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Tag Archive for apache-kafkaapache-flinkapache-iceberg

Data Loss in Flink Job with Iceberg Sink After Restart: How to Ensure Consistent Writes?

I am running a Flink job that reads data from Kafka, processes it into a Flink Row object, and writes it to an Iceberg Sink. To deploy new code changes, I restart the job from the latest savepoint, which is committed at the Kafka source. This savepoint stores the most recent Kafka offset read by the job, allowing the subsequent run to continue from the previous offset, ensuring transparent failure recovery.
Recently, I encountered a scenario where data was lost in the final output after a job restart. Here’s what happened:

Data Loss in Flink Job with Iceberg Sink After Restart: How to Ensure Consistent Writes?

I am running a Flink job that reads data from Kafka, processes it into a Flink Row object, and writes it to an Iceberg Sink. To deploy new code changes, I restart the job from the latest savepoint, which is committed at the Kafka source. This savepoint stores the most recent Kafka offset read by the job, allowing the subsequent run to continue from the previous offset, ensuring transparent failure recovery.
Recently, I encountered a scenario where data was lost in the final output after a job restart. Here’s what happened:

Data Loss in Flink Job with Iceberg Sink After Restart: How to Ensure Consistent Writes?

I am running a Flink job that reads data from Kafka, processes it into a Flink Row object, and writes it to an Iceberg Sink. To deploy new code changes, I restart the job from the latest savepoint, which is committed at the Kafka source. This savepoint stores the most recent Kafka offset read by the job, allowing the subsequent run to continue from the previous offset, ensuring transparent failure recovery.
Recently, I encountered a scenario where data was lost in the final output after a job restart. Here’s what happened:

Data Loss in Flink Job with Iceberg Sink After Restart: How to Ensure Consistent Writes?

I am running a Flink job that reads data from Kafka, processes it into a Flink Row object, and writes it to an Iceberg Sink. To deploy new code changes, I restart the job from the latest savepoint, which is committed at the Kafka source. This savepoint stores the most recent Kafka offset read by the job, allowing the subsequent run to continue from the previous offset, ensuring transparent failure recovery.
Recently, I encountered a scenario where data was lost in the final output after a job restart. Here’s what happened:

Data Loss in Flink Job with Iceberg Sink After Restart: How to Ensure Consistent Writes?

I am running a Flink job that reads data from Kafka, processes it into a Flink Row object, and writes it to an Iceberg Sink. To deploy new code changes, I restart the job from the latest savepoint, which is committed at the Kafka source. This savepoint stores the most recent Kafka offset read by the job, allowing the subsequent run to continue from the previous offset, ensuring transparent failure recovery.
Recently, I encountered a scenario where data was lost in the final output after a job restart. Here’s what happened: