org.apache.spark

Interface Logging

All Known Subinterfaces:

ActorHelper

All Known Implementing Classes:

ALS, ALS, ALSModel, AssociationRules, AsyncRDDActions, BaseRRDD, Binarizer, BinaryClassificationMetrics, BlockMatrix, Broadcast, Bucketizer, ClassificationModel, Classifier, CoGroupedRDD, Column, ColumnName, ColumnPruner, ConstantInputDStream, CountVectorizer, CountVectorizerModel, CrossValidator, CrossValidatorModel, DataFrameReader, DataValidators, DCT, DecisionTree, DecisionTreeClassificationModel, DecisionTreeClassifier, DecisionTreeRegressionModel, DecisionTreeRegressor, DoubleRDDFunctions, DStream, EdgeRDD, EdgeRDDImpl, ElementwiseProduct, Estimator, FPGrowth, GBTClassificationModel, GBTClassifier, GBTRegressionModel, GBTRegressor, GeneralizedLinearAlgorithm, GradientBoostedTrees, GradientDescent, GraphGenerators, GraphLoader, HadoopFsRelation, HadoopRDD, HashingTF, HiveContext, IDF, IDFModel, IndexToString, InputDStream, InputFormatInfo, IsotonicRegression, IsotonicRegressionModel, JdbcRDD, JobLogger, JobProgressListener, KinesisWordCountASL, KMeans, KMeans, KMeansModel, KryoSerializer, LassoWithSGD, LBFGS, LDA, LinearRegression, LinearRegressionModel, LinearRegressionWithSGD, LogisticRegression, LogisticRegressionModel, LogisticRegressionWithLBFGS, LogisticRegressionWithSGD, MatrixFactorizationModel, MinMaxScaler, MinMaxScalerModel, Model, MultilayerPerceptronClassificationModel, MultilayerPerceptronClassifier, NaiveBayes, NaiveBayes, NaiveBayesModel, NewHadoopRDD, NGram, Node, Normalizer, OneHotEncoder, OneVsRest, OneVsRestModel, OrderedRDDFunctions, PageRank, PairRDDFunctions, PairwiseRRDD, PartitionPruningRDD, PCA, PCAModel, Pipeline, PipelineModel, PipelineStage, PolynomialExpansion, PredictionModel, Predictor, PrefixSpan, Pregel, ProbabilisticClassificationModel, ProbabilisticClassifier, RandomForest, RandomForestClassificationModel, RandomForestClassifier, RandomForestRegressionModel, RandomForestRegressor, RankingMetrics, RDD, ReceiverInputDStream, RegexTokenizer, RegressionMetrics, RegressionModel, RFormula, RFormulaModel, RidgeRegressionWithSGD, RowMatrix, RRDD, ScriptTransformationWriterThread, SequenceFileRDDFunctions, ShuffledRDD, SizeEstimator, SparkConf, SparkContext, SparkEnv, SQLContext, StandardScaler, StandardScaler, StandardScalerModel, StatsReportListener, StopWordsRemover, StreamingContext, StreamingKMeans, StreamingKMeansModel, StreamingLinearAlgorithm, StreamingLinearRegressionWithSGD, StreamingLogisticRegressionWithSGD, StringIndexer, StringIndexerModel, StringRRDD, SVMWithSGD, Tokenizer, TrainValidationSplit, TrainValidationSplitModel, Transformer, UDFRegistration, UnaryTransformer, UnionRDD, VectorAssembler, VectorIndexer, VectorIndexerModel, VectorSlicer, VertexRDD, VertexRDDImpl, Word2Vec, Word2Vec, Word2VecModel

public interface Logging

:: DeveloperApi :: Utility trait for classes that want to log data. Creates a SLF4J logger for the class and allows logging messages at different levels using methods that only evaluate parameters lazily if the log level is enabled.

NOTE: DO NOT USE this class outside of Spark. It is intended as an internal utility. This will likely be changed or removed in future releases.

Method Summary

Methods

Modifier and Type	Method and Description
void	initializeIfNecessary()
void	initializeLogging()
boolean	isTraceEnabled()
org.slf4j.Logger	log_()
org.slf4j.Logger	log()
void	logDebug(scala.Function0<java.lang.String> msg)
void	logDebug(scala.Function0<java.lang.String> msg, java.lang.Throwable throwable)
void	logError(scala.Function0<java.lang.String> msg)
void	logError(scala.Function0<java.lang.String> msg, java.lang.Throwable throwable)
void	logInfo(scala.Function0<java.lang.String> msg)
void	logInfo(scala.Function0<java.lang.String> msg, java.lang.Throwable throwable)
java.lang.String	logName()
void	logTrace(scala.Function0<java.lang.String> msg)
void	logTrace(scala.Function0<java.lang.String> msg, java.lang.Throwable throwable)
void	logWarning(scala.Function0<java.lang.String> msg)
void	logWarning(scala.Function0<java.lang.String> msg, java.lang.Throwable throwable)

Method Detail

log_

org.slf4j.Logger log_()

logName

java.lang.String logName()

log

org.slf4j.Logger log()

logInfo

void logInfo(scala.Function0<java.lang.String> msg)

logDebug

void logDebug(scala.Function0<java.lang.String> msg)

logTrace

void logTrace(scala.Function0<java.lang.String> msg)

logWarning

void logWarning(scala.Function0<java.lang.String> msg)

logError

void logError(scala.Function0<java.lang.String> msg)

logInfo

void logInfo(scala.Function0<java.lang.String> msg,
           java.lang.Throwable throwable)

logDebug

void logDebug(scala.Function0<java.lang.String> msg,
            java.lang.Throwable throwable)

logTrace

void logTrace(scala.Function0<java.lang.String> msg,
            java.lang.Throwable throwable)

logWarning

void logWarning(scala.Function0<java.lang.String> msg,
              java.lang.Throwable throwable)

logError

void logError(scala.Function0<java.lang.String> msg,
            java.lang.Throwable throwable)

isTraceEnabled

boolean isTraceEnabled()

initializeIfNecessary

void initializeIfNecessary()

initializeLogging

void initializeLogging()