"Managed Service for Apache Spark" is the new name for the product formerly known as "Dataproc on Compute Engine" (cluster deployment) and "Google Cloud Serverless for Apache Spark" (serverless deployment).

LoggingConfig

The runtime logging config of the job.

JSON representation 
{
 "driverLogLevels": {
 string: enum (Level ),
 ...
 }
}
Fields
driverLogLevels

map (key: string, value: enum (Level ))

The per-package log levels for the driver. This can include "root" package name to configure rootLogger. Examples: - 'com.google = FATAL' - 'root = INFO' - 'org.apache = DEBUG'

An object containing a list of "key": value pairs. Example: { "name": "wrench", "mass": "1.3kg", "count": "3" }.

Level

The Log4j level for job execution. When running an Apache Hive job, Cloud Dataproc configures the Hive client to an equivalent verbosity level.

Enums
LEVEL_UNSPECIFIED Level is unspecified. Use default level for log4j.
ALL Use ALL level for log4j.
TRACE Use TRACE level for log4j.
DEBUG Use DEBUG level for log4j.
INFO Use INFO level for log4j.
WARN Use WARN level for log4j.
ERROR Use ERROR level for log4j.
FATAL Use FATAL level for log4j.
OFF Turn off log4j.

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Last updated 2026年05月11日 UTC.