Debezium не может сделать снимок большого размера таблицы - PullRequest
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Debezium не может сделать снимок большого размера таблицы

0 голосов
/ 25 апреля 2019

Я думаю, что, возможно, пропустил какую-то конфигурацию, но мы пытаемся использовать Debezium для создания снимка всех строк в таблице, содержащей около 8 миллионов записей, и через некоторое время она останавливается.

Конфигурация соединителя: 

{
   "connector.class":"io.debezium.connector.mysql.MySqlConnector",
   "database.user":"MyUser",
   "database.server.id":"12345",
   "tasks.max":"1",
   "database.history.kafka.bootstrap.servers":"MyKafka:9092",
   "database.history.kafka.topic":"MyConnectorHistory",
   "database.server.name":"MyDbName",
   "database.port":"3306",
   "table.whitelist":"BigTable",
   "decimal.handling.mode":"double",
   "database.hostname":"***",
   "database.password":"***",
   "name":"MyConnector",
   "database.whitelist":"MyDb",
   "snapshot.mode":"initial_only",
   "connect.timeout.ms":"60000"
}

Соединитель начинает сканировать строки: 

  April 24th 2019, 13:06:52.573 2019-04-24 16:06:52,569 INFO   MySQL|MyDbName|snapshot  Step 9: - 2040000 of 8609643 rows scanned from table 'MyDb.BigTable' after 00:59:29.129   [io.debezium.connector.mysql.SnapshotReader]
  ... other prints
  April 24th 2019, 12:17:28.448 2019-04-24 15:17:28,447 INFO   MySQL|MyDbName|snapshot  Step 9: - 50000 of 8609643 rows scanned from table 'MyDb.BigTable' after 00:10:05.008   [io.debezium.connector.mysql.SnapshotReader]
    April 24th 2019, 12:07:43.183   2019-04-24 15:07:43,183 INFO   MySQL|MyDbName|snapshot  Step 9: - 40000 of 8609643 rows scanned from table 'MyDb.BigTable' after 00:00:19.744   [io.debezium.connector.mysql.SnapshotReader]
    April 24th 2019, 12:07:36.499   2019-04-24 15:07:36,498 INFO   MySQL|MyDbName|snapshot  Step 9: - 30000 of 8609643 rows scanned from table 'MyDb.BigTable' after 00:00:13.059   [io.debezium.connector.mysql.SnapshotReader]
    April 24th 2019, 12:07:30.157   2019-04-24 15:07:30,157 INFO   MySQL|MyDbName|snapshot  Step 9: - 20000 of 8609643 rows scanned from table 'MyDb.BigTable' after 00:00:06.718   [io.debezium.connector.mysql.SnapshotReader]
    April 24th 2019, 12:07:25.116   2019-04-24 15:07:25,116 INFO   MySQL|MyDbName|snapshot  Step 9: - 10000 of 8609643 rows scanned from table 'MyDb.BigTable' after 00:00:01.677   [io.debezium.connector.mysql.SnapshotReader]
    April 24th 2019, 12:07:23.439   2019-04-24 15:07:23,439 INFO   MySQL|MyDbName|snapshot  Step 9: - scanning table 'MyDb.BigTable' (1 of 10 tables)   [io.debezium.connector.mysql.SnapshotReader]
    April 24th 2019, 12:07:23.427   2019-04-24 15:07:23,427 INFO   MySQL|MyDbName|snapshot  Step 8: tables were locked explicitly, but to get a consistent snapshot we cannot release the locks until we've read all tables.   [io.debezium.connector.mysql.SnapshotReader]
    April 24th 2019, 12:07:23.427   2019-04-24 15:07:23,427 INFO   MySQL|MyDbName|snapshot  Step 9: scanning contents of 10 tables while still in transaction   [io.debezium.connector.mysql.SnapshotReader]
    April 24th 2019, 12:07:23.143   2019-04-24 15:07:23,143 INFO   MySQL|MyDbName|snapshot  Step 7: generating DROP and CREATE statements to reflect current database schemas:   [io.debezium.connector.mysql.SnapshotReader]
    April 24th 2019, 12:07:23.142   2019-04-24 15:07:23,142 INFO   MySQL|MyDbName|snapshot  Step 6: read binlog position of MySQL master   [io.debezium.connector.mysql.SnapshotReader]
    April 24th 2019, 12:07:22.739   2019-04-24 15:07:22,739 INFO   MySQL|MyDbName|snapshot  Step 5: flush and obtain read lock for 10 tables (preventing writes)   [io.debezium.connector.mysql.SnapshotReader]
    April 24th 2019, 12:07:22.635   2019-04-24 15:07:22,635 INFO   MySQL|MyDbName|snapshot  Step 4: read list of available tables in each database   [io.debezium.connector.mysql.SnapshotReader]
    April 24th 2019, 12:07:22.633   2019-04-24 15:07:22,633 INFO   MySQL|MyDbName|snapshot  Step 3: read list of available databases   [io.debezium.connector.mysql.SnapshotReader]
    April 24th 2019, 12:07:22.632   2019-04-24 15:07:22,632 INFO   MySQL|MyDbName|snapshot  Step 2: start transaction with consistent snapshot   [io.debezium.connector.mysql.SnapshotReader]
    April 24th 2019, 12:07:22.632   2019-04-24 15:07:22,631 INFO   MySQL|MyDbName|snapshot  Step 1: unable to flush and acquire global read lock, will use table read locks after reading table names   [io.debezium.connector.mysql.SnapshotReader]
    April 24th 2019, 12:07:22.617   2019-04-24 15:07:22,617 INFO   MySQL|MyDbName|snapshot  Step 1: flush and obtain global read lock to prevent writes to database   [io.debezium.connector.mysql.SnapshotReader]

Затем через некоторое время мы получаем 

    Failed to flush, timed out while waiting for producer to flush outstanding 4094 messages
    Failed to commit offsets   [org.apache.kafka.connect.runtime.SourceTaskOffsetCommitter]

Затем сканирование останавливается, и у нас есть несколько попыток сбросить смещения фиксации снова: 

  April 24th 2019, 12:34:08.641 2019-04-24 15:34:08,641 ERROR  ||  WorkerSourceTask{id=MyConnectorr-0} Failed to commit offsets   [org.apache.kafka.connect.runtime.SourceTaskOffsetCommitter]
    April 24th 2019, 12:34:08.640   2019-04-24 15:34:08,640 ERROR  ||  WorkerSourceTask{id=MyConnectorr-0} Failed to flush, timed out while waiting for producer to flush outstanding 5560 messages   [org.apache.kafka.connect.runtime.WorkerSourceTask]
    April 24th 2019, 12:33:18.640   2019-04-24 15:33:18,640 INFO   ||  WorkerSourceTask{id=MyConnectorr-0} Committing offsets   [org.apache.kafka.connect.runtime.WorkerSourceTask]
    April 24th 2019, 12:33:18.640   2019-04-24 15:33:18,640 INFO   ||  WorkerSourceTask{id=MyConnectorr-0} flushing 5560 outstanding messages for offset commit   [org.apache.kafka.connect.runtime.WorkerSourceTask]
    April 24th 2019, 12:32:18.640   2019-04-24 15:32:18,640 ERROR  ||  WorkerSourceTask{id=MyConnectorr-0} Failed to commit offsets   [org.apache.kafka.connect.runtime.SourceTaskOffsetCommitter]
    April 24th 2019, 12:32:18.639   2019-04-24 15:32:18,639 ERROR  ||  WorkerSourceTask{id=MyConnectorr-0} Failed to flush, timed out while waiting for producer to flush outstanding 5560 messages   [org.apache.kafka.connect.runtime.WorkerSourceTask]
    April 24th 2019, 12:31:28.639   2019-04-24 15:31:28,639 INFO   ||  WorkerSourceTask{id=MyConnectorr-0} Committing offsets   [org.apache.kafka.connect.runtime.WorkerSourceTask]
    April 24th 2019, 12:31:28.639   2019-04-24 15:31:28,639 INFO   ||  WorkerSourceTask{id=MyConnectorr-0} flushing 5560 outstanding messages for offset commit   [org.apache.kafka.connect.runtime.WorkerSourceTask]
    April 24th 2019, 12:30:28.639   2019-04-24 15:30:28,639 ERROR  ||  WorkerSourceTask{id=MyConnectorr-0} Failed to commit offsets   [org.apache.kafka.connect.runtime.SourceTaskOffsetCommitter]
    April 24th 2019, 12:30:28.636   2019-04-24 15:30:28,635 ERROR  ||  WorkerSourceTask{id=MyConnectorr-0} Failed to flush, timed out while waiting for producer to flush outstanding 652 messages   [org.apache.kafka.connect.runtime.WorkerSourceTask]
    April 24th 2019, 12:29:38.635   2019-04-24 15:29:38,635 INFO   ||  WorkerSourceTask{id=MyConnectorr-0} flushing 5556 outstanding messages for offset commit   [org.apache.kafka.connect.runtime.WorkerSourceTask]
    April 24th 2019, 12:29:38.635   2019-04-24 15:29:38,635 INFO   ||  WorkerSourceTask{id=MyConnectorr-0} Committing offsets

Через некоторое время (около 9 ~ 10 минут) оно кажется успешным и начинает сканировать строки снова,Но через некоторое время он снова выходит из строя, и затем, не завершив все записи, соединитель меняет свой статус на FAIL

Одна из ошибок была 

{
   "name":"MyConnector",
   "connector":{
      "state":"RUNNING",
      "worker_id":"svc.cluster.local:8083"
   },
   "tasks":[
      {
         "state":"FAILED",
         "trace":"org.apache.kafka.connect.errors.ConnectException: OffsetStorageWriter is already flushing\n\tat org.apache.kafka.connect.storage.OffsetStorageWriter.beginFlush(OffsetStorageWriter.java:110)\n\tat org.apache.kafka.connect.runtime.WorkerSourceTask.commitOffsets(WorkerSourceTask.java:318)\n\tat org.apache.kafka.connect.runtime.WorkerSourceTask.execute(WorkerSourceTask.java:197)\n\tat org.apache.kafka.connect.runtime.WorkerTask.doRun(WorkerTask.java:170)\n\tat org.apache.kafka.connect.runtime.WorkerTask.run(WorkerTask.java:214)\n\tat java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)\n\tat java.util.concurrent.FutureTask.run(FutureTask.java:266)\n\tat java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)\n\tat java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)\n\tat java.lang.Thread.run(Thread.java:748)\n",
         "id":0,
         "worker_id":"svc.cluster.local:8083"
      }
   ],
   "type":"source"
}

Я прочитал эту проблему: https://github.com/confluentinc/kafka-connect-jdbc/issues/161 и попытался изменить значения параметров, как предложено.Это лучше, но он все еще терпит неудачу после некоторого времени: На данный момент моя конфигурация подключения: 

OFFSET_FLUSH_INTERVAL_MS: 60000
OFFSET_FLUSH_TIMEOUT_MS: 50000
CONNECT_PRODUCER_BUFFER_MEMORY: 45554432

Я также попробовал эти значения, описанные здесь: Тайм-аут сброса Debezium и ошибки OutOfMemoryError с MySQL

Одна вещь, которую я еще не пробовал, - это использование параметра snapshot.select.statement.overrides.Но я не уверен, что это поможет, потому что иногда проблема смещения фиксации возникает при сообщениях 100k.Я должен был бы возобновить и остановить разъем много раз.

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