Enabling continuous logging for AWS Glue jobs

You can enable continuous logging using the AWS Glue console or through the AWS Command Line Interface (AWS CLI).

You can enable continuous logging when you create a new job, edit an existing job, or enable it through the AWS CLI.

You can also specify custom configuration options such as the Amazon CloudWatch log group name, CloudWatch log stream prefix before the AWS Glue job run ID driver/executor ID, and log conversion pattern for log messages. These configurations help you to set aggregate logs in custom CloudWatch log groups with different expiration policies, and analyze them further with custom log stream prefixes and conversions patterns.

Using the AWS Management Console

Follow these steps to use the console to enable continuous logging when creating or editing an AWS Glue job.

Using the AWS CLI

To enable continuous logging, you pass in job parameters to an AWS Glue job. Pass the following special job parameters similar to other AWS Glue job parameters. For more information, see Using job parameters in AWS Glue jobs.

'--enable-continuous-cloudwatch-log': 'true'

You can specify a custom Amazon CloudWatch log group name. If not specified, the default log group name is /aws-glue/jobs/logs-v2.

'--continuous-log-logGroup': 'custom_log_group_name'

You can specify a custom Amazon CloudWatch log stream prefix. If not specified, the default log stream prefix is the job run ID.

'--continuous-log-logStreamPrefix': 'custom_log_stream_prefix'

You can specify a custom continuous logging conversion pattern. If not specified, the default conversion pattern is %d{yy/MM/dd HH:mm:ss} %p %c{1}: %m%n. Note that the conversion pattern only applies to driver logs and executor logs. It does not affect the AWS Glue progress bar.

'--continuous-log-conversionPattern': 'custom_log_conversion_pattern'

Logging application-specific messages using the custom script logger

You can use the AWS Glue logger to log any application-specific messages in the script that are sent in real time to the driver log stream.

The following example shows a Python script.

from awsglue.context import GlueContext
from pyspark.context import SparkContext

sc = SparkContext()
glueContext = GlueContext(sc)
logger = glueContext.get_logger()
logger.info("info message")
logger.warn("warn message")
logger.error("error message")

The following example shows a Scala script.

import com.amazonaws.services.glue.log.GlueLogger

object GlueApp {
  def main(sysArgs: Array[String]) {
    val logger = new GlueLogger
    logger.info("info message")
    logger.warn("warn message")
    logger.error("error message")
  }
}

Enabling the progress bar to show job progress

AWS Glue provides a real-time progress bar under the JOB_RUN_ID-progress-bar log stream to check AWS Glue job run status. Currently it supports only jobs that initialize glueContext. If you run a pure Spark job without initializing glueContext, the AWS Glue progress bar does not appear.

The progress bar shows the following progress update every 5 seconds.

Stage Number (Stage Name): > (numCompletedTasks + numActiveTasks) / totalNumOfTasksInThisStage]

Security configuration with continuous logging

If a security configuration is enabled for CloudWatch logs, AWS Glue will create a log group named as follows for continuous logs:

<Log-Group-Name>-<Security-Configuration-Name>

The default and custom log groups will be as follows:

You need to add the logs:AssociateKmsKey to your IAM role permissions, if you enable a security configuration with CloudWatch Logs. If that permission is not included, continuous logging will be disabled. Also, to configure the encryption for the CloudWatch Logs, follow the instructions at Encrypt Log Data in CloudWatch Logs Using AWS Key Management Service in the Amazon CloudWatch Logs User Guide.

For more information on creating security configurations, see Managing security configurations on the AWS Glue console.