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* [SPARK-12034][SPARKR] Eliminate warnings in SparkR test cases.Sun Rui2015-12-071-1722/+0
| | | | | | | | | | | | | | This PR: 1. Suppress all known warnings. 2. Cleanup test cases and fix some errors in test cases. 3. Fix errors in HiveContext related test cases. These test cases are actually not run previously due to a bug of creating TestHiveContext. 4. Support 'testthat' package version 0.11.0 which prefers that test cases be under 'tests/testthat' 5. Make sure the default Hadoop file system is local when running test cases. 6. Turn on warnings into errors. Author: Sun Rui <rui.sun@intel.com> Closes #10030 from sun-rui/SPARK-12034.
* [SPARK-12044][SPARKR] Fix usage of isnan, isNaNYanbo Liang2015-12-051-1/+5
| | | | | | | | | | | | 1, Add ```isNaN``` to ```Column``` for SparkR. ```Column``` should has three related variable functions: ```isNaN, isNull, isNotNull```. 2, Replace ```DataFrame.isNaN``` with ```DataFrame.isnan``` at SparkR side. Because ```DataFrame.isNaN``` has been deprecated and will be removed at Spark 2.0. <del>3, Add ```isnull``` to ```DataFrame``` for SparkR. ```DataFrame``` should has two related functions: ```isnan, isnull```.<del> cc shivaram sun-rui felixcheung Author: Yanbo Liang <ybliang8@gmail.com> Closes #10037 from yanboliang/spark-12044.
* [SPARK-11715][SPARKR] Add R support corr for Column Aggregrationfelixcheung2015-12-051-1/+1
| | | | | | | | Need to match existing method signature Author: felixcheung <felixcheung_m@hotmail.com> Closes #9680 from felixcheung/rcorr.
* [SPARK-11774][SPARKR] Implement struct(), encode(), decode() functions in ↵Sun Rui2015-12-051-6/+31
| | | | | | | | SparkR. Author: Sun Rui <rui.sun@intel.com> Closes #9804 from sun-rui/SPARK-11774.
* [SPARK-12104][SPARKR] collect() does not handle multiple columns with same name.Sun Rui2015-12-031-0/+6
| | | | | | Author: Sun Rui <rui.sun@intel.com> Closes #10118 from sun-rui/SPARK-12104.
* [SPARK-11781][SPARKR] SparkR has problem in inferring type of raw type.Sun Rui2015-11-291-0/+6
| | | | | | Author: Sun Rui <rui.sun@intel.com> Closes #9769 from sun-rui/SPARK-11781.
* [SPARK-9319][SPARKR] Add support for setting column names, typesfelixcheung2015-11-281-1/+39
| | | | | | | | | | | | | Add support for for colnames, colnames<-, coltypes<- Also added tests for names, names<- which have no test previously. I merged with PR 8984 (coltypes). Clicked the wrong thing, crewed up the PR. Recreated it here. Was #9218 shivaram sun-rui Author: felixcheung <felixcheung_m@hotmail.com> Closes #9654 from felixcheung/colnamescoltypes.
* [SPARK-12029][SPARKR] Improve column functions signature, param check, ↵felixcheung2015-11-281-4/+5
| | | | | | | | | | tests, fix doc and add examples shivaram sun-rui Author: felixcheung <felixcheung_m@hotmail.com> Closes #10019 from felixcheung/rfunctionsdoc.
* [SPARK-12025][SPARKR] Rename some window rank function names for SparkRYanbo Liang2015-11-271-2/+2
| | | | | | | | | | | | | | Change ```cumeDist -> cume_dist, denseRank -> dense_rank, percentRank -> percent_rank, rowNumber -> row_number``` at SparkR side. There are two reasons that we should make this change: * We should follow the [naming convention rule of R](http://www.inside-r.org/node/230645) * Spark DataFrame has deprecated the old convention (such as ```cumeDist```) and will remove it in Spark 2.0. It's better to fix this issue before 1.6 release, otherwise we will make breaking API change. cc shivaram sun-rui Author: Yanbo Liang <ybliang8@gmail.com> Closes #10016 from yanboliang/SPARK-12025.
* [SPARK-11339][SPARKR] Document the list of functions in R base package that ↵felixcheung2015-11-181-1/+32
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | are masked by functions with same name in SparkR Added tests for function that are reported as masked, to make sure the base:: or stats:: function can be called. For those we can't call, added them to SparkR programming guide. It would seem to me `table, sample, subset, filter, cov` not working are not actually expected - I investigated/experimented with them but couldn't get them to work. It looks like as they are defined in base or stats they are missing the S3 generic, eg. ``` > methods("transform") [1] transform,ANY-method transform.data.frame [3] transform,DataFrame-method transform.default see '?methods' for accessing help and source code > methods("subset") [1] subset.data.frame subset,DataFrame-method subset.default [4] subset.matrix see '?methods' for accessing help and source code Warning message: In .S3methods(generic.function, class, parent.frame()) : function 'subset' appears not to be S3 generic; found functions that look like S3 methods ``` Any idea? More information on masking: http://www.ats.ucla.edu/stat/r/faq/referencing_objects.htm http://www.sfu.ca/~sweldon/howTo/guide4.pdf This is what the output doc looks like (minus css): ![image](https://cloud.githubusercontent.com/assets/8969467/11229714/2946e5de-8d4d-11e5-94b0-dda9696b6fdd.png) Author: felixcheung <felixcheung_m@hotmail.com> Closes #9785 from felixcheung/rmasked.
* [SPARK-11773][SPARKR] Implement collection functions in SparkR.Sun Rui2015-11-181-0/+10
| | | | | | Author: Sun Rui <rui.sun@intel.com> Closes #9764 from sun-rui/SPARK-11773.
* [SPARK-11281][SPARKR] Add tests covering the issue.zero3232015-11-181-3/+7
| | | | | | | | The goal of this PR is to add tests covering the issue to ensure that is was resolved by [SPARK-11086](https://issues.apache.org/jira/browse/SPARK-11086). Author: zero323 <matthew.szymkiewicz@gmail.com> Closes #9743 from zero323/SPARK-11281-tests.
* [SPARK-11086][SPARKR] Use dropFactors column-wise instead of nested loop ↵zero3232015-11-151-0/+16
| | | | | | | | | | | | | | | | when createDataFrame Use `dropFactors` column-wise instead of nested loop when `createDataFrame` from a `data.frame` At this moment SparkR createDataFrame is using nested loop to convert factors to character when called on a local data.frame. It works but is incredibly slow especially with data.table (~ 2 orders of magnitude compared to PySpark / Pandas version on a DateFrame of size 1M rows x 2 columns). A simple improvement is to apply `dropFactor `column-wise and then reshape output list. It should at least partially address [SPARK-8277](https://issues.apache.org/jira/browse/SPARK-8277). Author: zero323 <matthew.szymkiewicz@gmail.com> Closes #9099 from zero323/SPARK-11086.
* [SPARK-11420] Updating Stddev support via Imperative AggregateJihongMa2015-11-121-2/+2
| | | | | | | | switched stddev support from DeclarativeAggregate to ImperativeAggregate. Author: JihongMa <linlin200605@gmail.com> Closes #9380 from JihongMA/SPARK-11420.
* [SPARK-11468] [SPARKR] add stddev/variance agg functions for Columnfelixcheung2015-11-101-16/+67
| | | | | | | | | | Checked names, none of them should conflict with anything in base shivaram davies rxin Author: felixcheung <felixcheung_m@hotmail.com> Closes #9489 from felixcheung/rstddev.
* [SPARK-10863][SPARKR] Method coltypes() (New version)Oscar D. Lara Yejas2015-11-101-1/+23
| | | | | | | | This is a follow up on PR #8984, as the corresponding branch for such PR was damaged. Author: Oscar D. Lara Yejas <olarayej@mail.usf.edu> Closes #9579 from olarayej/SPARK-10863_NEW14.
* [SPARK-9865][SPARKR] Flaky SparkR test: test_sparkSQL.R: sample on a DataFramefelixcheung2015-11-091-2/+2
| | | | | | | | | | | | | Make sample test less flaky by setting the seed Tested with ``` repeat { if (count(sample(df, FALSE, 0.1)) == 3) { break } } ``` Author: felixcheung <felixcheung_m@hotmail.com> Closes #9549 from felixcheung/rsample.
* [SPARK-10116][CORE] XORShiftRandom.hashSeed is random in high bitsImran Rashid2015-11-061-4/+4
| | | | | | | | | | | | https://issues.apache.org/jira/browse/SPARK-10116 This is really trivial, just happened to notice it -- if `XORShiftRandom.hashSeed` is really supposed to have random bits throughout (as the comment implies), it needs to do something for the conversion to `long`. mengxr mkolod Author: Imran Rashid <irashid@cloudera.com> Closes #8314 from squito/SPARK-10116.
* [SPARK-11260][SPARKR] with() function supportadrian5552015-11-051-0/+9
| | | | | | | Author: adrian555 <wzhuang@us.ibm.com> Author: Adrian Zhuang <adrian555@users.noreply.github.com> Closes #9443 from adrian555/with.
* [SPARK-11210][SPARKR] Add window functions into SparkR [step 2].Sun Rui2015-10-301-0/+5
| | | | | | Author: Sun Rui <rui.sun@intel.com> Closes #9196 from sun-rui/SPARK-11210.
* [SPARK-11209][SPARKR] Add window functions into SparkR [step 1].Sun Rui2015-10-261-0/+2
| | | | | | Author: Sun Rui <rui.sun@intel.com> Closes #9193 from sun-rui/SPARK-11209.
* [SPARK-10979][SPARKR] Sparkrmerge: Add merge to DataFrame with R signatureNarine Kokhlikyan2015-10-261-4/+33
| | | | | | | | | Add merge function to DataFrame, which supports R signature. https://stat.ethz.ch/R-manual/R-devel/library/base/html/merge.html Author: Narine Kokhlikyan <narine.kokhlikyan@gmail.com> Closes #9012 from NarineK/sparkrmerge.
* [SPARK-11197][SQL] run SQL on files directlyDavies Liu2015-10-211-1/+1
| | | | | | | | | | | | This PR introduce a new feature to run SQL directly on files without create a table, for example: ``` select id from json.`path/to/json/files` as j ``` Author: Davies Liu <davies@databricks.com> Closes #9173 from davies/source.
* [SPARK-10996] [SPARKR] Implement sampleBy() in DataFrameStatFunctions.Sun Rui2015-10-131-0/+10
| | | | | | Author: Sun Rui <rui.sun@intel.com> Closes #9023 from sun-rui/SPARK-10996.
* [SPARK-10981] [SPARKR] SparkR Join improvementsMonica Liu2015-10-131-2/+25
| | | | | | | | | | I was having issues with collect() and orderBy() in Spark 1.5.0 so I used the DataFrame.R file and test_sparkSQL.R file from the Spark 1.5.1 download. I only modified the join() function in DataFrame.R to include "full", "fullouter", "left", "right", and "leftsemi" and added corresponding test cases in the test for join() and merge() in test_sparkSQL.R file. Pull request because I filed this JIRA bug report: https://issues.apache.org/jira/browse/SPARK-10981 Author: Monica Liu <liu.monica.f@gmail.com> Closes #9029 from mfliu/master.
* [SPARK-10913] [SPARKR] attach() function supportAdrian Zhuang2015-10-131-0/+20
| | | | | | | | | Bring the change code up to date. Author: Adrian Zhuang <adrian555@users.noreply.github.com> Author: adrian555 <wzhuang@us.ibm.com> Closes #9031 from adrian555/attach2.
* [SPARK-10888] [SPARKR] Added as.DataFrame as a synonym to createDataFrameNarine Kokhlikyan2015-10-131-0/+15
| | | | | | | | | as.DataFrame is more a R-style like signature. Also, I'd like to know if we could make the context, e.g. sqlContext global, so that we do not have to specify it as an argument, when we each time create a dataframe. Author: Narine Kokhlikyan <narine.kokhlikyan@gmail.com> Closes #8952 from NarineK/sparkrasDataFrame.
* [SPARK-10051] [SPARKR] Support collecting data of StructType in DataFrameSun Rui2015-10-131-22/+29
| | | | | | | | | | | | Two points in this PR: 1. Originally thought was that a named R list is assumed to be a struct in SerDe. But this is problematic because some R functions will implicitly generate named lists that are not intended to be a struct when transferred by SerDe. So SerDe clients have to explicitly mark a names list as struct by changing its class from "list" to "struct". 2. SerDe is in the Spark Core module, and data of StructType is represented as GenricRow which is defined in Spark SQL module. SerDe can't import GenricRow as in maven build Spark SQL module depends on Spark Core module. So this PR adds a registration hook in SerDe to allow SQLUtils in Spark SQL module to register its functions for serialization and deserialization of StructType. Author: Sun Rui <rui.sun@intel.com> Closes #8794 from sun-rui/SPARK-10051.
* [SPARK-10079] [SPARKR] Make 'column' and 'col' functions be S4 functions.Sun Rui2015-10-091-2/+2
| | | | | | | | | | | 1. Add a "col" function into DataFrame. 2. Move the current "col" function in Column.R to functions.R, convert it to S4 function. 3. Add a s4 "column" function in functions.R. 4. Convert the "column" function in Column.R to S4 function. This is for private use. Author: Sun Rui <rui.sun@intel.com> Closes #8864 from sun-rui/SPARK-10079.
* [SPARK-10905] [SPARKR] Export freqItems() for DataFrameStatFunctionsRerngvit Yanggratoke2015-10-091-0/+21
| | | | | | | | | | | [SPARK-10905][SparkR]: Export freqItems() for DataFrameStatFunctions - Add function (together with roxygen2 doc) to DataFrame.R and generics.R - Expose the function in NAMESPACE - Add unit test for the function Author: Rerngvit Yanggratoke <rerngvit@kth.se> Closes #8962 from rerngvit/SPARK-10905.
* [SPARK-10836] [SPARKR] Added sort(x, decreasing, col, ... ) method to DataFrameNarine Kokhlikyan2015-10-081-1/+10
| | | | | | | | | | | | | | | the sort function can be used as an alternative to arrange(... ). As arguments it accepts x - dataframe, decreasing - TRUE/FALSE, a list of orderings for columns and the list of columns, represented as string names for example: sort(df, TRUE, "col1","col2","col3","col5") # for example, if we want to sort some of the columns in the same order sort(df, decreasing=TRUE, "col1") sort(df, decreasing=c(TRUE,FALSE), "col1","col2") Author: Narine Kokhlikyan <narine.kokhlikyan@gmail.com> Closes #8920 from NarineK/sparkrsort.
* [SPARK-10752] [SPARKR] Implement corr() and cov in DataFrameStatFunctions.Sun Rui2015-10-071-0/+12
| | | | | | Author: Sun Rui <rui.sun@intel.com> Closes #8869 from sun-rui/SPARK-10752.
* [SPARK-10904] [SPARKR] Fix to support `select(df, c("col1", "col2"))`felixcheung2015-10-031-1/+8
| | | | | | | | The fix is to coerce `c("a", "b")` into a list such that it could be serialized to call JVM with. Author: felixcheung <felixcheung_m@hotmail.com> Closes #8961 from felixcheung/rselect.
* [SPARK-10807] [SPARKR] Added as.data.frame as a synonym for collectOscar D. Lara Yejas2015-09-301-1/+8
| | | | | | | | | | Created method as.data.frame as a synonym for collect(). Author: Oscar D. Lara Yejas <olarayej@mail.usf.edu> Author: olarayej <oscar.lara.yejas@us.ibm.com> Author: Oscar D. Lara Yejas <oscar.lara.yejas@us.ibm.com> Closes #8908 from olarayej/SPARK-10807.
* [SPARK-10050] [SPARKR] Support collecting data of MapType in DataFrame.Sun Rui2015-09-161-12/+44
| | | | | | | | | 1. Support collecting data of MapType from DataFrame. 2. Support data of MapType in createDataFrame. Author: Sun Rui <rui.sun@intel.com> Closes #8711 from sun-rui/SPARK-10050.
* [SPARK-6548] Adding stddev to DataFrame functionsJihongMa2015-09-121-1/+1
| | | | | | | | | | | Adding STDDEV support for DataFrame using 1-pass online /parallel algorithm to compute variance. Please review the code change. Author: JihongMa <linlin200605@gmail.com> Author: Jihong MA <linlin200605@gmail.com> Author: Jihong MA <jihongma@jihongs-mbp.usca.ibm.com> Author: Jihong MA <jihongma@Jihongs-MacBook-Pro.local> Closes #6297 from JihongMA/SPARK-SQL.
* [SPARK-10049] [SPARKR] Support collecting data of ArraryType in DataFrame.Sun Rui2015-09-101-7/+37
| | | | | | | | | | | | | | this PR : 1. Enhance reflection in RBackend. Automatically matching a Java array to Scala Seq when finding methods. Util functions like seq(), listToSeq() in R side can be removed, as they will conflict with the Serde logic that transferrs a Scala seq to R side. 2. Enhance the SerDe to support transferring a Scala seq to R side. Data of ArrayType in DataFrame after collection is observed to be of Scala Seq type. 3. Support ArrayType in createDataFrame(). Author: Sun Rui <rui.sun@intel.com> Closes #8458 from sun-rui/SPARK-10049.
* [SPARK-8951] [SPARKR] support Unicode characters in collect()CHOIJAEHONG2015-09-031-0/+26
| | | | | | | | | Spark gives an error message and does not show the output when a field of the result DataFrame contains characters in CJK. I changed SerDe.scala in order that Spark support Unicode characters when writes a string to R. Author: CHOIJAEHONG <redrock07@naver.com> Closes #7494 from CHOIJAEHONG1/SPARK-8951.
* [SPARK-9803] [SPARKR] Add subset and transform + testsfelixcheung2015-08-281-1/+19
| | | | | | | | | | | | Add subset and transform Also reorganize `[` & `[[` to subset instead of select Note: for transform, transform is very similar to mutate. Spark doesn't seem to replace existing column with the name in mutate (ie. `mutate(df, age = df$age + 2)` - returned DataFrame has 2 columns with the same name 'age'), so therefore not doing that for now in transform. Though it is clearly stated it should replace column with matching name (should I open a JIRA for mutate/transform?) Author: felixcheung <felixcheung_m@hotmail.com> Closes #8503 from felixcheung/rsubset_transform.
* [SPARK-10328] [SPARKR] Fix generic for na.omitShivaram Venkataraman2015-08-281-1/+22
| | | | | | | | | | S3 function is at https://stat.ethz.ch/R-manual/R-patched/library/stats/html/na.fail.html Author: Shivaram Venkataraman <shivaram@cs.berkeley.edu> Author: Shivaram Venkataraman <shivaram.venkataraman@gmail.com> Author: Yu ISHIKAWA <yuu.ishikawa@gmail.com> Closes #8495 from shivaram/na-omit-fix.
* [SPARK-10219] [SPARKR] Fix varargsToEnv and add test caseShivaram Venkataraman2015-08-261-0/+6
| | | | | | | | cc sun-rui davies Author: Shivaram Venkataraman <shivaram@cs.berkeley.edu> Closes #8475 from shivaram/varargs-fix.
* [MINOR] [SPARKR] Fix some validation problems in SparkRYu ISHIKAWA2015-08-261-1/+1
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | Getting rid of some validation problems in SparkR https://github.com/apache/spark/pull/7883 cc shivaram ``` inst/tests/test_Serde.R:26:1: style: Trailing whitespace is superfluous. ^~ inst/tests/test_Serde.R:34:1: style: Trailing whitespace is superfluous. ^~ inst/tests/test_Serde.R:37:38: style: Trailing whitespace is superfluous. expect_equal(class(x), "character") ^~ inst/tests/test_Serde.R:50:1: style: Trailing whitespace is superfluous. ^~ inst/tests/test_Serde.R:55:1: style: Trailing whitespace is superfluous. ^~ inst/tests/test_Serde.R:60:1: style: Trailing whitespace is superfluous. ^~ inst/tests/test_sparkSQL.R:611:1: style: Trailing whitespace is superfluous. ^~ R/DataFrame.R:664:1: style: Trailing whitespace is superfluous. ^~~~~~~~~~~~~~ R/DataFrame.R:670:55: style: Trailing whitespace is superfluous. df <- data.frame(row.names = 1 : nrow) ^~~~~~~~~~~~~~~~ R/DataFrame.R:672:1: style: Trailing whitespace is superfluous. ^~~~~~~~~~~~~~ R/DataFrame.R:686:49: style: Trailing whitespace is superfluous. df[[names[colIndex]]] <- vec ^~~~~~~~~~~~~~~~~~ ``` Author: Yu ISHIKAWA <yuu.ishikawa@gmail.com> Closes #8474 from yu-iskw/minor-fix-sparkr.
* [SPARK-9316] [SPARKR] Add support for filtering using `[` (synonym for ↵felixcheung2015-08-251-0/+27
| | | | | | | | | | | | | | | | filter / select) Add support for ``` df[df$name == "Smith", c(1,2)] df[df$age %in% c(19, 30), 1:2] ``` shivaram Author: felixcheung <felixcheung_m@hotmail.com> Closes #8394 from felixcheung/rsubset.
* [SPARK-10106] [SPARKR] Add `ifelse` Column function to SparkRYu ISHIKAWA2015-08-191-1/+2
| | | | | | | | | ### JIRA [[SPARK-10106] Add `ifelse` Column function to SparkR - ASF JIRA](https://issues.apache.org/jira/browse/SPARK-10106) Author: Yu ISHIKAWA <yuu.ishikawa@gmail.com> Closes #8303 from yu-iskw/SPARK-10106.
* [SPARK-9856] [SPARKR] Add expression functions into SparkR whose params are ↵Yu ISHIKAWA2015-08-191-6/+92
| | | | | | | | | | | | | complicated I added lots of Column functinos into SparkR. And I also added `rand(seed: Int)` and `randn(seed: Int)` in Scala. Since we need such APIs for R integer type. ### JIRA [[SPARK-9856] Add expression functions into SparkR whose params are complicated - ASF JIRA](https://issues.apache.org/jira/browse/SPARK-9856) Author: Yu ISHIKAWA <yuu.ishikawa@gmail.com> Closes #8264 from yu-iskw/SPARK-9856-3.
* [SPARK-10075] [SPARKR] Add `when` expressino function in SparkRYu ISHIKAWA2015-08-181-0/+7
| | | | | | | | | | | | | | | - Add `when` and `otherwise` as `Column` methods - Add `When` as an expression function - Add `%otherwise%` infix as an alias of `otherwise` Since R doesn't support a feature like method chaining, `otherwise(when(condition, value), value)` style is a little annoying for me. If `%otherwise%` looks strange for shivaram, I can remove it. What do you think? ### JIRA [[SPARK-10075] Add `when` expressino function in SparkR - ASF JIRA](https://issues.apache.org/jira/browse/SPARK-10075) Author: Yu ISHIKAWA <yuu.ishikawa@gmail.com> Closes #8266 from yu-iskw/SPARK-10075.
* [SPARK-9871] [SPARKR] Add expression functions into SparkR which have a ↵Yu ISHIKAWA2015-08-161-0/+13
| | | | | | | | | | | | | | | | | | variable parameter ### Summary - Add `lit` function - Add `concat`, `greatest`, `least` functions I think we need to improve `collect` function in order to implement `struct` function. Since `collect` doesn't work with arguments which includes a nested `list` variable. It seems that a list against `struct` still has `jobj` classes. So it would be better to solve this problem on another issue. ### JIRA [[SPARK-9871] Add expression functions into SparkR which have a variable parameter - ASF JIRA](https://issues.apache.org/jira/browse/SPARK-9871) Author: Yu ISHIKAWA <yuu.ishikawa@gmail.com> Closes #8194 from yu-iskw/SPARK-9856.
* [SPARK-8844] [SPARKR] head/collect is broken in SparkR.Sun Rui2015-08-161-0/+20
| | | | | | | | | | | | | | This is a WIP patch for SPARK-8844 for collecting reviews. This bug is about reading an empty DataFrame. in readCol(), lapply(1:numRows, function(x) { does not take into consideration the case where numRows = 0. Will add unit test case. Author: Sun Rui <rui.sun@intel.com> Closes #7419 from sun-rui/SPARK-8844.
* [SPARK-9855] [SPARKR] Add expression functions into SparkR whose params are ↵Yu ISHIKAWA2015-08-121-9/+12
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | simple I added lots of expression functions for SparkR. This PR includes only functions whose params are only `(Column)` or `(Column, Column)`. And I think we need to improve how to test those functions. However, it would be better to work on another issue. ## Diff Summary - Add lots of functions in `functions.R` and their generic in `generic.R` - Add aliases for `ceiling` and `sign` - Move expression functions from `column.R` to `functions.R` - Modify `rdname` from `column` to `functions` I haven't supported `not` function, because the name has a collesion with `testthat` package. I didn't think of the way to define it. ## New Supported Functions ``` approxCountDistinct ascii base64 bin bitwiseNOT ceil (alias: ceiling) crc32 dayofmonth dayofyear explode factorial hex hour initcap isNaN last_day length log2 ltrim md5 minute month negate quarter reverse round rtrim second sha1 signum (alias: sign) size soundex to_date trim unbase64 unhex weekofyear year datediff levenshtein months_between nanvl pmod ``` ## JIRA [[SPARK-9855] Add expression functions into SparkR whose params are simple - ASF JIRA](https://issues.apache.org/jira/browse/SPARK-9855) Author: Yu ISHIKAWA <yuu.ishikawa@gmail.com> Closes #8123 from yu-iskw/SPARK-9855.
* [SPARK-9318] [SPARK-9320] [SPARKR] Aliases for merge and summary functions ↵Hossein2015-07-311-2/+12
| | | | | | | | | | | | | | | | | | | | | | | | on DataFrames This PR adds synonyms for ```merge``` and ```summary``` in SparkR DataFrame API. cc shivaram Author: Hossein <hossein@databricks.com> Closes #7806 from falaki/SPARK-9320 and squashes the following commits: 72600f7 [Hossein] Updated docs 92a6e75 [Hossein] Fixed merge generic signature issue 4c2b051 [Hossein] Fixing naming with mllib summary 0f3a64c [Hossein] Added ... to generic for merge 30fbaf8 [Hossein] Merged master ae1a4cf [Hossein] Merge branch 'master' into SPARK-9320 e8eb86f [Hossein] Add a generic for merge fc01f2d [Hossein] Added unit test 8d92012 [Hossein] Added merge as an alias for join 5b8bedc [Hossein] Added unit test 632693d [Hossein] Added summary as an alias for describe for DataFrame
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