Package io.debezium.embedded

Class AbstractConnectorTest

java.lang.Object
io.debezium.embedded.AbstractConnectorTest
All Implemented Interfaces:
Testing
Direct Known Subclasses:
AbstractEventRouterTest, AbstractIncrementalSnapshotTest, AbstractNotificationsIT, AbstractSchemaHistoryTest, EmbeddedEngineTest
public abstract class AbstractConnectorTest extends Object implements Testing
An abstract base class for unit testing SourceConnector implementations using the Debezium EmbeddedEngine with local file storage.

To use this abstract class, simply create a test class that extends it, and add one or more test methods that starts the connector using your connector's custom configuration. Then, your test methods can call consumeRecords(int, Consumer) to consume the specified number of records (the supplied function gives you a chance to do something with the record).

Author:
Randall Hauch

  • Field Details

    • skipTestRule

      public org.junit.rules.TestRule skipTestRule

    • OFFSET_STORE_PATH

      protected static final Path OFFSET_STORE_PATH

    • TEST_PROPERTY_PREFIX

      private static final String TEST_PROPERTY_PREFIX
      See Also:

    • executor

      private ExecutorService executor

    • engine

      protected io.debezium.embedded.EmbeddedEngine engine

    • consumedLines

      protected BlockingQueue<org.apache.kafka.connect.source.SourceRecord> consumedLines

    • pollTimeoutInMs

      protected long pollTimeoutInMs

    • logger

      protected final org.slf4j.Logger logger

    • latch

      private CountDownLatch latch

    • keyJsonConverter

      private org.apache.kafka.connect.json.JsonConverter keyJsonConverter

    • valueJsonConverter

      private org.apache.kafka.connect.json.JsonConverter valueJsonConverter

    • keyJsonDeserializer

      private org.apache.kafka.connect.json.JsonDeserializer keyJsonDeserializer

    • valueJsonDeserializer

      private org.apache.kafka.connect.json.JsonDeserializer valueJsonDeserializer

    • skipAvroValidation

      private boolean skipAvroValidation

    • logTestName

      public org.junit.rules.TestRule logTestName

  • Constructor Details

    • AbstractConnectorTest

      public AbstractConnectorTest()

  • Method Details

    • initializeConnectorTestFramework

      public final void initializeConnectorTestFramework()

    • stopConnector

      public final void stopConnector()
      Stop the connector and block until the connector has completely stopped.

    • stopConnector

      public void stopConnector(BooleanConsumer callback)
      Stop the connector, and return whether the connector was successfully stopped.
      Parameters:
      callback - the function that should be called with whether the connector was successfully stopped; may be null

    • getMaximumEnqueuedRecordCount

      protected int getMaximumEnqueuedRecordCount()
      Get the maximum number of messages that can be obtained from the connector and held in-memory before they are consumed by test methods using consumeRecord(), consumeRecords(int), or consumeRecords(int, Consumer).

      By default this method return 100.

      Returns:
      the maximum number of records that can be enqueued

    • loggingCompletion

      protected io.debezium.embedded.EmbeddedEngine.CompletionCallback loggingCompletion()
      Create a EmbeddedEngine.CompletionCallback that logs when the engine fails to start the connector or when the connector stops running after completing successfully or due to an error
      Returns:
      the logging EmbeddedEngine.CompletionCallback

    • start

      protected void start(Class<? extends org.apache.kafka.connect.source.SourceConnector> connectorClass, Configuration connectorConfig)
      Start the connector using the supplied connector configuration, where upon completion the status of the connector is logged.
      Parameters:
      connectorClass - the connector class; may not be null
      connectorConfig - the configuration for the connector; may not be null

    • startAndConsumeTillEnd

      protected void startAndConsumeTillEnd(Class<? extends org.apache.kafka.connect.source.SourceConnector> connectorClass, Configuration connectorConfig)
      Start the connector using the supplied connector configuration, where upon completion the status of the connector is logged. Records arriving after connector stop must not be ignored.
      Parameters:
      connectorClass - the connector class; may not be null
      connectorConfig - the configuration for the connector; may not be null

    • start

      protected void start(Class<? extends org.apache.kafka.connect.source.SourceConnector> connectorClass, Configuration connectorConfig, Predicate<org.apache.kafka.connect.source.SourceRecord> isStopRecord)
      Start the connector using the supplied connector configuration, where upon completion the status of the connector is logged. The connector will stop immediately when the supplied predicate returns true.
      Parameters:
      connectorClass - the connector class; may not be null
      connectorConfig - the configuration for the connector; may not be null
      isStopRecord - the function that will be called to determine if the connector should be stopped before processing this record; may be null if not needed

    • startAndConsumeTillEnd

      protected void startAndConsumeTillEnd(Class<? extends org.apache.kafka.connect.source.SourceConnector> connectorClass, Configuration connectorConfig, Predicate<org.apache.kafka.connect.source.SourceRecord> isStopRecord)
      Start the connector using the supplied connector configuration, where upon completion the status of the connector is logged. Records arriving after connector stop must not be ignored.
      Parameters:
      connectorClass - the connector class; may not be null
      connectorConfig - the configuration for the connector; may not be null
      isStopRecord - the function that will be called to determine if the connector should be stopped before processing this record; may be null if not needed

    • start

      protected void start(Class<? extends org.apache.kafka.connect.source.SourceConnector> connectorClass, Configuration connectorConfig, io.debezium.engine.DebeziumEngine.CompletionCallback callback)
      Start the connector using the supplied connector configuration.
      Parameters:
      connectorClass - the connector class; may not be null
      connectorConfig - the configuration for the connector; may not be null
      callback - the function that will be called when the engine fails to start the connector or when the connector stops running after completing successfully or due to an error; may be null

    • start

      protected void start(Class<? extends org.apache.kafka.connect.source.SourceConnector> connectorClass, Configuration connectorConfig, io.debezium.engine.DebeziumEngine.CompletionCallback callback, Predicate<org.apache.kafka.connect.source.SourceRecord> isStopRecord)
      Start the connector using the supplied connector configuration.
      Parameters:
      connectorClass - the connector class; may not be null
      connectorConfig - the configuration for the connector; may not be null
      isStopRecord - the function that will be called to determine if the connector should be stopped before processing this record; may be null if not needed
      callback - the function that will be called when the engine fails to start the connector or when the connector stops running after completing successfully or due to an error; may be null

    • start

      protected void start(Class<? extends org.apache.kafka.connect.source.SourceConnector> connectorClass, Configuration connectorConfig, io.debezium.engine.DebeziumEngine.ChangeConsumer changeConsumer)
      Start the connector using the supplied connector configuration.
      Parameters:
      connectorClass - the connector class; may not be null
      connectorConfig - the configuration for the connector; may not be null
      changeConsumer - DebeziumEngine.ChangeConsumer invoked when a record arrives and is stored in the queue

    • start

      protected void start(Class<? extends org.apache.kafka.connect.source.SourceConnector> connectorClass, Configuration connectorConfig, io.debezium.engine.DebeziumEngine.CompletionCallback callback, Predicate<org.apache.kafka.connect.source.SourceRecord> isStopRecord, Consumer<org.apache.kafka.connect.source.SourceRecord> recordArrivedListener, boolean ignoreRecordsAfterStop)
      Start the connector using the supplied connector configuration.
      Parameters:
      connectorClass - the connector class; may not be null
      connectorConfig - the configuration for the connector; may not be null
      isStopRecord - the function that will be called to determine if the connector should be stopped before processing this record; may be null if not needed
      callback - the function that will be called when the engine fails to start the connector or when the connector stops running after completing successfully or due to an error; may be null
      recordArrivedListener - function invoked when a record arrives and is stored in the queue
      ignoreRecordsAfterStop - true if records arriving after stop should be ignored

    • start

      protected void start(Class<? extends org.apache.kafka.connect.source.SourceConnector> connectorClass, Configuration connectorConfig, io.debezium.engine.DebeziumEngine.CompletionCallback callback, Predicate<org.apache.kafka.connect.source.SourceRecord> isStopRecord, Consumer<org.apache.kafka.connect.source.SourceRecord> recordArrivedListener, boolean ignoreRecordsAfterStop, io.debezium.engine.DebeziumEngine.ChangeConsumer changeConsumer)
      Start the connector using the supplied connector configuration.
      Parameters:
      connectorClass - the connector class; may not be null
      connectorConfig - the configuration for the connector; may not be null
      isStopRecord - the function that will be called to determine if the connector should be stopped before processing this record; may be null if not needed
      callback - the function that will be called when the engine fails to start the connector or when the connector stops running after completing successfully or due to an error; may be null
      recordArrivedListener - function invoked when a record arrives and is stored in the queue
      ignoreRecordsAfterStop - true if records arriving after stop should be ignored
      changeConsumer - DebeziumEngine.ChangeConsumer invoked when a record arrives and is stored in the queue

    • waitForNotInitialState

      protected void waitForNotInitialState()
      Wait until the Task state it not BaseSourceTask.State.INITIAL. This indicates that the task has been polled and the internal tasks startIfNecessary method has been called.

      This methos will return immediately if the task is not an instance of BaseSourceTask.

    • getConsumer

      protected Consumer<org.apache.kafka.connect.source.SourceRecord> getConsumer(Predicate<org.apache.kafka.connect.source.SourceRecord> isStopRecord, Consumer<org.apache.kafka.connect.source.SourceRecord> recordArrivedListener, boolean ignoreRecordsAfterStop)

    • setConsumeTimeout

      protected void setConsumeTimeout(long timeout, TimeUnit unit)
      Set the maximum amount of time that the consumeRecord(), consumeRecords(int), and consumeRecords(int, Consumer) methods block while waiting for each record before returning null.
      Parameters:
      timeout - the timeout; must be positive
      unit - the time unit; may not be null

    • consumeRecord

      protected org.apache.kafka.connect.source.SourceRecord consumeRecord() throws InterruptedException
      Consume a single record from the connector.
      Returns:
      the next record that was returned from the connector, or null if no such record has been produced by the connector
      Throws:
      InterruptedException - if the thread was interrupted while waiting for a record to be returned

    • consumeRecords

      protected int consumeRecords(int numberOfRecords) throws InterruptedException
      Try to consume the specified number of records from the connector, and return the actual number of records that were consumed. Use this method when your test does not care what the records might contain.
      Parameters:
      numberOfRecords - the number of records that should be consumed
      Returns:
      the actual number of records that were consumed
      Throws:
      InterruptedException - if the thread was interrupted while waiting for a record to be returned

    • consumeRecords

      protected int consumeRecords(int numberOfRecords, int breakAfterNulls, Consumer<org.apache.kafka.connect.source.SourceRecord> recordConsumer, boolean assertRecords) throws InterruptedException
      Try to consume the specified number of records from the connector, calling the given function for each, and return the actual number of records that were consumed. For slower connectors it is possible to receive no records from the connector multiple times in a row till the waiting is terminated.
      Parameters:
      numberOfRecords - the number of records that should be consumed
      breakAfterNulls - the number of allowed runs when no records are received
      recordConsumer - the function that should be called with each consumed record
      assertRecords - true if records serialization should be verified
      Returns:
      the actual number of records that were consumed
      Throws:
      InterruptedException - if the thread was interrupted while waiting for a record to be returned

    • consumeRecordsUntil

      protected int consumeRecordsUntil(BiPredicate<Integer,org.apache.kafka.connect.source.SourceRecord> condition, BiFunction<Integer,org.apache.kafka.connect.source.SourceRecord,String> logMessage, int breakAfterNulls, Consumer<org.apache.kafka.connect.source.SourceRecord> recordConsumer, boolean assertRecords) throws InterruptedException
      Try to consume the records from the connector, until a condition is satisfied. For slower connectors it is possible to receive no records from the connector multiple times in a row till the waiting is terminated.
      Parameters:
      condition - the condition that decides that consuming has finished
      logMessage - diagnostic message printed
      breakAfterNulls - the number of allowed runs when no records are received
      recordConsumer - the function that should be called with each consumed record
      assertRecords - true if records serialization should be verified
      Returns:
      the actual number of records that were consumed
      Throws:
      InterruptedException - if the thread was interrupted while waiting for a record to be returned

    • consumeRecords

      protected int consumeRecords(int numberOfRecords, Consumer<org.apache.kafka.connect.source.SourceRecord> recordConsumer) throws InterruptedException
      Try to consume the specified number of records from the connector, calling the given function for each, and return the actual number of records that were consumed. For slower connectors it is possible to receive no records from the connector at most 3 times in a row till the waiting is terminated.
      Parameters:
      numberOfRecords - the number of records that should be consumed
      recordConsumer - the function that should be called with each consumed record
      Returns:
      the actual number of records that were consumed
      Throws:
      InterruptedException - if the thread was interrupted while waiting for a record to be returned

    • consumeRecordsByTopic

      protected AbstractConnectorTest.SourceRecords consumeRecordsByTopic(int numRecords, int breakAfterNulls) throws InterruptedException
      Try to consume and capture exactly the specified number of records from the connector.
      Parameters:
      numRecords - the number of records that should be consumed
      breakAfterNulls - how many times to wait when no records arrive from the connector
      Returns:
      the collector into which the records were captured; never null
      Throws:
      InterruptedException - if the thread was interrupted while waiting for a record to be returned

    • consumeRecordsByTopic

      protected AbstractConnectorTest.SourceRecords consumeRecordsByTopic(int numRecords) throws InterruptedException
      Try to consume and capture exactly the specified number of records from the connector.
      Parameters:
      numRecords - the number of records that should be consumed
      Returns:
      the collector into which the records were captured; never null
      Throws:
      InterruptedException - if the thread was interrupted while waiting for a record to be returned

    • consumeRecordsButSkipUntil

      protected AbstractConnectorTest.SourceRecords consumeRecordsButSkipUntil(int recordsToRead, BiPredicate<org.apache.kafka.connect.data.Struct,org.apache.kafka.connect.data.Struct> tripCondition) throws InterruptedException
      Try to consume and capture exactly the specified number of records from the connector. The initial records are skipped until the condition is satisfied. This is most useful in corner cases when there can be a duplicate records between snapshot and streaming switch.
      Parameters:
      numRecords - the number of records that should be consumed
      tripCondition - condition to satisfy to stop skipping records
      Returns:
      the collector into which the records were captured; never null
      Throws:
      InterruptedException - if the thread was interrupted while waiting for a record to be returned

    • consumeRecordsByTopicUntil

      protected AbstractConnectorTest.SourceRecords consumeRecordsByTopicUntil(BiPredicate<Integer,org.apache.kafka.connect.source.SourceRecord> condition) throws InterruptedException
      Try to consume and capture records untel a codition is satisfied.
      Parameters:
      condition - contition that must be satisifed to terminate reading
      Returns:
      the collector into which the records were captured; never null
      Throws:
      InterruptedException - if the thread was interrupted while waiting for a record to be returned

    • consumeRecordsByTopic

      protected AbstractConnectorTest.SourceRecords consumeRecordsByTopic(int numRecords, boolean assertRecords) throws InterruptedException
      Try to consume and capture exactly the specified number of records from the connector.
      Parameters:
      numRecords - the number of records that should be consumed
      Returns:
      the collector into which the records were captured; never null
      Throws:
      InterruptedException - if the thread was interrupted while waiting for a record to be returned

    • consumeDmlRecordsByTopic

      protected AbstractConnectorTest.SourceRecords consumeDmlRecordsByTopic(int numDmlRecords) throws InterruptedException
      Try to consume and capture exactly the specified number of Dml records from the connector. While transaction metadata topic records are captured by this method, the numDmlRecords should not include the expected number of records emitted to the transaction topic.
      Parameters:
      numDmlRecords - the number of Dml records that should be consumed
      Returns:
      the collector to which the records were captured; never null
      Throws:
      InterruptedException - if the thread was interrupted while waiting for a record to be returned

    • consumeDmlRecordsByTopic

      protected int consumeDmlRecordsByTopic(int numberDmlRecords, Consumer<org.apache.kafka.connect.source.SourceRecord> recordConsumer) throws InterruptedException
      Try to consume the specified number of records from the connector, calling the given function for each, and return the actual number of Dml records that were consumed. For slower connectors it is possible to receive no records from the connector at most 3 times in a row till the waiting is terminated.
      Parameters:
      numberDmlRecords - the number of Dml records that should be consumed
      recordConsumer - the function that should be called for each consumed record
      Returns:
      the actual number of Dml records that were consumed
      Throws:
      InterruptedException - if the thread was interrupted while waiting for a record to be returned

    • consumeDmlRecordsByTopic

      protected int consumeDmlRecordsByTopic(int numberOfRecords, int breakAfterNulls, Consumer<org.apache.kafka.connect.source.SourceRecord> recordConsumer, boolean assertRecords) throws InterruptedException
      Try to consume the specified number of records from the connector, calling the given function for each, and return the actual number of Dml records that were consumed. For slower connectors it is possible to receive no records from the connector at most 3 times in a row until the waiting is terminated. Additionally, while this method will consume and append transaction metadata topic records to the consumer, the returned value only considers Dml records.
      Parameters:
      numberOfRecords - the number of Dml records that should be consumed
      breakAfterNulls - the number of allowed run when no records are consumed
      recordConsumer - the function that should be called for each consumed record
      assertRecords - true if records serialization should be verified
      Returns:
      the actual number of Dml records that were consumed
      Throws:
      InterruptedException - if the thread was interrupted while waiting for a record to be returned

    • isTransactionRecord

      protected boolean isTransactionRecord(org.apache.kafka.connect.source.SourceRecord record)

    • consumeAvailableRecords

      protected int consumeAvailableRecords(Consumer<org.apache.kafka.connect.source.SourceRecord> recordConsumer)
      Try to consume all of the messages that have already been returned by the connector.
      Parameters:
      recordConsumer - the function that should be called with each consumed record
      Returns:
      the number of records that were consumed

    • waitForAvailableRecords

      protected boolean waitForAvailableRecords(long timeout, TimeUnit unit)
      Wait for a maximum amount of time until the first record is available.
      Parameters:
      timeout - the maximum amount of time to wait; must not be negative
      unit - the time unit for timeout
      Returns:
      true if records are available, or false if the timeout occurred and no records are available

    • skipAvroValidation

      protected void skipAvroValidation()
      Disable record validation using Avro converter.

    • assertConnectorIsRunning

      protected void assertConnectorIsRunning()
      Assert that the connector is currently running.

    • assertConnectorNotRunning

      protected void assertConnectorNotRunning()
      Assert that the connector is NOT currently running.

    • assertNoRecordsToConsume

      protected void assertNoRecordsToConsume()
      Assert that there are no records to consume.

    • assertOnlyTransactionRecordsToConsume

      protected void assertOnlyTransactionRecordsToConsume()
      Assert that there are only transaction topic records to be consumed.

    • assertKey

      protected void assertKey(org.apache.kafka.connect.source.SourceRecord record, String pkField, int pk)

    • assertInsert

      protected void assertInsert(org.apache.kafka.connect.source.SourceRecord record, String pkField, int pk)

    • assertUpdate

      protected void assertUpdate(org.apache.kafka.connect.source.SourceRecord record, String pkField, int pk)

    • assertDelete

      protected void assertDelete(org.apache.kafka.connect.source.SourceRecord record, String pkField, int pk)

    • assertSourceQuery

      protected void assertSourceQuery(org.apache.kafka.connect.source.SourceRecord record, String query)

    • assertHasNoSourceQuery

      protected void assertHasNoSourceQuery(org.apache.kafka.connect.source.SourceRecord record)

    • assertTombstone

      protected void assertTombstone(org.apache.kafka.connect.source.SourceRecord record, String pkField, int pk)

    • assertTombstone

      protected void assertTombstone(org.apache.kafka.connect.source.SourceRecord record)

    • assertOffset

      protected void assertOffset(org.apache.kafka.connect.source.SourceRecord record, Map<String,?> expectedOffset)

    • assertOffset

      protected void assertOffset(org.apache.kafka.connect.source.SourceRecord record, String offsetField, Object expectedValue)

    • assertValueField

      protected void assertValueField(org.apache.kafka.connect.source.SourceRecord record, String fieldPath, Object expectedValue)

    • assertSameValue

      private void assertSameValue(Object actual, Object expected)

    • assertSchemaMatchesStruct

      protected void assertSchemaMatchesStruct(org.apache.kafka.connect.data.SchemaAndValue value)
      Assert that the supplied Struct is valid and its schema matches that of the supplied schema.
      Parameters:
      value - the value with a schema; may not be null

    • assertSchemaMatchesStruct

      protected void assertSchemaMatchesStruct(org.apache.kafka.connect.data.Struct struct, org.apache.kafka.connect.data.Schema schema)
      Assert that the supplied Struct is valid and its schema matches that of the supplied schema.
      Parameters:
      struct - the Struct to validate; may not be null
      schema - the expected schema of the Struct; may not be null

    • assertEngineIsRunning

      protected void assertEngineIsRunning()
      Assert that there was no exception in engine that would cause its termination.

    • validate

      protected void validate(org.apache.kafka.connect.source.SourceRecord record)
      Validate that a SourceRecord's key and value can each be converted to a byte[] and then back to an equivalent SourceRecord.
      Parameters:
      record - the record to validate; may not be null

    • print

      protected void print(org.apache.kafka.connect.source.SourceRecord record)

    • debug

      protected void debug(org.apache.kafka.connect.source.SourceRecord record)

    • assertConfigurationErrors

      protected void assertConfigurationErrors(org.apache.kafka.common.config.Config config, Field field, int numErrors)

    • assertConfigurationErrors

      protected void assertConfigurationErrors(org.apache.kafka.common.config.Config config, Field field, int minErrorsInclusive, int maxErrorsInclusive)

    • assertConfigurationErrors

      protected void assertConfigurationErrors(org.apache.kafka.common.config.Config config, Field field)

    • assertNoConfigurationErrors

      protected void assertNoConfigurationErrors(org.apache.kafka.common.config.Config config, Field... fields)

    • configValue

      protected org.apache.kafka.common.config.ConfigValue configValue(org.apache.kafka.common.config.Config config, String fieldName)

    • readLastCommittedOffset

      protected <T> Map<String,Object> readLastCommittedOffset(Configuration config, Map<String,T> partition)
      Utility to read the last committed offset for the specified partition.
      Parameters:
      config - the configuration of the engine used to persist the offsets
      partition - the partition
      Returns:
      the map of partitions to offsets; never null but possibly empty

    • readLastCommittedOffsets

      protected <T> Map<Map<String,T>,Map<String,Object>> readLastCommittedOffsets(Configuration config, Collection<Map<String,T>> partitions)
      Utility to read the last committed offsets for the specified partitions.
      Parameters:
      config - the configuration of the engine used to persist the offsets
      partitions - the partitions
      Returns:
      the map of partitions to offsets; never null but possibly empty

    • assertBeginTransaction

      protected String assertBeginTransaction(org.apache.kafka.connect.source.SourceRecord record)

    • assertEndTransaction

      protected void assertEndTransaction(org.apache.kafka.connect.source.SourceRecord record, String expectedTxId, long expectedEventCount, Map<String,Number> expectedPerTableCount)

    • assertRecordTransactionMetadata

      protected void assertRecordTransactionMetadata(org.apache.kafka.connect.source.SourceRecord record, String expectedTxId, long expectedTotalOrder, long expectedCollectionOrder)

    • waitTimeForRecords

      public static int waitTimeForRecords()

    • waitTimeForRecordsAfterNulls

      public static int waitTimeForRecordsAfterNulls()

    • waitForSnapshotToBeCompleted

      public static void waitForSnapshotToBeCompleted(String connector, String server) throws InterruptedException
      Throws:
      InterruptedException

    • waitForSnapshotToBeCompleted

      public static void waitForSnapshotToBeCompleted(String connector, String server, String task, String database) throws InterruptedException
      Throws:
      InterruptedException

    • waitForSnapshotEvent

      private static void waitForSnapshotEvent(String connector, String server, String event, String task, String database) throws InterruptedException
      Throws:
      InterruptedException

    • waitForStreamingRunning

      public static void waitForStreamingRunning(String connector, String server) throws InterruptedException
      Throws:
      InterruptedException

    • waitForStreamingRunning

      public static void waitForStreamingRunning(String connector, String server, String contextName)

    • waitForConnectorShutdown

      public static void waitForConnectorShutdown(String connector, String server)

    • isStreamingRunning

      public static boolean isStreamingRunning(String connector, String server)

    • isStreamingRunning

      public static boolean isStreamingRunning(String connector, String server, String contextName)

    • getSnapshotMetricsObjectName

      public static ObjectName getSnapshotMetricsObjectName(String connector, String server) throws MalformedObjectNameException
      Throws:
      MalformedObjectNameException

    • getSnapshotMetricsObjectName

      public static ObjectName getSnapshotMetricsObjectName(String connector, String server, String task, String database) throws MalformedObjectNameException
      Throws:
      MalformedObjectNameException

    • getStreamingMetricsObjectName

      public static ObjectName getStreamingMetricsObjectName(String connector, String server) throws MalformedObjectNameException
      Throws:
      MalformedObjectNameException

    • getStreamingMetricsObjectName

      public static ObjectName getStreamingMetricsObjectName(String connector, String server, String context) throws MalformedObjectNameException
      Throws:
      MalformedObjectNameException

    • getStreamingNamespace

      protected static String getStreamingNamespace()