wanglijie95 commented on code in PR #22966: URL: https://github.com/apache/flink/pull/22966#discussion_r1260500938
########## flink-table/flink-table-api-java/src/main/java/org/apache/flink/table/api/config/OptimizerConfigOptions.java: ########## @@ -165,6 +167,51 @@ public class OptimizerConfigOptions { "When it is true, the optimizer will try to push dynamic filtering into scan table source," + " the irrelevant partitions or input data will be filtered to reduce scan I/O in runtime."); + @Documentation.TableOption(execMode = Documentation.ExecMode.BATCH) + public static final ConfigOption<Boolean> TABLE_OPTIMIZER_RUNTIME_FILTER_ENABLED = + key("table.optimizer.runtime-filter.enabled") + .booleanType() + .defaultValue(false) Review Comment: We hope to enable this feature by default in future releases. But in 1.18, it will be disabled by default. ########## flink-table/flink-table-api-java/src/main/java/org/apache/flink/table/api/config/OptimizerConfigOptions.java: ########## @@ -165,6 +167,51 @@ public class OptimizerConfigOptions { "When it is true, the optimizer will try to push dynamic filtering into scan table source," + " the irrelevant partitions or input data will be filtered to reduce scan I/O in runtime."); + @Documentation.TableOption(execMode = Documentation.ExecMode.BATCH) + public static final ConfigOption<Boolean> TABLE_OPTIMIZER_RUNTIME_FILTER_ENABLED = + key("table.optimizer.runtime-filter.enabled") + .booleanType() + .defaultValue(false) + .withDescription( + "A flag to enable or disable the runtime filter. " + + "When it is true, the optimizer will try to inject a runtime filter for eligible join."); + + @Documentation.TableOption(execMode = Documentation.ExecMode.BATCH) + public static final ConfigOption<MemorySize> + TABLE_OPTIMIZER_RUNTIME_FILTER_MAX_BUILD_DATA_SIZE = + key("table.optimizer.runtime-filter.max-build-data-size") + .memoryType() + .defaultValue(MemorySize.parse("10m")) + .withDescription( + "Data volume threshold of the runtime filter build side. " Review Comment: Fixed -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: issues-unsubscr...@flink.apache.org For queries about this service, please contact Infrastructure at: us...@infra.apache.org