Deprecated API

Contents

• Deprecated Classes
• Deprecated Fields
• Deprecated Methods
• Deprecated Constructors

Deprecated Classes

Class and Description
org.apache.spark.ml.feature.ChiSqSelector use UnivariateFeatureSelector instead. Since 3.1.1.
org.apache.spark.streaming.api.java.JavaStreamingContext This is deprecated as of Spark 3.4.0. There are no longer updates to DStream and it's a legacy project. There is a newer and easier to use streaming engine in Spark called Structured Streaming. You should use Spark Structured Streaming for your streaming applications.
org.apache.spark.scheduler.SparkListenerExecutorBlacklisted use SparkListenerExecutorExcluded instead. Since 3.1.0.
org.apache.spark.scheduler.SparkListenerExecutorBlacklistedForStage use SparkListenerExecutorExcludedForStage instead. Since 3.1.0.
org.apache.spark.scheduler.SparkListenerExecutorUnblacklisted use SparkListenerExecutorUnexcluded instead. Since 3.1.0.
org.apache.spark.scheduler.SparkListenerNodeBlacklisted use SparkListenerNodeExcluded instead. Since 3.1.0.
org.apache.spark.scheduler.SparkListenerNodeBlacklistedForStage use SparkListenerNodeExcludedForStage instead. Since 3.1.0.
org.apache.spark.scheduler.SparkListenerNodeUnblacklisted use SparkListenerNodeUnexcluded instead. Since 3.1.0.
org.apache.spark.streaming.StreamingContext This is deprecated as of Spark 3.4.0. There are no longer updates to DStream and it's a legacy project. There is a newer and easier to use streaming engine in Spark called Structured Streaming. You should use Spark Structured Streaming for your streaming applications.
org.apache.spark.sql.expressions.javalang.typed As of release 3.0.0, please use the untyped builtin aggregate functions.
org.apache.spark.sql.expressions.scalalang.typed please use untyped builtin aggregate functions. Since 3.0.0.
org.apache.spark.sql.expressions.UserDefinedAggregateFunction UserDefinedAggregateFunction is deprecated. Aggregator[IN, BUF, OUT] should now be registered as a UDF via the functions.udaf(agg) method.

Deprecated Fields

Field and Description
org.apache.spark.launcher.SparkLauncher.DEPRECATED_CHILD_CONNECTION_TIMEOUT use `CHILD_CONNECTION_TIMEOUT`

Deprecated Methods

Method and Description
org.apache.spark.sql.SQLContext.applySchema(JavaRDD<?>, Class<?>) Use createDataFrame instead. Since 1.3.0.
org.apache.spark.sql.SQLContext.applySchema(JavaRDD<Row>, StructType) Use createDataFrame instead. Since 1.3.0.
org.apache.spark.sql.SQLContext.applySchema(RDD<?>, Class<?>) Use createDataFrame instead. Since 1.3.0.
org.apache.spark.sql.SQLContext.applySchema(RDD<Row>, StructType) Use createDataFrame instead. Since 1.3.0.
org.apache.spark.sql.functions.approxCountDistinct(Column) Use approx_count_distinct. Since 2.1.0.
org.apache.spark.sql.functions.approxCountDistinct(Column, double) Use approx_count_distinct. Since 2.1.0.
org.apache.spark.sql.functions.approxCountDistinct(String) Use approx_count_distinct. Since 2.1.0.
org.apache.spark.sql.functions.approxCountDistinct(String, double) Use approx_count_distinct. Since 2.1.0.
org.apache.spark.sql.functions.bitwiseNOT(Column) Use bitwise_not. Since 3.2.0.
org.apache.spark.status.api.v1.ExecutorSummary.blacklistedInStages() use excludedInStages instead. Since 3.1.0.
org.apache.spark.sql.connector.write.WriteBuilder.buildForBatch() use WriteBuilder.build() instead.
org.apache.spark.sql.connector.write.WriteBuilder.buildForStreaming() use WriteBuilder.build() instead.
org.apache.spark.sql.functions.callUDF(String, Seq<Column>) Use call_udf. Since .
org.apache.spark.sql.SQLContext.clearActive() Use SparkSession.clearActiveSession instead. Since 2.0.0.
org.apache.spark.sql.jdbc.JdbcDialect.compileAggregate(AggregateFunc) use org.apache.spark.sql.jdbc.JdbcDialect.compileExpression instead. Since 3.4.0.
org.apache.spark.ml.clustering.BisectingKMeansModel.computeCost(Dataset<?>) This method is deprecated and will be removed in future versions. Use ClusteringEvaluator instead. You can also get the cost on the training dataset in the summary.
org.apache.spark.sql.SQLContext.createExternalTable(String, String) use sparkSession.catalog.createTable instead. Since 2.2.0.
org.apache.spark.sql.catalog.Catalog.createExternalTable(String, String) use createTable instead. Since 2.2.0.
org.apache.spark.sql.SQLContext.createExternalTable(String, String, Map<String, String>) use sparkSession.catalog.createTable instead. Since 2.2.0.
org.apache.spark.sql.SQLContext.createExternalTable(String, String, Map<String, String>) use sparkSession.catalog.createTable instead. Since 2.2.0.
org.apache.spark.sql.catalog.Catalog.createExternalTable(String, String, Map<String, String>) use createTable instead. Since 2.2.0.
org.apache.spark.sql.catalog.Catalog.createExternalTable(String, String, Map<String, String>) use createTable instead. Since 2.2.0.
org.apache.spark.sql.SQLContext.createExternalTable(String, String, String) use sparkSession.catalog.createTable instead. Since 2.2.0.
org.apache.spark.sql.catalog.Catalog.createExternalTable(String, String, String) use createTable instead. Since 2.2.0.
org.apache.spark.sql.SQLContext.createExternalTable(String, String, StructType, Map<String, String>) use sparkSession.catalog.createTable instead. Since 2.2.0.
org.apache.spark.sql.SQLContext.createExternalTable(String, String, StructType, Map<String, String>) use sparkSession.catalog.createTable instead. Since 2.2.0.
org.apache.spark.sql.catalog.Catalog.createExternalTable(String, String, StructType, Map<String, String>) use createTable instead. Since 2.2.0.
org.apache.spark.sql.catalog.Catalog.createExternalTable(String, String, StructType, Map<String, String>) use createTable instead. Since 2.2.0.
org.apache.spark.sql.connector.catalog.TableCatalog.createTable(Identifier, StructType, Transform[], Map<String, String>)
org.apache.spark.sql.Dataset.explode(Seq<Column>, Function1<Row, TraversableOnce<A>>, TypeTags.TypeTag<A>) use flatMap() or select() with functions.explode() instead. Since 2.0.0.
org.apache.spark.sql.Dataset.explode(String, String, Function1<A, TraversableOnce<B>>, TypeTags.TypeTag<B>) use flatMap() or select() with functions.explode() instead. Since 2.0.0.
org.apache.spark.status.protobuf.StoreTypes.ExecutorSummaryOrBuilder.getAttributes()
org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary.getAttributes()
org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary.Builder.getAttributes()
org.apache.spark.status.protobuf.StoreTypes.StateOperatorProgressOrBuilder.getCustomMetrics()
org.apache.spark.status.protobuf.StoreTypes.StateOperatorProgress.getCustomMetrics()
org.apache.spark.status.protobuf.StoreTypes.StateOperatorProgress.Builder.getCustomMetrics()
org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgressOrBuilder.getDurationMs()
org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress.getDurationMs()
org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress.Builder.getDurationMs()
org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgressOrBuilder.getEventTime()
org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress.getEventTime()
org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress.Builder.getEventTime()
org.apache.spark.status.protobuf.StoreTypes.ExecutorSummaryOrBuilder.getExecutorLogs()
org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary.getExecutorLogs()
org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary.Builder.getExecutorLogs()
org.apache.spark.status.protobuf.StoreTypes.TaskDataOrBuilder.getExecutorLogs()
org.apache.spark.status.protobuf.StoreTypes.TaskData.getExecutorLogs()
org.apache.spark.status.protobuf.StoreTypes.TaskData.Builder.getExecutorLogs()
org.apache.spark.status.protobuf.StoreTypes.ResourceProfileInfoOrBuilder.getExecutorResources()
org.apache.spark.status.protobuf.StoreTypes.ResourceProfileInfo.getExecutorResources()
org.apache.spark.status.protobuf.StoreTypes.ResourceProfileInfo.Builder.getExecutorResources()
org.apache.spark.status.protobuf.StoreTypes.StageDataOrBuilder.getExecutorSummary()
org.apache.spark.status.protobuf.StoreTypes.StageData.getExecutorSummary()
org.apache.spark.status.protobuf.StoreTypes.StageData.Builder.getExecutorSummary()
org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIDataOrBuilder.getJobs()
org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData.getJobs()
org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData.Builder.getJobs()
org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIDataOrBuilder.getJobsValue()
org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData.getJobsValue()
org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData.Builder.getJobsValue()
org.apache.spark.status.protobuf.StoreTypes.StageDataOrBuilder.getKilledTasksSummary()
org.apache.spark.status.protobuf.StoreTypes.StageData.getKilledTasksSummary()
org.apache.spark.status.protobuf.StoreTypes.StageData.Builder.getKilledTasksSummary()
org.apache.spark.status.protobuf.StoreTypes.JobDataOrBuilder.getKillTasksSummary()
org.apache.spark.status.protobuf.StoreTypes.JobData.getKillTasksSummary()
org.apache.spark.status.protobuf.StoreTypes.JobData.Builder.getKillTasksSummary()
org.apache.spark.status.protobuf.StoreTypes.StageDataWrapperOrBuilder.getLocality()
org.apache.spark.status.protobuf.StoreTypes.StageDataWrapper.getLocality()
org.apache.spark.status.protobuf.StoreTypes.StageDataWrapper.Builder.getLocality()
org.apache.spark.status.protobuf.StoreTypes.ExecutorMetricsOrBuilder.getMetrics()
org.apache.spark.status.protobuf.StoreTypes.ExecutorMetrics.getMetrics()
org.apache.spark.status.protobuf.StoreTypes.ExecutorMetrics.Builder.getMetrics()
org.apache.spark.status.protobuf.StoreTypes.SourceProgressOrBuilder.getMetrics()
org.apache.spark.status.protobuf.StoreTypes.SourceProgress.getMetrics()
org.apache.spark.status.protobuf.StoreTypes.SourceProgress.Builder.getMetrics()
org.apache.spark.status.protobuf.StoreTypes.SinkProgressOrBuilder.getMetrics()
org.apache.spark.status.protobuf.StoreTypes.SinkProgress.getMetrics()
org.apache.spark.status.protobuf.StoreTypes.SinkProgress.Builder.getMetrics()
org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIDataOrBuilder.getMetricValues()
org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData.getMetricValues()
org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData.Builder.getMetricValues()
org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIDataOrBuilder.getModifiedConfigs()
org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData.getModifiedConfigs()
org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData.Builder.getModifiedConfigs()
org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary.Builder.getMutableAttributes()
org.apache.spark.status.protobuf.StoreTypes.StateOperatorProgress.Builder.getMutableCustomMetrics()
org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress.Builder.getMutableDurationMs()
org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress.Builder.getMutableEventTime()
org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary.Builder.getMutableExecutorLogs()
org.apache.spark.status.protobuf.StoreTypes.TaskData.Builder.getMutableExecutorLogs()
org.apache.spark.status.protobuf.StoreTypes.ResourceProfileInfo.Builder.getMutableExecutorResources()
org.apache.spark.status.protobuf.StoreTypes.StageData.Builder.getMutableExecutorSummary()
org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData.Builder.getMutableJobs()
org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData.Builder.getMutableJobsValue()
org.apache.spark.status.protobuf.StoreTypes.StageData.Builder.getMutableKilledTasksSummary()
org.apache.spark.status.protobuf.StoreTypes.JobData.Builder.getMutableKillTasksSummary()
org.apache.spark.status.protobuf.StoreTypes.StageDataWrapper.Builder.getMutableLocality()
org.apache.spark.status.protobuf.StoreTypes.ExecutorMetrics.Builder.getMutableMetrics()
org.apache.spark.status.protobuf.StoreTypes.SourceProgress.Builder.getMutableMetrics()
org.apache.spark.status.protobuf.StoreTypes.SinkProgress.Builder.getMutableMetrics()
org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData.Builder.getMutableMetricValues()
org.apache.spark.status.protobuf.StoreTypes.SQLExecutionUIData.Builder.getMutableModifiedConfigs()
org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress.Builder.getMutableObservedMetrics()
org.apache.spark.status.protobuf.StoreTypes.ProcessSummary.Builder.getMutableProcessLogs()
org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary.Builder.getMutableResources()
org.apache.spark.status.protobuf.StoreTypes.ResourceProfileInfo.Builder.getMutableTaskResources()
org.apache.spark.status.protobuf.StoreTypes.StageData.Builder.getMutableTasks()
org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgressOrBuilder.getObservedMetrics()
org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress.getObservedMetrics()
org.apache.spark.status.protobuf.StoreTypes.StreamingQueryProgress.Builder.getObservedMetrics()
org.apache.spark.sql.SQLContext.getOrCreate(SparkContext) Use SparkSession.builder instead. Since 2.0.0.
org.apache.spark.status.protobuf.StoreTypes.ProcessSummaryOrBuilder.getProcessLogs()
org.apache.spark.status.protobuf.StoreTypes.ProcessSummary.getProcessLogs()
org.apache.spark.status.protobuf.StoreTypes.ProcessSummary.Builder.getProcessLogs()
org.apache.spark.status.protobuf.StoreTypes.ExecutorSummaryOrBuilder.getResources()
org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary.getResources()
org.apache.spark.status.protobuf.StoreTypes.ExecutorSummary.Builder.getResources()
org.apache.spark.status.protobuf.StoreTypes.ResourceProfileInfoOrBuilder.getTaskResources()
org.apache.spark.status.protobuf.StoreTypes.ResourceProfileInfo.getTaskResources()
org.apache.spark.status.protobuf.StoreTypes.ResourceProfileInfo.Builder.getTaskResources()
org.apache.spark.status.protobuf.StoreTypes.StageDataOrBuilder.getTasks()
org.apache.spark.status.protobuf.StoreTypes.StageData.getTasks()
org.apache.spark.status.protobuf.StoreTypes.StageData.Builder.getTasks()
org.apache.spark.status.api.v1.ExecutorSummary.isBlacklisted() use isExcluded instead. Since 3.1.0.
org.apache.spark.status.api.v1.ExecutorStageSummary.isBlacklistedForStage() use isExcludedForStage instead. Since 3.1.0.
org.apache.spark.sql.SQLContext.jdbc(String, String) As of 1.4.0, replaced by read().jdbc().
org.apache.spark.sql.SQLContext.jdbc(String, String, String[]) As of 1.4.0, replaced by read().jdbc().
org.apache.spark.sql.SQLContext.jdbc(String, String, String, long, long, int) As of 1.4.0, replaced by read().jdbc().
org.apache.spark.sql.DataFrameReader.json(JavaRDD<String>) Use json(Dataset[String]) instead. Since 2.2.0.
org.apache.spark.sql.DataFrameReader.json(RDD<String>) Use json(Dataset[String]) instead. Since 2.2.0.
org.apache.spark.sql.SQLContext.jsonFile(String) As of 1.4.0, replaced by read().json().
org.apache.spark.sql.SQLContext.jsonFile(String, double) As of 1.4.0, replaced by read().json().
org.apache.spark.sql.SQLContext.jsonFile(String, StructType) As of 1.4.0, replaced by read().json().
org.apache.spark.sql.SQLContext.jsonRDD(JavaRDD<String>) As of 1.4.0, replaced by read().json().
org.apache.spark.sql.SQLContext.jsonRDD(JavaRDD<String>, double) As of 1.4.0, replaced by read().json().
org.apache.spark.sql.SQLContext.jsonRDD(JavaRDD<String>, StructType) As of 1.4.0, replaced by read().json().
org.apache.spark.sql.SQLContext.jsonRDD(RDD<String>) As of 1.4.0, replaced by read().json().
org.apache.spark.sql.SQLContext.jsonRDD(RDD<String>, double) As of 1.4.0, replaced by read().json().
org.apache.spark.sql.SQLContext.jsonRDD(RDD<String>, StructType) As of 1.4.0, replaced by read().json().
org.apache.spark.ml.feature.StringIndexerModel.labels() `labels` is deprecated and will be removed in 3.1.0. Use `labelsArray` instead. Since 3.0.0.
org.apache.spark.sql.SQLContext.load(String) As of 1.4.0, replaced by read().load(path).
org.apache.spark.sql.SQLContext.load(String, Map<String, String>) As of 1.4.0, replaced by read().format(source).options(options).load().
org.apache.spark.sql.SQLContext.load(String, Map<String, String>) As of 1.4.0, replaced by read().format(source).options(options).load().
org.apache.spark.sql.SQLContext.load(String, String) As of 1.4.0, replaced by read().format(source).load(path).
org.apache.spark.sql.SQLContext.load(String, StructType, Map<String, String>) As of 1.4.0, replaced by read().format(source).schema(schema).options(options).load().
org.apache.spark.sql.SQLContext.load(String, StructType, Map<String, String>) As of 1.4.0, replaced by read().format(source).schema(schema).options(options).load().
org.apache.spark.sql.functions.monotonicallyIncreasingId() Use monotonically_increasing_id(). Since 2.0.0.
org.apache.spark.sql.SQLImplicits.newBooleanSeqEncoder() use newSequenceEncoder
org.apache.spark.sql.SQLImplicits.newByteSeqEncoder() use newSequenceEncoder
org.apache.spark.sql.SQLImplicits.newDoubleSeqEncoder() use newSequenceEncoder
org.apache.spark.sql.SQLImplicits.newFloatSeqEncoder() use newSequenceEncoder
org.apache.spark.sql.SQLImplicits.newIntSeqEncoder() use newSequenceEncoder
org.apache.spark.sql.SQLImplicits.newLongSeqEncoder() use newSequenceEncoder
org.apache.spark.sql.SQLImplicits.newProductSeqEncoder(TypeTags.TypeTag<A>) use newSequenceEncoder
org.apache.spark.sql.SQLImplicits.newShortSeqEncoder() use newSequenceEncoder
org.apache.spark.sql.SQLImplicits.newStringSeqEncoder() use newSequenceEncoder
org.apache.spark.sql.streaming.Trigger.Once() This is deprecated as of Spark 3.4.0. Use Trigger.AvailableNow() to leverage better guarantee of processing, fine-grained scale of batches, and better gradual processing of watermark advancement including no-data batch. See the NOTES in Trigger.AvailableNow() for details.
org.apache.spark.scheduler.SparkListenerInterface.onExecutorBlacklisted(SparkListenerExecutorBlacklisted) use onExecutorExcluded instead. Since 3.1.0.
org.apache.spark.scheduler.SparkListenerInterface.onExecutorBlacklistedForStage(SparkListenerExecutorBlacklistedForStage) use onExecutorExcludedForStage instead. Since 3.1.0.
org.apache.spark.scheduler.SparkListenerInterface.onExecutorUnblacklisted(SparkListenerExecutorUnblacklisted) use onExecutorUnexcluded instead. Since 3.1.0.
org.apache.spark.scheduler.SparkListenerInterface.onNodeBlacklisted(SparkListenerNodeBlacklisted) use onNodeExcluded instead. Since 3.1.0.
org.apache.spark.scheduler.SparkListenerInterface.onNodeBlacklistedForStage(SparkListenerNodeBlacklistedForStage) use onNodeExcludedForStage instead. Since 3.1.0.
org.apache.spark.scheduler.SparkListenerInterface.onNodeUnblacklisted(SparkListenerNodeUnblacklisted) use onNodeUnexcluded instead. Since 3.1.0.
org.apache.spark.sql.SQLContext.parquetFile(Seq<String>) Use read.parquet() instead. Since 1.4.0.
org.apache.spark.sql.SQLContext.parquetFile(String...) As of 1.4.0, replaced by read().parquet().
org.apache.spark.sql.UDFRegistration.register(String, UserDefinedAggregateFunction) this method and the use of UserDefinedAggregateFunction are deprecated. Aggregator[IN, BUF, OUT] should now be registered as a UDF via the functions.udaf(agg) method.
org.apache.spark.sql.Dataset.registerTempTable(String) Use createOrReplaceTempView(viewName) instead. Since 2.0.0.
org.apache.spark.sql.connector.catalog.Table.schema()
org.apache.spark.mllib.evaluation.BinaryClassificationMetrics.scoreLabelsWeight() The variable `scoreLabelsWeight` should be private and will be removed in 4.0.0. Since 3.4.0.
org.apache.spark.sql.SQLContext.setActive(SQLContext) Use SparkSession.setActiveSession instead. Since 2.0.0.
org.apache.spark.sql.functions.shiftLeft(Column, int) Use shiftleft. Since 3.2.0.
org.apache.spark.sql.functions.shiftRight(Column, int) Use shiftright. Since 3.2.0.
org.apache.spark.sql.functions.shiftRightUnsigned(Column, int) Use shiftrightunsigned. Since 3.2.0.
org.apache.spark.sql.connector.catalog.StagingTableCatalog.stageCreate(Identifier, StructType, Transform[], Map<String, String>)
org.apache.spark.sql.functions.sumDistinct(Column) Use sum_distinct. Since 3.2.0.
org.apache.spark.sql.functions.sumDistinct(String) Use sum_distinct. Since 3.2.0.
org.apache.spark.sql.functions.toDegrees(Column) Use degrees. Since 2.1.0.
org.apache.spark.sql.functions.toDegrees(String) Use degrees. Since 2.1.0.
org.apache.spark.sql.functions.toRadians(Column) Use radians. Since 2.1.0.
org.apache.spark.sql.functions.toRadians(String) Use radians. Since 2.1.0.
org.apache.spark.sql.functions.udf(Object, DataType) Scala `udf` method with return type parameter is deprecated. Please use Scala `udf` method without return type parameter. Since 3.0.0.
org.apache.spark.status.protobuf.StoreTypes.JobExecutionStatus.valueOf(int) Use StoreTypes.JobExecutionStatus.forNumber(int) instead.
org.apache.spark.status.protobuf.StoreTypes.DeterministicLevel.valueOf(int) Use StoreTypes.DeterministicLevel.forNumber(int) instead.
org.apache.spark.status.protobuf.StoreTypes.StageStatus.valueOf(int) Use StoreTypes.StageStatus.forNumber(int) instead.
org.apache.spark.status.protobuf.StoreTypes.SparkPlanGraphNodeWrapper.WrapperCase.valueOf(int) Use StoreTypes.SparkPlanGraphNodeWrapper.WrapperCase.forNumber(int) instead.

Deprecated Constructors

Constructor and Description
org.apache.spark.sql.SQLContext(JavaSparkContext) Use SparkSession.builder instead. Since 2.0.0.
org.apache.spark.sql.SQLContext(SparkContext) Use SparkSession.builder instead. Since 2.0.0.