Runbook

Time synchronization issues causing Spark job failures.

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Overview

This incident type refers to issues encountered in a Spark cluster where Spark jobs are failing due to time synchronization problems between the nodes in the cluster. These synchronization issues can cause data inconsistencies and errors in Spark applications, which can lead to job failures. To resolve this issue, it is necessary to ensure that all nodes in the cluster have synchronized time.

Parameters

Debug

Check the time on each node in the Spark cluster

Check the time synchronization status of each node in the cluster

Check the NTP daemon status on each node in the cluster

Check the NTP daemon configuration on each node in the cluster

Restart the NTP daemon on each node in the cluster

Check the time synchronization status again after restarting the NTP daemon

Incorrect NTP (Network Time Protocol) server configuration on one or more nodes in the cluster.

Repair

Configure NTP (Network Time Protocol) on all nodes in the Spark cluster to ensure that time synchronization is consistent across all nodes.

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