
package org.apache.kafka.streams.integration;

import org.apache.kafka.clients.consumer.ConsumerConfig;
import org.apache.kafka.clients.producer.ProducerConfig;
import org.apache.kafka.common.serialization.IntegerSerializer;
import org.apache.kafka.common.serialization.Serdes;
import org.apache.kafka.common.utils.Bytes;
import org.apache.kafka.common.utils.MockTime;
import org.apache.kafka.streams.KafkaStreams;
import org.apache.kafka.streams.KeyQueryMetadata;
import org.apache.kafka.streams.KeyValue;
import org.apache.kafka.streams.StoreQueryParameters;
import org.apache.kafka.streams.StreamsBuilder;
import org.apache.kafka.streams.StreamsConfig;
import org.apache.kafka.streams.errors.InvalidStateStoreException;
import org.apache.kafka.streams.integration.utils.EmbeddedKafkaCluster;
import org.apache.kafka.streams.integration.utils.IntegrationTestUtils;
import org.apache.kafka.streams.kstream.Consumed;
import org.apache.kafka.streams.kstream.Materialized;
import org.apache.kafka.streams.state.KeyValueStore;
import org.apache.kafka.streams.state.QueryableStoreType;
import org.apache.kafka.streams.state.ReadOnlyKeyValueStore;
import org.apache.kafka.test.IntegrationTest;
import org.apache.kafka.test.TestCondition;
import org.apache.kafka.test.TestUtils;
import org.junit.After;
import org.junit.Before;
import org.junit.Rule;
import org.junit.Test;
import org.junit.experimental.categories.Category;
import org.junit.rules.TestName;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;

import java.io.IOException;
import java.time.Duration;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.List;
import java.util.Properties;
import java.util.concurrent.Semaphore;
import java.util.concurrent.TimeUnit;
import java.util.stream.Collectors;
import java.util.stream.IntStream;

import static org.apache.kafka.streams.integration.utils.IntegrationTestUtils.getStore;
import static org.apache.kafka.streams.integration.utils.IntegrationTestUtils.safeUniqueTestName;
import static org.apache.kafka.streams.integration.utils.IntegrationTestUtils.startApplicationAndWaitUntilRunning;
import static org.apache.kafka.streams.state.QueryableStoreTypes.keyValueStore;
import static org.hamcrest.MatcherAssert.assertThat;
import static org.hamcrest.Matchers.containsString;
import static org.hamcrest.Matchers.equalTo;
import static org.hamcrest.Matchers.is;
import static org.hamcrest.Matchers.notNullValue;
import static org.hamcrest.Matchers.nullValue;
import static org.junit.Assert.assertThrows;
import static org.junit.Assert.assertTrue;


@Category({IntegrationTest.class})
public class StoreQueryIntegrationTest {

    private static final Logger LOG = LoggerFactory.getLogger(StoreQueryIntegrationTest.class);

    private static final int NUM_BROKERS = 1;
    private static int port = 0;
    private static final String INPUT_TOPIC_NAME = "input-topic";
    private static final String TABLE_NAME = "source-table";

    public final EmbeddedKafkaCluster cluster = new EmbeddedKafkaCluster(NUM_BROKERS);

    @Rule
    public TestName testName = new TestName();

    private final List<KafkaStreams> streamsToCleanup = new ArrayList<>();
    private final MockTime mockTime = cluster.time;

    @Before
    public void before() throws InterruptedException, IOException {
        cluster.start();
        cluster.createTopic(INPUT_TOPIC_NAME, 2, 1);
    }

    @After
    public void after() {
        for (final KafkaStreams kafkaStreams : streamsToCleanup) {
            kafkaStreams.close();
        }
        cluster.stop();
    }

    @Test
    public void shouldQueryOnlyActivePartitionStoresByDefault() throws Exception {
        final int batch1NumMessages = 100;
        final int key = 1;
        final Semaphore semaphore = new Semaphore(0);

        final StreamsBuilder builder = new StreamsBuilder();
        builder.table(INPUT_TOPIC_NAME, Consumed.with(Serdes.Integer(), Serdes.Integer()),
                      Materialized.<Integer, Integer, KeyValueStore<Bytes, byte[]>>as(TABLE_NAME)
                          .withCachingDisabled())
               .toStream()
               .peek((k, v) -> semaphore.release());

        final KafkaStreams kafkaStreams1 = createKafkaStreams(builder, streamsConfiguration());
        final KafkaStreams kafkaStreams2 = createKafkaStreams(builder, streamsConfiguration());
        final List<KafkaStreams> kafkaStreamsList = Arrays.asList(kafkaStreams1, kafkaStreams2);

        startApplicationAndWaitUntilRunning(kafkaStreamsList, Duration.ofSeconds(60));

        produceValueRange(key, 0, batch1NumMessages);

        // Assert that all messages in the first batch were processed in a timely manner
        assertThat(semaphore.tryAcquire(batch1NumMessages, 60, TimeUnit.SECONDS), is(equalTo(true)));
        until(() -> {

            final KeyQueryMetadata keyQueryMetadata = kafkaStreams1.queryMetadataForKey(TABLE_NAME, key, (topic, somekey, value, numPartitions) -> 0);

            final QueryableStoreType<ReadOnlyKeyValueStore<Integer, Integer>> queryableStoreType = keyValueStore();
            final ReadOnlyKeyValueStore<Integer, Integer> store1 = getStore(TABLE_NAME, kafkaStreams1, queryableStoreType);
            final ReadOnlyKeyValueStore<Integer, Integer> store2 = getStore(TABLE_NAME, kafkaStreams2, queryableStoreType);

            final boolean kafkaStreams1IsActive = (keyQueryMetadata.activeHost().port() % 2) == 1;

            try {
                if (kafkaStreams1IsActive) {
                    assertThat(store1.get(key), is(notNullValue()));
                    assertThat(store2.get(key), is(nullValue()));
                } else {
                    assertThat(store1.get(key), is(nullValue()));
                    assertThat(store2.get(key), is(notNullValue()));
                }
                return true;
            } catch (final InvalidStateStoreException exception) {
                assertThat(
                    exception.getMessage(),
                    containsString("Cannot get state store source-table because the stream thread is PARTITIONS_ASSIGNED, not RUNNING")
                );
                LOG.info("Streams wasn't running. Will try again.");
                return false;
            }
        });
    }

    @Test
    public void shouldQuerySpecificActivePartitionStores() throws Exception {
        final int batch1NumMessages = 100;
        final int key = 1;
        final Semaphore semaphore = new Semaphore(0);

        final StreamsBuilder builder = new StreamsBuilder();
        builder.table(INPUT_TOPIC_NAME, Consumed.with(Serdes.Integer(), Serdes.Integer()),
                      Materialized.<Integer, Integer, KeyValueStore<Bytes, byte[]>>as(TABLE_NAME)
                          .withCachingDisabled())
               .toStream()
               .peek((k, v) -> semaphore.release());

        final KafkaStreams kafkaStreams1 = createKafkaStreams(builder, streamsConfiguration());
        final KafkaStreams kafkaStreams2 = createKafkaStreams(builder, streamsConfiguration());
        final List<KafkaStreams> kafkaStreamsList = Arrays.asList(kafkaStreams1, kafkaStreams2);

        startApplicationAndWaitUntilRunning(kafkaStreamsList, Duration.ofSeconds(60));

        produceValueRange(key, 0, batch1NumMessages);

        // Assert that all messages in the first batch were processed in a timely manner
        assertThat(semaphore.tryAcquire(batch1NumMessages, 60, TimeUnit.SECONDS), is(equalTo(true)));
        until(() -> {
            final KeyQueryMetadata keyQueryMetadata = kafkaStreams1.queryMetadataForKey(TABLE_NAME, key, (topic, somekey, value, numPartitions) -> 0);

            //key belongs to this partition
            final int keyPartition = keyQueryMetadata.partition();

            //key doesn't belongs to this partition
            final int keyDontBelongPartition = (keyPartition == 0) ? 1 : 0;
            final boolean kafkaStreams1IsActive = (keyQueryMetadata.activeHost().port() % 2) == 1;

            final StoreQueryParameters<ReadOnlyKeyValueStore<Integer, Integer>> storeQueryParam =
                StoreQueryParameters.<ReadOnlyKeyValueStore<Integer, Integer>>fromNameAndType(TABLE_NAME, keyValueStore())
                    .withPartition(keyPartition);
            ReadOnlyKeyValueStore<Integer, Integer> store1 = null;
            ReadOnlyKeyValueStore<Integer, Integer> store2 = null;
            if (kafkaStreams1IsActive) {
                store1 = getStore(kafkaStreams1, storeQueryParam);
            } else {
                store2 = getStore(kafkaStreams2, storeQueryParam);
            }

            if (kafkaStreams1IsActive) {
                assertThat(store1, is(notNullValue()));
                assertThat(store2, is(nullValue()));
            } else {
                assertThat(store2, is(notNullValue()));
                assertThat(store1, is(nullValue()));
            }

            final StoreQueryParameters<ReadOnlyKeyValueStore<Integer, Integer>> storeQueryParam2 =
                StoreQueryParameters.<ReadOnlyKeyValueStore<Integer, Integer>>fromNameAndType(TABLE_NAME, keyValueStore())
                .withPartition(keyDontBelongPartition);

            try {
                // Assert that key is not served when wrong specific partition is requested
                // If kafkaStreams1 is active for keyPartition, kafkaStreams2 would be active for keyDontBelongPartition
                // So, in that case, store3 would be null and the store4 would not return the value for key as wrong partition was requested
                if (kafkaStreams1IsActive) {
                    assertThat(store1.get(key), is(notNullValue()));
                    assertThat(getStore(kafkaStreams2, storeQueryParam2).get(key), is(nullValue()));
                    final InvalidStateStoreException exception =
                        assertThrows(InvalidStateStoreException.class, () -> getStore(kafkaStreams1, storeQueryParam2).get(key));
                    assertThat(
                        exception.getMessage(),
                        containsString("The specified partition 1 for store source-table does not exist.")
                    );
                } else {
                    assertThat(store2.get(key), is(notNullValue()));
                    assertThat(getStore(kafkaStreams1, storeQueryParam2).get(key), is(nullValue()));
                    final InvalidStateStoreException exception =
                        assertThrows(InvalidStateStoreException.class, () -> getStore(kafkaStreams2, storeQueryParam2).get(key));
                    assertThat(
                        exception.getMessage(),
                        containsString("The specified partition 1 for store source-table does not exist.")
                    );
                }
                return true;
            } catch (final InvalidStateStoreException exception) {
                assertThat(
                    exception.getMessage(),
                    containsString("Cannot get state store source-table because the stream thread is PARTITIONS_ASSIGNED, not RUNNING")
                );
                LOG.info("Streams wasn't running. Will try again.");
                return false;
            }
        });
    }

    @Test
    public void shouldQueryAllStalePartitionStores() throws Exception {
        final int batch1NumMessages = 100;
        final int key = 1;
        final Semaphore semaphore = new Semaphore(0);

        final StreamsBuilder builder = new StreamsBuilder();
        builder.table(INPUT_TOPIC_NAME, Consumed.with(Serdes.Integer(), Serdes.Integer()),
                      Materialized.<Integer, Integer, KeyValueStore<Bytes, byte[]>>as(TABLE_NAME)
                          .withCachingDisabled())
               .toStream()
               .peek((k, v) -> semaphore.release());

        final KafkaStreams kafkaStreams1 = createKafkaStreams(builder, streamsConfiguration());
        final KafkaStreams kafkaStreams2 = createKafkaStreams(builder, streamsConfiguration());
        final List<KafkaStreams> kafkaStreamsList = Arrays.asList(kafkaStreams1, kafkaStreams2);

        startApplicationAndWaitUntilRunning(kafkaStreamsList, Duration.ofSeconds(60));

        produceValueRange(key, 0, batch1NumMessages);

        // Assert that all messages in the first batch were processed in a timely manner
        assertThat(semaphore.tryAcquire(batch1NumMessages, 60, TimeUnit.SECONDS), is(equalTo(true)));

        final QueryableStoreType<ReadOnlyKeyValueStore<Integer, Integer>> queryableStoreType = keyValueStore();

        // Assert that both active and standby are able to query for a key
        TestUtils.waitForCondition(() -> {
            final ReadOnlyKeyValueStore<Integer, Integer> store1 = getStore(TABLE_NAME, kafkaStreams1, true, queryableStoreType);
            return store1.get(key) != null;
        }, "store1 cannot find results for key");
        TestUtils.waitForCondition(() -> {
            final ReadOnlyKeyValueStore<Integer, Integer> store2 = getStore(TABLE_NAME, kafkaStreams2, true, queryableStoreType);
            return store2.get(key) != null;
        }, "store2 cannot find results for key");
    }

    @Test
    public void shouldQuerySpecificStalePartitionStores() throws Exception {
        final int batch1NumMessages = 100;
        final int key = 1;
        final Semaphore semaphore = new Semaphore(0);

        final StreamsBuilder builder = new StreamsBuilder();
        builder.table(INPUT_TOPIC_NAME, Consumed.with(Serdes.Integer(), Serdes.Integer()),
                      Materialized.<Integer, Integer, KeyValueStore<Bytes, byte[]>>as(TABLE_NAME)
                          .withCachingDisabled())
               .toStream()
               .peek((k, v) -> semaphore.release());

        final KafkaStreams kafkaStreams1 = createKafkaStreams(builder, streamsConfiguration());
        final KafkaStreams kafkaStreams2 = createKafkaStreams(builder, streamsConfiguration());
        final List<KafkaStreams> kafkaStreamsList = Arrays.asList(kafkaStreams1, kafkaStreams2);

        startApplicationAndWaitUntilRunning(kafkaStreamsList, Duration.ofSeconds(60));

        produceValueRange(key, 0, batch1NumMessages);

        // Assert that all messages in the first batch were processed in a timely manner
        assertThat(semaphore.tryAcquire(batch1NumMessages, 60, TimeUnit.SECONDS), is(equalTo(true)));
        final KeyQueryMetadata keyQueryMetadata = kafkaStreams1.queryMetadataForKey(TABLE_NAME, key, (topic, somekey, value, numPartitions) -> 0);

        //key belongs to this partition
        final int keyPartition = keyQueryMetadata.partition();

        //key doesn't belongs to this partition
        final int keyDontBelongPartition = (keyPartition == 0) ? 1 : 0;
        final QueryableStoreType<ReadOnlyKeyValueStore<Integer, Integer>> queryableStoreType = keyValueStore();

        // Assert that both active and standby are able to query for a key
        final StoreQueryParameters<ReadOnlyKeyValueStore<Integer, Integer>> param = StoreQueryParameters
            .fromNameAndType(TABLE_NAME, queryableStoreType)
            .enableStaleStores()
            .withPartition(keyPartition);
        TestUtils.waitForCondition(() -> {
            final ReadOnlyKeyValueStore<Integer, Integer> store1 = getStore(kafkaStreams1, param);
            return store1.get(key) != null;
        }, "store1 cannot find results for key");
        TestUtils.waitForCondition(() -> {
            final ReadOnlyKeyValueStore<Integer, Integer> store2 = getStore(kafkaStreams2, param);
            return store2.get(key) != null;
        }, "store2 cannot find results for key");

        final StoreQueryParameters<ReadOnlyKeyValueStore<Integer, Integer>> otherParam = StoreQueryParameters
            .fromNameAndType(TABLE_NAME, queryableStoreType)
            .enableStaleStores()
            .withPartition(keyDontBelongPartition);
        final ReadOnlyKeyValueStore<Integer, Integer> store3 = getStore(kafkaStreams1, otherParam);
        final ReadOnlyKeyValueStore<Integer, Integer> store4 = getStore(kafkaStreams2, otherParam);

        // Assert that
        assertThat(store3.get(key), is(nullValue()));
        assertThat(store4.get(key), is(nullValue()));
    }

    @Test
    public void shouldQuerySpecificStalePartitionStoresMultiStreamThreads() throws Exception {
        final int batch1NumMessages = 100;
        final int key = 1;
        final Semaphore semaphore = new Semaphore(0);
        final int numStreamThreads = 2;

        final StreamsBuilder builder = new StreamsBuilder();
        builder.table(INPUT_TOPIC_NAME, Consumed.with(Serdes.Integer(), Serdes.Integer()),
                      Materialized.<Integer, Integer, KeyValueStore<Bytes, byte[]>>as(TABLE_NAME)
                          .withCachingDisabled())
               .toStream()
               .peek((k, v) -> semaphore.release());

        final Properties streamsConfiguration1 = streamsConfiguration();
        streamsConfiguration1.put(StreamsConfig.NUM_STREAM_THREADS_CONFIG, numStreamThreads);

        final Properties streamsConfiguration2 = streamsConfiguration();
        streamsConfiguration2.put(StreamsConfig.NUM_STREAM_THREADS_CONFIG, numStreamThreads);

        final KafkaStreams kafkaStreams1 = createKafkaStreams(builder, streamsConfiguration1);
        final KafkaStreams kafkaStreams2 = createKafkaStreams(builder, streamsConfiguration2);
        final List<KafkaStreams> kafkaStreamsList = Arrays.asList(kafkaStreams1, kafkaStreams2);

        startApplicationAndWaitUntilRunning(kafkaStreamsList, Duration.ofSeconds(60));

        assertTrue(kafkaStreams1.localThreadsMetadata().size() > 1);
        assertTrue(kafkaStreams2.localThreadsMetadata().size() > 1);

        produceValueRange(key, 0, batch1NumMessages);

        // Assert that all messages in the first batch were processed in a timely manner
        assertThat(semaphore.tryAcquire(batch1NumMessages, 60, TimeUnit.SECONDS), is(equalTo(true)));
        final KeyQueryMetadata keyQueryMetadata = kafkaStreams1.queryMetadataForKey(TABLE_NAME, key, new IntegerSerializer());

        //key belongs to this partition
        final int keyPartition = keyQueryMetadata.partition();

        //key doesn't belongs to this partition
        final int keyDontBelongPartition = (keyPartition == 0) ? 1 : 0;
        final QueryableStoreType<ReadOnlyKeyValueStore<Integer, Integer>> queryableStoreType = keyValueStore();

        // Assert that both active and standby are able to query for a key
        final StoreQueryParameters<ReadOnlyKeyValueStore<Integer, Integer>> param = StoreQueryParameters
            .fromNameAndType(TABLE_NAME, queryableStoreType)
            .enableStaleStores()
            .withPartition(keyPartition);
        TestUtils.waitForCondition(() -> {
            final ReadOnlyKeyValueStore<Integer, Integer> store1 = getStore(kafkaStreams1, param);
            return store1.get(key) != null;
        }, "store1 cannot find results for key");
        TestUtils.waitForCondition(() -> {
            final ReadOnlyKeyValueStore<Integer, Integer> store2 = getStore(kafkaStreams2, param);
            return store2.get(key) != null;
        }, "store2 cannot find results for key");

        final StoreQueryParameters<ReadOnlyKeyValueStore<Integer, Integer>> otherParam = StoreQueryParameters
            .fromNameAndType(TABLE_NAME, queryableStoreType)
            .enableStaleStores()
            .withPartition(keyDontBelongPartition);
        final ReadOnlyKeyValueStore<Integer, Integer> store3 = getStore(kafkaStreams1, otherParam);
        final ReadOnlyKeyValueStore<Integer, Integer> store4 = getStore(kafkaStreams2, otherParam);

        // Assert that
        assertThat(store3.get(key), is(nullValue()));
        assertThat(store4.get(key), is(nullValue()));
    }

    private static void until(final TestCondition condition) {
        boolean success = false;
        final long deadline = System.currentTimeMillis() + IntegrationTestUtils.DEFAULT_TIMEOUT;
        while (!success && System.currentTimeMillis() < deadline) {
            try {
                success = condition.conditionMet();
                Thread.sleep(500L);
            } catch (final RuntimeException e) {
                throw e;
            } catch (final Exception e) {
                throw new RuntimeException(e);
            }
        }
    }

    private KafkaStreams createKafkaStreams(final StreamsBuilder builder, final Properties config) {
        final KafkaStreams streams = new KafkaStreams(builder.build(config), config);
        streamsToCleanup.add(streams);
        return streams;
    }

    private void produceValueRange(final int key, final int start, final int endExclusive) {
        final Properties producerProps = new Properties();
        producerProps.put(ProducerConfig.BOOTSTRAP_SERVERS_CONFIG, cluster.bootstrapServers());
        producerProps.put(ProducerConfig.KEY_SERIALIZER_CLASS_CONFIG, IntegerSerializer.class);
        producerProps.put(ProducerConfig.VALUE_SERIALIZER_CLASS_CONFIG, IntegerSerializer.class);

        IntegrationTestUtils.produceKeyValuesSynchronously(
            INPUT_TOPIC_NAME,
            IntStream.range(start, endExclusive)
                     .mapToObj(i -> KeyValue.pair(key, i))
                     .collect(Collectors.toList()),
            producerProps,
            mockTime);
    }

    private Properties streamsConfiguration() {
        final String safeTestName = safeUniqueTestName(getClass(), testName);
        final Properties config = new Properties();
        config.put(StreamsConfig.TOPOLOGY_OPTIMIZATION_CONFIG, StreamsConfig.OPTIMIZE);
        config.put(StreamsConfig.APPLICATION_ID_CONFIG, "app-" + safeTestName);
        config.put(StreamsConfig.APPLICATION_SERVER_CONFIG, "localhost:" + (++port));
        config.put(StreamsConfig.BOOTSTRAP_SERVERS_CONFIG, cluster.bootstrapServers());
        config.put(StreamsConfig.STATE_DIR_CONFIG, TestUtils.tempDirectory().getPath());
        config.put(StreamsConfig.DEFAULT_KEY_SERDE_CLASS_CONFIG, Serdes.Integer().getClass());
        config.put(StreamsConfig.DEFAULT_VALUE_SERDE_CLASS_CONFIG, Serdes.Integer().getClass());
        config.put(StreamsConfig.NUM_STANDBY_REPLICAS_CONFIG, 1);
        config.put(ConsumerConfig.MAX_POLL_RECORDS_CONFIG, 100);
        config.put(ConsumerConfig.HEARTBEAT_INTERVAL_MS_CONFIG, 200);
        config.put(ConsumerConfig.SESSION_TIMEOUT_MS_CONFIG, 1000);
        config.put(StreamsConfig.COMMIT_INTERVAL_MS_CONFIG, 100);
        return config;
    }
}
