Fresh installation of Apache Flink crushes with “Response was not a valid JSON” for hello-world examples
After a fresh installation of Apache Flink, that is, fetching the binary with all default setups, executing a simple hello-world example as listed in the tutorial page, using bin/flink run examples/batch/WordCount.jar
crushes with “Response was not a valid JSON”. The same error was encountered for simple commands like flink list
. The issue persists for flink 1.16.1, 1.18.1, 1.19.1, and 1.20.1, and for other hello-world examples in the binary distribution.
Fresh installation of Apache Flink crushes with “Response was not a valid JSON” for hello-world examples
After a fresh installation of Apache Flink, that is, fetching the binary with all default setups, executing a simple hello-world example as listed in the tutorial page, using bin/flink run examples/batch/WordCount.jar
crushes with “Response was not a valid JSON”. The same error was encountered for simple commands like flink list
. The issue persists for flink 1.16.1, 1.18.1, 1.19.1, and 1.20.1, and for other hello-world examples in the binary distribution.
Fresh installation of Apache Flink crushes with “Response was not a valid JSON” for hello-world examples
After a fresh installation of Apache Flink, that is, fetching the binary with all default setups, executing a simple hello-world example as listed in the tutorial page, using bin/flink run examples/batch/WordCount.jar
crushes with “Response was not a valid JSON”. The same error was encountered for simple commands like flink list
. The issue persists for flink 1.16.1, 1.18.1, 1.19.1, and 1.20.1, and for other hello-world examples in the binary distribution.
Fresh installation of Apache Flink crushes with “Response was not a valid JSON” for hello-world examples
After a fresh installation of Apache Flink, that is, fetching the binary with all default setups, executing a simple hello-world example as listed in the tutorial page, using bin/flink run examples/batch/WordCount.jar
crushes with “Response was not a valid JSON”. The same error was encountered for simple commands like flink list
. The issue persists for flink 1.16.1, 1.18.1, 1.19.1, and 1.20.1, and for other hello-world examples in the binary distribution.
Fresh installation of Apache Flink crushes with “Response was not a valid JSON” for hello-world examples
After a fresh installation of Apache Flink, that is, fetching the binary with all default setups, executing a simple hello-world example as listed in the tutorial page, using bin/flink run examples/batch/WordCount.jar
crushes with “Response was not a valid JSON”. The same error was encountered for simple commands like flink list
. The issue persists for flink 1.16.1, 1.18.1, 1.19.1, and 1.20.1, and for other hello-world examples in the binary distribution.
Whether Processing Time Temporal Join supports FOR SYSTEM_TIME AS OF syntax or not
I am reading Flink 1.20 doc at https://nightlies.apache.org/flink/flink-docs-release-1.20/docs/dev/table/sql/queries/joins/#processing-time-temporal-join
How to make two sinks work in a transaction in Flink
I have a Flink pipeline which has two sinks , one sink to publish messages to Kafka and other to update the status in database. I am following exactly once semantics using Kafka transaction and XA JDBC transaction. The issue which I am facing is when the database is down and Kafka broker is up , flink sends the messages to broker (it commits the messages , I verified that my consumer reads only committed messages) even when the DB wont come up after a set number of flink retries. My requirement is to send the message and update the corresponding record only once. How to achieve that.
Why is ListView performing better than ArrayList
I encountered an issue while customizing UDAF using Flink (version 1.20). I wanted to implement a UDAF that calculates the median, and I used the following two methods:
Using Flink and Flink CDC reports an error org.apache.flink.shaded.guava31.com.google.common.util.concurrent.ThreadFactoryBuilder
When I used Flink CDC to migrate data to Oracle and SQL Server, the Flink version used was 1.16.0 and the Flink cdc version used was 3.2.0. Then flink-shaded-guava used 31.1-jre-17.0. The error org.apache.flink.shaded.guava30.com.google.common.collect.Lists was reported. But when I used 30.1.1-jre-15.0, the error org.apache.flink.shaded.guava31.com.google.common.util.concurrent.ThreadFactoryBuilder was reported. The specific information is as follows:
Using Flink and Flink CDC reports an error org.apache.flink.shaded.guava31.com.google.common.util.concurrent.ThreadFactoryBuilder
When I used Flink CDC to migrate data to Oracle and SQL Server, the Flink version used was 1.16.0 and the Flink cdc version used was 3.2.0. Then flink-shaded-guava used 31.1-jre-17.0. The error org.apache.flink.shaded.guava30.com.google.common.collect.Lists was reported. But when I used 30.1.1-jre-15.0, the error org.apache.flink.shaded.guava31.com.google.common.util.concurrent.ThreadFactoryBuilder was reported. The specific information is as follows: