Skip to content
The Internals of Spark Connect
Logging
Initializing search
spark-connect-internals
Spark Connect
Features
Internals
Server
Client
Python Client
Spark SQL
JVM Client
Spark MLlib
The Internals of Spark Connect
spark-connect-internals
Spark Connect
Features
Features
Reattachable Plan Execution
Internals
Internals
Spark Connect
Logging
Spark Connect Shell
Server
Server
CommandPlugin
Connect
ConnectProgressExecutionListener
ExecuteEventsManager
ExecuteGrpcResponseSender
ExecuteHolder
ExecuteThreadRunner
ExecutionThread
ExpressionPlugin
PreSharedKeyAuthenticationInterceptor
RelationPlugin
SessionHolder
SimpleSparkConnectService
SparkConnectAddArtifactsHandler
SparkConnectAnalyzeHandler
SparkConnectExecutePlanHandler
SparkConnectExecutionManager
SparkConnectInterceptorRegistry
SparkConnectPlanExecution
SparkConnectPlanner
SparkConnectPlugin
SparkConnectReattachExecuteHandler
SparkConnectReleaseSessionHandler
SparkConnectServer
SparkConnectServerListener
SparkConnectServerTab
SparkConnectService
SparkConnectSessionManager
Configuration Properties
Client
Client
Builder
Configuration
CustomSparkConnectBlockingStub
ExecutePlanResponseReattachableIterator
SparkConnectClient.Builder
SparkConnectClient
Python Client
Python Client
Spark SQL
Spark SQL
SQLExecution
SparkSession
JVM Client
JVM Client
ConnectRepl
DataFrameWriterImpl
DataFrameWriterV2Impl
DataStreamWriter
Dataset
MergeIntoWriterImpl
RemoteStreamingQuery
SessionCleaner
SparkSession.Builder
SparkSession
Spark MLlib
Spark MLlib
MLBackendPlugin
MLHandler
MLUtils
Spark Connect
Internals
Logging
¶
Spark Connect uses the same logging infrastructure as
Apache Spark
.
Back to top