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File Name
Size
Date
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!,Column-method.html
284.00B
2025-05-23 10:46:10
$,SparkDataFrame-method.html
290.00B
2025-05-23 10:46:10
$.html
290.00B
2025-05-23 10:46:10
%in%,Column-method.html
288.00B
2025-05-23 10:46:10
AFTSurvivalRegressionModel-class.html
9.13KB
2025-05-23 10:46:10
ALSModel-class.html
8.95KB
2025-05-23 10:46:10
BisectingKMeansModel-class.html
9.07KB
2025-05-23 10:46:10
Column-class.html
290.00B
2025-05-23 10:46:10
DecisionTreeClassificationModel-class.html
9.18KB
2025-05-23 10:46:10
DecisionTreeRegressionModel-class.html
9.14KB
2025-05-23 10:46:10
FMClassificationModel-class.html
9.08KB
2025-05-23 10:46:10
FMRegressionModel-class.html
9.04KB
2025-05-23 10:46:10
FPGrowthModel-class.html
8.99KB
2025-05-23 10:46:10
GBTClassificationModel-class.html
9.09KB
2025-05-23 10:46:10
GBTRegressionModel-class.html
9.04KB
2025-05-23 10:46:10
GaussianMixtureModel-class.html
9.07KB
2025-05-23 10:46:10
GeneralizedLinearRegressionModel-class.html
9.15KB
2025-05-23 10:46:10
GroupedData.html
9.55KB
2025-05-23 10:46:10
IsotonicRegressionModel-class.html
9.10KB
2025-05-23 10:46:10
KMeansModel-class.html
8.97KB
2025-05-23 10:46:10
KSTest-class.html
8.93KB
2025-05-23 10:46:10
LDAModel-class.html
8.95KB
2025-05-23 10:46:10
LinearRegressionModel-class.html
9.08KB
2025-05-23 10:46:10
LinearSVCModel-class.html
9.01KB
2025-05-23 10:46:10
LogisticRegressionModel-class.html
9.10KB
2025-05-23 10:46:10
MultilayerPerceptronClassificationModel-class.html
9.27KB
2025-05-23 10:46:10
NaiveBayesModel-class.html
9.01KB
2025-05-23 10:46:10
PowerIterationClustering-class.html
9.11KB
2025-05-23 10:46:10
PrefixSpan-class.html
8.96KB
2025-05-23 10:46:10
RandomForestClassificationModel-class.html
9.18KB
2025-05-23 10:46:10
RandomForestRegressionModel-class.html
9.14KB
2025-05-23 10:46:10
SparkDataFrame.html
15.17KB
2025-05-23 10:46:10
StreamingQuery.html
9.32KB
2025-05-23 10:46:10
WindowSpec.html
9.33KB
2025-05-23 10:46:10
[,SparkDataFrame-method.html
290.00B
2025-05-23 10:46:10
[.html
290.00B
2025-05-23 10:46:10
[[,SparkDataFrame,numericOrcharacter-method.html
290.00B
2025-05-23 10:46:10
[[.html
290.00B
2025-05-23 10:46:10
abs,Column-method.html
320.00B
2025-05-23 10:46:10
abs.html
320.00B
2025-05-23 10:46:10
acos,Column-method.html
320.00B
2025-05-23 10:46:10
acos.html
320.00B
2025-05-23 10:46:10
acosh,Column-method.html
320.00B
2025-05-23 10:46:10
acosh.html
320.00B
2025-05-23 10:46:10
addJobTAg.html
10.26KB
2025-05-23 10:46:10
add_months,Column,numeric-method.html
338.00B
2025-05-23 10:46:10
add_months.html
338.00B
2025-05-23 10:46:10
agg,GroupedData-method.html
296.00B
2025-05-23 10:46:10
agg,SparkDataFrame-method.html
296.00B
2025-05-23 10:46:10
alias,Column-method.html
288.00B
2025-05-23 10:46:10
alias,SparkDataFrame-method.html
288.00B
2025-05-23 10:46:10
alias.html
18.89KB
2025-05-23 10:46:10
approxCountDistinct,Column-method.html
330.00B
2025-05-23 10:46:10
approxCountDistinct.html
330.00B
2025-05-23 10:46:10
approxQuantile,SparkDataFrame,character,numeric,numeric-method.html
306.00B
2025-05-23 10:46:10
approxQuantile.html
14.89KB
2025-05-23 10:46:10
approx_count_distinct,Column-method.html
330.00B
2025-05-23 10:46:10
approx_count_distinct.html
330.00B
2025-05-23 10:46:10
arrange,SparkDataFrame,Column-method.html
292.00B
2025-05-23 10:46:10
arrange,SparkDataFrame,character-method.html
292.00B
2025-05-23 10:46:10
arrange.html
18.84KB
2025-05-23 10:46:10
array_aggregate,characterOrColumn,Column,function-method.html
332.00B
2025-05-23 10:46:10
array_aggregate.html
332.00B
2025-05-23 10:46:10
array_contains,Column-method.html
332.00B
2025-05-23 10:46:10
array_contains.html
332.00B
2025-05-23 10:46:10
array_distinct,Column-method.html
332.00B
2025-05-23 10:46:10
array_distinct.html
332.00B
2025-05-23 10:46:10
array_except,Column,Column-method.html
332.00B
2025-05-23 10:46:10
array_except,Column-method.html
332.00B
2025-05-23 10:46:10
array_except.html
332.00B
2025-05-23 10:46:10
array_exists,characterOrColumn,function-method.html
332.00B
2025-05-23 10:46:10
array_exists.html
332.00B
2025-05-23 10:46:10
array_filter,characterOrColumn,function-method.html
332.00B
2025-05-23 10:46:10
array_filter.html
332.00B
2025-05-23 10:46:10
array_forall,characterOrColumn,function-method.html
332.00B
2025-05-23 10:46:10
array_forall.html
332.00B
2025-05-23 10:46:10
array_intersect,Column,Column-method.html
332.00B
2025-05-23 10:46:10
array_intersect,Column-method.html
332.00B
2025-05-23 10:46:10
array_intersect.html
332.00B
2025-05-23 10:46:10
array_join,Column,character-method.html
332.00B
2025-05-23 10:46:10
array_join,Column-method.html
332.00B
2025-05-23 10:46:10
array_join.html
332.00B
2025-05-23 10:46:10
array_max,Column-method.html
332.00B
2025-05-23 10:46:10
array_max.html
332.00B
2025-05-23 10:46:10
array_min,Column-method.html
332.00B
2025-05-23 10:46:10
array_min.html
332.00B
2025-05-23 10:46:10
array_position,Column-method.html
332.00B
2025-05-23 10:46:10
array_position.html
332.00B
2025-05-23 10:46:10
array_remove,Column-method.html
332.00B
2025-05-23 10:46:10
array_remove.html
332.00B
2025-05-23 10:46:10
array_repeat,Column,numericOrColumn-method.html
332.00B
2025-05-23 10:46:10
array_repeat.html
332.00B
2025-05-23 10:46:10
array_sort,Column-method.html
332.00B
2025-05-23 10:46:10
array_sort.html
332.00B
2025-05-23 10:46:10
array_to_vector,Column-method.html
316.00B
2025-05-23 10:46:10
array_to_vector.html
316.00B
2025-05-23 10:46:10
array_transform,characterOrColumn,characterOrColumn,function-method.html
332.00B
2025-05-23 10:46:10
array_transform,characterOrColumn,function-method.html
332.00B
2025-05-23 10:46:10
array_transform.html
332.00B
2025-05-23 10:46:10
array_union,Column,Column-method.html
332.00B
2025-05-23 10:46:10
array_union,Column-method.html
332.00B
2025-05-23 10:46:10
array_union.html
332.00B
2025-05-23 10:46:10
arrays_overlap,Column,Column-method.html
332.00B
2025-05-23 10:46:10
arrays_overlap,Column-method.html
332.00B
2025-05-23 10:46:10
arrays_overlap.html
332.00B
2025-05-23 10:46:10
arrays_zip,Column-method.html
332.00B
2025-05-23 10:46:10
arrays_zip.html
332.00B
2025-05-23 10:46:10
arrays_zip_with,characterOrColumn,characterOrColumn,function-method.html
332.00B
2025-05-23 10:46:10
arrays_zip_with.html
332.00B
2025-05-23 10:46:10
as.DataFrame.html
308.00B
2025-05-23 10:46:10
as.data.frame,SparkDataFrame-method.html
304.00B
2025-05-23 10:46:10
as.data.frame.html
16.72KB
2025-05-23 10:46:10
asc_nulls_first.html
308.00B
2025-05-23 10:46:10
asc_nulls_last.html
308.00B
2025-05-23 10:46:10
ascii,Column-method.html
324.00B
2025-05-23 10:46:10
ascii.html
324.00B
2025-05-23 10:46:10
asin,Column-method.html
320.00B
2025-05-23 10:46:10
asin.html
320.00B
2025-05-23 10:46:10
asinh,Column-method.html
320.00B
2025-05-23 10:46:10
asinh.html
320.00B
2025-05-23 10:46:10
assert_true,Column-method.html
320.00B
2025-05-23 10:46:10
assert_true.html
320.00B
2025-05-23 10:46:10
associationRules,FPGrowthModel-method.html
306.00B
2025-05-23 10:46:10
atan,Column-method.html
320.00B
2025-05-23 10:46:10
atan.html
320.00B
2025-05-23 10:46:10
atan2,Column-method.html
320.00B
2025-05-23 10:46:10
atan2.html
320.00B
2025-05-23 10:46:10
atanh,Column-method.html
320.00B
2025-05-23 10:46:10
atanh.html
320.00B
2025-05-23 10:46:10
attach.html
16.89KB
2025-05-23 10:46:10
avg,Column-method.html
284.00B
2025-05-23 10:46:10
avg.html
10.65KB
2025-05-23 10:46:10
awaitTermination,StreamingQuery-method.html
310.00B
2025-05-23 10:46:10
awaitTermination.html
11.47KB
2025-05-23 10:46:10
base64,Column-method.html
324.00B
2025-05-23 10:46:10
base64.html
324.00B
2025-05-23 10:46:10
between,Column-method.html
292.00B
2025-05-23 10:46:10
between.html
10.15KB
2025-05-23 10:46:10
bin,Column-method.html
320.00B
2025-05-23 10:46:10
bin.html
320.00B
2025-05-23 10:46:10
bit_length,Column-method.html
324.00B
2025-05-23 10:46:10
bit_length.html
324.00B
2025-05-23 10:46:10
bitwiseNOT,Column-method.html
336.00B
2025-05-23 10:46:10
bitwiseNOT.html
336.00B
2025-05-23 10:46:10
bitwise_not,Column-method.html
336.00B
2025-05-23 10:46:10
bitwise_not.html
336.00B
2025-05-23 10:46:10
broadcast,SparkDataFrame-method.html
296.00B
2025-05-23 10:46:10
broadcast.html
16.32KB
2025-05-23 10:46:10
bround,Column-method.html
320.00B
2025-05-23 10:46:10
bround.html
320.00B
2025-05-23 10:46:10
cache,SparkDataFrame-method.html
288.00B
2025-05-23 10:46:10
cache.html
15.16KB
2025-05-23 10:46:10
cacheTable.html
10.95KB
2025-05-23 10:46:10
cancelJobGroup.html
10.15KB
2025-05-23 10:46:10
cancelJobsWithTag.html
10.20KB
2025-05-23 10:46:10
cast,Column-method.html
286.00B
2025-05-23 10:46:10
cast.html
11.10KB
2025-05-23 10:46:10
cbrt,Column-method.html
320.00B
2025-05-23 10:46:10
cbrt.html
320.00B
2025-05-23 10:46:10
ceil,Column-method.html
320.00B
2025-05-23 10:46:10
ceil.html
320.00B
2025-05-23 10:46:10
ceiling,Column-method.html
320.00B
2025-05-23 10:46:10
ceiling.html
320.00B
2025-05-23 10:46:10
checkpoint,SparkDataFrame-method.html
298.00B
2025-05-23 10:46:10
checkpoint.html
16.12KB
2025-05-23 10:46:10
clearCache.html
9.55KB
2025-05-23 10:46:10
clearJobGroup.html
9.81KB
2025-05-23 10:46:10
clearJobTags.html
9.75KB
2025-05-23 10:46:10
coalesce,Column-method.html
336.00B
2025-05-23 10:46:10
coalesce,SparkDataFrame-method.html
294.00B
2025-05-23 10:46:10
coalesce.html
17.25KB
2025-05-23 10:46:10
collect,SparkDataFrame-method.html
292.00B
2025-05-23 10:46:10
collect.html
16.58KB
2025-05-23 10:46:10
collect_list,Column-method.html
330.00B
2025-05-23 10:46:10
collect_list.html
330.00B
2025-05-23 10:46:10
collect_set,Column-method.html
330.00B
2025-05-23 10:46:10
collect_set.html
330.00B
2025-05-23 10:46:10
colnames,SparkDataFrame-method.html
292.00B
2025-05-23 10:46:10
coltypes,SparkDataFrame-method.html
294.00B
2025-05-23 10:46:10
coltypes.html
17.68KB
2025-05-23 10:46:10
column,character-method.html
290.00B
2025-05-23 10:46:10
column,jobj-method.html
290.00B
2025-05-23 10:46:10
column.html
10.99KB
2025-05-23 10:46:10
column_aggregate_functions.html
50.96KB
2025-05-23 10:46:10
column_avro_functions.html
15.20KB
2025-05-23 10:46:10
column_collection_functions.html
88.58KB
2025-05-23 10:46:10
column_datetime_diff_functions.html
26.12KB
2025-05-23 10:46:10
column_datetime_functions.html
48.61KB
2025-05-23 10:46:10
column_math_functions.html
37.41KB
2025-05-23 10:46:10
column_misc_functions.html
19.41KB
2025-05-23 10:46:10
column_ml_functions.html
12.70KB
2025-05-23 10:46:10
column_nonaggregate_functions.html
37.02KB
2025-05-23 10:46:10
column_string_functions.html
55.81KB
2025-05-23 10:46:10
column_window_functions.html
22.49KB
2025-05-23 10:46:10
columnfunctions.html
11.30KB
2025-05-23 10:46:10
columns,SparkDataFrame-method.html
292.00B
2025-05-23 10:46:10
columns.html
17.27KB
2025-05-23 10:46:10
concat,Column-method.html
332.00B
2025-05-23 10:46:10
concat.html
332.00B
2025-05-23 10:46:10
concat_ws,character,Column-method.html
324.00B
2025-05-23 10:46:10
concat_ws.html
324.00B
2025-05-23 10:46:10
contains.html
308.00B
2025-05-23 10:46:10
conv,Column,numeric,numeric-method.html
320.00B
2025-05-23 10:46:10
conv.html
320.00B
2025-05-23 10:46:10
corr,Column-method.html
286.00B
2025-05-23 10:46:10
corr,SparkDataFrame-method.html
286.00B
2025-05-23 10:46:10
corr.html
13.99KB
2025-05-23 10:46:10
cos,Column-method.html
320.00B
2025-05-23 10:46:10
cos.html
320.00B
2025-05-23 10:46:10
cosh,Column-method.html
320.00B
2025-05-23 10:46:10
cosh.html
320.00B
2025-05-23 10:46:10
cot,Column-method.html
320.00B
2025-05-23 10:46:10
cot.html
320.00B
2025-05-23 10:46:10
count,Column-method.html
288.00B
2025-05-23 10:46:10
count,GroupedData-method.html
288.00B
2025-05-23 10:46:10
count,SparkDataFrame-method.html
286.00B
2025-05-23 10:46:10
count.html
12.65KB
2025-05-23 10:46:10
countDistinct,Column-method.html
330.00B
2025-05-23 10:46:10
countDistinct.html
330.00B
2025-05-23 10:46:10
count_distinct,Column-method.html
330.00B
2025-05-23 10:46:10
count_distinct.html
330.00B
2025-05-23 10:46:10
cov,SparkDataFrame-method.html
284.00B
2025-05-23 10:46:10
cov,characterOrColumn-method.html
284.00B
2025-05-23 10:46:10
cov.html
16.22KB
2025-05-23 10:46:10
covar_pop,characterOrColumn,characterOrColumn-method.html
284.00B
2025-05-23 10:46:10
covar_pop.html
284.00B
2025-05-23 10:46:10
covar_samp,characterOrColumn,characterOrColumn-method.html
284.00B
2025-05-23 10:46:10
covar_samp.html
284.00B
2025-05-23 10:46:10
crc32,Column-method.html
320.00B
2025-05-23 10:46:10
crc32.html
320.00B
2025-05-23 10:46:10
createDataFrame.html
12.35KB
2025-05-23 10:46:10
createExternalTable-deprecated.html
12.12KB
2025-05-23 10:46:10
createOrReplaceTempView,SparkDataFrame,character-method.html
324.00B
2025-05-23 10:46:10
createOrReplaceTempView.html
16.14KB
2025-05-23 10:46:10
createTable.html
12.75KB
2025-05-23 10:46:10
create_array,Column-method.html
336.00B
2025-05-23 10:46:10
create_array.html
336.00B
2025-05-23 10:46:10
create_lambda.html
9.88KB
2025-05-23 10:46:10
create_map,Column-method.html
336.00B
2025-05-23 10:46:10
create_map.html
336.00B
2025-05-23 10:46:10
crossJoin,SparkDataFrame,SparkDataFrame-method.html
296.00B
2025-05-23 10:46:10
crossJoin.html
15.63KB
2025-05-23 10:46:10
crosstab,SparkDataFrame,character,character-method.html
294.00B
2025-05-23 10:46:10
crosstab.html
12.31KB
2025-05-23 10:46:10
csc,Column-method.html
320.00B
2025-05-23 10:46:10
csc.html
320.00B
2025-05-23 10:46:10
cube,SparkDataFrame-method.html
286.00B
2025-05-23 10:46:10
cube.html
16.90KB
2025-05-23 10:46:10
cume_dist,missing-method.html
324.00B
2025-05-23 10:46:10
cume_dist.html
324.00B
2025-05-23 10:46:10
currentCatalog.html
9.92KB
2025-05-23 10:46:10
currentDatabase.html
9.93KB
2025-05-23 10:46:10
current_date,missing-method.html
328.00B
2025-05-23 10:46:10
current_date.html
328.00B
2025-05-23 10:46:10
current_timestamp,missing-method.html
328.00B
2025-05-23 10:46:10
current_timestamp.html
328.00B
2025-05-23 10:46:10
dapply,SparkDataFrame,function,characterOrstructType-method.html
290.00B
2025-05-23 10:46:10
dapply.html
22.24KB
2025-05-23 10:46:10
dapplyCollect,SparkDataFrame,function-method.html
304.00B
2025-05-23 10:46:10
dapplyCollect.html
18.82KB
2025-05-23 10:46:10
databaseExists.html
10.26KB
2025-05-23 10:46:10
date_add,Column,numeric-method.html
338.00B
2025-05-23 10:46:10
date_add.html
338.00B
2025-05-23 10:46:10
date_format,Column,character-method.html
338.00B
2025-05-23 10:46:10
date_format.html
338.00B
2025-05-23 10:46:10
date_sub,Column,numeric-method.html
338.00B
2025-05-23 10:46:10
date_sub.html
338.00B
2025-05-23 10:46:10
date_trunc,character,Column-method.html
328.00B
2025-05-23 10:46:10
date_trunc.html
328.00B
2025-05-23 10:46:10
datediff,Column-method.html
338.00B
2025-05-23 10:46:10
datediff.html
338.00B
2025-05-23 10:46:10
dayofmonth,Column-method.html
328.00B
2025-05-23 10:46:10
dayofmonth.html
328.00B
2025-05-23 10:46:10
dayofweek,Column-method.html
328.00B
2025-05-23 10:46:10
dayofweek.html
328.00B
2025-05-23 10:46:10
dayofyear,Column-method.html
328.00B
2025-05-23 10:46:10
dayofyear.html
328.00B
2025-05-23 10:46:10
decode,Column,character-method.html
324.00B
2025-05-23 10:46:10
decode.html
324.00B
2025-05-23 10:46:10
degrees,Column-method.html
320.00B
2025-05-23 10:46:10
degrees.html
320.00B
2025-05-23 10:46:10
dense_rank,missing-method.html
324.00B
2025-05-23 10:46:10
dense_rank.html
324.00B
2025-05-23 10:46:10
desc.html
308.00B
2025-05-23 10:46:10
desc_nulls_first.html
308.00B
2025-05-23 10:46:10
desc_nulls_last.html
308.00B
2025-05-23 10:46:10
describe,SparkDataFrame,ANY-method.html
294.00B
2025-05-23 10:46:10
describe,SparkDataFrame,character-method.html
294.00B
2025-05-23 10:46:10
describe,SparkDataFrame-method.html
294.00B
2025-05-23 10:46:10
describe.html
16.77KB
2025-05-23 10:46:10
dim,SparkDataFrame-method.html
284.00B
2025-05-23 10:46:10
dim.html
15.18KB
2025-05-23 10:46:10
distinct,SparkDataFrame-method.html
294.00B
2025-05-23 10:46:10
distinct.html
15.56KB
2025-05-23 10:46:10
drop,ANY,ANY-method.html
286.00B
2025-05-23 10:46:10
drop,SparkDataFrame,characterOrColumn-method.html
286.00B
2025-05-23 10:46:10
drop.html
17.36KB
2025-05-23 10:46:10
dropDuplicates,SparkDataFrame-method.html
306.00B
2025-05-23 10:46:10
dropDuplicates.html
16.39KB
2025-05-23 10:46:10
dropFields,Column-method.html
298.00B
2025-05-23 10:46:10
dropFields.html
16.68KB
2025-05-23 10:46:10
dropTempTable-deprecated.html
11.14KB
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dropTempView.html
11.16KB
2025-05-23 10:46:10
dropna,SparkDataFrame-method.html
300.00B
2025-05-23 10:46:10
dtypes,SparkDataFrame-method.html
290.00B
2025-05-23 10:46:10
dtypes.html
15.18KB
2025-05-23 10:46:10
element_at,Column-method.html
332.00B
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element_at.html
332.00B
2025-05-23 10:46:10
encode,Column,character-method.html
324.00B
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encode.html
324.00B
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endsWith,Column-method.html
294.00B
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endsWith.html
10.36KB
2025-05-23 10:46:10
eq_null_safe.html
13.57KB
2025-05-23 10:46:10
except,SparkDataFrame,SparkDataFrame-method.html
290.00B
2025-05-23 10:46:10
except.html
16.02KB
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exceptAll,SparkDataFrame,SparkDataFrame-method.html
296.00B
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exceptAll.html
16.38KB
2025-05-23 10:46:10
exp,Column-method.html
320.00B
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exp.html
320.00B
2025-05-23 10:46:10
explain,SparkDataFrame-method.html
292.00B
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explain,StreamingQuery-method.html
292.00B
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explain.html
16.68KB
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explode,Column-method.html
332.00B
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explode.html
332.00B
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explode_outer,Column-method.html
332.00B
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explode_outer.html
332.00B
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expm1,Column-method.html
320.00B
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expm1.html
320.00B
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expr,character-method.html
336.00B
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expr.html
336.00B
2025-05-23 10:46:10
factorial,Column-method.html
320.00B
2025-05-23 10:46:10
factorial.html
320.00B
2025-05-23 10:46:10
fillna,SparkDataFrame-method.html
300.00B
2025-05-23 10:46:10
fillna.html
300.00B
2025-05-23 10:46:10
filter,SparkDataFrame,characterOrColumn-method.html
290.00B
2025-05-23 10:46:10
filter.html
16.62KB
2025-05-23 10:46:10
findFrequentSequentialPatterns,PrefixSpan,SparkDataFrame-method.html
310.00B
2025-05-23 10:46:10
first,SparkDataFrame-method.html
288.00B
2025-05-23 10:46:10
first,characterOrColumn-method.html
288.00B
2025-05-23 10:46:10
first.html
17.52KB
2025-05-23 10:46:10
fitted,BisectingKMeansModel-method.html
320.00B
2025-05-23 10:46:10
fitted,KMeansModel-method.html
290.00B
2025-05-23 10:46:10
fitted.html
11.76KB
2025-05-23 10:46:10
flatten,Column-method.html
332.00B
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flatten.html
332.00B
2025-05-23 10:46:10
floor,Column-method.html
320.00B
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floor.html
320.00B
2025-05-23 10:46:10
format_number,Column,numeric-method.html
324.00B
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format_number.html
324.00B
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format_string,character,Column-method.html
324.00B
2025-05-23 10:46:10
format_string.html
324.00B
2025-05-23 10:46:10
freqItems,SparkDataFrame,character-method.html
296.00B
2025-05-23 10:46:10
freqItems.html
12.29KB
2025-05-23 10:46:10
freqItemsets,FPGrowthModel-method.html
306.00B
2025-05-23 10:46:10
from_avro,Column-method.html
320.00B
2025-05-23 10:46:10
from_avro,characterOrColumn-method.html
320.00B
2025-05-23 10:46:10
from_avro.html
320.00B
2025-05-23 10:46:10
from_csv,Column,characterOrstructTypeOrColumn-method.html
332.00B
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from_csv.html
332.00B
2025-05-23 10:46:10
from_json,Column,characterOrstructTypeOrColumn-method.html
332.00B
2025-05-23 10:46:10
from_json.html
332.00B
2025-05-23 10:46:10
from_unixtime,Column-method.html
328.00B
2025-05-23 10:46:10
from_unixtime.html
328.00B
2025-05-23 10:46:10
from_utc_timestamp,Column,character-method.html
338.00B
2025-05-23 10:46:10
from_utc_timestamp.html
338.00B
2025-05-23 10:46:10
functionExists.html
10.27KB
2025-05-23 10:46:10
gapply,GroupedData-method.html
290.00B
2025-05-23 10:46:10
gapply,SparkDataFrame-method.html
290.00B
2025-05-23 10:46:10
gapply.html
29.77KB
2025-05-23 10:46:10
gapplyCollect,GroupedData-method.html
304.00B
2025-05-23 10:46:10
gapplyCollect,SparkDataFrame-method.html
304.00B
2025-05-23 10:46:10
gapplyCollect.html
26.12KB
2025-05-23 10:46:10
getDatabase.html
10.36KB
2025-05-23 10:46:10
getField.html
308.00B
2025-05-23 10:46:10
getFunc.html
10.48KB
2025-05-23 10:46:10
getItem.html
308.00B
2025-05-23 10:46:10
getJobTags.html
10.11KB
2025-05-23 10:46:10
getLocalProperty.html
10.31KB
2025-05-23 10:46:10
getNumPartitions,SparkDataFrame-method.html
310.00B
2025-05-23 10:46:10
getNumPartitions.html
14.98KB
2025-05-23 10:46:10
getTable.html
10.38KB
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glm.html
15.25KB
2025-05-23 10:46:10
greatest,Column-method.html
336.00B
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greatest.html
336.00B
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groupBy,SparkDataFrame-method.html
292.00B
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groupBy.html
16.54KB
2025-05-23 10:46:10
group_by,SparkDataFrame-method.html
292.00B
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groupedData.html
300.00B
2025-05-23 10:46:10
grouping_bit,Column-method.html
330.00B
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grouping_bit.html
330.00B
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grouping_id,Column-method.html
330.00B
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grouping_id.html
330.00B
2025-05-23 10:46:10
hash,Column-method.html
320.00B
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hash.html
320.00B
2025-05-23 10:46:10
hashCode.html
10.80KB
2025-05-23 10:46:10
head,SparkDataFrame-method.html
286.00B
2025-05-23 10:46:10
head.html
15.68KB
2025-05-23 10:46:10
hex,Column-method.html
320.00B
2025-05-23 10:46:10
hex.html
320.00B
2025-05-23 10:46:10
hint,SparkDataFrame,character-method.html
286.00B
2025-05-23 10:46:10
hint.html
16.46KB
2025-05-23 10:46:10
histogram,SparkDataFrame,characterOrColumn-method.html
296.00B
2025-05-23 10:46:10
histogram.html
17.63KB
2025-05-23 10:46:10
hour,Column-method.html
328.00B
2025-05-23 10:46:10
hour.html
328.00B
2025-05-23 10:46:10
hypot,Column-method.html
320.00B
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hypot.html
320.00B
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ifelse,Column-method.html
336.00B
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ifelse.html
336.00B
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ilike.html
308.00B
2025-05-23 10:46:10
index.html
77.50KB
2025-05-23 10:46:10
initcap,Column-method.html
324.00B
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initcap.html
324.00B
2025-05-23 10:46:10
input_file_name,missing-method.html
336.00B
2025-05-23 10:46:10
input_file_name.html
336.00B
2025-05-23 10:46:10
insertInto,SparkDataFrame,character-method.html
298.00B
2025-05-23 10:46:10
insertInto.html
16.48KB
2025-05-23 10:46:10
install.spark.html
13.94KB
2025-05-23 10:46:10
instr,Column,character-method.html
324.00B
2025-05-23 10:46:10
instr.html
324.00B
2025-05-23 10:46:10
intersect,SparkDataFrame,SparkDataFrame-method.html
296.00B
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intersect.html
16.03KB
2025-05-23 10:46:10
intersectAll,SparkDataFrame,SparkDataFrame-method.html
302.00B
2025-05-23 10:46:10
intersectAll.html
16.41KB
2025-05-23 10:46:10
invoke_higher_order_function.html
10.09KB
2025-05-23 10:46:10
is.nan,Column-method.html
336.00B
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is.nan.html
336.00B
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isActive,StreamingQuery-method.html
294.00B
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isActive.html
10.64KB
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isLocal,SparkDataFrame-method.html
292.00B
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isLocal.html
15.32KB
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isNaN.html
308.00B
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isNotNull.html
308.00B
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isNull.html
308.00B
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isStreaming,SparkDataFrame-method.html
300.00B
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isStreaming.html
16.01KB
2025-05-23 10:46:10
isnan,Column-method.html
336.00B
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isnan.html
336.00B
2025-05-23 10:46:10
join,SparkDataFrame,SparkDataFrame-method.html
286.00B
2025-05-23 10:46:10
join.html
17.32KB
2025-05-23 10:46:10
kurtosis,Column-method.html
330.00B
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kurtosis.html
330.00B
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lag,characterOrColumn-method.html
324.00B
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lag.html
324.00B
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last,characterOrColumn-method.html
286.00B
2025-05-23 10:46:10
last.html
11.69KB
2025-05-23 10:46:10
lastProgress,StreamingQuery-method.html
302.00B
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lastProgress.html
10.57KB
2025-05-23 10:46:10
last_day,Column-method.html
328.00B
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last_day.html
328.00B
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lead,characterOrColumn,numeric-method.html
324.00B
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lead.html
324.00B
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least,Column-method.html
336.00B
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least.html
336.00B
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length,Column-method.html
324.00B
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length.html
324.00B
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levenshtein,Column-method.html
324.00B
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levenshtein.html
324.00B
2025-05-23 10:46:10
like.html
308.00B
2025-05-23 10:46:10
limit,SparkDataFrame,numeric-method.html
288.00B
2025-05-23 10:46:10
limit.html
15.68KB
2025-05-23 10:46:10
listCatalogs.html
9.91KB
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listColumns.html
11.05KB
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listDatabases.html
9.93KB
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listFunctions.html
10.69KB
2025-05-23 10:46:10
listTables.html
10.95KB
2025-05-23 10:46:10
lit,ANY-method.html
336.00B
2025-05-23 10:46:10
lit.html
336.00B
2025-05-23 10:46:10
ln,Column-method.html
320.00B
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ln.html
320.00B
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loadDF.html
292.00B
2025-05-23 10:46:10
localCheckpoint,SparkDataFrame-method.html
308.00B
2025-05-23 10:46:10
localCheckpoint.html
16.01KB
2025-05-23 10:46:10
locate,character,Column-method.html
324.00B
2025-05-23 10:46:10
locate.html
324.00B
2025-05-23 10:46:10
log,Column-method.html
320.00B
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log.html
320.00B
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log10,Column-method.html
320.00B
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log10.html
320.00B
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log1p,Column-method.html
320.00B
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log1p.html
320.00B
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log2,Column-method.html
320.00B
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log2.html
320.00B
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lower,Column-method.html
324.00B
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lower.html
324.00B
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lpad,Column,numeric,character-method.html
324.00B
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lpad.html
324.00B
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ltrim,Column,character-method.html
324.00B
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ltrim,Column,missing-method.html
324.00B
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ltrim.html
324.00B
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make_date,Column,Column,Column-method.html
328.00B
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make_date,Column-method.html
328.00B
2025-05-23 10:46:10
make_date.html
328.00B
2025-05-23 10:46:10
map_concat,Column-method.html
332.00B
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map_concat.html
332.00B
2025-05-23 10:46:10
map_entries,Column-method.html
332.00B
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map_entries.html
332.00B
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map_filter,characterOrColumn,function-method.html
332.00B
2025-05-23 10:46:10
map_filter.html
332.00B
2025-05-23 10:46:10
map_from_arrays,Column,Column-method.html
332.00B
2025-05-23 10:46:10
map_from_arrays,Column-method.html
332.00B
2025-05-23 10:46:10
map_from_arrays.html
332.00B
2025-05-23 10:46:10
map_from_entries,Column-method.html
332.00B
2025-05-23 10:46:10
map_from_entries.html
332.00B
2025-05-23 10:46:10
map_keys,Column-method.html
332.00B
2025-05-23 10:46:10
map_keys.html
332.00B
2025-05-23 10:46:10
map_values,Column-method.html
332.00B
2025-05-23 10:46:10
map_values.html
332.00B
2025-05-23 10:46:10
map_zip_with,characterOrColumn,characterOrColumn,function-method.html
332.00B
2025-05-23 10:46:10
map_zip_with.html
332.00B
2025-05-23 10:46:10
match.html
10.77KB
2025-05-23 10:46:10
max,Column-method.html
330.00B
2025-05-23 10:46:10
max.html
330.00B
2025-05-23 10:46:10
max_by,Column,Column-method.html
330.00B
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max_by,Column-method.html
330.00B
2025-05-23 10:46:10
max_by.html
330.00B
2025-05-23 10:46:10
md5,Column-method.html
320.00B
2025-05-23 10:46:10
md5.html
320.00B
2025-05-23 10:46:10
mean,Column-method.html
330.00B
2025-05-23 10:46:10
mean.html
330.00B
2025-05-23 10:46:10
melt,SparkDataFrame,ANY,ANY,character,character-method.html
292.00B
2025-05-23 10:46:10
melt.html
292.00B
2025-05-23 10:46:10
merge,SparkDataFrame,SparkDataFrame-method.html
288.00B
2025-05-23 10:46:10
merge.html
21.80KB
2025-05-23 10:46:10
min,Column-method.html
330.00B
2025-05-23 10:46:10
min.html
330.00B
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min_by,Column,Column-method.html
330.00B
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min_by,Column-method.html
330.00B
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min_by.html
330.00B
2025-05-23 10:46:10
minute,Column-method.html
328.00B
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minute.html
328.00B
2025-05-23 10:46:10
monotonically_increasing_id,missing-method.html
336.00B
2025-05-23 10:46:10
monotonically_increasing_id.html
336.00B
2025-05-23 10:46:10
month,Column-method.html
328.00B
2025-05-23 10:46:10
month.html
328.00B
2025-05-23 10:46:10
months_between,Column-method.html
338.00B
2025-05-23 10:46:10
months_between.html
338.00B
2025-05-23 10:46:10
mutate,SparkDataFrame-method.html
290.00B
2025-05-23 10:46:10
mutate.html
18.88KB
2025-05-23 10:46:10
n,Column-method.html
288.00B
2025-05-23 10:46:10
n.html
288.00B
2025-05-23 10:46:10
n_distinct,Column-method.html
330.00B
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n_distinct.html
330.00B
2025-05-23 10:46:10
na.omit,SparkDataFrame-method.html
300.00B
2025-05-23 10:46:10
na.omit.html
300.00B
2025-05-23 10:46:10
nafunctions.html
20.54KB
2025-05-23 10:46:10
names,SparkDataFrame-method.html
292.00B
2025-05-23 10:46:10
names.html
292.00B
2025-05-23 10:46:10
nanvl,Column-method.html
336.00B
2025-05-23 10:46:10
nanvl.html
336.00B
2025-05-23 10:46:10
ncol,SparkDataFrame-method.html
286.00B
2025-05-23 10:46:10
ncol.html
15.15KB
2025-05-23 10:46:10
negate,Column-method.html
336.00B
2025-05-23 10:46:10
negate.html
336.00B
2025-05-23 10:46:10
negative,Column-method.html
336.00B
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negative.html
336.00B
2025-05-23 10:46:10
next_day,Column,character-method.html
338.00B
2025-05-23 10:46:10
next_day.html
338.00B
2025-05-23 10:46:10
not,Column-method.html
284.00B
2025-05-23 10:46:10
not.html
14.32KB
2025-05-23 10:46:10
nrow,SparkDataFrame-method.html
286.00B
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nrow.html
15.41KB
2025-05-23 10:46:10
nth_value,characterOrColumn,numeric-method.html
324.00B
2025-05-23 10:46:10
nth_value,characterOrColumn-method.html
324.00B
2025-05-23 10:46:10
nth_value.html
324.00B
2025-05-23 10:46:10
ntile,numeric-method.html
324.00B
2025-05-23 10:46:10
ntile.html
324.00B
2025-05-23 10:46:10
octet_length,Column-method.html
324.00B
2025-05-23 10:46:10
octet_length.html
324.00B
2025-05-23 10:46:10
orderBy,SparkDataFrame,characterOrColumn-method.html
292.00B
2025-05-23 10:46:10
orderBy,WindowSpec,Column-method.html
292.00B
2025-05-23 10:46:10
orderBy,WindowSpec,character-method.html
292.00B
2025-05-23 10:46:10
orderBy.html
11.78KB
2025-05-23 10:46:10
otherwise,Column-method.html
296.00B
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otherwise.html
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over,Column,WindowSpec-method.html
286.00B
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over.html
13.13KB
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overlay,Column,Column,numericOrColumn-method.html
324.00B
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overlay,Column-method,numericOrColumn-method.html
324.00B
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overlay.html
324.00B
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partitionBy,WindowSpec-method.html
300.00B
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partitionBy.html
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percent_rank,missing-method.html
324.00B
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percent_rank.html
324.00B
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percentile_approx,Column-method.html
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percentile_approx,characterOrColumn,numericOrColumn-method.html
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percentile_approx.html
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persist,SparkDataFrame,character-method.html
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persist.html
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pivot,GroupedData,character-method.html
288.00B
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pivot.html
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pmod,Column-method.html
320.00B
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pmod.html
320.00B
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posexplode,Column-method.html
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posexplode.html
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posexplode_outer,Column-method.html
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posexplode_outer.html
332.00B
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positive,Column-method.html
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positive.html
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predict,BisectingKMeansModel-method.html
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predict,DecisionTreeRegressionModel-method.html
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312.00B
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predict,FMRegressionModel-method.html
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predict,FPGrowthModel-method.html
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predict,GaussianMixtureModel-method.html
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predict,NaiveBayesModel-method.html
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product,Column-method.html
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quarter.html
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queryName.html
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radians,Column-method.html
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rank,ANY-method.html
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rank,missing-method.html
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rank.html
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rbind.html
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refreshByPath.html
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refreshTable.html
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rename.html
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repartition,SparkDataFrame-method.html
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rollup,SparkDataFrame-method.html
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rollup.html
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round,Column-method.html
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round.html
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row_number,missing-method.html
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row_number.html
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rowsBetween,WindowSpec,numeric,numeric-method.html
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rpad,Column,numeric,character-method.html
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rpad.html
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rtrim,Column,character-method.html
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rtrim,Column,missing-method.html
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sample,SparkDataFrame-method.html
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sample.html
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saveAsTable.html
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saveDF,SparkDataFrame,character-method.html
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schema.html
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schema_of_json.html
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sd,Column-method.html
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sd.html
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sec,Column-method.html
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shuffle,Column-method.html
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spark.lda,SparkDataFrame-method.html
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sparkR.callJStatic.html
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sparkR.conf.html
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2025-05-23 10:46:10
sparkR.init-deprecated.html
14.27KB
2025-05-23 10:46:10
sparkR.newJObject.html
12.63KB
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sparkR.session.html
16.25KB
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sparkR.session.stop.html
9.35KB
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sparkR.stop.html
316.00B
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sparkR.uiWebUrl.html
10.22KB
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sparkR.version.html
10.12KB
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sparkRHive.init-deprecated.html
10.90KB
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sparkRSQL.init-deprecated.html
11.03KB
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spark_partition_id,missing-method.html
336.00B
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spark_partition_id.html
336.00B
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split_string,Column,character-method.html
324.00B
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split_string,Column-method.html
324.00B
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split_string.html
324.00B
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sql.html
10.92KB
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sqrt,Column-method.html
320.00B
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sqrt.html
320.00B
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startsWith,Column-method.html
298.00B
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startsWith.html
10.38KB
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status,StreamingQuery-method.html
290.00B
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status.html
10.45KB
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std,Column-method.html
330.00B
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std.html
330.00B
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stddev,Column-method.html
330.00B
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stddev.html
330.00B
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stddev_pop,Column-method.html
330.00B
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stddev_pop.html
330.00B
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stddev_samp,Column-method.html
330.00B
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stddev_samp.html
330.00B
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stopQuery,StreamingQuery-method.html
296.00B
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stopQuery.html
10.62KB
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storageLevel,SparkDataFrame-method.html
302.00B
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storageLevel.html
15.28KB
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str,SparkDataFrame-method.html
284.00B
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str.html
15.32KB
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struct,characterOrColumn-method.html
336.00B
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struct.html
336.00B
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structField.character.html
300.00B
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structField.html
13.29KB
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structField.jobj.html
300.00B
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structType.character.html
298.00B
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structType.html
14.60KB
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structType.jobj.html
298.00B
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structType.structField.html
298.00B
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subset,SparkDataFrame-method.html
290.00B
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subset.html
21.93KB
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substr,Column-method.html
290.00B
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substr.html
12.17KB
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substring_index,Column,character,numeric-method.html
324.00B
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substring_index.html
324.00B
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sum,Column-method.html
330.00B
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sum.html
330.00B
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sumDistinct,Column-method.html
330.00B
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sumDistinct.html
330.00B
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sum_distinct,Column-method.html
330.00B
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sum_distinct.html
330.00B
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summarize,GroupedData-method.html
296.00B
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summarize,SparkDataFrame-method.html
296.00B
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summarize.html
17.67KB
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summary,AFTSurvivalRegressionModel-method.html
304.00B
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summary,ALSModel-method.html
296.00B
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summary,BisectingKMeansModel-method.html
320.00B
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summary,DecisionTreeClassificationModel-method.html
314.00B
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summary,DecisionTreeRegressionModel-method.html
314.00B
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summary,FMClassificationModel-method.html
314.00B
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summary,FMRegressionModel-method.html
312.00B
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summary,GBTClassificationModel-method.html
296.00B
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summary,GBTRegressionModel-method.html
296.00B
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summary,GaussianMixtureModel-method.html
320.00B
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summary,GeneralizedLinearRegressionModel-method.html
296.00B
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summary,IsotonicRegressionModel-method.html
302.00B
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summary,KMeansModel-method.html
302.00B
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summary,KSTest-method.html
302.00B
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summary,LDAModel-method.html
296.00B
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summary,LinearRegressionModel-method.html
294.00B
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summary,LinearSVCModel-method.html
308.00B
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summary,LogisticRegressionModel-method.html
300.00B
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summary,MultilayerPerceptronClassificationModel-method.html
296.00B
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summary,NaiveBayesModel-method.html
310.00B
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summary,RandomForestClassificationModel-method.html
314.00B
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summary,RandomForestRegressionModel-method.html
314.00B
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summary,SparkDataFrame-method.html
292.00B
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summary.html
18.00KB
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tableExists.html
10.26KB
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tableNames.html
10.37KB
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tableToDF.html
11.51KB
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tables.html
10.58KB
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take,SparkDataFrame,numeric-method.html
286.00B
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take.html
15.69KB
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tan,Column-method.html
320.00B
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tan.html
320.00B
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tanh,Column-method.html
320.00B
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tanh.html
320.00B
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timestamp_seconds,Column-method.html
328.00B
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toDegrees,Column-method.html
320.00B
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toDegrees.html
320.00B
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toJSON,SparkDataFrame-method.html
290.00B
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toJSON.html
15.75KB
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toRadians,Column-method.html
320.00B
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toRadians.html
320.00B
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to_avro,Column-method.html
320.00B
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to_avro,characterOrColumn-method.html
320.00B
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to_avro.html
320.00B
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to_csv,Column-method.html
332.00B
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to_csv.html
332.00B
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to_date,Column,character-method.html
328.00B
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to_date,Column,missing-method.html
328.00B
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to_date.html
328.00B
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to_json,Column-method.html
332.00B
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to_json.html
332.00B
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to_timestamp,Column,character-method.html
328.00B
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to_timestamp,Column,missing-method.html
328.00B
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to_timestamp.html
328.00B
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to_utc_timestamp,Column,character-method.html
338.00B
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to_utc_timestamp.html
338.00B
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transform,SparkDataFrame-method.html
290.00B
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transform.html
290.00B
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transform_keys,characterOrColumn,function-method.html
332.00B
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transform_keys.html
332.00B
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transform_values,characterOrColumn,function-method.html
332.00B
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transform_values.html
332.00B
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translate,Column,character,character-method.html
324.00B
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translate.html
324.00B
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trim,Column,character-method.html
324.00B
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trim,Column,missing-method.html
324.00B
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trim.html
324.00B
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trunc,Column-method.html
328.00B
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trunc.html
328.00B
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unbase64,Column-method.html
324.00B
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unbase64.html
324.00B
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uncacheTable.html
11.02KB
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unhex,Column-method.html
320.00B
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unhex.html
320.00B
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union,SparkDataFrame,SparkDataFrame-method.html
288.00B
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union.html
17.05KB
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unionAll,SparkDataFrame,SparkDataFrame-method.html
294.00B
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unionAll.html
15.87KB
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unionByName,SparkDataFrame,SparkDataFrame-method.html
300.00B
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unionByName.html
18.95KB
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unique,SparkDataFrame-method.html
294.00B
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unique.html
294.00B
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unix_timestamp,Column,character-method.html
328.00B
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unix_timestamp,Column,missing-method.html
328.00B
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unix_timestamp,missing,missing-method.html
328.00B
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unix_timestamp.html
328.00B
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unpersist,SparkDataFrame-method.html
296.00B
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unpersist.html
15.94KB
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unpivot,SparkDataFrame,ANY,ANY,character,character-method.html
292.00B
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unpivot.html
18.72KB
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unresolved_named_lambda_var.html
10.14KB
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upper,Column-method.html
324.00B
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upper.html
324.00B
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var,Column-method.html
330.00B
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var.html
330.00B
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var_pop,Column-method.html
330.00B
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var_pop.html
330.00B
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var_samp,Column-method.html
330.00B
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var_samp.html
330.00B
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variance,Column-method.html
330.00B
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variance.html
330.00B
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vector_to_array,Column-method.html
316.00B
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vector_to_array.html
316.00B
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weekofyear,Column-method.html
328.00B
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weekofyear.html
328.00B
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when,Column-method.html
336.00B
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when.html
336.00B
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where,SparkDataFrame,characterOrColumn-method.html
290.00B
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where.html
290.00B
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width_bucket,Column,Column,Column,Column-method.html
320.00B
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width_bucket,Column-method.html
320.00B
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width_bucket.html
320.00B
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window,Column-method.html
328.00B
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window.html
328.00B
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windowOrderBy,Column-method.html
304.00B
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windowOrderBy,character-method.html
304.00B
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windowOrderBy.html
12.19KB
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windowPartitionBy,Column-method.html
312.00B
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windowPartitionBy,character-method.html
312.00B
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windowPartitionBy.html
12.57KB
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with,SparkDataFrame-method.html
286.00B
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with.html
16.18KB
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withColumn,SparkDataFrame,character-method.html
298.00B
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withColumn.html
18.38KB
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withColumnRenamed,SparkDataFrame,character,character-method.html
290.00B
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withColumnRenamed.html
290.00B
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withField,Column,character,Column-method.html
296.00B
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withField,Column-method.html
296.00B
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withField.html
12.06KB
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withWatermark,SparkDataFrame,character,character-method.html
304.00B
2025-05-23 10:46:10
withWatermark.html
18.07KB
2025-05-23 10:46:10
write.df,SparkDataFrame-method.html
294.00B
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write.df.html
19.45KB
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write.jdbc,SparkDataFrame,character,character-method.html
298.00B
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write.jdbc.html
18.14KB
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write.json,SparkDataFrame,character-method.html
298.00B
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write.json.html
16.82KB
2025-05-23 10:46:10
write.ml,AFTSurvivalRegressionModel,character-method.html
304.00B
2025-05-23 10:46:10
write.ml,ALSModel,character-method.html
296.00B
2025-05-23 10:46:10
write.ml,BisectingKMeansModel,character-method.html
320.00B
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write.ml,DecisionTreeClassificationModel,character-method.html
314.00B
2025-05-23 10:46:10
write.ml,DecisionTreeRegressionModel,character-method.html
314.00B
2025-05-23 10:46:10
write.ml,FMClassificationModel,character-method.html
314.00B
2025-05-23 10:46:10
write.ml,FMRegressionModel,character-method.html
312.00B
2025-05-23 10:46:10
write.ml,FPGrowthModel,character-method.html
306.00B
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write.ml,GBTClassificationModel,character-method.html
296.00B
2025-05-23 10:46:10
write.ml,GBTRegressionModel,character-method.html
296.00B
2025-05-23 10:46:10
write.ml,GaussianMixtureModel,character-method.html
320.00B
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write.ml,GeneralizedLinearRegressionModel,character-method.html
296.00B
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write.ml,IsotonicRegressionModel,character-method.html
302.00B
2025-05-23 10:46:10
write.ml,KMeansModel,character-method.html
302.00B
2025-05-23 10:46:10
write.ml,LDAModel,character-method.html
296.00B
2025-05-23 10:46:10
write.ml,LinearRegressionModel,character-method.html
294.00B
2025-05-23 10:46:10
write.ml,LinearSVCModel,character-method.html
308.00B
2025-05-23 10:46:10
write.ml,LogisticRegressionModel,character-method.html
300.00B
2025-05-23 10:46:10
write.ml,MultilayerPerceptronClassificationModel,character-method.html
296.00B
2025-05-23 10:46:10
write.ml,NaiveBayesModel,character-method.html
310.00B
2025-05-23 10:46:10
write.ml,RandomForestClassificationModel,character-method.html
314.00B
2025-05-23 10:46:10
write.ml,RandomForestRegressionModel,character-method.html
314.00B
2025-05-23 10:46:10
write.ml.html
10.62KB
2025-05-23 10:46:10
write.orc,SparkDataFrame,character-method.html
296.00B
2025-05-23 10:46:10
write.orc.html
16.73KB
2025-05-23 10:46:10
write.parquet,SparkDataFrame,character-method.html
304.00B
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write.parquet.html
16.80KB
2025-05-23 10:46:10
write.stream,SparkDataFrame-method.html
302.00B
2025-05-23 10:46:10
write.stream.html
21.66KB
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write.text,SparkDataFrame,character-method.html
298.00B
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write.text.html
16.97KB
2025-05-23 10:46:10
xxhash64,Column-method.html
320.00B
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xxhash64.html
320.00B
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year,Column-method.html
328.00B
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year.html
328.00B
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10" >