classy 0.3.0

Classy: A Rust Library for Parsing Java Class Files
Documentation 
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package org.apache.spark.sql;

class SparkSession {
  org.apache.spark.sql.internal.SharedState sharedState;

  org.apache.spark.sql.internal.SessionState sessionState;

  org.apache.spark.sql.RuntimeConfig conf;

  org.apache.spark.sql.Dataset emptyDataFrame;

  org.apache.spark.sql.catalog.Catalog catalog;

  org.apache.spark.sql.SparkSession$implicits$ implicits$module;

  org.apache.spark.SparkContext sparkContext;

  scala.Option existingSharedState;

  scala.Option parentSessionState;

  org.apache.spark.sql.SparkSessionExtensions extensions;

  scala.collection.immutable.Map initialSessionOptions;

  org.apache.spark.util.CallSite org$apache$spark$sql$SparkSession$$creationSite;

  java.lang.String sessionUUID;

  org.apache.spark.sql.SQLContext sqlContext;

  org.slf4j.Logger org$apache$spark$internal$Logging$$log_;

  byte bitmap$trans$0;

  org.apache.spark.sql.SparkSession active();

  scala.Option getDefaultSession();

  scala.Option getActiveSession();

  void clearDefaultSession();

  void setDefaultSession(org.apache.spark.sql.SparkSession);

  void clearActiveSession();

  void setActiveSession(org.apache.spark.sql.SparkSession);

  org.apache.spark.sql.SparkSession$Builder builder();

  java.lang.String logName();

  org.slf4j.Logger log();

  void logInfo(scala.Function0);

  void logDebug(scala.Function0);

  void logTrace(scala.Function0);

  void logWarning(scala.Function0);

  void logError(scala.Function0);

  void logInfo(scala.Function0, java.lang.Throwable);

  void logDebug(scala.Function0, java.lang.Throwable);

  void logTrace(scala.Function0, java.lang.Throwable);

  void logWarning(scala.Function0, java.lang.Throwable);

  void logError(scala.Function0, java.lang.Throwable);

  boolean isTraceEnabled();

  void initializeLogIfNecessary(boolean);

  boolean initializeLogIfNecessary(boolean, boolean);

  boolean initializeLogIfNecessary$default$2();

  void initializeForcefully(boolean, boolean);

  org.apache.spark.sql.SparkSession$implicits$ implicits();

  org.slf4j.Logger org$apache$spark$internal$Logging$$log_();

  void org$apache$spark$internal$Logging$$log__$eq(org.slf4j.Logger);

  org.apache.spark.SparkContext sparkContext();

  scala.Option existingSharedState();

  scala.Option parentSessionState();

  org.apache.spark.sql.SparkSessionExtensions extensions();

  scala.collection.immutable.Map initialSessionOptions();

  org.apache.spark.util.CallSite org$apache$spark$sql$SparkSession$$creationSite();

  java.lang.String sessionUUID();

  java.lang.String version();

  org.apache.spark.sql.internal.SharedState sharedState$lzycompute();

  org.apache.spark.sql.internal.SharedState sharedState();

  org.apache.spark.sql.internal.SessionState sessionState$lzycompute();

  org.apache.spark.sql.internal.SessionState sessionState();

  org.apache.spark.sql.SQLContext sqlContext();

  org.apache.spark.sql.RuntimeConfig conf$lzycompute();

  org.apache.spark.sql.RuntimeConfig conf();

  org.apache.spark.sql.util.ExecutionListenerManager listenerManager();

  org.apache.spark.sql.ExperimentalMethods experimental();

  org.apache.spark.sql.UDFRegistration udf();

  org.apache.spark.sql.streaming.StreamingQueryManager streams();

  org.apache.spark.sql.SparkSession newSession();

  org.apache.spark.sql.SparkSession cloneSession();

  org.apache.spark.sql.Dataset emptyDataFrame$lzycompute();

  org.apache.spark.sql.Dataset emptyDataFrame();

  org.apache.spark.sql.Dataset emptyDataset(org.apache.spark.sql.Encoder);

  org.apache.spark.sql.Dataset createDataFrame(org.apache.spark.rdd.RDD, scala.reflect.api.TypeTags$TypeTag);

  org.apache.spark.sql.Dataset createDataFrame(scala.collection.Seq, scala.reflect.api.TypeTags$TypeTag);

  org.apache.spark.sql.Dataset createDataFrame(org.apache.spark.rdd.RDD, org.apache.spark.sql.types.StructType);

  org.apache.spark.sql.Dataset createDataFrame(org.apache.spark.api.java.JavaRDD, org.apache.spark.sql.types.StructType);

  org.apache.spark.sql.Dataset createDataFrame(java.util.List, org.apache.spark.sql.types.StructType);

  org.apache.spark.sql.Dataset createDataFrame(org.apache.spark.rdd.RDD, java.lang.Class);

  org.apache.spark.sql.Dataset createDataFrame(org.apache.spark.api.java.JavaRDD, java.lang.Class);

  org.apache.spark.sql.Dataset createDataFrame(java.util.List, java.lang.Class);

  org.apache.spark.sql.Dataset baseRelationToDataFrame(org.apache.spark.sql.sources.BaseRelation);

  org.apache.spark.sql.Dataset createDataset(scala.collection.Seq, org.apache.spark.sql.Encoder);

  org.apache.spark.sql.Dataset createDataset(org.apache.spark.rdd.RDD, org.apache.spark.sql.Encoder);

  org.apache.spark.sql.Dataset createDataset(java.util.List, org.apache.spark.sql.Encoder);

  org.apache.spark.sql.Dataset range(long);

  org.apache.spark.sql.Dataset range(long, long);

  org.apache.spark.sql.Dataset range(long, long, long);

  org.apache.spark.sql.Dataset range(long, long, long, int);

  org.apache.spark.sql.Dataset internalCreateDataFrame(org.apache.spark.rdd.RDD, org.apache.spark.sql.types.StructType, boolean);

  boolean internalCreateDataFrame$default$3();

  org.apache.spark.sql.catalog.Catalog catalog$lzycompute();

  org.apache.spark.sql.catalog.Catalog catalog();

  org.apache.spark.sql.Dataset table(java.lang.String);

  org.apache.spark.sql.Dataset table(org.apache.spark.sql.catalyst.TableIdentifier);

  org.apache.spark.sql.Dataset sql(java.lang.String, scala.collection.immutable.Map);

  org.apache.spark.sql.Dataset sql(java.lang.String, java.util.Map);

  org.apache.spark.sql.Dataset sql(java.lang.String);

  org.apache.spark.sql.Dataset executeCommand(java.lang.String, java.lang.String, scala.collection.immutable.Map);

  org.apache.spark.sql.DataFrameReader read();

  org.apache.spark.sql.streaming.DataStreamReader readStream();

  java.lang.Object time(scala.Function0);

  void stop();

  void close();

  org.apache.spark.sql.types.DataType parseDataType(java.lang.String);

  org.apache.spark.sql.Dataset applySchemaToPythonRDD(org.apache.spark.rdd.RDD, java.lang.String);

  org.apache.spark.sql.Dataset applySchemaToPythonRDD(org.apache.spark.rdd.RDD, org.apache.spark.sql.types.StructType);

  scala.collection.Seq getSchema(java.lang.Class);

  java.lang.Object withActive(scala.Function0);

  int leafNodeDefaultParallelism();

  void implicits$lzycompute$1();

  boolean $anonfun$new$2(org.apache.spark.sql.SparkSession);

  org.apache.spark.sql.internal.SQLConf $anonfun$new$3(org.apache.spark.sql.SparkSession);

  org.apache.spark.sql.internal.SQLConf $anonfun$new$4();

  org.apache.spark.sql.internal.SQLConf $anonfun$new$1();

  org.apache.spark.sql.internal.SharedState $anonfun$sharedState$1(org.apache.spark.sql.SparkSession);

  org.apache.spark.sql.internal.SessionState $anonfun$sessionState$1(org.apache.spark.sql.SparkSession, org.apache.spark.sql.internal.SessionState);

  org.apache.spark.sql.internal.SessionState $anonfun$sessionState$2(org.apache.spark.sql.SparkSession);

  org.apache.spark.sql.Dataset $anonfun$createDataFrame$1(org.apache.spark.sql.SparkSession, scala.reflect.api.TypeTags$TypeTag, org.apache.spark.rdd.RDD);

  org.apache.spark.sql.Dataset $anonfun$createDataFrame$2(org.apache.spark.sql.SparkSession, scala.reflect.api.TypeTags$TypeTag, scala.collection.Seq);

  org.apache.spark.sql.Dataset $anonfun$createDataFrame$3(org.apache.spark.sql.SparkSession, org.apache.spark.sql.types.StructType, org.apache.spark.rdd.RDD);

  org.apache.spark.sql.Dataset $anonfun$createDataFrame$4(org.apache.spark.sql.SparkSession, org.apache.spark.sql.types.StructType, java.util.List);

  scala.collection.Iterator $anonfun$createDataFrame$6(java.lang.String, scala.collection.Seq, scala.collection.Iterator);

  org.apache.spark.sql.Dataset $anonfun$createDataFrame$5(org.apache.spark.sql.SparkSession, java.lang.Class, org.apache.spark.rdd.RDD);

  org.apache.spark.sql.Dataset $anonfun$createDataFrame$7(org.apache.spark.sql.SparkSession, java.lang.Class, java.util.List);

  org.apache.spark.sql.catalyst.InternalRow $anonfun$createDataset$1(org.apache.spark.sql.catalyst.encoders.ExpressionEncoder$Serializer, java.lang.Object);

  org.apache.spark.sql.catalyst.expressions.Expression $anonfun$sql$3(java.lang.Object);

  org.apache.spark.sql.catalyst.plans.logical.LogicalPlan $anonfun$sql$2(org.apache.spark.sql.SparkSession, java.lang.String, scala.collection.immutable.Map);

  org.apache.spark.sql.Dataset $anonfun$sql$1(org.apache.spark.sql.SparkSession, java.lang.String, scala.collection.immutable.Map);

  org.apache.spark.sql.catalyst.InternalRow $anonfun$applySchemaToPythonRDD$2(scala.Function1, java.lang.Object[]);

  scala.collection.Iterator $anonfun$applySchemaToPythonRDD$1(org.apache.spark.sql.types.StructType, scala.collection.Iterator);

  org.apache.spark.sql.catalyst.expressions.AttributeReference $anonfun$getSchema$1(org.apache.spark.sql.types.StructField);

  int $anonfun$leafNodeDefaultParallelism$1(org.apache.spark.sql.SparkSession);

  void <init>(org.apache.spark.SparkContext, scala.Option, scala.Option, org.apache.spark.sql.SparkSessionExtensions, scala.collection.immutable.Map);

  void <init>(org.apache.spark.SparkContext, java.util.HashMap);

  void <init>(org.apache.spark.SparkContext);

  java.lang.Object $anonfun$new$2$adapted(org.apache.spark.sql.SparkSession);

  java.lang.Object $deserializeLambda$(java.lang.invoke.SerializedLambda);

}