[jira] [Created] (SPARK-39959) Recover SparkR CRAN check in GitHub Actions CI

["Hyukjin Kwon (Jira)" <ji...@apache.org>]

Hyukjin Kwon created SPARK-39959:
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             Summary: Recover SparkR CRAN check in GitHub Actions CI
                 Key: SPARK-39959
                 URL: https://issues.apache.org/jira/browse/SPARK-39959
             Project: Spark
          Issue Type: Test
          Components: Project Infra, SparkR
    Affects Versions: 3.4.0
         Environment: {code}
cd R
./install-dev.sh
 ./check-cran.sh
{code}

fails (I think with latest dependences of R documentation build, e.g., rmarkdown or roxygen2) as below in the current CI (https://github.com/apache/spark/runs/7623722912?check_suite_focus=true)

{code}
* checking for missing documentation entries ... WARNING
Undocumented code objects:
  ‘%<=>%’ ‘add_months’ ‘agg’ ‘approxCountDistinct’ ‘approxQuantile’
  ‘approx_count_distinct’ ‘arrange’ ‘array_aggregate’ ‘array_contains’
  ‘array_distinct’ ‘array_except’ ‘array_exists’ ‘array_filter’
  ‘array_forall’ ‘array_intersect’ ‘array_join’ ‘array_max’ ‘array_min’
  ‘array_position’ ‘array_remove’ ‘array_repeat’ ‘array_sort’
  ‘array_to_vector’ ‘array_transform’ ‘array_union’ ‘arrays_overlap’
  ‘arrays_zip’ ‘arrays_zip_with’ ‘as.DataFrame’ ‘as.data.frame’ ‘asc’
  ‘asc_nulls_first’ ‘asc_nulls_last’ ‘ascii’ ‘assert_true’ ‘avg’
  ‘awaitTermination’ ‘base64’ ‘between’ ‘bin’ ‘bit_length’ ‘bitwiseNOT’
  ‘bitwise_not’ ‘broadcast’ ‘bround’ ‘cache’ ‘cacheTable’
  ‘cancelJobGroup’ ‘cast’ ‘cbrt’ ‘ceil’ ‘checkpoint’ ‘clearCache’
  ‘clearJobGroup’ ‘coalesce’ ‘collect’ ‘collect_list’ ‘collect_set’
  ‘colnames’ ‘colnames<-’ ‘coltypes’ ‘coltypes<-’ ‘column’ ‘columns’
  ‘concat’ ‘concat_ws’ ‘contains’ ‘conv’ ‘corr’ ‘cot’ ‘count’
  ‘countDistinct’ ‘count_distinct’ ‘cov’ ‘covar_pop’ ‘covar_samp’
  ‘crc32’ ‘createDataFrame’ ‘createExternalTable’
  ‘createOrReplaceTempView’ ‘createTable’ ‘create_array’ ‘create_map’
  ‘crossJoin’ ‘crosstab’ ‘csc’ ‘cube’ ‘cume_dist’ ‘currentCatalog’
  ‘currentDatabase’ ‘current_date’ ‘current_timestamp’ ‘dapply’
  ‘dapplyCollect’ ‘databaseExists’ ‘date_add’ ‘date_format’ ‘date_sub’
  ‘date_trunc’ ‘datediff’ ‘dayofmonth’ ‘dayofweek’ ‘dayofyear’ ‘decode’
  ‘degrees’ ‘dense_rank’ ‘desc’ ‘desc_nulls_first’ ‘desc_nulls_last’
  ‘describe’ ‘distinct’ ‘drop’ ‘dropDuplicates’ ‘dropFields’
  ‘dropTempTable’ ‘dropTempView’ ‘dropna’ ‘dtypes’ ‘element_at’
  ‘encode’ ‘endsWith’ ‘except’ ‘exceptAll’ ‘explain’ ‘explode’
  ‘explode_outer’ ‘expr’ ‘fillna’ ‘filter’ ‘first’ ‘flatten’
  ‘format_number’ ‘format_string’ ‘freqItems’ ‘from_avro’ ‘from_csv’
  ‘from_json’ ‘from_unixtime’ ‘from_utc_timestamp’ ‘functionExists’
  ‘gapply’ ‘gapplyCollect’ ‘getDatabase’ ‘getField’ ‘getFunc’ ‘getItem’
  ‘getLocalProperty’ ‘getNumPartitions’ ‘getTable’ ‘greatest’ ‘groupBy’
  ‘group_by’ ‘grouping_bit’ ‘grouping_id’ ‘hash’ ‘hex’ ‘hint’
  ‘histogram’ ‘hour’ ‘hypot’ ‘ilike’ ‘initcap’ ‘input_file_name’
  ‘insertInto’ ‘install.spark’ ‘instr’ ‘intersect’ ‘intersectAll’
  ‘isActive’ ‘isLocal’ ‘isNaN’ ‘isNotNull’ ‘isNull’ ‘isStreaming’
  ‘isnan’ ‘join’ ‘kurtosis’ ‘lag’ ‘last’ ‘lastProgress’ ‘last_day’
  ‘lead’ ‘least’ ‘levenshtein’ ‘like’ ‘limit’ ‘listCatalogs’
  ‘listColumns’ ‘listDatabases’ ‘listFunctions’ ‘listTables’ ‘lit’
  ‘loadDF’ ‘localCheckpoint’ ‘locate’ ‘lower’ ‘lpad’ ‘ltrim’
  ‘make_date’ ‘map_concat’ ‘map_entries’ ‘map_filter’ ‘map_from_arrays’
  ‘map_from_entries’ ‘map_keys’ ‘map_values’ ‘map_zip_with’ ‘max_by’
  ‘md5’ ‘min_by’ ‘minute’ ‘monotonically_increasing_id’ ‘month’
  ‘months_between’ ‘mutate’ ‘n’ ‘n_distinct’ ‘na.omit’ ‘nanvl’ ‘negate’
  ‘next_day’ ‘not’ ‘nth_value’ ‘ntile’ ‘octet_length’ ‘orderBy’
  ‘otherwise’ ‘over’ ‘overlay’ ‘partitionBy’ ‘percent_rank’
  ‘percentile_approx’ ‘persist’ ‘pivot’ ‘pmod’ ‘posexplode’
  ‘posexplode_outer’ ‘predict’ ‘print.jobj’ ‘print.structField’
  ‘print.structType’ ‘print.summary.DecisionTreeClassificationModel’
  ‘print.summary.DecisionTreeRegressionModel’
  ‘print.summary.GBTClassificationModel’
  ‘print.summary.GBTRegressionModel’
  ‘print.summary.GeneralizedLinearRegressionModel’
  ‘print.summary.KSTest’
  ‘print.summary.RandomForestClassificationModel’
  ‘print.summary.RandomForestRegressionModel’ ‘printSchema’ ‘product’
  ‘quarter’ ‘queryName’ ‘radians’ ‘raise_error’ ‘rand’ ‘randn’
  ‘randomSplit’ ‘rangeBetween’ ‘rank’ ‘rbind’ ‘read.df’ ‘read.jdbc’
  ‘read.json’ ‘read.ml’ ‘read.orc’ ‘read.parquet’ ‘read.stream’
  ‘read.text’ ‘recoverPartitions’ ‘refreshByPath’ ‘refreshTable’
  ‘regexp_extract’ ‘regexp_replace’ ‘registerTempTable’ ‘rename’
  ‘repartition’ ‘repartitionByRange’ ‘repeat_string’ ‘reverse’ ‘rint’
  ‘rlike’ ‘rollup’ ‘row_number’ ‘rowsBetween’ ‘rpad’ ‘rtrim’ ‘sample’
  ‘sampleBy’ ‘sample_frac’ ‘saveAsTable’ ‘saveDF’ ‘schema’
  ‘schema_of_csv’ ‘schema_of_json’ ‘sd’ ‘sec’ ‘second’ ‘select’
  ‘selectExpr’ ‘setCheckpointDir’ ‘setCurrentCatalog’
  ‘setCurrentDatabase’ ‘setJobDescription’ ‘setJobGroup’
  ‘setLocalProperty’ ‘setLogLevel’ ‘sha1’ ‘sha2’ ‘shiftLeft’
  ‘shiftRight’ ‘shiftRightUnsigned’ ‘shiftleft’ ‘shiftright’
  ‘shiftrightunsigned’ ‘showDF’ ‘shuffle’ ‘signum’ ‘size’ ‘skewness’
  ‘slice’ ‘sort_array’ ‘soundex’ ‘spark.addFile’ ‘spark.als’
  ‘spark.assignClusters’ ‘spark.associationRules’
  ‘spark.bisectingKmeans’ ‘spark.decisionTree’
  ‘spark.findFrequentSequentialPatterns’ ‘spark.fmClassifier’
  ‘spark.fmRegressor’ ‘spark.fpGrowth’ ‘spark.freqItemsets’
  ‘spark.gaussianMixture’ ‘spark.gbt’ ‘spark.getSparkFiles’
  ‘spark.getSparkFilesRootDirectory’ ‘spark.glm’ ‘spark.isoreg’
  ‘spark.kmeans’ ‘spark.kstest’ ‘spark.lapply’ ‘spark.lda’ ‘spark.lm’
  ‘spark.logit’ ‘spark.mlp’ ‘spark.naiveBayes’ ‘spark.perplexity’
  ‘spark.posterior’ ‘spark.randomForest’ ‘spark.survreg’
  ‘spark.svmLinear’ ‘sparkR.callJMethod’ ‘sparkR.callJStatic’
  ‘sparkR.conf’ ‘sparkR.init’ ‘sparkR.newJObject’ ‘sparkR.session’
  ‘sparkR.session.stop’ ‘sparkR.stop’ ‘sparkR.uiWebUrl’
  ‘sparkR.version’ ‘sparkRHive.init’ ‘sparkRSQL.init’
  ‘spark_partition_id’ ‘split_string’ ‘sql’ ‘startsWith’ ‘status’
  ‘stddev’ ‘stddev_pop’ ‘stddev_samp’ ‘stopQuery’ ‘storageLevel’
  ‘struct’ ‘structField’ ‘structField.character’ ‘structField.jobj’
  ‘structType’ ‘structType.character’ ‘structType.jobj’
  ‘structType.structField’ ‘subset’ ‘substring_index’ ‘sumDistinct’
  ‘sum_distinct’ ‘summarize’ ‘summary’ ‘tableExists’ ‘tableNames’
  ‘tableToDF’ ‘tables’ ‘take’ ‘timestamp_seconds’ ‘toDegrees’ ‘toJSON’
  ‘toRadians’ ‘to_avro’ ‘to_csv’ ‘to_date’ ‘to_json’ ‘to_timestamp’
  ‘to_utc_timestamp’ ‘transform’ ‘transform_keys’ ‘transform_values’
  ‘translate’ ‘trim’ ‘unbase64’ ‘uncacheTable’ ‘unhex’ ‘union’
  ‘unionAll’ ‘unionByName’ ‘unix_timestamp’ ‘unpersist’ ‘upper’ ‘var’
  ‘var_pop’ ‘var_samp’ ‘variance’ ‘vector_to_array’ ‘weekofyear’ ‘when’
  ‘where’ ‘window’ ‘windowOrderBy’ ‘windowPartitionBy’ ‘withColumn’
  ‘withColumnRenamed’ ‘withField’ ‘withWatermark’ ‘write.df’
  ‘write.jdbc’ ‘write.json’ ‘write.ml’ ‘write.orc’ ‘write.parquet’
  ‘write.stream’ ‘write.text’ ‘xxhash64’ ‘year’
{code}
            Reporter: Hyukjin Kwon






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