Flink的固定延迟重试策略可以设置3天,并且启用"Enable Delayed Retry Strategy For Lookup"后的性能表现取决于具体的应用场景和配置。 首先,关于Flink固定延迟重试策略的设置问题,Flink确实支持固定延迟重启策略,该策略会尝试给定次数来重启Job。如果超过最大重启次数,Job最终将宣告失败。在连续两次重启尝试之间,会有一个固...
[29]https://nightlies.apache.org/flink/flink-docs-master/docs/dev/table/sql/queries/hints/#2-configure-the-async-parameters [30]https://nightlies.apache.org/flink/flink-docs-master/docs/dev/table/sql/queries/hints/#3-enable-delayed-retry-strategy-for-lookup [31]https://nightlies.apache.org/...
[29]https://nightlies.apache.org/flink/flink-docs-master/docs/dev/table/sql/queries/hints/#2-configure-the-async-parameters [30]https://nightlies.apache.org/flink/flink-docs-master/docs/dev/table/sql/queries/hints/#3-enable-delayed-retry-strategy-for-lookup [31]https://nightlies.apache.org/...
另外如果可以使用 lookup join 单边驱动关联并且不是所有数据都需要等待的话,可以尝试 lookup join 的延迟重试https://nightlies.apache.org/flink/flink-docs-release-1.16/docs/dev/table/sql/queries/hints/#3-enable-delayed-retry-strategy-for-lookup Best, Lincoln Lee casel.chen <casel_c...@126.com> 于...
WATERMARK FOR rowtime_column_name AS watermark_strategy_expression <like_options>: { { INCLUDING | EXCLUDING } { ALL | CONSTRAINTS | PARTITIONS } | { INCLUDING | EXCLUDING | OVERWRITING } { GENERATED | OPTIONS | WATERMARKS } }[, ...] ...
(CompletableFuture.java:1977) at org.apache.pulsar.client.admin.internal.http.AsyncHttpConnector.lambda$retryOperation$4(AsyncHttpConnector.java:247) at java.util.concurrent.CompletableFuture.uniWhenComplete(CompletableFuture.java:760) at java.util.concurrent.CompletableFuture$UniWhenComplete.tryFire(...
It is suggested to set a small value for this expiration, since a transient error in group lookup could temporarily lock out a legitimate user. Set this to zero or negative value to disable negative user-to-group caching. </description> </prop...
(FLIP-232) • Support Retryable Lookup Join To Solve Delayed Updates Issue In External Systems (FLP-234) 引入可重试机制解决维表延迟更新造成的正确性和稳定性问题 更稳定高性能的维表查询能力 支持了更多的 DDL • CREATE FUNCTION USING JAR (FLIP-214) 支持动态加载用户的JAR ,方便平台用户管理用户...
事件时间:事件时间是原表中的一个字段。对于CDC数据来说,比如从MySQLCDC同步的表或者Paimon生成的Changelogs,它们都是完整的CDC数据,包括UPDATE_BEFORE记录,即使你声明了包含分区字段的主键,也能达到独特的效果。 CDC op_ts:不能定义为分区字段,无法知道之前的记录时间戳。
lookup join 为了提高性能,lookup 的连接器会将查询过的维表数据进行缓存(默认未开启此机制), 可以通过参数开启,比如 jdbc-connector 的 lookup 模式下,有如下参数: lookup.cache.max-rows = (none) 未开启 lookup.cache.ttl = (none) ttl 缓存清除的时长 以JdbcDynamicTableSource 为例 PUBLIC CLAS...