Module spark_connect_rs::spark

Spark Connect gRPC protobuf translated using tonic

Modules

• add_artifacts_request
  Nested message and enum types in AddArtifactsRequest.
• add_artifacts_response
  Nested message and enum types in AddArtifactsResponse.
• aggregate
  Nested message and enum types in Aggregate.
• analyze_plan_request
  Nested message and enum types in AnalyzePlanRequest.
• analyze_plan_response
  Nested message and enum types in AnalyzePlanResponse.
• artifact_statuses_response
  Nested message and enum types in ArtifactStatusesResponse.
• catalog
  Nested message and enum types in Catalog.
• command
  Nested message and enum types in Command.
• common_inline_user_defined_function
  Nested message and enum types in CommonInlineUserDefinedFunction.
• common_inline_user_defined_table_function
  Nested message and enum types in CommonInlineUserDefinedTableFunction.
• config_request
  Nested message and enum types in ConfigRequest.
• data_type
  Nested message and enum types in DataType.
• execute_plan_request
  Nested message and enum types in ExecutePlanRequest.
• execute_plan_response
  Nested message and enum types in ExecutePlanResponse.
• expression
  Nested message and enum types in Expression.
• interrupt_request
  Nested message and enum types in InterruptRequest.
• join
  Nested message and enum types in Join.
• na_replace
  Nested message and enum types in NAReplace.
• parse
  Nested message and enum types in Parse.
• plan
  Nested message and enum types in Plan.
• read
  Nested message and enum types in Read.
• relation
  Nested message and enum types in Relation.
• release_execute_request
  Nested message and enum types in ReleaseExecuteRequest.
• set_operation
  Nested message and enum types in SetOperation.
• spark_connect_service_client
  Generated client implementations.
• stat_sample_by
  Nested message and enum types in StatSampleBy.
• streaming_foreach_function
  Nested message and enum types in StreamingForeachFunction.
• streaming_query_command
  Nested message and enum types in StreamingQueryCommand.
• streaming_query_command_result
  Nested message and enum types in StreamingQueryCommandResult.
• streaming_query_manager_command
  Nested message and enum types in StreamingQueryManagerCommand.
• streaming_query_manager_command_result
  Nested message and enum types in StreamingQueryManagerCommandResult.
• unpivot
  Nested message and enum types in Unpivot.
• write_operation
  Nested message and enum types in WriteOperation.
• write_operation_v2
  Nested message and enum types in WriteOperationV2.
• write_stream_operation_start
  Nested message and enum types in WriteStreamOperationStart.

Structs

• AddArtifactsRequest
  Request to transfer client-local artifacts.
• AddArtifactsResponse
  Response to adding an artifact. Contains relevant metadata to verify successful transfer of artifact(s).
• Aggregate
  Relation of type [Aggregate].
• AnalyzePlanRequest
  Request to perform plan analyze, optionally to explain the plan.
• AnalyzePlanResponse
  Response to performing analysis of the query. Contains relevant metadata to be able to reason about the performance.
• ApplyInPandasWithState
• ArtifactStatusesRequest
  Request to get current statuses of artifacts at the server side.
• ArtifactStatusesResponse
  Response to checking artifact statuses.
• CacheTable
  See spark.catalog.cacheTable
• CachedLocalRelation
  A local relation that has been cached already.
• CachedRemoteRelation
  Represents a remote relation that has been cached on server.
• CallFunction
• Catalog
  Catalog messages are marked as unstable.
• ClearCache
  See spark.catalog.clearCache
• CoGroupMap
• CollectMetrics
  Collect arbitrary (named) metrics from a dataset.
• Command
  A [Command] is an operation that is executed by the server that does not directly consume or produce a relational result.
• CommonInlineUserDefinedFunction
• CommonInlineUserDefinedTableFunction
• ConfigRequest
  Request to update or fetch the configurations.
• ConfigResponse
  Response to the config request.
• CreateDataFrameViewCommand
  A command that can create DataFrame global temp view or local temp view.
• CreateExternalTable
  See spark.catalog.createExternalTable
• CreateTable
  See spark.catalog.createTable
• CurrentCatalog
  See spark.catalog.currentCatalog
• CurrentDatabase
  See spark.catalog.currentDatabase
• DataType
  This message describes the logical [DataType] of something. It does not carry the value itself but only describes it.
• DatabaseExists
  See spark.catalog.databaseExists
• Deduplicate
  Relation of type [Deduplicate] which have duplicate rows removed, could consider either only the subset of columns or all the columns.
• Drop
  Drop specified columns.
• DropGlobalTempView
  See spark.catalog.dropGlobalTempView
• DropTempView
  See spark.catalog.dropTempView
• ExamplePluginCommand
• ExamplePluginExpression
• ExamplePluginRelation
• ExecutePlanRequest
  A request to be executed by the service.
• ExecutePlanResponse
  The response of a query, can be one or more for each request. Responses belonging to the same input query, carry the same session_id.
• Expression
  Expression used to refer to fields, functions and similar. This can be used everywhere expressions in SQL appear.
• Filter
  Relation that applies a boolean expression condition on each row of input to produce the output result.
• FunctionExists
  See spark.catalog.functionExists
• GetDatabase
  See spark.catalog.getDatabase
• GetFunction
  See spark.catalog.getFunction
• GetResourcesCommand
  Command to get the output of ‘SparkContext.resources’
• GetResourcesCommandResult
  Response for command ‘GetResourcesCommand’.
• GetTable
  See spark.catalog.getTable
• GroupMap
• Hint
  Specify a hint over a relation. Hint should have a name and optional parameters.
• HtmlString
  Compose the string representing rows for output. It will invoke ‘Dataset.htmlString’ to compute the results.
• InterruptRequest
• InterruptResponse
• IsCached
  See spark.catalog.isCached
• JavaUdf
• Join
  Relation of type [Join].
• KeyValue
  The key-value pair for the config request and response.
• Limit
  Relation of type [Limit] that is used to limit rows from the input relation.
• ListCatalogs
  See spark.catalog.listCatalogs
• ListColumns
  See spark.catalog.listColumns
• ListDatabases
  See spark.catalog.listDatabases
• ListFunctions
  See spark.catalog.listFunctions
• ListTables
  See spark.catalog.listTables
• LocalRelation
  A relation that does not need to be qualified by name.
• MapPartitions
• NaDrop
  Drop rows containing null values. It will invoke ‘Dataset.na.drop’ (same as ‘DataFrameNaFunctions.drop’) to compute the results.
• NaFill
  Replaces null values. It will invoke ‘Dataset.na.fill’ (same as ‘DataFrameNaFunctions.fill’) to compute the results. Following 3 parameter combinations are supported: 1, ‘values’ only contains 1 item, ‘cols’ is empty: replaces null values in all type-compatible columns. 2, ‘values’ only contains 1 item, ‘cols’ is not empty: replaces null values in specified columns. 3, ‘values’ contains more than 1 items, then ‘cols’ is required to have the same length: replaces each specified column with corresponding value.
• NaReplace
  Replaces old values with the corresponding values. It will invoke ‘Dataset.na.replace’ (same as ‘DataFrameNaFunctions.replace’) to compute the results.
• Offset
  Relation of type [Offset] that is used to read rows staring from the offset on the input relation.
• Parse
• Plan
  A [Plan] is the structure that carries the runtime information for the execution from the client to the server. A [Plan] can either be of the type [Relation] which is a reference to the underlying logical plan or it can be of the [Command] type that is used to execute commands on the server.
• Project
  Projection of a bag of expressions for a given input relation.
• PythonUdf
• PythonUdtf
• Range
  Relation of type [Range] that generates a sequence of integers.
• Read
  Relation that reads from a file / table or other data source. Does not have additional inputs.
• ReattachExecuteRequest
• ReattachOptions
• RecoverPartitions
  See spark.catalog.recoverPartitions
• RefreshByPath
  See spark.catalog.refreshByPath
• RefreshTable
  See spark.catalog.refreshTable
• Relation
  The main [Relation] type. Fundamentally, a relation is a typed container that has exactly one explicit relation type set.
• RelationCommon
  Common metadata of all relations.
• ReleaseExecuteRequest
• ReleaseExecuteResponse
• Repartition
  Relation repartition.
• RepartitionByExpression
• ResourceInformation
  ResourceInformation to hold information about a type of Resource. The corresponding class is ‘org.apache.spark.resource.ResourceInformation’
• Sample
  Relation of type [Sample] that samples a fraction of the dataset.
• ScalarScalaUdf
• SetCurrentCatalog
  See spark.catalog.setCurrentCatalog
• SetCurrentDatabase
  See spark.catalog.setCurrentDatabase
• SetOperation
  Relation of type [SetOperation]
• ShowString
  Compose the string representing rows for output. It will invoke ‘Dataset.showString’ to compute the results.
• Sort
  Relation of type [Sort].
• Sql
  Relation that uses a SQL query to generate the output.
• SqlCommand
  A SQL Command is used to trigger the eager evaluation of SQL commands in Spark.
• StatApproxQuantile
  Calculates the approximate quantiles of numerical columns of a DataFrame. It will invoke ‘Dataset.stat.approxQuantile’ (same as ‘StatFunctions.approxQuantile’) to compute the results.
• StatCorr
  Calculates the correlation of two columns of a DataFrame. Currently only supports the Pearson Correlation Coefficient. It will invoke ‘Dataset.stat.corr’ (same as ‘StatFunctions.pearsonCorrelation’) to compute the results.
• StatCov
  Calculate the sample covariance of two numerical columns of a DataFrame. It will invoke ‘Dataset.stat.cov’ (same as ‘StatFunctions.calculateCov’) to compute the results.
• StatCrosstab
  Computes a pair-wise frequency table of the given columns. Also known as a contingency table. It will invoke ‘Dataset.stat.crosstab’ (same as ‘StatFunctions.crossTabulate’) to compute the results.
• StatDescribe
  Computes basic statistics for numeric and string columns, including count, mean, stddev, min, and max. If no columns are given, this function computes statistics for all numerical or string columns.
• StatFreqItems
  Finding frequent items for columns, possibly with false positives. It will invoke ‘Dataset.stat.freqItems’ (same as ‘StatFunctions.freqItems’) to compute the results.
• StatSampleBy
  Returns a stratified sample without replacement based on the fraction given on each stratum. It will invoke ‘Dataset.stat.freqItems’ (same as ‘StatFunctions.freqItems’) to compute the results.
• StatSummary
  Computes specified statistics for numeric and string columns. It will invoke ‘Dataset.summary’ (same as ‘StatFunctions.summary’) to compute the results.
• StorageLevel
  StorageLevel for persisting Datasets/Tables.
• StreamingForeachFunction
• StreamingQueryCommand
  Commands for a streaming query.
• StreamingQueryCommandResult
  Response for commands on a streaming query.
• StreamingQueryInstanceId
  A tuple that uniquely identifies an instance of streaming query run. It consists of id that persists across the streaming runs and run_id that changes between each run of the streaming query that resumes from the checkpoint.
• StreamingQueryManagerCommand
  Commands for the streaming query manager.
• StreamingQueryManagerCommandResult
  Response for commands on the streaming query manager.
• SubqueryAlias
  Relation alias.
• TableExists
  See spark.catalog.tableExists
• Tail
  Relation of type [Tail] that is used to fetch limit rows from the last of the input relation.
• ToDf
  Rename columns on the input relation by the same length of names.
• ToSchema
• UncacheTable
  See spark.catalog.uncacheTable
• Unknown
  Used for testing purposes only.
• Unpivot
  Unpivot a DataFrame from wide format to long format, optionally leaving identifier columns set.
• UserContext
  User Context is used to refer to one particular user session that is executing queries in the backend.
• WithColumns
  Adding columns or replacing the existing columns that have the same names.
• WithColumnsRenamed
  Rename columns on the input relation by a map with name to name mapping.
• WithWatermark
• WriteOperation
  As writes are not directly handled during analysis and planning, they are modeled as commands.
• WriteOperationV2
  As writes are not directly handled during analysis and planning, they are modeled as commands.
• WriteStreamOperationStart
  Starts write stream operation as streaming query. Query ID and Run ID of the streaming query are returned.
• WriteStreamOperationStartResult