Webif (throwable != null) { if (throwable instanceof CancellationException) { resultFuture.completeExceptionally(new RetryException ("Operation future was … WebApr 14, 2024 · FAQ-Timed out: cannot complete before timeout; FAQ-field doesn't exist in the parameters of SQL s; FAQ-Task did not exit gracefully within 180 + FAQ-Can not retract a non-existent record. INFO-FLINK SQL 中的时区转换; FAQ-Failed to take leadership with session id; Kafka. INFO-kafka常用指令; Kudu; 数据库. MySQL. FAQ-列字段存在 ...
[Bug] org.apache.flink.table.api.TableException ... - Github
Web2 days ago · Created on April 7, 2024. We couldn't complete the action for the PivotTable "PivotTable1" in "Tables" because there's already a PivotTable "PivotTable2" there. Make space and try again. In my workbook, I have a sheet with a lot of data: 595,258 rows and 22 columns. I made a PivotTable in a new sheet and tried to set the rows as dates (one of ... WebApr 3, 2024 · Caused by: org.apache.flink.table.api.ValidationException: Could not find any factory for identifier 'jdbc' that implements 'org.apache.flink.table.factories.DynamicTableFactory' in the classpath. Available factory identifiers are: blackhole datagen filesystem hudi kafka mysql-cdc print upsert-kafka simpson speed bandit full face helmet
org.apache.flink.runtime.concurrent.FutureUtils ... - Tabnine
Weborg.apache.flink.streaming.connectors.kafka.FlinkKafkaException: Failed to send data to Kafka: Pending record count must be zero at this point: 5592 Complete exception information: java.io.IOException: Could not perform checkpoint 2273 for operator filterRuleProcess -> Sink: data_filter_sink (1/1)#1477. WebJun 9, 2024 · Failure reason: Checkpoint was declined. at org.apache.flink.streaming.api.operators.StreamOperatorStateHandler.snapshotState … WebThis is exactly the same as repartitioning from a savepoint, but without Flink's lengthy process of redistributing data between TaskManagers. When we tried to do this, it took about 8 hours to complete, which was not sustainable. Fortunately, since we're using the RocksDB state backend, we can add more threads in this step to speed it up. simpson speakers