[SPARK][R] test output (stdout) on Windows 7 32bit (fixed_2)

output02.msg

Loading required package: methods

Attaching package: 'SparkR'

The following object is masked from 'package:testthat':

    describe

The following objects are masked from 'package:stats':

    cov, filter, lag, na.omit, predict, sd, var, window

The following objects are masked from 'package:base':

    as.data.frame, colnames, colnames<-, drop, endsWith, intersect,
    rank, rbind, sample, startsWith, subset, summary, transform

binary functions: ...........
functions on binary files: Re-using existing Spark Context. Please stop SparkR with sparkR.stop() or restart R to create a new Spark Context
....
broadcast variables: Re-using existing Spark Context. Please stop SparkR with sparkR.stop() or restart R to create a new Spark Context
..
functions in client.R: .....
test functions in sparkR.R: .1234Re-using existing Spark Context. Please stop SparkR with sparkR.stop() or restart R to create a new Spark Context
........Re-using existing Spark Context. Please stop SparkR with sparkR.stop() or restart R to create a new Spark Context
Re-using existing Spark Context. Please stop SparkR with sparkR.stop() or restart R to create a new Spark Context
..........Re-using existing Spark Context. Please stop SparkR with sparkR.stop() or restart R to create a new Spark Context
.
include an external JAR in SparkContext: ..
include R packages: Re-using existing Spark Context. Please stop SparkR with sparkR.stop() or restart R to create a new Spark Context

MLlib functions: Re-using existing Spark Context. Please stop SparkR with sparkR.stop() or restart R to create a new Spark Context
..........................May 25, 2016 7:42:26 PM INFO: org.apache.parquet.hadoop.codec.CodecConfig: Compression: SNAPPY
May 25, 2016 7:42:26 PM INFO: org.apache.parquet.hadoop.ParquetOutputFormat: Parquet block size to 134217728
May 25, 2016 7:42:26 PM INFO: org.apache.parquet.hadoop.ParquetOutputFormat: Parquet page size to 1048576
May 25, 2016 7:42:26 PM INFO: org.apache.parquet.hadoop.ParquetOutputFormat: Parquet dictionary page size to 1048576
May 25, 2016 7:42:26 PM INFO: org.apache.parquet.hadoop.ParquetOutputFormat: Dictionary is on
May 25, 2016 7:42:26 PM INFO: org.apache.parquet.hadoop.ParquetOutputFormat: Validation is off
May 25, 2016 7:42:26 PM INFO: org.apache.parquet.hadoop.ParquetOutputFormat: Writer version is: PARQUET_1_0
May 25, 2016 7:42:26 PM INFO: org.apache.parquet.hadoop.InternalParquetRecordWriter: Flushing mem columnStore to file. allocated memory: 65,622
May 25, 2016 7:42:26 PM INFO: org.apache.parquet.hadoop.ColumnChunkPageWriteStore: written 70B for [label] BINARY: 1 values, 21B raw, 23B comp, 1 pages, encodings: [BIT_PACKED, PLAIN, RLE]
May 25, 2016 7:42:26 PM INFO: org.apache.parquet.hadoop.ColumnChunkPageWriteStore: written 87B for [terms, list, element, list, element] BINARY: 2 values, 42B raw, 43B comp, 1 pages, encodings: [PLAIN, RLE]
May 25, 2016 7:42:26 PM INFO: org.apache.parquet.hadoop.ColumnChunkPageWriteStore: written 30B for [hasIntercept] BOOLEAN: 1 values, 1B raw, 3B comp, 1 pages, encodings: [BIT_PACKED, PLAIN]
May 25, 2016 7:42:27 PM INFO: org.apache.parquet.hadoop.ParquetFileReader: Initiating action with parallelism: 5
May 25, 2016 7:42:27 PM INFO: org.apache.parquet.hadoop.codec.CodecConfig: Compression: SNAPPY
May 25, 2016 7:42:27 PM INFO: org.apache.parquet.hadoop.ParquetOutputFormat: Parquet block size to 134217728
May 25, 2016 7:42:27 PM INFO: org.apache.parquet.hadoop.ParquetOutputFormat: Parquet page size to 1048576
May 25, 2016 7:42:27 PM INFO: org.apache.parquet.hadoop.ParquetOutputFormat: Parquet dictionary page size to 1048576
May 25, 2016 7:42:27 PM INFO: org.apache.parquet.hadoop.ParquetOutputFormat: Dictionary is on
May 25, 2016 7:42:27 PM INFO: org.apache.parquet.hadoop.ParquetOutputFormat: Validation is off
May 25, 2016 7:42:27 PM INFO: org.apache.parquet.hadoop.ParquetOutputFormat: Writer version is: PARQUET_1_0
May 25, 2016 7:42:27 PM INFO: org.apache.parquet.hadoop.InternalParquetRecordWriter: Flushing mem columnStore to file. allocated memory: 49
May 25, 2016 7:42:27 PM INFO: org.apache.parquet.hadoop.ColumnChunkPageWriteStore: written 90B for [labels, list, element] BINARY: 3 values, 50B raw, 50B comp, 1 pages, encodings: [PLAIN, RLE]
May 25, 2016 7:42:27 PM INFO: org.apache.parquet.hadoop.ParquetFileReader: Initiating action with parallelism: 5
May 25, 2016 7:42:28 PM INFO: org.apache.parquet.hadoop.codec.CodecConfig: Compression: SNAPPY
May 25, 2016 7:42:28 PM INFO: org.apache.parquet.hadoop.ParquetOutputFormat: Parquet block size to 134217728
May 25, 2016 7:42:28 PM INFO: org.apache.parquet.hadoop.ParquetOutputFormat: Parquet page size to 1048576
May 25, 2016 7:42:28 PM INFO: org.apache.parquet.hadoop.ParquetOutputFormat: Parquet dictionary page size to 1048576
May 25, 2016 7:42:28 PM INFO: org.apache.parquet.hadoop.ParquetOutputFormat: Dictionary is on
May 25, 2016 7:42:28 PM INFO: org.apache.parquet.hadoop.ParquetOutputFormat: Validation is off
May 25, 2016 7:42:28 PM INFO: org.apache.parquet.hadoop.ParquetOutputFormat: Writer version is: PARQUET_1_0
May 25, 2016 7:42:28 PM INFO: org.apache.parquet.hadoop.InternalParquetRecordWriter: Flushing mem columnStore to file. allocated memory: 92
May 25, 2016 7:42:28 PM INFO: org.apache.parquet.hadoop.ColumnChunkPageWriteStore: written 61B for [vectorCol] BINARY: 1 values, 18B raw, 20B comp, 1 pages, encodings: [BIT_PACKED, PLAIN, RLE]
May 25, 2016 7:42:28 PM INFO: org.apache.parquet.hadoop.ColumnChunkPageWriteStore: written 126B for [prefixesToRewrite, key_value, key] BINARY: 2 values, 61B raw, 61B comp, 1 pages, encodings: [PLAIN, RLE]
May 25, 2016 7:42:28 PM INFO: org.apache.parquet.hadoop.ColumnChunkPageWriteStore: written 58B for [prefixesToRewrite, key_value, value] BINARY: 2 values, 15B raw, 17B comp, 1 pages, encodings: [PLAIN_DICTIONARY, RLE], dic { 1 entries, 12B raw, 1B comp}
May 25, 2016 7:42:28 PM INFO: org.apache.parquet.hadoop.ParquetFileReader: Initiating action with parallelism: 5
May 25, 2016 7:42:29 PM INFO: org.apache.parquet.hadoop.codec.CodecConfig: Compression: SNAPPY
May 25, 2016 7:42:29 PM INFO: org.apache.parquet.hadoop.ParquetOutputFormat: Parquet block size to 134217728
May 25, 2016 7:42:29 PM INFO: org.apache.parquet.hadoop.ParquetOutputFormat: Parquet page size to 1048576
May 25, 2016 7:42:29 PM INFO: org.apache.parquet.hadoop.ParquetOutputFormat: Parquet dictionary page size to 1048576
May 25, 2016 7:42:29 PM INFO: org.apache.parquet.hadoop.ParquetOutputFormat: Dictionary is on
May 25, 2016 7:42:29 PM INFO: org.apache.parquet.hadoop.ParquetOutputFormat: Validation is off
May 25, 2016 7:42:29 PM INFO: org.apache.parquet.hadoop.ParquetOutputFormat: Writer version is: PARQUET_1_0
May 25, 2016 7:42:29 PM INFO: org.apache.parquet.hadoop.InternalParquetRecordWriter: Flushing mem columnStore to file. allocated memory: 54
May 25, 2016 7:42:29 PM INFO: org.apache.parquet.hadoop.ColumnChunkPageWriteStore: written 122B for [columnsToPrune, list, element] BINARY: 2 values, 59B raw, 59B comp, 1 pages, encodings: [PLAIN, RLE]
May 25, 2016 7:42:29 PM INFO: org.apache.parquet.hadoop.ParquetFileReader: Initiating action with parallelism: 5
May 25, 2016 7:42:29 PM INFO: org.apache.parquet.hadoop.codec.CodecConfig: Compression: SNAPPY
May 25, 2016 7:42:29 PM INFO: org.apache.parquet.hadoop.ParquetOutputFormat: Parquet block size to 134217728
May 25, 2016 7:42:29 PM INFO: org.apache.parquet.hadoop.ParquetOutputFormat: Parquet page size to 1048576
May 25, 2016 7:42:29 PM INFO: org.apache.parquet.hadoop.ParquetOutputFormat: Parquet dictionary page size to 1048576
May 25, 2016 7:42:29 PM INFO: org.apache.parquet.hadoop.ParquetOutputFormat: Dictionary is on
May 25, 2016 7:42:29 PM INFO: org.apache.parquet.hadoop.ParquetOutputFormat: Validation is off
May 25, 2016 7:42:29 PM INFO: org.apache.parquet.hadoop.ParquetOutputFormat: Writer version is: PARQUET_1_0
May 25, 2016 7:42:29 PM INFO: org.apache.parquet.hadoop.InternalParquetRecordWriter: Flushing mem columnStore to file. allocated memory: 56
May 25, 2016 7:42:29 PM INFO: org.apache.parquet.hadoop.ColumnChunkPageWriteStore: written 51B for [intercept] DOUBLE: 1 values, 8B raw, 10B comp, 1 pages, encodings: [BIT_PACKED, PLAIN]
May 25, 2016 7:42:29 PM INFO: org.apache.parquet.hadoop.ColumnChunkPageWriteStore: written 45B for [coefficients, type] INT32: 1 values, 10B raw, 12B comp, 1 pages, encodings: [BIT_PACKED, PLAIN, RLE]
May 25, 2016 7:42:29 PM INFO: org.apache.parquet.hadoop.ColumnChunkPageWriteStore: written 30B for [coefficients, size] INT32: 1 values, 7B raw, 9B comp, 1 pages, encodings: [BIT_PACKED, PLAIN, RLE]
May 25, 2016 7:42:29 PM INFO: org.apache.parquet.hadoop.ColumnChunkPageWriteStore: written 36B for [coefficients, indices, list, element] INT32: 1 values, 13B raw, 15B comp, 1 pages, encodings: [PLAIN, RLE]
May 25, 2016 7:42:29 PM INFO: org.apache.parquet.hadoop.ColumnChunkPageWriteStore: written 79B for [coefficients, values, list, element] DOUBLE: 3 values, 37B raw, 38B comp, 1 pages, encodings: [PLAIN, RLE]
May 25, 2016 7:42:29 PM INFO: org.apache.parquet.hadoop.ParquetFileReader: Initiating action with parallelism: 5
May 25, 2016 7:42:30 PM INFO: org.apache.parquet.hadoop.codec.CodecConfig: Compression: SNAPPY
May 25, 2016 7:42:30 PM INFO: org.apache.parquet.hadoop.ParquetOutputFormat: Parquet block size to 134217728
May 25, 2016 7:42:30 PM INFO: org.apache.parquet.hadoop.ParquetOutputFormat: Parquet page size to 1048576
May 25, 2016 7:42:30 PM INFO: org.apache.parquet.hadoop.ParquetOutputFormat: Parquet dictionary page size to 1048576
May 25, 2016 7:42:30 PM INFO: org.apache.parquet.hadoop.ParquetOutputFormat: Dictionary is on
May 25, 2016 7:42:30 PM INFO: org.apache.parquet.hadoop.ParquetOutputFormat: Validation is off
May 25, 2016 7:42:30 PM INFO: org.apache.parquet.had.........................................................................
parallelize() and collect(): Re-using existing Spark Context. Please stop SparkR with sparkR.stop() or restart R to create a new Spark Context
.............................
basic RDD functions: Re-using existing Spark Context. Please stop SparkR with sparkR.stop() or restart R to create a new Spark Context
............................................................................................................................................................................................................................................................................................................................................................................................................................................
SerDe functionality: Re-using existing Spark Context. Please stop SparkR with sparkR.stop() or restart R to create a new Spark Context
...................
partitionBy, groupByKey, reduceByKey etc.: Re-using existing Spark Context. Please stop SparkR with sparkR.stop() or restart R to create a new Spark Context
....................
SparkSQL functions: Re-using existing Spark Context. Please stop SparkR with sparkR.stop() or restart R to create a new Spark Context
.......................................................S..................................................................................................................................................................................................................................................5........S..................................................................................................................................................................................................................................................................................................................................................................S
tests RDD function take(): Re-using existing Spark Context. Please stop SparkR with sparkR.stop() or restart R to create a new Spark Context
................
the textFile() function: Re-using existing Spark Context. Please stop SparkR with sparkR.stop() or restart R to create a new Spark Context
.............
functions in utils.R: Re-using existing Spark Context. Please stop SparkR with sparkR.stop() or restart R to create a new Spark Context
.................................
test the support SparkR on Windows: .

Skipped ------------------------------------------------------------------------
1. create DataFrame from RDD (@test_sparkSQL.R#166) - Hive is not build with SparkSQL, skipped

2. test HiveContext (@test_sparkSQL.R#957) - Hive is not build with SparkSQL, skipped

3. Window functions on a DataFrame (@test_sparkSQL.R#2142) - Hive is not build with SparkSQL, skipped

Failed -------------------------------------------------------------------------
1. Failure: Check masked functions (@test_context.R#30) ------------------------
length(maskedBySparkR) not equal to length(namesOfMasked).
1/1 mismatches
[1] 22 - 20 == 2


2. Failure: Check masked functions (@test_context.R#31) ------------------------
sort(maskedBySparkR) not equal to sort(namesOfMasked).
Lengths differ: 22 vs 20


3. Failure: Check masked functions (@test_context.R#40) ------------------------
length(maskedCompletely) not equal to length(namesOfMaskedCompletely).
1/1 mismatches
[1] 5 - 3 == 2


4. Failure: Check masked functions (@test_context.R#41) ------------------------
sort(maskedCompletely) not equal to sort(namesOfMaskedCompletely).
Lengths differ: 5 vs 3


5. Error: subsetting (@test_sparkSQL.R#922) ------------------------------------
argument "subset" is missing, with no default
1: subset(df, select = "name", drop = F) at C:/Users/IEUser/workspace/spark/R/lib/SparkR/tests/testthat/test_sparkSQL.R:922
2: subset(df, select = "name", drop = F)
3: .local(x, ...)
4: x[subset, select, drop = drop]

DONE ===========================================================================
Error: Test failures
Execution halted