Configuring SQL job settings

If you need to further customize your SQL Stream job, you can add more advanced features to configure the job restarting method and time, threads for parallelism, sample behavior, exatly once processing and restoring from savepoint.

Before running a SQL query, you can configure advanced features by clicking on the Settings tabs at the SQL window.

Job parallelism (threads)

The number of threads to start to process the job. Each thread consumes a slot on the cluster. When the Job Parallelism is set to 1, the job consumes the least resources. If the data provired supports parallel reads, increasing the parallelism can raise the maximum throughput. For example, when using Kafka as a data provider, setting the parallelism to the equal number as the partitions of the topic can be a starting point for performance tuning.

Sample Count

The number of sample entries shown under the Results tab. To have an unlimited number of sample entries, add 0 to the Sample Count value.

Sample Window Size

The number of sample entries to keep in under the Results tab. To have an unlimited number of sample entries, add 0 to the Sample Window Size value.

Sample Behavior

You have the following options to choose the behavior of the sampled data under the Results tab:

Sample all messages
Sample one message every second
Sample one message every five seconds

Restore From Savepoint

You can enable or disable restoring a SQL job from a Flink savepoint after stopping it. The savepoint is saved under hdfs:///user/flink/savepoints by default.