Index of /apache/spark/docs/4.0.0/api/R/reference
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!,Column-method.html 2025-05-27 06:47 284
avg,Column-method.html 2025-05-27 06:47 284
cov,SparkDataFrame-method.html 2025-05-27 06:47 284
cov,characterOrColumn-method.html 2025-05-27 06:47 284
covar_pop,characterOrColumn,characterOrColumn-method.html 2025-05-27 06:47 284
covar_pop.html 2025-05-27 06:47 284
covar_samp,characterOrColumn,characterOrColumn-method.html 2025-05-27 06:47 284
covar_samp.html 2025-05-27 06:47 284
dim,SparkDataFrame-method.html 2025-05-27 06:47 284
not,Column-method.html 2025-05-27 06:47 284
str,SparkDataFrame-method.html 2025-05-27 06:47 284
cast,Column-method.html 2025-05-27 06:47 286
corr,Column-method.html 2025-05-27 06:47 286
corr,SparkDataFrame-method.html 2025-05-27 06:47 286
count,SparkDataFrame-method.html 2025-05-27 06:47 286
cube,SparkDataFrame-method.html 2025-05-27 06:47 286
drop,ANY,ANY-method.html 2025-05-27 06:47 286
drop,SparkDataFrame,characterOrColumn-method.html 2025-05-27 06:47 286
head,SparkDataFrame-method.html 2025-05-27 06:47 286
hint,SparkDataFrame,character-method.html 2025-05-27 06:47 286
join,SparkDataFrame,SparkDataFrame-method.html 2025-05-27 06:47 286
last,characterOrColumn-method.html 2025-05-27 06:47 286
ncol,SparkDataFrame-method.html 2025-05-27 06:47 286
nrow,SparkDataFrame-method.html 2025-05-27 06:47 286
over,Column,WindowSpec-method.html 2025-05-27 06:47 286
show,Column-method.html 2025-05-27 06:47 286
show,GroupedData-method.html 2025-05-27 06:47 286
show,SparkDataFrame-method.html 2025-05-27 06:47 286
show,StreamingQuery-method.html 2025-05-27 06:47 286
show,WindowSpec-method.html 2025-05-27 06:47 286
take,SparkDataFrame,numeric-method.html 2025-05-27 06:47 286
with,SparkDataFrame-method.html 2025-05-27 06:47 286
%in%,Column-method.html 2025-05-27 06:47 288
alias,Column-method.html 2025-05-27 06:47 288
alias,SparkDataFrame-method.html 2025-05-27 06:47 288
cache,SparkDataFrame-method.html 2025-05-27 06:47 288
count,Column-method.html 2025-05-27 06:47 288
count,GroupedData-method.html 2025-05-27 06:47 288
first,SparkDataFrame-method.html 2025-05-27 06:47 288
first,characterOrColumn-method.html 2025-05-27 06:47 288
limit,SparkDataFrame,numeric-method.html 2025-05-27 06:47 288
merge,SparkDataFrame,SparkDataFrame-method.html 2025-05-27 06:47 288
n,Column-method.html 2025-05-27 06:47 288
n.html 2025-05-27 06:47 288
pivot,GroupedData,character-method.html 2025-05-27 06:47 288
rbind,SparkDataFrame-method.html 2025-05-27 06:47 288
union,SparkDataFrame,SparkDataFrame-method.html 2025-05-27 06:47 288
$,SparkDataFrame-method.html 2025-05-27 06:47 290
$.html 2025-05-27 06:47 290
Column-class.html 2025-05-27 06:47 290
[,SparkDataFrame-method.html 2025-05-27 06:47 290
[.html 2025-05-27 06:47 290
[[,SparkDataFrame,numericOrcharacter-method.html 2025-05-27 06:47 290
[[.html 2025-05-27 06:47 290
column,character-method.html 2025-05-27 06:47 290
column,jobj-method.html 2025-05-27 06:47 290
dapply,SparkDataFrame,function,characterOrstructType-method.html 2025-05-27 06:47 290
dtypes,SparkDataFrame-method.html 2025-05-27 06:47 290
except,SparkDataFrame,SparkDataFrame-method.html 2025-05-27 06:47 290
filter,SparkDataFrame,characterOrColumn-method.html 2025-05-27 06:47 290
fitted,KMeansModel-method.html 2025-05-27 06:47 290
gapply,GroupedData-method.html 2025-05-27 06:47 290
gapply,SparkDataFrame-method.html 2025-05-27 06:47 290
mutate,SparkDataFrame-method.html 2025-05-27 06:47 290
rename,SparkDataFrame-method.html 2025-05-27 06:47 290
rollup,SparkDataFrame-method.html 2025-05-27 06:47 290
sample,SparkDataFrame-method.html 2025-05-27 06:47 290
sample_frac,SparkDataFrame-method.html 2025-05-27 06:47 290
sample_frac.html 2025-05-27 06:47 290
schema,SparkDataFrame-method.html 2025-05-27 06:47 290
select,SparkDataFrame,Column-method.html 2025-05-27 06:47 290
select,SparkDataFrame,character-method.html 2025-05-27 06:47 290
select,SparkDataFrame,list-method.html 2025-05-27 06:47 290
showDF,SparkDataFrame-method.html 2025-05-27 06:47 290
status,StreamingQuery-method.html 2025-05-27 06:47 290
subset,SparkDataFrame-method.html 2025-05-27 06:47 290
substr,Column-method.html 2025-05-27 06:47 290
toJSON,SparkDataFrame-method.html 2025-05-27 06:47 290
transform,SparkDataFrame-method.html 2025-05-27 06:47 290
transform.html 2025-05-27 06:47 290
where,SparkDataFrame,characterOrColumn-method.html 2025-05-27 06:47 290
where.html 2025-05-27 06:47 290
withColumnRenamed,SparkDataFrame,character,character-method.html 2025-05-27 06:47 290
withColumnRenamed.html 2025-05-27 06:47 290
arrange,SparkDataFrame,Column-method.html 2025-05-27 06:47 292
arrange,SparkDataFrame,character-method.html 2025-05-27 06:47 292
between,Column-method.html 2025-05-27 06:47 292
collect,SparkDataFrame-method.html 2025-05-27 06:47 292
colnames,SparkDataFrame-method.html 2025-05-27 06:47 292
columns,SparkDataFrame-method.html 2025-05-27 06:47 292
explain,SparkDataFrame-method.html 2025-05-27 06:47 292
explain,StreamingQuery-method.html 2025-05-27 06:47 292
groupBy,SparkDataFrame-method.html 2025-05-27 06:47 292
group_by,SparkDataFrame-method.html 2025-05-27 06:47 292
isLocal,SparkDataFrame-method.html 2025-05-27 06:47 292
loadDF.html 2025-05-27 06:47 292
melt,SparkDataFrame,ANY,ANY,character,character-method.html 2025-05-27 06:47 292
melt.html 2025-05-27 06:47 292
names,SparkDataFrame-method.html 2025-05-27 06:47 292
names.html 2025-05-27 06:47 292
orderBy,SparkDataFrame,characterOrColumn-method.html 2025-05-27 06:47 292
orderBy,WindowSpec,Column-method.html 2025-05-27 06:47 292
orderBy,WindowSpec,character-method.html 2025-05-27 06:47 292
persist,SparkDataFrame,character-method.html 2025-05-27 06:47 292
summary,SparkDataFrame-method.html 2025-05-27 06:47 292
unpivot,SparkDataFrame,ANY,ANY,character,character-method.html 2025-05-27 06:47 292
coalesce,SparkDataFrame-method.html 2025-05-27 06:47 294
coltypes,SparkDataFrame-method.html 2025-05-27 06:47 294
crosstab,SparkDataFrame,character,character-method.html 2025-05-27 06:47 294
describe,SparkDataFrame,ANY-method.html 2025-05-27 06:47 294
describe,SparkDataFrame,character-method.html 2025-05-27 06:47 294
describe,SparkDataFrame-method.html 2025-05-27 06:47 294
distinct,SparkDataFrame-method.html 2025-05-27 06:47 294
endsWith,Column-method.html 2025-05-27 06:47 294
isActive,StreamingQuery-method.html 2025-05-27 06:47 294
predict,LinearRegressionModel,SparkDataFrame-method.html 2025-05-27 06:47 294
predict,LinearRegressionModel-method.html 2025-05-27 06:47 294
sampleBy,SparkDataFrame,character,list,numeric-method.html 2025-05-27 06:47 294
saveDF,SparkDataFrame,character-method.html 2025-05-27 06:47 294
saveDF.html 2025-05-27 06:47 294
spark.lm,SparkDataFrame,formula-method.html 2025-05-27 06:47 294
summary,LinearRegressionModel-method.html 2025-05-27 06:47 294
unionAll,SparkDataFrame,SparkDataFrame-method.html 2025-05-27 06:47 294
unique,SparkDataFrame-method.html 2025-05-27 06:47 294
unique.html 2025-05-27 06:47 294
write.df,SparkDataFrame-method.html 2025-05-27 06:47 294
write.ml,LinearRegressionModel,character-method.html 2025-05-27 06:47 294
agg,GroupedData-method.html 2025-05-27 06:47 296
agg,SparkDataFrame-method.html 2025-05-27 06:47 296
broadcast,SparkDataFrame-method.html 2025-05-27 06:47 296
crossJoin,SparkDataFrame,SparkDataFrame-method.html 2025-05-27 06:47 296
exceptAll,SparkDataFrame,SparkDataFrame-method.html 2025-05-27 06:47 296
freqItems,SparkDataFrame,character-method.html 2025-05-27 06:47 296
histogram,SparkDataFrame,characterOrColumn-method.html 2025-05-27 06:47 296
intersect,SparkDataFrame,SparkDataFrame-method.html 2025-05-27 06:47 296
otherwise,Column-method.html 2025-05-27 06:47 296
predict,ALSModel-method.html 2025-05-27 06:47 296
predict,GBTClassificationModel-method.html 2025-05-27 06:47 296
predict,GBTRegressionModel-method.html 2025-05-27 06:47 296
predict,GeneralizedLinearRegressionModel-method.html 2025-05-27 06:47 296
predict,MultilayerPerceptronClassificationModel-method.html 2025-05-27 06:47 296
print.summary.GBTClassificationModel.html 2025-05-27 06:47 296
print.summary.GBTRegressionModel.html 2025-05-27 06:47 296
print.summary.GeneralizedLinearRegressionModel.html 2025-05-27 06:47 296
queryName,StreamingQuery-method.html 2025-05-27 06:47 296
spark.als,SparkDataFrame-method.html 2025-05-27 06:47 296
spark.gbt,SparkDataFrame,formula-method.html 2025-05-27 06:47 296
spark.glm,SparkDataFrame,formula-method.html 2025-05-27 06:47 296
spark.lda,SparkDataFrame-method.html 2025-05-27 06:47 296
spark.mlp,SparkDataFrame,formula-method.html 2025-05-27 06:47 296
spark.perplexity,LDAModel,SparkDataFrame-method.html 2025-05-27 06:47 296
spark.perplexity,LDAModel-method.html 2025-05-27 06:47 296
spark.perplexity.html 2025-05-27 06:47 296
spark.posterior,LDAModel,SparkDataFrame-method.html 2025-05-27 06:47 296
spark.posterior.html 2025-05-27 06:47 296
stopQuery,StreamingQuery-method.html 2025-05-27 06:47 296
summarize,GroupedData-method.html 2025-05-27 06:47 296
summarize,SparkDataFrame-method.html 2025-05-27 06:47 296
summary,ALSModel-method.html 2025-05-27 06:47 296
summary,GBTClassificationModel-method.html 2025-05-27 06:47 296
summary,GBTRegressionModel-method.html 2025-05-27 06:47 296
summary,GeneralizedLinearRegressionModel-method.html 2025-05-27 06:47 296
summary,LDAModel-method.html 2025-05-27 06:47 296
summary,MultilayerPerceptronClassificationModel-method.html 2025-05-27 06:47 296
unpersist,SparkDataFrame-method.html 2025-05-27 06:47 296
withField,Column,character,Column-method.html 2025-05-27 06:47 296
withField,Column-method.html 2025-05-27 06:47 296
write.ml,ALSModel,character-method.html 2025-05-27 06:47 296
write.ml,GBTClassificationModel,character-method.html 2025-05-27 06:47 296
write.ml,GBTRegressionModel,character-method.html 2025-05-27 06:47 296
write.ml,GeneralizedLinearRegressionModel,character-method.html 2025-05-27 06:47 296
write.ml,LDAModel,character-method.html 2025-05-27 06:47 296
write.ml,MultilayerPerceptronClassificationModel,character-method.html 2025-05-27 06:47 296
write.orc,SparkDataFrame,character-method.html 2025-05-27 06:47 296
checkpoint,SparkDataFrame-method.html 2025-05-27 06:47 298
dropFields,Column-method.html 2025-05-27 06:47 298
insertInto,SparkDataFrame,character-method.html 2025-05-27 06:47 298
selectExpr,SparkDataFrame,character-method.html 2025-05-27 06:47 298
startsWith,Column-method.html 2025-05-27 06:47 298
structType.character.html 2025-05-27 06:47 298
structType.jobj.html 2025-05-27 06:47 298
structType.structField.html 2025-05-27 06:47 298
withColumn,SparkDataFrame,character-method.html 2025-05-27 06:47 298
write.jdbc,SparkDataFrame,character,character-method.html 2025-05-27 06:47 298
write.json,SparkDataFrame,character-method.html 2025-05-27 06:47 298
write.text,SparkDataFrame,character-method.html 2025-05-27 06:47 298
dropna,SparkDataFrame-method.html 2025-05-27 06:47 300
fillna,SparkDataFrame-method.html 2025-05-27 06:47 300
fillna.html 2025-05-27 06:47 300
groupedData.html 2025-05-27 06:47 300
isStreaming,SparkDataFrame-method.html 2025-05-27 06:47 300
na.omit,SparkDataFrame-method.html 2025-05-27 06:47 300
na.omit.html 2025-05-27 06:47 300
partitionBy,WindowSpec-method.html 2025-05-27 06:47 300
predict,LogisticRegressionModel,SparkDataFrame-method.html 2025-05-27 06:47 300
predict,LogisticRegressionModel-method.html 2025-05-27 06:47 300
printSchema,SparkDataFrame-method.html 2025-05-27 06:47 300
randomSplit,SparkDataFrame,numeric-method.html 2025-05-27 06:47 300
repartition,SparkDataFrame-method.html 2025-05-27 06:47 300
rowsBetween,WindowSpec,numeric,numeric-method.html 2025-05-27 06:47 300
saveAsTable,SparkDataFrame,character-method.html 2025-05-27 06:47 300
spark.logit,SparkDataFrame,formula-method.html 2025-05-27 06:47 300
structField.character.html 2025-05-27 06:47 300
structField.jobj.html 2025-05-27 06:47 300
summary,LogisticRegressionModel-method.html 2025-05-27 06:47 300
unionByName,SparkDataFrame,SparkDataFrame-method.html 2025-05-27 06:47 300
write.ml,LogisticRegressionModel,character-method.html 2025-05-27 06:47 300
intersectAll,SparkDataFrame,SparkDataFrame-method.html 2025-05-27 06:47 302
lastProgress,StreamingQuery-method.html 2025-05-27 06:47 302
predict,IsotonicRegressionModel,SparkDataFrame-method.html 2025-05-27 06:47 302
predict,IsotonicRegressionModel-method.html 2025-05-27 06:47 302
predict,KMeansModel-method.html 2025-05-27 06:47 302
print.summary.KSTest.html 2025-05-27 06:47 302
rangeBetween,WindowSpec,numeric,numeric-method.html 2025-05-27 06:47 302
spark.isoreg,SparkDataFrame,formula-method.html 2025-05-27 06:47 302
spark.kmeans,SparkDataFrame,formula-method.html 2025-05-27 06:47 302
spark.kstest,SparkDataFrame-method.html 2025-05-27 06:47 302
storageLevel,SparkDataFrame-method.html 2025-05-27 06:47 302
summary,IsotonicRegressionModel-method.html 2025-05-27 06:47 302
summary,KMeansModel-method.html 2025-05-27 06:47 302
summary,KSTest-method.html 2025-05-27 06:47 302
write.ml,IsotonicRegressionModel,character-method.html 2025-05-27 06:47 302
write.ml,KMeansModel,character-method.html 2025-05-27 06:47 302
write.stream,SparkDataFrame-method.html 2025-05-27 06:47 302
as.data.frame,SparkDataFrame-method.html 2025-05-27 06:47 304
dapplyCollect,SparkDataFrame,function-method.html 2025-05-27 06:47 304
gapplyCollect,GroupedData-method.html 2025-05-27 06:47 304
gapplyCollect,SparkDataFrame-method.html 2025-05-27 06:47 304
predict,AFTSurvivalRegressionModel-method.html 2025-05-27 06:47 304
spark.survreg,SparkDataFrame,formula-method.html 2025-05-27 06:47 304
summary,AFTSurvivalRegressionModel-method.html 2025-05-27 06:47 304
windowOrderBy,Column-method.html 2025-05-27 06:47 304
windowOrderBy,character-method.html 2025-05-27 06:47 304
withWatermark,SparkDataFrame,character,character-method.html 2025-05-27 06:47 304
write.ml,AFTSurvivalRegressionModel,character-method.html 2025-05-27 06:47 304
write.parquet,SparkDataFrame,character-method.html 2025-05-27 06:47 304
approxQuantile,SparkDataFrame,character,numeric,numeric-method.html 2025-05-27 06:47 306
associationRules,FPGrowthModel-method.html 2025-05-27 06:47 306
dropDuplicates,SparkDataFrame-method.html 2025-05-27 06:47 306
freqItemsets,FPGrowthModel-method.html 2025-05-27 06:47 306
predict,FPGrowthModel-method.html 2025-05-27 06:47 306
spark.associationRules,FPGrowthModel-method.html 2025-05-27 06:47 306
spark.associationRules.html 2025-05-27 06:47 306
spark.fpGrowth,SparkDataFrame-method.html 2025-05-27 06:47 306
spark.freqItemsets,FPGrowthModel-method.html 2025-05-27 06:47 306
spark.freqItemsets.html 2025-05-27 06:47 306
write.ml,FPGrowthModel,character-method.html 2025-05-27 06:47 306
as.DataFrame.html 2025-05-27 06:47 308
asc_nulls_first.html 2025-05-27 06:47 308
asc_nulls_last.html 2025-05-27 06:47 308
contains.html 2025-05-27 06:47 308
desc.html 2025-05-27 06:47 308
desc_nulls_first.html 2025-05-27 06:47 308
desc_nulls_last.html 2025-05-27 06:47 308
getField.html 2025-05-27 06:47 308
getItem.html 2025-05-27 06:47 308
ilike.html 2025-05-27 06:47 308
isNaN.html 2025-05-27 06:47 308
isNotNull.html 2025-05-27 06:47 308
isNull.html 2025-05-27 06:47 308
like.html 2025-05-27 06:47 308
localCheckpoint,SparkDataFrame-method.html 2025-05-27 06:47 308
predict,LinearSVCModel,SparkDataFrame-method.html 2025-05-27 06:47 308
predict,LinearSVCModel-method.html 2025-05-27 06:47 308
rlike.html 2025-05-27 06:47 308
spark.svmLinear,SparkDataFrame,formula-method.html 2025-05-27 06:47 308
summary,LinearSVCModel-method.html 2025-05-27 06:47 308
write.ml,LinearSVCModel,character-method.html 2025-05-27 06:47 308
awaitTermination,StreamingQuery-method.html 2025-05-27 06:47 310
findFrequentSequentialPatterns,PrefixSpan,SparkDataFrame-method.html 2025-05-27 06:47 310
getNumPartitions,SparkDataFrame-method.html 2025-05-27 06:47 310
predict,NaiveBayesModel-method.html 2025-05-27 06:47 310
spark.findFrequentSequentialPatterns,SparkDataFrame-method.html 2025-05-27 06:47 310
spark.naiveBayes,SparkDataFrame,formula-method.html 2025-05-27 06:47 310
summary,NaiveBayesModel-method.html 2025-05-27 06:47 310
write.ml,NaiveBayesModel,character-method.html 2025-05-27 06:47 310
predict,FMRegressionModel,SparkDataFrame-method.html 2025-05-27 06:47 312
predict,FMRegressionModel-method.html 2025-05-27 06:47 312
spark.fmRegressor,SparkDataFrame,formula-method.html 2025-05-27 06:47 312
summary,FMRegressionModel-method.html 2025-05-27 06:47 312
windowPartitionBy,Column-method.html 2025-05-27 06:47 312
windowPartitionBy,character-method.html 2025-05-27 06:47 312
write.ml,FMRegressionModel,character-method.html 2025-05-27 06:47 312
predict,DecisionTreeClassificationModel-method.html 2025-05-27 06:47 314
predict,DecisionTreeRegressionModel-method.html 2025-05-27 06:47 314
predict,FMClassificationModel,SparkDataFrame-method.html 2025-05-27 06:47 314
predict,FMClassificationModel-method.html 2025-05-27 06:47 314
predict,RandomForestClassificationModel-method.html 2025-05-27 06:47 314
predict,RandomForestRegressionModel-method.html 2025-05-27 06:47 314
print.summary.DecisionTreeClassificationModel.html 2025-05-27 06:47 314
print.summary.DecisionTreeRegressionModel.html 2025-05-27 06:47 314
print.summary.RandomForestClassificationModel.html 2025-05-27 06:47 314
print.summary.RandomForestRegressionModel.html 2025-05-27 06:47 314
repartitionByRange,SparkDataFrame-method.html 2025-05-27 06:47 314
spark.decisionTree,SparkDataFrame,formula-method.html 2025-05-27 06:47 314
spark.fmClassifier,SparkDataFrame,formula-method.html 2025-05-27 06:47 314
spark.randomForest,SparkDataFrame,formula-method.html 2025-05-27 06:47 314
summary,DecisionTreeClassificationModel-method.html 2025-05-27 06:47 314
summary,DecisionTreeRegressionModel-method.html 2025-05-27 06:47 314
summary,FMClassificationModel-method.html 2025-05-27 06:47 314
summary,RandomForestClassificationModel-method.html 2025-05-27 06:47 314
summary,RandomForestRegressionModel-method.html 2025-05-27 06:47 314
write.ml,DecisionTreeClassificationModel,character-method.html 2025-05-27 06:47 314
write.ml,DecisionTreeRegressionModel,character-method.html 2025-05-27 06:47 314
write.ml,FMClassificationModel,character-method.html 2025-05-27 06:47 314
write.ml,RandomForestClassificationModel,character-method.html 2025-05-27 06:47 314
write.ml,RandomForestRegressionModel,character-method.html 2025-05-27 06:47 314
array_to_vector,Column-method.html 2025-05-27 06:47 316
array_to_vector.html 2025-05-27 06:47 316
sparkR.stop.html 2025-05-27 06:47 316
vector_to_array,Column-method.html 2025-05-27 06:47 316
vector_to_array.html 2025-05-27 06:47 316
abs,Column-method.html 2025-05-27 06:47 320
abs.html 2025-05-27 06:47 320
acos,Column-method.html 2025-05-27 06:47 320
acos.html 2025-05-27 06:47 320
acosh,Column-method.html 2025-05-27 06:47 320
acosh.html 2025-05-27 06:47 320
asin,Column-method.html 2025-05-27 06:47 320
asin.html 2025-05-27 06:47 320
asinh,Column-method.html 2025-05-27 06:47 320
asinh.html 2025-05-27 06:47 320
assert_true,Column-method.html 2025-05-27 06:47 320
assert_true.html 2025-05-27 06:47 320
atan,Column-method.html 2025-05-27 06:47 320
atan.html 2025-05-27 06:47 320
atan2,Column-method.html 2025-05-27 06:47 320
atan2.html 2025-05-27 06:47 320
atanh,Column-method.html 2025-05-27 06:47 320
atanh.html 2025-05-27 06:47 320
bin,Column-method.html 2025-05-27 06:47 320
bin.html 2025-05-27 06:47 320
bround,Column-method.html 2025-05-27 06:47 320
bround.html 2025-05-27 06:47 320
cbrt,Column-method.html 2025-05-27 06:47 320
cbrt.html 2025-05-27 06:47 320
ceil,Column-method.html 2025-05-27 06:47 320
ceil.html 2025-05-27 06:47 320
ceiling,Column-method.html 2025-05-27 06:47 320
ceiling.html 2025-05-27 06:47 320
conv,Column,numeric,numeric-method.html 2025-05-27 06:47 320
conv.html 2025-05-27 06:47 320
cos,Column-method.html 2025-05-27 06:47 320
cos.html 2025-05-27 06:47 320
cosh,Column-method.html 2025-05-27 06:47 320
cosh.html 2025-05-27 06:47 320
cot,Column-method.html 2025-05-27 06:47 320
cot.html 2025-05-27 06:47 320
crc32,Column-method.html 2025-05-27 06:47 320
crc32.html 2025-05-27 06:47 320
csc,Column-method.html 2025-05-27 06:47 320
csc.html 2025-05-27 06:47 320
degrees,Column-method.html 2025-05-27 06:47 320
degrees.html 2025-05-27 06:47 320
exp,Column-method.html 2025-05-27 06:47 320
exp.html 2025-05-27 06:47 320
expm1,Column-method.html 2025-05-27 06:47 320
expm1.html 2025-05-27 06:47 320
factorial,Column-method.html 2025-05-27 06:47 320
factorial.html 2025-05-27 06:47 320
fitted,BisectingKMeansModel-method.html 2025-05-27 06:47 320
floor,Column-method.html 2025-05-27 06:47 320
floor.html 2025-05-27 06:47 320
from_avro,Column-method.html 2025-05-27 06:47 320
from_avro,characterOrColumn-method.html 2025-05-27 06:47 320
from_avro.html 2025-05-27 06:47 320
hash,Column-method.html 2025-05-27 06:47 320
hash.html 2025-05-27 06:47 320
hex,Column-method.html 2025-05-27 06:47 320
hex.html 2025-05-27 06:47 320
hypot,Column-method.html 2025-05-27 06:47 320
hypot.html 2025-05-27 06:47 320
ln,Column-method.html 2025-05-27 06:47 320
ln.html 2025-05-27 06:47 320
log,Column-method.html 2025-05-27 06:47 320
log.html 2025-05-27 06:47 320
log10,Column-method.html 2025-05-27 06:47 320
log10.html 2025-05-27 06:47 320
log1p,Column-method.html 2025-05-27 06:47 320
log1p.html 2025-05-27 06:47 320
log2,Column-method.html 2025-05-27 06:47 320
log2.html 2025-05-27 06:47 320
md5,Column-method.html 2025-05-27 06:47 320
md5.html 2025-05-27 06:47 320
pmod,Column-method.html 2025-05-27 06:47 320
pmod.html 2025-05-27 06:47 320
predict,BisectingKMeansModel-method.html 2025-05-27 06:47 320
predict,GaussianMixtureModel,SparkDataFrame-method.html 2025-05-27 06:47 320
predict,GaussianMixtureModel-method.html 2025-05-27 06:47 320
radians,Column-method.html 2025-05-27 06:47 320
radians.html 2025-05-27 06:47 320
raise_error,characterOrColumn-method.html 2025-05-27 06:47 320
raise_error.html 2025-05-27 06:47 320
rint,Column-method.html 2025-05-27 06:47 320
rint.html 2025-05-27 06:47 320
round,Column-method.html 2025-05-27 06:47 320
round.html 2025-05-27 06:47 320
sec,Column-method.html 2025-05-27 06:47 320
sec.html 2025-05-27 06:47 320
sha1,Column-method.html 2025-05-27 06:47 320
sha1.html 2025-05-27 06:47 320
sha2,Column,numeric-method.html 2025-05-27 06:47 320
sha2.html 2025-05-27 06:47 320
shiftLeft,Column,numeric-method.html 2025-05-27 06:47 320
shiftLeft.html 2025-05-27 06:47 320
shiftRight,Column,numeric-method.html 2025-05-27 06:47 320
shiftRight.html 2025-05-27 06:47 320
shiftRightUnsigned,Column,numeric-method.html 2025-05-27 06:47 320
shiftRightUnsigned.html 2025-05-27 06:47 320
shiftleft,Column,numeric-method.html 2025-05-27 06:47 320
shiftleft.html 2025-05-27 06:47 320
shiftright,Column,numeric-method.html 2025-05-27 06:47 320
shiftright.html 2025-05-27 06:47 320
shiftrightunsigned,Column,numeric-method.html 2025-05-27 06:47 320
shiftrightunsigned.html 2025-05-27 06:47 320
sign,Column-method.html 2025-05-27 06:47 320
sign.html 2025-05-27 06:47 320
signum,Column-method.html 2025-05-27 06:47 320
signum.html 2025-05-27 06:47 320
sin,Column-method.html 2025-05-27 06:47 320
sin.html 2025-05-27 06:47 320
sinh,Column-method.html 2025-05-27 06:47 320
sinh.html 2025-05-27 06:47 320
spark.bisectingKmeans,SparkDataFrame,formula-method.html 2025-05-27 06:47 320
spark.gaussianMixture,SparkDataFrame,formula-method.html 2025-05-27 06:47 320
sqrt,Column-method.html 2025-05-27 06:47 320
sqrt.html 2025-05-27 06:47 320
summary,BisectingKMeansModel-method.html 2025-05-27 06:47 320
summary,GaussianMixtureModel-method.html 2025-05-27 06:47 320
tan,Column-method.html 2025-05-27 06:47 320
tan.html 2025-05-27 06:47 320
tanh,Column-method.html 2025-05-27 06:47 320
tanh.html 2025-05-27 06:47 320
toDegrees,Column-method.html 2025-05-27 06:47 320
toDegrees.html 2025-05-27 06:47 320
toRadians,Column-method.html 2025-05-27 06:47 320
toRadians.html 2025-05-27 06:47 320
to_avro,Column-method.html 2025-05-27 06:47 320
to_avro,characterOrColumn-method.html 2025-05-27 06:47 320
to_avro.html 2025-05-27 06:47 320
unhex,Column-method.html 2025-05-27 06:47 320
unhex.html 2025-05-27 06:47 320
width_bucket,Column,Column,Column,Column-method.html 2025-05-27 06:47 320
width_bucket,Column-method.html 2025-05-27 06:47 320
width_bucket.html 2025-05-27 06:47 320
write.ml,BisectingKMeansModel,character-method.html 2025-05-27 06:47 320
write.ml,GaussianMixtureModel,character-method.html 2025-05-27 06:47 320
xxhash64,Column-method.html 2025-05-27 06:47 320
xxhash64.html 2025-05-27 06:47 320
ascii,Column-method.html 2025-05-27 06:47 324
ascii.html 2025-05-27 06:47 324
base64,Column-method.html 2025-05-27 06:47 324
base64.html 2025-05-27 06:47 324
bit_length,Column-method.html 2025-05-27 06:47 324
bit_length.html 2025-05-27 06:47 324
collate,Column,character-method.html 2025-05-27 06:47 324
collate,Column-method.html 2025-05-27 06:47 324
collate.html 2025-05-27 06:47 324
collation,Column-method.html 2025-05-27 06:47 324
collation.html 2025-05-27 06:47 324
concat_ws,character,Column-method.html 2025-05-27 06:47 324
concat_ws.html 2025-05-27 06:47 324
createOrReplaceTempView,SparkDataFrame,character-method.html 2025-05-27 06:47 324
cume_dist,missing-method.html 2025-05-27 06:47 324
cume_dist.html 2025-05-27 06:47 324
decode,Column,character-method.html 2025-05-27 06:47 324
decode.html 2025-05-27 06:47 324
dense_rank,missing-method.html 2025-05-27 06:47 324
dense_rank.html 2025-05-27 06:47 324
encode,Column,character-method.html 2025-05-27 06:47 324
encode.html 2025-05-27 06:47 324
format_number,Column,numeric-method.html 2025-05-27 06:47 324
format_number.html 2025-05-27 06:47 324
format_string,character,Column-method.html 2025-05-27 06:47 324
format_string.html 2025-05-27 06:47 324
initcap,Column-method.html 2025-05-27 06:47 324
initcap.html 2025-05-27 06:47 324
instr,Column,character-method.html 2025-05-27 06:47 324
instr.html 2025-05-27 06:47 324
lag,characterOrColumn-method.html 2025-05-27 06:47 324
lag.html 2025-05-27 06:47 324
lead,characterOrColumn,numeric-method.html 2025-05-27 06:47 324
lead.html 2025-05-27 06:47 324
length,Column-method.html 2025-05-27 06:47 324
length.html 2025-05-27 06:47 324
levenshtein,Column-method.html 2025-05-27 06:47 324
levenshtein.html 2025-05-27 06:47 324
locate,character,Column-method.html 2025-05-27 06:47 324
locate.html 2025-05-27 06:47 324
lower,Column-method.html 2025-05-27 06:47 324
lower.html 2025-05-27 06:47 324
lpad,Column,numeric,character-method.html 2025-05-27 06:47 324
lpad.html 2025-05-27 06:47 324
ltrim,Column,character-method.html 2025-05-27 06:47 324
ltrim,Column,missing-method.html 2025-05-27 06:47 324
ltrim.html 2025-05-27 06:47 324
nth_value,characterOrColumn,numeric-method.html 2025-05-27 06:47 324
nth_value,characterOrColumn-method.html 2025-05-27 06:47 324
nth_value.html 2025-05-27 06:47 324
ntile,numeric-method.html 2025-05-27 06:47 324
ntile.html 2025-05-27 06:47 324
octet_length,Column-method.html 2025-05-27 06:47 324
octet_length.html 2025-05-27 06:47 324
overlay,Column,Column,numericOrColumn-method.html 2025-05-27 06:47 324
overlay,Column-method,numericOrColumn-method.html 2025-05-27 06:47 324
overlay.html 2025-05-27 06:47 324
percent_rank,missing-method.html 2025-05-27 06:47 324
percent_rank.html 2025-05-27 06:47 324
rank,ANY-method.html 2025-05-27 06:47 324
rank,missing-method.html 2025-05-27 06:47 324
rank.html 2025-05-27 06:47 324
regexp_extract,Column,character,numeric-method.html 2025-05-27 06:47 324
regexp_extract.html 2025-05-27 06:47 324
regexp_replace,Column,character,character-method.html 2025-05-27 06:47 324
regexp_replace.html 2025-05-27 06:47 324
repeat_string,Column,numeric-method.html 2025-05-27 06:47 324
repeat_string,Column-method.html 2025-05-27 06:47 324
repeat_string.html 2025-05-27 06:47 324
row_number,missing-method.html 2025-05-27 06:47 324
row_number.html 2025-05-27 06:47 324
rpad,Column,numeric,character-method.html 2025-05-27 06:47 324
rpad.html 2025-05-27 06:47 324
rtrim,Column,character-method.html 2025-05-27 06:47 324
rtrim,Column,missing-method.html 2025-05-27 06:47 324
rtrim.html 2025-05-27 06:47 324
soundex,Column-method.html 2025-05-27 06:47 324
soundex.html 2025-05-27 06:47 324
split_string,Column,character-method.html 2025-05-27 06:47 324
split_string,Column-method.html 2025-05-27 06:47 324
split_string.html 2025-05-27 06:47 324
substring_index,Column,character,numeric-method.html 2025-05-27 06:47 324
substring_index.html 2025-05-27 06:47 324
translate,Column,character,character-method.html 2025-05-27 06:47 324
translate.html 2025-05-27 06:47 324
trim,Column,character-method.html 2025-05-27 06:47 324
trim,Column,missing-method.html 2025-05-27 06:47 324
trim.html 2025-05-27 06:47 324
unbase64,Column-method.html 2025-05-27 06:47 324
unbase64.html 2025-05-27 06:47 324
upper,Column-method.html 2025-05-27 06:47 324
upper.html 2025-05-27 06:47 324
current_date,missing-method.html 2025-05-27 06:47 328
current_date.html 2025-05-27 06:47 328
current_timestamp,missing-method.html 2025-05-27 06:47 328
current_timestamp.html 2025-05-27 06:47 328
date_trunc,character,Column-method.html 2025-05-27 06:47 328
date_trunc.html 2025-05-27 06:47 328
dayname,Column-method.html 2025-05-27 06:47 328
dayname.html 2025-05-27 06:47 328
dayofmonth,Column-method.html 2025-05-27 06:47 328
dayofmonth.html 2025-05-27 06:47 328
dayofweek,Column-method.html 2025-05-27 06:47 328
dayofweek.html 2025-05-27 06:47 328
dayofyear,Column-method.html 2025-05-27 06:47 328
dayofyear.html 2025-05-27 06:47 328
from_unixtime,Column-method.html 2025-05-27 06:47 328
from_unixtime.html 2025-05-27 06:47 328
hour,Column-method.html 2025-05-27 06:47 328
hour.html 2025-05-27 06:47 328
last_day,Column-method.html 2025-05-27 06:47 328
last_day.html 2025-05-27 06:47 328
make_date,Column,Column,Column-method.html 2025-05-27 06:47 328
make_date,Column-method.html 2025-05-27 06:47 328
make_date.html 2025-05-27 06:47 328
minute,Column-method.html 2025-05-27 06:47 328
minute.html 2025-05-27 06:47 328
month,Column-method.html 2025-05-27 06:47 328
month.html 2025-05-27 06:47 328
monthname,Column-method.html 2025-05-27 06:47 328
monthname.html 2025-05-27 06:47 328
quarter,Column-method.html 2025-05-27 06:47 328
quarter.html 2025-05-27 06:47 328
second,Column-method.html 2025-05-27 06:47 328
second.html 2025-05-27 06:47 328
timestamp_seconds,Column-method.html 2025-05-27 06:47 328
to_date,Column,character-method.html 2025-05-27 06:47 328
to_date,Column,missing-method.html 2025-05-27 06:47 328
to_date.html 2025-05-27 06:47 328
to_timestamp,Column,character-method.html 2025-05-27 06:47 328
to_timestamp,Column,missing-method.html 2025-05-27 06:47 328
to_timestamp.html 2025-05-27 06:47 328
trunc,Column-method.html 2025-05-27 06:47 328
trunc.html 2025-05-27 06:47 328
unix_timestamp,Column,character-method.html 2025-05-27 06:47 328
unix_timestamp,Column,missing-method.html 2025-05-27 06:47 328
unix_timestamp,missing,missing-method.html 2025-05-27 06:47 328
unix_timestamp.html 2025-05-27 06:47 328
weekofyear,Column-method.html 2025-05-27 06:47 328
weekofyear.html 2025-05-27 06:47 328
window,Column-method.html 2025-05-27 06:47 328
window.html 2025-05-27 06:47 328
year,Column-method.html 2025-05-27 06:47 328
year.html 2025-05-27 06:47 328
approxCountDistinct,Column-method.html 2025-05-27 06:47 330
approxCountDistinct.html 2025-05-27 06:47 330
approx_count_distinct,Column-method.html 2025-05-27 06:47 330
approx_count_distinct.html 2025-05-27 06:47 330
collect_list,Column-method.html 2025-05-27 06:47 330
collect_list.html 2025-05-27 06:47 330
collect_set,Column-method.html 2025-05-27 06:47 330
collect_set.html 2025-05-27 06:47 330
countDistinct,Column-method.html 2025-05-27 06:47 330
countDistinct.html 2025-05-27 06:47 330
count_distinct,Column-method.html 2025-05-27 06:47 330
count_distinct.html 2025-05-27 06:47 330
grouping_bit,Column-method.html 2025-05-27 06:47 330
grouping_bit.html 2025-05-27 06:47 330
grouping_id,Column-method.html 2025-05-27 06:47 330
grouping_id.html 2025-05-27 06:47 330
kurtosis,Column-method.html 2025-05-27 06:47 330
kurtosis.html 2025-05-27 06:47 330
max,Column-method.html 2025-05-27 06:47 330
max.html 2025-05-27 06:47 330
max_by,Column,Column-method.html 2025-05-27 06:47 330
max_by,Column-method.html 2025-05-27 06:47 330
max_by.html 2025-05-27 06:47 330
mean,Column-method.html 2025-05-27 06:47 330
mean.html 2025-05-27 06:47 330
min,Column-method.html 2025-05-27 06:47 330
min.html 2025-05-27 06:47 330
min_by,Column,Column-method.html 2025-05-27 06:47 330
min_by,Column-method.html 2025-05-27 06:47 330
min_by.html 2025-05-27 06:47 330
n_distinct,Column-method.html 2025-05-27 06:47 330
n_distinct.html 2025-05-27 06:47 330
percentile_approx,Column-method.html 2025-05-27 06:47 330
percentile_approx,characterOrColumn,numericOrColumn-method.html 2025-05-27 06:47 330
percentile_approx.html 2025-05-27 06:47 330
product,Column-method.html 2025-05-27 06:47 330
product.html 2025-05-27 06:47 330
sd,Column-method.html 2025-05-27 06:47 330
sd.html 2025-05-27 06:47 330
skewness,Column-method.html 2025-05-27 06:47 330
skewness.html 2025-05-27 06:47 330
std,Column-method.html 2025-05-27 06:47 330
std.html 2025-05-27 06:47 330
stddev,Column-method.html 2025-05-27 06:47 330
stddev.html 2025-05-27 06:47 330
stddev_pop,Column-method.html 2025-05-27 06:47 330
stddev_pop.html 2025-05-27 06:47 330
stddev_samp,Column-method.html 2025-05-27 06:47 330
stddev_samp.html 2025-05-27 06:47 330
sum,Column-method.html 2025-05-27 06:47 330
sum.html 2025-05-27 06:47 330
sumDistinct,Column-method.html 2025-05-27 06:47 330
sumDistinct.html 2025-05-27 06:47 330
sum_distinct,Column-method.html 2025-05-27 06:47 330
sum_distinct.html 2025-05-27 06:47 330
var,Column-method.html 2025-05-27 06:47 330
var.html 2025-05-27 06:47 330
var_pop,Column-method.html 2025-05-27 06:47 330
var_pop.html 2025-05-27 06:47 330
var_samp,Column-method.html 2025-05-27 06:47 330
var_samp.html 2025-05-27 06:47 330
variance,Column-method.html 2025-05-27 06:47 330
variance.html 2025-05-27 06:47 330
array_aggregate,characterOrColumn,Column,function-method.html 2025-05-27 06:47 332
array_aggregate.html 2025-05-27 06:47 332
array_contains,Column-method.html 2025-05-27 06:47 332
array_contains.html 2025-05-27 06:47 332
array_distinct,Column-method.html 2025-05-27 06:47 332
array_distinct.html 2025-05-27 06:47 332
array_except,Column,Column-method.html 2025-05-27 06:47 332
array_except,Column-method.html 2025-05-27 06:47 332
array_except.html 2025-05-27 06:47 332
array_exists,characterOrColumn,function-method.html 2025-05-27 06:47 332
array_exists.html 2025-05-27 06:47 332
array_filter,characterOrColumn,function-method.html 2025-05-27 06:47 332
array_filter.html 2025-05-27 06:47 332
array_forall,characterOrColumn,function-method.html 2025-05-27 06:47 332
array_forall.html 2025-05-27 06:47 332
array_intersect,Column,Column-method.html 2025-05-27 06:47 332
array_intersect,Column-method.html 2025-05-27 06:47 332
array_intersect.html 2025-05-27 06:47 332
array_join,Column,character-method.html 2025-05-27 06:47 332
array_join,Column-method.html 2025-05-27 06:47 332
array_join.html 2025-05-27 06:47 332
array_max,Column-method.html 2025-05-27 06:47 332
array_max.html 2025-05-27 06:47 332
array_min,Column-method.html 2025-05-27 06:47 332
array_min.html 2025-05-27 06:47 332
array_position,Column-method.html 2025-05-27 06:47 332
array_position.html 2025-05-27 06:47 332
array_remove,Column-method.html 2025-05-27 06:47 332
array_remove.html 2025-05-27 06:47 332
array_repeat,Column,numericOrColumn-method.html 2025-05-27 06:47 332
array_repeat.html 2025-05-27 06:47 332
array_sort,Column-method.html 2025-05-27 06:47 332
array_sort.html 2025-05-27 06:47 332
array_transform,characterOrColumn,characterOrColumn,function-method.html 2025-05-27 06:47 332
array_transform,characterOrColumn,function-method.html 2025-05-27 06:47 332
array_transform.html 2025-05-27 06:47 332
array_union,Column,Column-method.html 2025-05-27 06:47 332
array_union,Column-method.html 2025-05-27 06:47 332
array_union.html 2025-05-27 06:47 332
arrays_overlap,Column,Column-method.html 2025-05-27 06:47 332
arrays_overlap,Column-method.html 2025-05-27 06:47 332
arrays_overlap.html 2025-05-27 06:47 332
arrays_zip,Column-method.html 2025-05-27 06:47 332
arrays_zip.html 2025-05-27 06:47 332
arrays_zip_with,characterOrColumn,characterOrColumn,function-method.html 2025-05-27 06:47 332
arrays_zip_with.html 2025-05-27 06:47 332
concat,Column-method.html 2025-05-27 06:47 332
concat.html 2025-05-27 06:47 332
element_at,Column-method.html 2025-05-27 06:47 332
element_at.html 2025-05-27 06:47 332
explode,Column-method.html 2025-05-27 06:47 332
explode.html 2025-05-27 06:47 332
explode_outer,Column-method.html 2025-05-27 06:47 332
explode_outer.html 2025-05-27 06:47 332
flatten,Column-method.html 2025-05-27 06:47 332
flatten.html 2025-05-27 06:47 332
from_csv,Column,characterOrstructTypeOrColumn-method.html 2025-05-27 06:47 332
from_csv.html 2025-05-27 06:47 332
from_json,Column,characterOrstructTypeOrColumn-method.html 2025-05-27 06:47 332
from_json.html 2025-05-27 06:47 332
map_concat,Column-method.html 2025-05-27 06:47 332
map_concat.html 2025-05-27 06:47 332
map_entries,Column-method.html 2025-05-27 06:47 332
map_entries.html 2025-05-27 06:47 332
map_filter,characterOrColumn,function-method.html 2025-05-27 06:47 332
map_filter.html 2025-05-27 06:47 332
map_from_arrays,Column,Column-method.html 2025-05-27 06:47 332
map_from_arrays,Column-method.html 2025-05-27 06:47 332
map_from_arrays.html 2025-05-27 06:47 332
map_from_entries,Column-method.html 2025-05-27 06:47 332
map_from_entries.html 2025-05-27 06:47 332
map_keys,Column-method.html 2025-05-27 06:47 332
map_keys.html 2025-05-27 06:47 332
map_values,Column-method.html 2025-05-27 06:47 332
map_values.html 2025-05-27 06:47 332
map_zip_with,characterOrColumn,characterOrColumn,function-method.html 2025-05-27 06:47 332
map_zip_with.html 2025-05-27 06:47 332
posexplode,Column-method.html 2025-05-27 06:47 332
posexplode.html 2025-05-27 06:47 332
posexplode_outer,Column-method.html 2025-05-27 06:47 332
posexplode_outer.html 2025-05-27 06:47 332
reverse,Column-method.html 2025-05-27 06:47 332
reverse.html 2025-05-27 06:47 332
schema_of_csv,characterOrColumn-method.html 2025-05-27 06:47 332
schema_of_csv.html 2025-05-27 06:47 332
schema_of_json,characterOrColumn-method.html 2025-05-27 06:47 332
schema_of_json.html 2025-05-27 06:47 332
shuffle,Column-method.html 2025-05-27 06:47 332
shuffle.html 2025-05-27 06:47 332
size,Column-method.html 2025-05-27 06:47 332
size.html 2025-05-27 06:47 332
slice,Column-method.html 2025-05-27 06:47 332
slice.html 2025-05-27 06:47 332
sort_array,Column-method.html 2025-05-27 06:47 332
sort_array.html 2025-05-27 06:47 332
to_csv,Column-method.html 2025-05-27 06:47 332
to_csv.html 2025-05-27 06:47 332
to_json,Column-method.html 2025-05-27 06:47 332
to_json.html 2025-05-27 06:47 332
transform_keys,characterOrColumn,function-method.html 2025-05-27 06:47 332
transform_keys.html 2025-05-27 06:47 332
transform_values,characterOrColumn,function-method.html 2025-05-27 06:47 332
transform_values.html 2025-05-27 06:47 332
registerTempTable,SparkDataFrame,character-method.html 2025-05-27 06:47 334
bitwiseNOT,Column-method.html 2025-05-27 06:47 336
bitwiseNOT.html 2025-05-27 06:47 336
bitwise_not,Column-method.html 2025-05-27 06:47 336
bitwise_not.html 2025-05-27 06:47 336
coalesce,Column-method.html 2025-05-27 06:47 336
create_array,Column-method.html 2025-05-27 06:47 336
create_array.html 2025-05-27 06:47 336
create_map,Column-method.html 2025-05-27 06:47 336
create_map.html 2025-05-27 06:47 336
expr,character-method.html 2025-05-27 06:47 336
expr.html 2025-05-27 06:47 336
greatest,Column-method.html 2025-05-27 06:47 336
greatest.html 2025-05-27 06:47 336
ifelse,Column-method.html 2025-05-27 06:47 336
ifelse.html 2025-05-27 06:47 336
input_file_name,missing-method.html 2025-05-27 06:47 336
input_file_name.html 2025-05-27 06:47 336
is.nan,Column-method.html 2025-05-27 06:47 336
is.nan.html 2025-05-27 06:47 336
isnan,Column-method.html 2025-05-27 06:47 336
isnan.html 2025-05-27 06:47 336
least,Column-method.html 2025-05-27 06:47 336
least.html 2025-05-27 06:47 336
lit,ANY-method.html 2025-05-27 06:47 336
lit.html 2025-05-27 06:47 336
monotonically_increasing_id,missing-method.html 2025-05-27 06:47 336
monotonically_increasing_id.html 2025-05-27 06:47 336
nanvl,Column-method.html 2025-05-27 06:47 336
nanvl.html 2025-05-27 06:47 336
negate,Column-method.html 2025-05-27 06:47 336
negate.html 2025-05-27 06:47 336
negative,Column-method.html 2025-05-27 06:47 336
negative.html 2025-05-27 06:47 336
positive,Column-method.html 2025-05-27 06:47 336
positive.html 2025-05-27 06:47 336
rand,missing-method.html 2025-05-27 06:47 336
rand,numeric-method.html 2025-05-27 06:47 336
rand.html 2025-05-27 06:47 336
randn,missing-method.html 2025-05-27 06:47 336
randn,numeric-method.html 2025-05-27 06:47 336
randn.html 2025-05-27 06:47 336
spark_partition_id,missing-method.html 2025-05-27 06:47 336
spark_partition_id.html 2025-05-27 06:47 336
struct,characterOrColumn-method.html 2025-05-27 06:47 336
struct.html 2025-05-27 06:47 336
when,Column-method.html 2025-05-27 06:47 336
when.html 2025-05-27 06:47 336
add_months,Column,numeric-method.html 2025-05-27 06:47 338
add_months.html 2025-05-27 06:47 338
date_add,Column,numeric-method.html 2025-05-27 06:47 338
date_add.html 2025-05-27 06:47 338
date_format,Column,character-method.html 2025-05-27 06:47 338
date_format.html 2025-05-27 06:47 338
date_sub,Column,numeric-method.html 2025-05-27 06:47 338
date_sub.html 2025-05-27 06:47 338
datediff,Column-method.html 2025-05-27 06:47 338
datediff.html 2025-05-27 06:47 338
from_utc_timestamp,Column,character-method.html 2025-05-27 06:47 338
from_utc_timestamp.html 2025-05-27 06:47 338
months_between,Column-method.html 2025-05-27 06:47 338
months_between.html 2025-05-27 06:47 338
next_day,Column,character-method.html 2025-05-27 06:47 338
next_day.html 2025-05-27 06:47 338
spark.assignClusters,SparkDataFrame-method.html 2025-05-27 06:47 338
to_utc_timestamp,Column,character-method.html 2025-05-27 06:47 338
to_utc_timestamp.html 2025-05-27 06:47 338
KSTest-class.html 2025-05-27 06:47 8.9K S4 class that represents an KSTest — KSTest-class • SparkR
ALSModel-class.html 2025-05-27 06:47 8.9K S4 class that represents an ALSModel — ALSModel-class • SparkR
LDAModel-class.html 2025-05-27 06:47 8.9K S4 class that represents an LDAModel — LDAModel-class • SparkR
PrefixSpan-class.html 2025-05-27 06:47 9.0K S4 class that represents a PrefixSpan — PrefixSpan-class • SparkR
KMeansModel-class.html 2025-05-27 06:47 9.0K S4 class that represents a KMeansModel — KMeansModel-class • SparkR
FPGrowthModel-class.html 2025-05-27 06:47 9.0K S4 class that represents a FPGrowthModel — FPGrowthModel-class • SparkR
LinearSVCModel-class.html 2025-05-27 06:47 9.0K S4 class that represents an LinearSVCModel — LinearSVCModel-class • SparkR
NaiveBayesModel-class.html 2025-05-27 06:47 9.0K S4 class that represents a NaiveBayesModel — NaiveBayesModel-class • SparkR
FMRegressionModel-class.html 2025-05-27 06:47 9.0K S4 class that represents a FMRegressionModel — FMRegressionModel-class • SparkR
GBTRegressionModel-class.html 2025-05-27 06:47 9.0K S4 class that represents a GBTRegressionModel — GBTRegressionModel-class • SparkR
BisectingKMeansModel-class.html 2025-05-27 06:47 9.1K S4 class that represents a BisectingKMeansModel — BisectingKMeansModel-class • SparkR
GaussianMixtureModel-class.html 2025-05-27 06:47 9.1K S4 class that represents a GaussianMixtureModel — GaussianMixtureModel-class • SparkR
FMClassificationModel-class.html 2025-05-27 06:47 9.1K S4 class that represents a FMClassificationModel — FMClassificationModel-class • SparkR
LinearRegressionModel-class.html 2025-05-27 06:47 9.1K S4 class that represents a LinearRegressionModel — LinearRegressionModel-class • SparkR
GBTClassificationModel-class.html 2025-05-27 06:47 9.1K S4 class that represents a GBTClassificationModel — GBTClassificationModel-class • SparkR
IsotonicRegressionModel-class.html 2025-05-27 06:47 9.1K S4 class that represents an IsotonicRegressionModel — IsotonicRegressionModel-class • SparkR
LogisticRegressionModel-class.html 2025-05-27 06:47 9.1K S4 class that represents an LogisticRegressionModel — LogisticRegressionModel-class • SparkR
PowerIterationClustering-class.html 2025-05-27 06:47 9.1K S4 class that represents a PowerIterationClustering — PowerIterationClustering-class • SparkR
AFTSurvivalRegressionModel-class.html 2025-05-27 06:47 9.1K S4 class that represents a AFTSurvivalRegressionModel — AFTSurvivalRegressionModel-class • SparkR
DecisionTreeRegressionModel-class.html 2025-05-27 06:47 9.1K S4 class that represents a DecisionTreeRegressionModel — DecisionTreeRegressionModel-class • SparkR
RandomForestRegressionModel-class.html 2025-05-27 06:47 9.1K S4 class that represents a RandomForestRegressionModel — RandomForestRegressionModel-class • SparkR
GeneralizedLinearRegressionModel-class.html 2025-05-27 06:47 9.2K S4 class that represents a generalized linear model — GeneralizedLinearRegressionModel-class • SparkR
DecisionTreeClassificationModel-class.html 2025-05-27 06:47 9.2K S4 class that represents a DecisionTreeClassificationModel — DecisionTreeClassificationModel-class • SparkR
RandomForestClassificationModel-class.html 2025-05-27 06:47 9.2K S4 class that represents a RandomForestClassificationModel — RandomForestClassificationModel-class • SparkR
MultilayerPerceptronClassificationModel-class.html 2025-05-27 06:47 9.3K S4 class that represents a MultilayerPerceptronClassificationModel — MultilayerPerceptronClassificationModel-class • SparkR
StreamingQuery.html 2025-05-27 06:47 9.3K S4 class that represents a StreamingQuery — StreamingQuery-class • SparkR
WindowSpec.html 2025-05-27 06:47 9.3K S4 class that represents a WindowSpec — WindowSpec-class • SparkR
sparkR.session.stop.html 2025-05-27 06:47 9.4K Stop the Spark Session and Spark Context — sparkR.session.stop • SparkR
clearCache.html 2025-05-27 06:47 9.5K Clear Cache — clearCache • SparkR
GroupedData.html 2025-05-27 06:47 9.6K S4 class that represents a GroupedData — GroupedData-class • SparkR
print.jobj.html 2025-05-27 06:47 9.6K Print a JVM object reference. — print.jobj • SparkR
print.structType.html 2025-05-27 06:47 9.7K Print a Spark StructType. — print.structType • SparkR
print.structField.html 2025-05-27 06:47 9.7K Print a Spark StructField. — print.structField • SparkR
clearJobTags.html 2025-05-27 06:47 9.7K Clear the current thread's job tags. — clearJobTags • SparkR
clearJobGroup.html 2025-05-27 06:47 9.8K Clear current job group ID and its description — clearJobGroup • SparkR
create_lambda.html 2025-05-27 06:47 9.9K Create o.a.s.sql.expressions.LambdaFunction corresponding to transformation described by func. Used by higher order functions. — create_lambda • SparkR
listCatalogs.html 2025-05-27 06:47 9.9K Returns a list of catalog available — listCatalogs • SparkR
currentCatalog.html 2025-05-27 06:47 9.9K Returns the current default catalog — currentCatalog • SparkR
currentDatabase.html 2025-05-27 06:47 9.9K Returns the current default database — currentDatabase • SparkR
listDatabases.html 2025-05-27 06:47 9.9K Returns a list of databases available — listDatabases • SparkR
read.orc.html 2025-05-27 06:47 9.9K Create a SparkDataFrame from an ORC file. — read.orc • SparkR
setLogLevel.html 2025-05-27 06:47 10K Set new log level — setLogLevel • SparkR
read.parquet.html 2025-05-27 06:47 10K Create a SparkDataFrame from a Parquet file. — read.parquet • SparkR
invoke_higher_order_function.html 2025-05-27 06:47 10K Invokes higher order function expression identified by name, (relative to o.a.s.sql.catalyst.expressions) — invoke_higher_order_function • SparkR
setCurrentCatalog.html 2025-05-27 06:47 10K Sets the current default catalog — setCurrentCatalog • SparkR
setJobDescription.html 2025-05-27 06:47 10K Set a human readable description of the current job. — setJobDescription • SparkR
setCurrentDatabase.html 2025-05-27 06:47 10K Sets the current default database — setCurrentDatabase • SparkR
getJobTags.html 2025-05-27 06:47 10K Get the tags that are currently set to be assigned to all the jobs started by this thread. — getJobTags • SparkR
spark.getSparkFilesRootDirectory.html 2025-05-27 06:47 10K Get the root directory that contains files added through spark.addFile. — spark.getSparkFilesRootDirectory • SparkR
sparkR.version.html 2025-05-27 06:47 10K Get version of Spark on which this application is running — sparkR.version • SparkR
unresolved_named_lambda_var.html 2025-05-27 06:47 10K Create o.a.s.sql.expressions.UnresolvedNamedLambdaVariable, convert it to o.s.sql.Column and wrap with R Column. Used by higher order functions. — unresolved_named_lambda_var • SparkR
between.html 2025-05-27 06:47 10K between — between • SparkR
cancelJobGroup.html 2025-05-27 06:47 10K Cancel active jobs for the specified group — cancelJobGroup • SparkR
cancelJobsWithTag.html 2025-05-27 06:47 10K Cancel active jobs that have the specified tag. — cancelJobsWithTag • SparkR
sparkR.uiWebUrl.html 2025-05-27 06:47 10K Get the URL of the SparkUI instance for the current active SparkSession — sparkR.uiWebUrl • SparkR
addJobTAg.html 2025-05-27 06:47 10K Add a tag to be assigned to all the jobs started by this thread. — addJobTag • SparkR
tableExists.html 2025-05-27 06:47 10K Checks if the table with the specified name exists. — tableExists • SparkR
databaseExists.html 2025-05-27 06:47 10K Checks if the database with the specified name exists. — databaseExists • SparkR
functionExists.html 2025-05-27 06:47 10K Checks if the function with the specified name exists. — functionExists • SparkR
getLocalProperty.html 2025-05-27 06:47 10K Get a local property set in this thread, or NULL if it is missing. See setLocalProperty. — getLocalProperty • SparkR
spark.getSparkFiles.html 2025-05-27 06:47 10K Get the absolute path of a file added through spark.addFile. — spark.getSparkFiles • SparkR
predict.html 2025-05-27 06:47 10K Makes predictions from a MLlib model — predict • SparkR
endsWith.html 2025-05-27 06:47 10K endsWith — endsWith • SparkR
getDatabase.html 2025-05-27 06:47 10K Get the database with the specified name — getDatabase • SparkR
tableNames.html 2025-05-27 06:47 10K Table Names — tableNames • SparkR
getTable.html 2025-05-27 06:47 10K Get the table with the specified name — getTable • SparkR
startsWith.html 2025-05-27 06:47 10K startsWith — startsWith • SparkR
setCheckpointDir.html 2025-05-27 06:47 10K Set checkpoint directory — setCheckpointDir • SparkR
status.html 2025-05-27 06:47 10K status — status • SparkR
otherwise.html 2025-05-27 06:47 10K otherwise — otherwise • SparkR
getFunc.html 2025-05-27 06:47 10K Get the function with the specified name — getFunc • SparkR
read.ml.html 2025-05-27 06:47 11K Load a fitted MLlib model from the input path. — read.ml • SparkR
lastProgress.html 2025-05-27 06:47 11K lastProgress — lastProgress • SparkR
tables.html 2025-05-27 06:47 11K Tables — tables • SparkR
write.ml.html 2025-05-27 06:47 11K Saves the MLlib model to the input path — write.ml • SparkR
stopQuery.html 2025-05-27 06:47 11K stopQuery — stopQuery • SparkR
isActive.html 2025-05-27 06:47 11K isActive — isActive • SparkR
removeJobTAg.html 2025-05-27 06:47 11K Remove a tag previously added to be assigned to all the jobs started by this thread. Noop if such a tag was not added earlier. — removeJobTag • SparkR
setInterruptOnCancel.html 2025-05-27 06:47 11K Set the behavior of job cancellation from jobs started in this thread. — setInterruptOnCancel • SparkR
avg.html 2025-05-27 06:47 11K avg — avg • SparkR
listFunctions.html 2025-05-27 06:47 11K Returns a list of functions registered in the specified database — listFunctions • SparkR
recoverPartitions.html 2025-05-27 06:47 11K Recovers all the partitions in the directory of a table and update the catalog — recoverPartitions • SparkR
match.html 2025-05-27 06:47 11K Match a column with given values. — %in% • SparkR
refreshByPath.html 2025-05-27 06:47 11K Invalidates and refreshes all the cached data and metadata for SparkDataFrame containing path — refreshByPath • SparkR
hashCode.html 2025-05-27 06:47 11K Compute the hashCode of an object — hashCode • SparkR
sparkRHive.init-deprecated.html 2025-05-27 06:47 11K (Deprecated) Initialize a new HiveContext — sparkRHive.init • SparkR
sql.html 2025-05-27 06:47 11K SQL Query — sql • SparkR
listTables.html 2025-05-27 06:47 11K Returns a list of tables or views in the specified database — listTables • SparkR
cacheTable.html 2025-05-27 06:47 11K Cache Table — cacheTable • SparkR
column.html 2025-05-27 06:47 11K S4 class that represents a SparkDataFrame column — column • SparkR
uncacheTable.html 2025-05-27 06:47 11K Uncache Table — uncacheTable • SparkR
sparkRSQL.init-deprecated.html 2025-05-27 06:47 11K (Deprecated) Initialize a new SQLContext — sparkRSQL.init • SparkR
listColumns.html 2025-05-27 06:47 11K Returns a list of columns for the given table/view in the specified database — listColumns • SparkR
queryName.html 2025-05-27 06:47 11K queryName — queryName • SparkR
setLocalProperty.html 2025-05-27 06:47 11K Set a local property that affects jobs submitted from this thread, such as the Spark fair scheduler pool. To remove/unset property simply set `value` to NULL e.g. setLocalProperty("key", NULL) — setLocalProperty • SparkR
setJobGroup.html 2025-05-27 06:47 11K Assigns a group ID to all the jobs started by this thread until the group ID is set to a different value or cleared. — setJobGroup • SparkR
cast.html 2025-05-27 06:47 11K Casts the column to a different data type. — cast • SparkR
dropTempTable-deprecated.html 2025-05-27 06:47 11K (Deprecated) Drop Temporary Table — dropTempTable • SparkR
dropTempView.html 2025-05-27 06:47 11K Drops the temporary view with the given view name in the catalog. — dropTempView • SparkR
columnfunctions.html 2025-05-27 06:47 11K A set of operations working with SparkDataFrame columns — asc • SparkR
partitionBy.html 2025-05-27 06:47 11K partitionBy — partitionBy • SparkR
spark.addFile.html 2025-05-27 06:47 11K Add a file or directory to be downloaded with this Spark job on every node. — spark.addFile • SparkR
awaitTermination.html 2025-05-27 06:47 11K awaitTermination — awaitTermination • SparkR
tableToDF.html 2025-05-27 06:47 12K Create a SparkDataFrame from a SparkSQL table or view — tableToDF • SparkR
refreshTable.html 2025-05-27 06:47 12K Invalidates and refreshes all the cached data and metadata of the given table — refreshTable • SparkR
registerTempTable-deprecated.html 2025-05-27 06:47 12K (Deprecated) Register Temporary Table — registerTempTable • SparkR
read.text.html 2025-05-27 06:47 12K Create a SparkDataFrame from a text file. — read.text • SparkR
sparkR.conf.html 2025-05-27 06:47 12K Get Runtime Config from the current active SparkSession — sparkR.conf • SparkR
last.html 2025-05-27 06:47 12K last — last • SparkR
fitted.html 2025-05-27 06:47 12K Get fitted result from a k-means model — fitted • SparkR
orderBy.html 2025-05-27 06:47 12K Ordering Columns in a WindowSpec — orderBy • SparkR
read.json.html 2025-05-27 06:47 12K Create a SparkDataFrame from a JSON file. — read.json • SparkR
sampleBy.html 2025-05-27 06:47 12K Returns a stratified sample without replacement — sampleBy • SparkR
withField.html 2025-05-27 06:47 12K withField — withField • SparkR
createExternalTable-deprecated.html 2025-05-27 06:47 12K (Deprecated) Create an external table — createExternalTable • SparkR
substr.html 2025-05-27 06:47 12K substr — substr • SparkR
windowOrderBy.html 2025-05-27 06:47 12K windowOrderBy — windowOrderBy • SparkR
freqItems.html 2025-05-27 06:47 12K Finding frequent items for columns, possibly with false positives — freqItems • SparkR
crosstab.html 2025-05-27 06:47 12K Computes a pair-wise frequency table of the given columns — crosstab • SparkR
createDataFrame.html 2025-05-27 06:47 12K Create a SparkDataFrame — createDataFrame • SparkR
sparkR.callJStatic.html 2025-05-27 06:47 12K Call Static Java Methods — sparkR.callJStatic • SparkR
windowPartitionBy.html 2025-05-27 06:47 13K windowPartitionBy — windowPartitionBy • SparkR
sparkR.newJObject.html 2025-05-27 06:47 13K Create Java Objects — sparkR.newJObject • SparkR
count.html 2025-05-27 06:47 13K Count — count • SparkR
column_ml_functions.html 2025-05-27 06:47 13K ML functions for Column operations — column_ml_functions • SparkR
createTable.html 2025-05-27 06:47 13K Creates a table based on the dataset in a data source — createTable • SparkR
sparkR.callJMethod.html 2025-05-27 06:47 13K Call Java Methods — sparkR.callJMethod • SparkR
over.html 2025-05-27 06:47 13K over — over • SparkR
read.stream.html 2025-05-27 06:47 13K Load a streaming SparkDataFrame — read.stream • SparkR
structField.html 2025-05-27 06:47 13K structField — structField • SparkR
spark.lapply.html 2025-05-27 06:47 13K Run a function over a list of elements, distributing the computations with Spark — spark.lapply • SparkR
eq_null_safe.html 2025-05-27 06:47 14K %<=>% — %<=>% • SparkR
install.spark.html 2025-05-27 06:47 14K Download and Install Apache Spark to a Local Directory — install.spark • SparkR
corr.html 2025-05-27 06:47 14K corr — corr • SparkR
read.df.html 2025-05-27 06:47 14K Load a SparkDataFrame — read.df • SparkR
sparkR.init-deprecated.html 2025-05-27 06:47 14K (Deprecated) Initialize a new Spark Context — sparkR.init • SparkR
not.html 2025-05-27 06:47 14K ! — not • SparkR
structType.html 2025-05-27 06:47 15K structType — structType • SparkR
approxQuantile.html 2025-05-27 06:47 15K Calculates the approximate quantiles of numerical columns of a SparkDataFrame — approxQuantile • SparkR
getNumPartitions.html 2025-05-27 06:47 15K getNumPartitions — getNumPartitions • SparkR
read.jdbc.html 2025-05-27 06:47 15K Create a SparkDataFrame representing the database table accessible via JDBC URL — read.jdbc • SparkR
rowsBetween.html 2025-05-27 06:47 15K rowsBetween — rowsBetween • SparkR
spark.powerIterationClustering.html 2025-05-27 06:47 15K PowerIterationClustering — spark.assignClusters • SparkR
ncol.html 2025-05-27 06:47 15K Returns the number of columns in a SparkDataFrame — ncol • SparkR
cache.html 2025-05-27 06:47 15K Cache — cache • SparkR
SparkDataFrame.html 2025-05-27 06:47 15K S4 class that represents a SparkDataFrame — SparkDataFrame-class • SparkR
dim.html 2025-05-27 06:47 15K Returns the dimensions of SparkDataFrame — dim • SparkR
dtypes.html 2025-05-27 06:47 15K DataTypes — dtypes • SparkR
column_avro_functions.html 2025-05-27 06:47 15K Avro processing functions for Column operations — column_avro_functions • SparkR
printSchema.html 2025-05-27 06:47 15K Print Schema of a SparkDataFrame — printSchema • SparkR
glm.html 2025-05-27 06:47 15K Generalized Linear Models (R-compliant) — glm,formula,ANY,SparkDataFrame-method • SparkR
storageLevel.html 2025-05-27 06:47 15K StorageLevel — storageLevel • SparkR
schema.html 2025-05-27 06:47 15K Get schema object — schema • SparkR
str.html 2025-05-27 06:47 15K Compactly display the structure of a dataset — str • SparkR
rangeBetween.html 2025-05-27 06:47 15K rangeBetween — rangeBetween • SparkR
isLocal.html 2025-05-27 06:47 15K isLocal — isLocal • SparkR
nrow.html 2025-05-27 06:47 15K Returns the number of rows in a SparkDataFrame — nrow • SparkR
distinct.html 2025-05-27 06:47 16K Distinct — distinct • SparkR
crossJoin.html 2025-05-27 06:47 16K CrossJoin — crossJoin • SparkR
head.html 2025-05-27 06:47 16K Head — head • SparkR
limit.html 2025-05-27 06:47 16K Limit — limit • SparkR
take.html 2025-05-27 06:47 16K Take the first NUM rows of a SparkDataFrame and return the results as a R data.frame — take • SparkR
toJSON.html 2025-05-27 06:47 16K toJSON — toJSON • SparkR
selectExpr.html 2025-05-27 06:47 16K SelectExpr — selectExpr • SparkR
unionAll.html 2025-05-27 06:47 16K Return a new SparkDataFrame containing the union of rows. — unionAll • SparkR
unpersist.html 2025-05-27 06:47 16K Unpersist — unpersist • SparkR
isStreaming.html 2025-05-27 06:47 16K isStreaming — isStreaming • SparkR
localCheckpoint.html 2025-05-27 06:47 16K localCheckpoint — localCheckpoint • SparkR
except.html 2025-05-27 06:47 16K except — except • SparkR
intersect.html 2025-05-27 06:47 16K Intersect — intersect • SparkR
persist.html 2025-05-27 06:47 16K Persist — persist • SparkR
checkpoint.html 2025-05-27 06:47 16K checkpoint — checkpoint • SparkR
createOrReplaceTempView.html 2025-05-27 06:47 16K Creates a temporary view using the given name. — createOrReplaceTempView • SparkR
with.html 2025-05-27 06:47 16K Evaluate a R expression in an environment constructed from a SparkDataFrame — with • SparkR
showDF.html 2025-05-27 06:47 16K showDF — showDF • SparkR
cov.html 2025-05-27 06:47 16K cov — cov • SparkR
pivot.html 2025-05-27 06:47 16K Pivot a column of the GroupedData and perform the specified aggregation. — pivot • SparkR
sparkR.session.html 2025-05-27 06:47 16K Get the existing SparkSession or initialize a new SparkSession. — sparkR.session • SparkR
rbind.html 2025-05-27 06:47 16K Union two or more SparkDataFrames — rbind • SparkR
broadcast.html 2025-05-27 06:47 16K broadcast — broadcast • SparkR
exceptAll.html 2025-05-27 06:47 16K exceptAll — exceptAll • SparkR
dropDuplicates.html 2025-05-27 06:47 16K dropDuplicates — dropDuplicates • SparkR
intersectAll.html 2025-05-27 06:47 16K intersectAll — intersectAll • SparkR
hint.html 2025-05-27 06:47 16K hint — hint • SparkR
insertInto.html 2025-05-27 06:47 16K insertInto — insertInto • SparkR
randomSplit.html 2025-05-27 06:47 17K randomSplit — randomSplit • SparkR
show.html 2025-05-27 06:47 17K show — show • SparkR
spark.prefixSpan.html 2025-05-27 06:47 17K PrefixSpan — spark.findFrequentSequentialPatterns • SparkR
groupBy.html 2025-05-27 06:47 17K GroupBy — group_by • SparkR
collect.html 2025-05-27 06:47 17K Collects all the elements of a SparkDataFrame and coerces them into an R data.frame. — collect • SparkR
filter.html 2025-05-27 06:47 17K Filter — filter • SparkR
explain.html 2025-05-27 06:47 17K Explain — explain • SparkR
dropFields.html 2025-05-27 06:47 17K dropFields — dropFields • SparkR
as.data.frame.html 2025-05-27 06:47 17K Download data from a SparkDataFrame into a R data.frame — as.data.frame • SparkR
spark.kstest.html 2025-05-27 06:47 17K (One-Sample) Kolmogorov-Smirnov Test — spark.kstest • SparkR
write.orc.html 2025-05-27 06:47 17K Save the contents of SparkDataFrame as an ORC file, preserving the schema. — write.orc • SparkR
describe.html 2025-05-27 06:47 17K describe — describe • SparkR
write.parquet.html 2025-05-27 06:47 17K Save the contents of SparkDataFrame as a Parquet file, preserving the schema. — write.parquet • SparkR
write.json.html 2025-05-27 06:47 17K Save the contents of SparkDataFrame as a JSON file — write.json • SparkR
attach.html 2025-05-27 06:47 17K Attach SparkDataFrame to R search path — attach,SparkDataFrame-method • SparkR
cube.html 2025-05-27 06:47 17K cube — cube • SparkR
rollup.html 2025-05-27 06:47 17K rollup — rollup • SparkR
write.text.html 2025-05-27 06:47 17K Save the content of SparkDataFrame in a text file at the specified path. — write.text • SparkR
union.html 2025-05-27 06:47 17K Return a new SparkDataFrame containing the union of rows — union • SparkR
coalesce.html 2025-05-27 06:47 17K Coalesce — coalesce • SparkR
columns.html 2025-05-27 06:47 17K Column Names of SparkDataFrame — colnames • SparkR
join.html 2025-05-27 06:47 17K Join — join • SparkR
drop.html 2025-05-27 06:47 17K drop — drop • SparkR
spark.naiveBayes.html 2025-05-27 06:47 17K Naive Bayes Models — spark.naiveBayes • SparkR
saveAsTable.html 2025-05-27 06:47 17K Save the contents of the SparkDataFrame to a data source as a table — saveAsTable • SparkR
first.html 2025-05-27 06:47 18K Return the first row of a SparkDataFrame — first • SparkR
summarize.html 2025-05-27 06:47 18K summarize — agg • SparkR
coltypes.html 2025-05-27 06:47 18K coltypes — coltypes • SparkR
rename.html 2025-05-27 06:47 18K rename — rename • SparkR
sample.html 2025-05-27 06:47 18K Sample — sample • SparkR
spark.survreg.html 2025-05-27 06:47 18K Accelerated Failure Time (AFT) Survival Regression Model — spark.survreg • SparkR
summary.html 2025-05-27 06:47 18K summary — summary • SparkR
histogram.html 2025-05-27 06:47 18K Compute histogram statistics for given column — histogram • SparkR
withWatermark.html 2025-05-27 06:47 18K withWatermark — withWatermark • SparkR
write.jdbc.html 2025-05-27 06:47 18K Save the content of SparkDataFrame to an external database table via JDBC. — write.jdbc • SparkR
repartition.html 2025-05-27 06:47 18K Repartition — repartition • SparkR
repartitionByRange.html 2025-05-27 06:47 18K Repartition by range — repartitionByRange • SparkR
withColumn.html 2025-05-27 06:47 18K WithColumn — withColumn • SparkR
spark.kmeans.html 2025-05-27 06:47 19K K-Means Clustering Model — spark.kmeans • SparkR
unpivot.html 2025-05-27 06:47 19K Unpivot a DataFrame from wide format to long format. — unpivot • SparkR
select.html 2025-05-27 06:47 19K Select — select • SparkR
dapplyCollect.html 2025-05-27 06:47 19K dapplyCollect — dapplyCollect • SparkR
arrange.html 2025-05-27 06:47 19K Arrange Rows by Variables — arrange • SparkR
mutate.html 2025-05-27 06:47 19K Mutate — mutate • SparkR
alias.html 2025-05-27 06:47 19K alias — alias • SparkR
unionByName.html 2025-05-27 06:47 19K Return a new SparkDataFrame containing the union of rows, matched by column names — unionByName • SparkR
spark.gaussianMixture.html 2025-05-27 06:47 19K Multivariate Gaussian Mixture Model (GMM) — spark.gaussianMixture • SparkR
spark.svmLinear.html 2025-05-27 06:47 19K Linear SVM Model — spark.svmLinear • SparkR
column_misc_functions.html 2025-05-27 06:47 19K Miscellaneous functions for Column operations — column_misc_functions • SparkR
write.df.html 2025-05-27 06:47 19K Save the contents of SparkDataFrame to a data source. — write.df • SparkR
spark.fmRegressor.html 2025-05-27 06:47 20K Factorization Machines Regression Model — spark.fmRegressor • SparkR
spark.lm.html 2025-05-27 06:47 20K Linear Regression Model — spark.lm • SparkR
spark.bisectingKmeans.html 2025-05-27 06:47 20K Bisecting K-Means Clustering Model — spark.bisectingKmeans • SparkR
spark.fmClassifier.html 2025-05-27 06:47 20K Factorization Machines Classification Model — spark.fmClassifier • SparkR
spark.isoreg.html 2025-05-27 06:47 20K Isotonic Regression Model — spark.isoreg • SparkR
nafunctions.html 2025-05-27 06:47 21K A set of SparkDataFrame functions working with NA values — dropna • SparkR
spark.mlp.html 2025-05-27 06:47 21K Multilayer Perceptron Classification Model — spark.mlp • SparkR
spark.fpGrowth.html 2025-05-27 06:47 21K FP-growth — spark.fpGrowth • SparkR
write.stream.html 2025-05-27 06:47 22K Write the streaming SparkDataFrame to a data source. — write.stream • SparkR
merge.html 2025-05-27 06:47 22K Merges two data frames — merge • SparkR
subset.html 2025-05-27 06:47 22K Subset — subset • SparkR
dapply.html 2025-05-27 06:47 22K dapply — dapply • SparkR
spark.lda.html 2025-05-27 06:47 22K Latent Dirichlet Allocation — spark.lda • SparkR
column_window_functions.html 2025-05-27 06:47 22K Window functions for Column operations — column_window_functions • SparkR
spark.als.html 2025-05-27 06:47 23K Alternating Least Squares (ALS) for Collaborative Filtering — spark.als • SparkR
spark.decisionTree.html 2025-05-27 06:47 24K Decision Tree Model for Regression and Classification — spark.decisionTree • SparkR
spark.glm.html 2025-05-27 06:47 25K Generalized Linear Models — spark.glm • SparkR
spark.randomForest.html 2025-05-27 06:47 26K Random Forest Model for Regression and Classification — spark.randomForest • SparkR
gapplyCollect.html 2025-05-27 06:47 26K gapplyCollect — gapplyCollect • SparkR
column_datetime_diff_functions.html 2025-05-27 06:47 26K Date time arithmetic functions for Column operations — column_datetime_diff_functions • SparkR
spark.gbt.html 2025-05-27 06:47 26K Gradient Boosted Tree Model for Regression and Classification — spark.gbt • SparkR
spark.logit.html 2025-05-27 06:47 27K Logistic Regression Model — spark.logit • SparkR
gapply.html 2025-05-27 06:47 30K gapply — gapply • SparkR
column_nonaggregate_functions.html 2025-05-27 06:47 37K Non-aggregate functions for Column operations — column_nonaggregate_functions • SparkR
column_math_functions.html 2025-05-27 06:47 37K Math functions for Column operations — column_math_functions • SparkR
column_datetime_functions.html 2025-05-27 06:47 50K Date time functions for Column operations — timestamp_seconds • SparkR
column_aggregate_functions.html 2025-05-27 06:47 51K Aggregate functions for Column operations — column_aggregate_functions • SparkR
column_string_functions.html 2025-05-27 06:47 57K String functions for Column operations — column_string_functions • SparkR
index.html 2025-05-27 06:47 83K Package index • SparkR
column_collection_functions.html 2025-05-27 06:47 89K Collection functions for Column operations — column_collection_functions • SparkR
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