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v4.0.2
R/pkg/NAMESPACE
585 строк
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Wenchen Fan
Revert "[SPARK-47007][SQL][PYTHON][R][CONNECT] Add the `map_sort` function"
21 мар 2024, 05:50
21 мар 2024, 05:50
bb3e275
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# # Licensed to the Apache Software Foundation (ASF) under one or more # contributor license agreements. See the NOTICE file distributed with # this work for additional information regarding copyright ownership. # The ASF licenses this file to You under the Apache License, Version 2.0 # (the "License"); you may not use this file except in compliance with # the License. You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # # Imports from base R # Do not include stats:: "rpois", "runif" - causes error at runtime importFrom("methods", "setGeneric", "setMethod", "setOldClass") importFrom("methods", "is", "new", "signature", "show") importFrom("stats", "gaussian", "setNames") importFrom("utils", "download.file", "object.size", "packageVersion", "tail", "untar") # Disable native libraries till we figure out how to package it # See SPARKR-7839 #useDynLib(SparkR, stringHashCode) # S3 methods exported export("sparkR.session") export("sparkR.init") export("sparkR.session.stop") export("sparkR.stop") export("sparkR.conf") export("sparkR.version") export("sparkR.uiWebUrl") export("print.jobj") export("sparkR.newJObject") export("sparkR.callJMethod") export("sparkR.callJStatic") export("install.spark") export("sparkRSQL.init", "sparkRHive.init") # MLlib integration exportMethods("glm", "spark.glm", "predict", "summary", "spark.kmeans", "fitted", "spark.mlp", "spark.naiveBayes", "spark.survreg", "spark.lda", "spark.posterior", "spark.perplexity", "spark.isoreg", "spark.gaussianMixture", "spark.als", "spark.kstest", "spark.logit", "spark.decisionTree", "spark.randomForest", "spark.gbt", "spark.bisectingKmeans", "spark.svmLinear", "spark.fpGrowth", "spark.freqItemsets", "spark.associationRules", "spark.findFrequentSequentialPatterns", "spark.assignClusters", "spark.fmClassifier", "spark.lm", "spark.fmRegressor") # Job group and job tag lifecycle management methods export("setJobGroup", "clearJobGroup", "cancelJobGroup", "setJobDescription", "setInterruptOnCancel", "setLocalProperty", "getLocalProperty", "addJobTag", "removeJobTag", "getJobTags", "clearJobTags", "cancelJobsWithTag") # Export Utility methods export("setLogLevel") exportClasses("SparkDataFrame") exportMethods("arrange", "as.data.frame", "attach", "broadcast", "cache", "checkpoint", "coalesce", "collect", "colnames", "colnames<-", "coltypes", "coltypes<-", "columns", "count", "cov", "corr", "covar_samp", "covar_pop", "createOrReplaceTempView", "crossJoin", "crosstab", "cube", "dapply", "dapplyCollect", "describe", "dim", "distinct", "drop", "dropDuplicates", "dropna", "dtypes", "except", "exceptAll", "explain", "fillna", "filter", "first", "freqItems", "gapply", "gapplyCollect", "getNumPartitions", "group_by", "groupBy", "head", "hint", "insertInto", "intersect", "intersectAll", "isLocal", "isStreaming", "join", "limit", "localCheckpoint", "melt", "merge", "mutate", "na.omit", "names", "names<-", "ncol", "nrow", "orderBy", "persist", "printSchema", "randomSplit", "rbind", "registerTempTable", "rename", "repartition", "repartitionByRange", "rollup", "sample", "sample_frac", "sampleBy", "saveAsTable", "saveDF", "schema", "select", "selectExpr", "show", "showDF", "storageLevel", "subset", "summarize", "summary", "take", "toJSON", "transform", "union", "unionAll", "unionByName", "unique", "unpersist", "unpivot", "where", "with", "withColumn", "withColumnRenamed", "withWatermark", "write.df", "write.jdbc", "write.json", "write.orc", "write.parquet", "write.stream", "write.text", "write.ml") exportClasses("Column") exportMethods("%<=>%", "%in%", "abs", "acos", "acosh", "add_months", "alias", "approx_count_distinct", "approxCountDistinct", "approxQuantile", "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", "arrays_overlap", "array_union", "arrays_zip", "arrays_zip_with", "asc", "asc_nulls_first", "asc_nulls_last", "ascii", "asin", "asinh", "assert_true", "atan", "atanh", "atan2", "avg", "base64", "between", "bin", "bit_length", "bitwise_not", "bitwiseNOT", "bround", "cast", "cbrt", "ceil", "ceiling", "collate", "collation", "collect_list", "collect_set", "column", "concat", "concat_ws", "contains", "conv", "cos", "cosh", "cot", "count", "count_distinct", "countDistinct", "crc32", "create_array", "create_map", "csc", "current_date", "current_timestamp", "hash", "cume_dist", "date_add", "date_format", "date_sub", "date_trunc", "datediff", "dayofmonth", "dayofweek", "dayofyear", "decode", "degrees", "dense_rank", "desc", "desc_nulls_first", "desc_nulls_last", "dropFields", "element_at", "encode", "endsWith", "exp", "explode", "explode_outer", "expm1", "expr", "factorial", "first", "flatten", "floor", "format_number", "format_string", "from_avro", "from_csv", "from_json", "from_unixtime", "from_utc_timestamp", "getField", "getItem", "greatest", "grouping_bit", "grouping_id", "hex", "histogram", "hour", "hypot", "ifelse", "ilike", "initcap", "input_file_name", "instr", "isNaN", "isNotNull", "isNull", "is.nan", "isnan", "kurtosis", "lag", "last", "last_day", "lead", "least", "length", "levenshtein", "like", "lit", "ln", "locate", "log", "log10", "log1p", "log2", "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", "max_by", "md5", "mean", "min", "min_by", "minute", "monotonically_increasing_id", "month", "months_between", "n", "n_distinct", "nanvl", "negate", "negative", "next_day", "not", "nth_value", "ntile", "octet_length", "otherwise", "over", "overlay", "percent_rank", "percentile_approx", "pmod", "posexplode", "posexplode_outer", "positive", "product", "quarter", "radians", "raise_error", "rand", "randn", "rank", "regexp_extract", "regexp_replace", "repeat_string", "reverse", "rint", "rlike", "round", "row_number", "rpad", "rtrim", "schema_of_csv", "schema_of_json", "sec", "second", "sha1", "sha2", "shiftLeft", "shiftleft", "shiftRight", "shiftright", "shiftRightUnsigned", "shiftrightunsigned", "shuffle", "sd", "sign", "signum", "sin", "sinh", "size", "skewness", "slice", "sort_array", "soundex", "spark_partition_id", "split_string", "std", "stddev", "stddev_pop", "stddev_samp", "struct", "sqrt", "startsWith", "substr", "substring_index", "sum", "sum_distinct", "sumDistinct", "tan", "tanh", "timestamp_seconds", "toDegrees", "toRadians", "to_avro", "to_csv", "to_date", "to_json", "to_timestamp", "to_utc_timestamp", "translate", "transform_keys", "transform_values", "trim", "trunc", "unbase64", "unhex", "unix_timestamp", "upper", "var", "variance", "var_pop", "var_samp", "vector_to_array", "weekofyear", "when", "width_bucket", "window", "withField", "xxhash64", "year") exportClasses("GroupedData") exportMethods("agg") exportMethods("pivot") export("as.DataFrame", "cacheTable", "clearCache", "createDataFrame", "createExternalTable", "createTable", "currentCatalog", "currentDatabase", "databaseExists", "dropTempTable", "dropTempView", "functionExists", "getDatabase", "getFunc", "getTable", "listCatalogs", "listColumns", "listDatabases", "listFunctions", "listTables", "loadDF", "read.df", "read.jdbc", "read.json", "read.orc", "read.parquet", "read.stream", "read.text", "recoverPartitions", "refreshByPath", "refreshTable", "setCheckpointDir", "setCurrentCatalog", "setCurrentDatabase", "spark.lapply", "spark.addFile", "spark.getSparkFilesRootDirectory", "spark.getSparkFiles", "sql", "str", "tableExists", "tableToDF", "tableNames", "tables", "uncacheTable", "print.summary.GeneralizedLinearRegressionModel", "read.ml", "print.summary.KSTest", "print.summary.DecisionTreeRegressionModel", "print.summary.DecisionTreeClassificationModel", "print.summary.RandomForestRegressionModel", "print.summary.RandomForestClassificationModel", "print.summary.GBTRegressionModel", "print.summary.GBTClassificationModel") export("structField", "structField.jobj", "structField.character", "print.structField", "structType", "structType.character", "structType.jobj", "structType.structField", "print.structType") exportClasses("WindowSpec") export("partitionBy", "rowsBetween", "rangeBetween") export("windowPartitionBy", "windowOrderBy") exportClasses("StreamingQuery") export("awaitTermination", "isActive", "lastProgress", "queryName", "status", "stopQuery") S3method(print, jobj) S3method(print, structField) S3method(print, structType) S3method(print, summary.GeneralizedLinearRegressionModel) S3method(print, summary.KSTest) S3method(print, summary.DecisionTreeRegressionModel) S3method(print, summary.DecisionTreeClassificationModel) S3method(print, summary.RandomForestRegressionModel) S3method(print, summary.RandomForestClassificationModel) S3method(print, summary.GBTRegressionModel) S3method(print, summary.GBTClassificationModel) S3method(structField, character) S3method(structField, jobj) S3method(structType, character) S3method(structType, jobj) S3method(structType, structField)