
    List<IndexedRecord> avroRecords = new ArrayList<>();
    for (String record : records) {
        avroRecords.add(ConvertToIndexedRecord.convertToAvro(record));
    }
    ElasticsearchDatasetProperties datasetProperties = new ElasticsearchDatasetProperties("datasetProperties");
    datasetProperties.init();
    datasetProperties.setDatastoreProperties(datastoreProperties);
    datasetProperties.index.setValue(INDEX_NAME);
    datasetProperties.type.setValue(TYPE_NAME);
    ElasticsearchOutputProperties outputProperties = new ElasticsearchOutputProperties("outputProperties");
    outputProperties.init();
    outputProperties.setDatasetProperties(datasetProperties);
    ElasticsearchOutputRuntime outputRuntime = new ElasticsearchOutputRuntime();
    outputRuntime.initialize(null, outputProperties);
    PCollection<IndexedRecord> inputRecords = (PCollection<IndexedRecord>) pipeline.apply(Create.of(avroRecords).withCoder(LazyAvroCoder.of()));
    inputRecords.apply(outputRuntime);
    pipeline.run();
    ElasticsearchTestUtils.upgradeIndexAndGetCurrentNumDocs(INDEX_NAME, TYPE_NAME, client);
    // input pipeline start
    ElasticsearchInputProperties inputProperties = new ElasticsearchInputProperties("inputProperties");
    inputProperties.init();
    inputProperties.setDatasetProperties(datasetProperties);
    inputProperties.query.setValue("{\"query\":{\"regexp\":{\"field\":\"r[1-3]\"}}}");
    ElasticsearchInputRuntime inputRuntime = new ElasticsearchInputRuntime();
    inputRuntime.initialize(null, inputProperties);
    PCollection<IndexedRecord> outputRecords = pipeline.apply(inputRuntime);
    PAssert.that(outputRecords).containsInAnyOrder(expectedRecord);
    pipeline.run();
}

Example 2 with ElasticsearchOutputProperties

use of org.talend.components.elasticsearch.output.ElasticsearchOutputProperties in project components by Talend.

the class ElasticsearchBeamRuntimeTestIT method getSampleTest.

@Test
public void getSampleTest() {
    final String TYPE_NAME = "getsampletest";
    List<String> records = Arrays.asList("r1", "r2", "r3");
    List<IndexedRecord> avroRecords = new ArrayList<>();
    for (String record : records) {
        avroRecords.add(ConvertToIndexedRecord.convertToAvro(record));
    }
    ElasticsearchDatasetProperties datasetProperties = new ElasticsearchDatasetProperties("datasetProperties");
    datasetProperties.init();
    datasetProperties.setDatastoreProperties(datastoreProperties);
    datasetProperties.index.setValue(INDEX_NAME);
    datasetProperties.type.setValue(TYPE_NAME);
    ElasticsearchOutputProperties outputProperties = new ElasticsearchOutputProperties("outputProperties");
    outputProperties.init();
    outputProperties.setDatasetProperties(datasetProperties);
    ElasticsearchOutputRuntime outputRuntime = new ElasticsearchOutputRuntime();
    outputRuntime.initialize(null, outputProperties);
    PCollection<IndexedRecord> inputRecords = (PCollection<IndexedRecord>) pipeline.apply(Create.of(avroRecords).withCoder(LazyAvroCoder.of()));
    inputRecords.apply(outputRuntime);
    pipeline.run();
    ElasticsearchTestUtils.upgradeIndexAndGetCurrentNumDocs(INDEX_NAME, TYPE_NAME, client);
    ElasticsearchDatasetRuntime datasetRuntime = new ElasticsearchDatasetRuntime();
    datasetRuntime.initialize(null, datasetProperties);
    final List<IndexedRecord> samples = new ArrayList<>();
    datasetRuntime.getSample(3, new Consumer<IndexedRecord>() {

        @Override
        public void accept(IndexedRecord indexedRecord) {
            samples.add(indexedRecord);
        }
    });
    compareListIndexedRecord(samples, avroRecords);
    assertThat(samples.size(), is(3));
}

Example 3 with ElasticsearchOutputProperties

use of org.talend.components.elasticsearch.output.ElasticsearchOutputProperties in project components by Talend.

the class ElasticsearchBeamRuntimeTestIT method getSampleNumericalTest.

@Test
public void getSampleNumericalTest() {
    final String TYPE_NAME = "getsamplenumericaltest";
    List<Integer> records = Arrays.asList(1, 5, 50, 555);
    List<IndexedRecord> avroRecords = new ArrayList<>();
    for (Integer record : records) {
        avroRecords.add(ConvertToIndexedRecord.convertToAvro(record));
    }
    ElasticsearchDatasetProperties datasetProperties = new ElasticsearchDatasetProperties("datasetProperties");
    datasetProperties.init();
    datasetProperties.setDatastoreProperties(datastoreProperties);
    datasetProperties.index.setValue(INDEX_NAME);
    datasetProperties.type.setValue(TYPE_NAME);
    ElasticsearchOutputProperties outputProperties = new ElasticsearchOutputProperties("outputProperties");
    outputProperties.init();
    outputProperties.setDatasetProperties(datasetProperties);
    ElasticsearchOutputRuntime outputRuntime = new ElasticsearchOutputRuntime();
    outputRuntime.initialize(null, outputProperties);
    PCollection<IndexedRecord> inputRecords = (PCollection<IndexedRecord>) pipeline.apply(Create.of(avroRecords).withCoder(LazyAvroCoder.of()));
    inputRecords.apply(outputRuntime);
    pipeline.run();
    ElasticsearchTestUtils.upgradeIndexAndGetCurrentNumDocs(INDEX_NAME, TYPE_NAME, client);
    ElasticsearchDatasetRuntime datasetRuntime = new ElasticsearchDatasetRuntime();
    datasetRuntime.initialize(null, datasetProperties);
    final List<IndexedRecord> samples = new ArrayList<>();
    datasetRuntime.getSample(4, new Consumer<IndexedRecord>() {

        @Override
        public void accept(IndexedRecord indexedRecord) {
            samples.add(indexedRecord);
        }
    });
    compareListIndexedRecord(samples, avroRecords);
    assertThat(samples.size(), is(4));
}

Example 4 with ElasticsearchOutputProperties

use of org.talend.components.elasticsearch.output.ElasticsearchOutputProperties in project components by Talend.

the class ElasticsearchBeamRuntimeTestIT method basicTest.

@Test
public void basicTest() throws MalformedURLException {
    final String TYPE_NAME = "basictest";
    List<String> records = Arrays.asList("r1", "r2", "r3");
    List<IndexedRecord> avroRecords = new ArrayList<>();
    for (String record : records) {
        avroRecords.add(ConvertToIndexedRecord.convertToAvro(record));
    }
    ElasticsearchDatasetProperties datasetProperties = new ElasticsearchDatasetProperties("datasetProperties");
    datasetProperties.init();
    datasetProperties.setDatastoreProperties(datastoreProperties);
    datasetProperties.index.setValue(INDEX_NAME);
    datasetProperties.type.setValue(TYPE_NAME);
    ElasticsearchOutputProperties outputProperties = new ElasticsearchOutputProperties("outputProperties");
    outputProperties.init();
    outputProperties.setDatasetProperties(datasetProperties);
    ElasticsearchOutputRuntime outputRuntime = new ElasticsearchOutputRuntime();
    outputRuntime.initialize(null, outputProperties);
    PCollection<IndexedRecord> inputRecords = (PCollection<IndexedRecord>) pipeline.apply(Create.of(avroRecords).withCoder(LazyAvroCoder.of()));
    inputRecords.apply(outputRuntime);
    pipeline.run();
    ElasticsearchTestUtils.upgradeIndexAndGetCurrentNumDocs(INDEX_NAME, TYPE_NAME, client);
    // input pipeline start
    ElasticsearchInputProperties inputProperties = new ElasticsearchInputProperties("inputProperties");
    inputProperties.init();
    inputProperties.setDatasetProperties(datasetProperties);
    ElasticsearchInputRuntime inputRuntime = new ElasticsearchInputRuntime();
    inputRuntime.initialize(null, inputProperties);
    PCollection<IndexedRecord> outputRecords = pipeline.apply(inputRuntime);
    PAssert.that(outputRecords).containsInAnyOrder(avroRecords);
    pipeline.run();
}