Examples with QueryMetadata io.confluent.ksql.util.QueryMetadata used on opensource projects

Example 1 with QueryMetadata

use of io.confluent.ksql.util.QueryMetadata in project ksql by confluentinc.

the class EndToEndIntegrationTest method executeQuery.

private QueuedQueryMetadata executeQuery(final String statement, final String... args) throws Exception {
    final QueryMetadata queryMetadata = executeStatement(statement, args);
    assertThat(queryMetadata, instanceOf(QueuedQueryMetadata.class));
    return (QueuedQueryMetadata) queryMetadata;
}

Example 2 with QueryMetadata

use of io.confluent.ksql.util.QueryMetadata in project ksql by confluentinc.

the class JsonFormatTest method executePersistentQuery.

private void executePersistentQuery(String queryString) throws Exception {
    final QueryMetadata queryMetadata = ksqlEngine.buildMultipleQueries(queryString, Collections.emptyMap()).get(0);
    queryMetadata.getKafkaStreams().start();
    queryId = ((PersistentQueryMetadata) queryMetadata).getId();
}

Example 3 with QueryMetadata

use of io.confluent.ksql.util.QueryMetadata in project ksql by confluentinc.

the class SecureIntegrationTest method executePersistentQuery.

private void executePersistentQuery(final String queryString, final Object... params) throws Exception {
    final String query = String.format(queryString, params);
    final QueryMetadata queryMetadata = ksqlEngine.buildMultipleQueries(query, Collections.emptyMap()).get(0);
    queryMetadata.getKafkaStreams().start();
    queryId = ((PersistentQueryMetadata) queryMetadata).getId();
}

Example 4 with QueryMetadata

use of io.confluent.ksql.util.QueryMetadata in project ksql by confluentinc.

the class WindowingIntTest method shouldAggregateWithNoWindow.

@Test
public void shouldAggregateWithNoWindow() throws Exception {
    testHarness.publishTestData(topicName, dataProvider, now);
    final String streamName = "NOWINDOW_AGGTEST";
    final String queryString = String.format("CREATE TABLE %s AS SELECT %s FROM ORDERS WHERE ITEMID = 'ITEM_1' GROUP BY ITEMID;", streamName, "ITEMID, COUNT(ITEMID), SUM(ORDERUNITS)");
    ksqlContext.sql(queryString);
    Schema resultSchema = ksqlContext.getMetaStore().getSource(streamName).getSchema();
    final GenericRow expected = new GenericRow(Arrays.asList(null, null, "ITEM_1", 2, /**
     * 2 x items *
     */
    20.0));
    final Map<String, GenericRow> results = new HashMap<>();
    TestUtils.waitForCondition(() -> {
        final Map<String, GenericRow> aggregateResults = testHarness.consumeData(streamName, resultSchema, 1, new StringDeserializer(), MAX_POLL_PER_ITERATION);
        final GenericRow actual = aggregateResults.get("ITEM_1");
        return expected.equals(actual);
    }, 60000, "didn't receive correct results within timeout");
    AdminClient adminClient = AdminClient.create(testHarness.ksqlConfig.getKsqlStreamConfigProps());
    KafkaTopicClient topicClient = new KafkaTopicClientImpl(adminClient);
    Set<String> topicBeforeCleanup = topicClient.listTopicNames();
    assertThat("Expected to have 5 topics instead have : " + topicBeforeCleanup.size(), topicBeforeCleanup.size(), equalTo(5));
    QueryMetadata queryMetadata = ksqlContext.getRunningQueries().iterator().next();
    queryMetadata.close();
    Set<String> topicsAfterCleanUp = topicClient.listTopicNames();
    assertThat("Expected to see 3 topics after clean up but seeing " + topicsAfterCleanUp.size(), topicsAfterCleanUp.size(), equalTo(3));
    assertThat(topicClient.getTopicCleanupPolicy(streamName), equalTo(KafkaTopicClient.TopicCleanupPolicy.COMPACT));
}

Example 5 with QueryMetadata

use of io.confluent.ksql.util.QueryMetadata in project ksql by confluentinc.

the class WindowingIntTest method shouldAggregateSessionWindow.

@Test
public void shouldAggregateSessionWindow() throws Exception {
    testHarness.publishTestData(topicName, dataProvider, now);
    final String streamName = "SESSION_AGGTEST";
    final String queryString = String.format("CREATE TABLE %s AS SELECT %s FROM ORDERS WINDOW %s GROUP BY ORDERID;", streamName, "ORDERID, COUNT(*), SUM(ORDERUNITS)", "SESSION (10 SECONDS)");
    ksqlContext.sql(queryString);
    Schema resultSchema = ksqlContext.getMetaStore().getSource(streamName).getSchema();
    GenericRow expectedResults = new GenericRow(Arrays.asList(null, null, "ORDER_6", 6, /**
     * 2 x items *
     */
    420.0));
    final Map<String, GenericRow> results = new HashMap<>();
    TestUtils.waitForCondition(() -> {
        final Map<Windowed<String>, GenericRow> windowedResults = testHarness.consumeData(streamName, resultSchema, datasetOneMetaData.size(), new TimeWindowedDeserializer<>(new StringDeserializer()), 1000);
        updateResults(results, windowedResults);
        final GenericRow actual = results.get("ORDER_6");
        return expectedResults.equals(actual) && results.size() == 6;
    }, 60000, "didn't receive correct results within timeout");
    AdminClient adminClient = AdminClient.create(testHarness.ksqlConfig.getKsqlStreamConfigProps());
    KafkaTopicClient topicClient = new KafkaTopicClientImpl(adminClient);
    Set<String> topicBeforeCleanup = topicClient.listTopicNames();
    assertThat("Expected to have 5 topics instead have : " + topicBeforeCleanup.size(), topicBeforeCleanup.size(), equalTo(5));
    QueryMetadata queryMetadata = ksqlContext.getRunningQueries().iterator().next();
    queryMetadata.close();
    Set<String> topicsAfterCleanUp = topicClient.listTopicNames();
    assertThat("Expected to see 3 topics after clean up but seeing " + topicsAfterCleanUp.size(), topicsAfterCleanUp.size(), equalTo(3));
    assertThat(topicClient.getTopicCleanupPolicy(streamName), equalTo(KafkaTopicClient.TopicCleanupPolicy.DELETE));
}