Services or capabilities described in Amazon Web Services documentation might vary by Region. To see the differences applicable to the China Regions, see Getting Started with Amazon Web Services in China (PDF).

Logging for Amazon Glue jobs

In Amazon Glue 5.0, all jobs have real-time logging capabilities. Additionally, you can specify custom configuration options to tailor the logging behavior. These options include setting the Amazon CloudWatch log group name, the Amazon CloudWatch log stream prefix (which will precede the Amazon Glue job run ID and driver/executor ID), and the log conversion pattern for log messages. These configurations allow you to aggregate logs in custom Amazon CloudWatch log groups with different expiration policies. Furthermore, you can analyze the logs more effectively by using custom log stream prefixes and conversion patterns. This level of customization enables you to optimize log management and analysis according to your specific requirements.

Logging behavior in Amazon Glue 5.0

By default, system logs, Spark daemon logs, and user Amazon Glue Logger logs are written to the /aws-glue/jobs/error log group in Amazon CloudWatch. On the other hand, user stdout (standard output) and stderr (standard error) logs are written to the /aws-glue/jobs/output log group by default.

Custom logging

You can customize the default log group and log stream prefixes using the following job arguments:

Validation rules and limitations for custom prefixes:

Logging application-specific messages using the custom script logger

You can use the Amazon 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

Amazon Glue provides a real-time progress bar under the JOB_RUN_ID-progress-bar log stream to check Amazon Glue job run status. Currently it supports only jobs that initialize glueContext. If you run a pure Spark job without initializing glueContext, the Amazon 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 Amazon CloudWatch logging

When a security configuration is enabled for Amazon CloudWatch logs, Amazon Glue creates log groups with specific naming patterns that incorporate the security configuration name.

Log group naming with security configuration

The default and custom log groups will be as follows:

Required IAM Permissions

You need to add the logs:AssociateKmsKey permission to your IAM role permissions, if you enable a security configuration with Amazon CloudWatch Logs. If that permission is not included, continuous logging will be disabled.

Also, to configure the encryption for the Amazon CloudWatch Logs, follow the instructions at Encrypt Log Data in Amazon CloudWatch Logs Using Amazon Key Management Service in the Amazon Amazon CloudWatch Logs User Guide.

Additional Information

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