Merge branch 'support-add-jar-ivy' of https://github.com/AngersZhuuuu…

…/spark into support-add-jar-ivy

.github/workflows/build_and_test.yml

@@ -168,12 +168,10 @@ jobs:
         python3.8 -m pip list
     # SparkR
     - name: Install R 4.0
+      uses: r-lib/actions/setup-r@v1
       if: contains(matrix.modules, 'sparkr')
-      run: |
-        sudo sh -c "echo 'deb https://cloud.r-project.org/bin/linux/ubuntu bionic-cran40/' >> /etc/apt/sources.list"
-        curl -sL "https://keyserver.ubuntu.com/pks/lookup?op=get&search=0xE298A3A825C0D65DFD57CBB651716619E084DAB9" | sudo apt-key add
-        sudo apt-get update
-        sudo apt-get install -y r-base r-base-dev libcurl4-openssl-dev
+      with:
+        r-version: 4.0
     - name: Install R packages
       if: contains(matrix.modules, 'sparkr')
       run: |
@@ -232,11 +230,9 @@ jobs:
         #   See also https://github.com/sphinx-doc/sphinx/issues/7551.
         pip3 install flake8 'sphinx<3.1.0' numpy pydata_sphinx_theme ipython nbsphinx
     - name: Install R 4.0
-      run: |
-        sudo sh -c "echo 'deb https://cloud.r-project.org/bin/linux/ubuntu bionic-cran40/' >> /etc/apt/sources.list"
-        curl -sL "https://keyserver.ubuntu.com/pks/lookup?op=get&search=0xE298A3A825C0D65DFD57CBB651716619E084DAB9" | sudo apt-key add
-        sudo apt-get update
-        sudo apt-get install -y r-base r-base-dev libcurl4-openssl-dev
+      uses: r-lib/actions/setup-r@v1
+      with:
+        r-version: 4.0
     - name: Install R linter dependencies and SparkR
       run: |
         sudo apt-get install -y libcurl4-openssl-dev

.github/workflows/test_report.yml

@@ -15,7 +15,16 @@ jobs:
         github_token: ${{ secrets.GITHUB_TOKEN }}
         workflow: ${{ github.event.workflow_run.workflow_id }}
         commit: ${{ github.event.workflow_run.head_commit.id }}
+    - name: Check if JUnit report XML files exist
+      run: |
+        if ls **/target/test-reports/*.xml > /dev/null 2>&1; then
+          echo '::set-output name=FILE_EXISTS::true'
+        else
+          echo '::set-output name=FILE_EXISTS::false'
+        fi
+      id: check-junit-file
     - name: Publish test report
+      if: steps.check-junit-file.outputs.FILE_EXISTS == 'true'
       uses: scacap/action-surefire-report@v1
       with:
         check_name: Report test results

R/pkg/NAMESPACE

@@ -348,6 +348,7 @@ exportMethods("%<=>%",
               "negate",
               "next_day",
               "not",
+              "nth_value",
               "ntile",
               "otherwise",
               "over",
@@ -426,6 +427,7 @@ exportMethods("%<=>%",
               "variance",
               "var_pop",
               "var_samp",
+              "vector_to_array",
               "weekofyear",
               "when",
               "window",

R/pkg/R/functions.R

@@ -338,12 +338,29 @@ NULL
 #' tmp <- mutate(df, dist = over(cume_dist(), ws), dense_rank = over(dense_rank(), ws),
 #'               lag = over(lag(df$mpg), ws), lead = over(lead(df$mpg, 1), ws),
 #'               percent_rank = over(percent_rank(), ws),
-#'               rank = over(rank(), ws), row_number = over(row_number(), ws))
+#'               rank = over(rank(), ws), row_number = over(row_number(), ws),
+#'               nth_value = over(nth_value(df$mpg, 3), ws))
 #' # Get ntile group id (1-4) for hp
 #' tmp <- mutate(tmp, ntile = over(ntile(4), ws))
 #' head(tmp)}
 NULL
 
+#' ML functions for Column operations
+#'
+#' ML functions defined for \code{Column}.
+#'
+#' @param x Column to compute on.
+#' @param ... additional argument(s).
+#' @name column_ml_functions
+#' @rdname column_ml_functions
+#' @family ml functions
+#' @examples
+#' \dontrun{
+#' df <- read.df("data/mllib/sample_libsvm_data.txt", source = "libsvm")
+#' head(select(df, vector_to_array(df$features)))
+#' }
+NULL
+
 #' @details
 #' \code{lit}: A new Column is created to represent the literal value.
 #' If the parameter is a Column, it is returned unchanged.
@@ -3298,6 +3315,37 @@ setMethod("lead",
             column(jc)
           })
 
+#' @details
+#' \code{nth_value}: Window function: returns the value that is the \code{offset}th
+#' row of the window frame# (counting from 1), and \code{null} if the size of window
+#' frame is less than \code{offset} rows.
+#'
+#' @param offset a numeric indicating number of row to use as the value
+#' @param na.rm a logical which indicates that the Nth value should skip null in the
+#'        determination of which row to use
+#'
+#' @rdname column_window_functions
+#' @aliases nth_value nth_value,characterOrColumn-method
+#' @note nth_value since 3.1.0
+setMethod("nth_value",
+          signature(x = "characterOrColumn", offset = "numeric"),
+          function(x, offset, na.rm = FALSE) {
+            x <- if (is.character(x)) {
+              column(x)
+            } else {
+              x
+            }
+            offset <- as.integer(offset)
+            jc <- callJStatic(
+              "org.apache.spark.sql.functions",
+              "nth_value",
+              x@jc,
+              offset,
+              na.rm
+            )
+            column(jc)
+          })
+
 #' @details
 #' \code{ntile}: Returns the ntile group id (from 1 to n inclusive) in an ordered window
 #' partition. For example, if n is 4, the first quarter of the rows will get value 1, the second
@@ -4419,10 +4467,32 @@ setMethod("current_timestamp",
 #' @aliases timestamp_seconds timestamp_seconds,Column-method
 #' @note timestamp_seconds since 3.1.0
 setMethod("timestamp_seconds",
-    signature(x = "Column"),
-    function(x) {
-        jc <- callJStatic(
-            "org.apache.spark.sql.functions", "timestamp_seconds", x@jc
-        )
-        column(jc)
-    })
+          signature(x = "Column"),
+          function(x) {
+            jc <- callJStatic(
+              "org.apache.spark.sql.functions", "timestamp_seconds", x@jc
+            )
+            column(jc)
+          })
+
+#' @details
+#' \code{vector_to_array} Converts a column of MLlib sparse/dense vectors into
+#' a column of dense arrays.
+#'
+#' @param dtype The data type of the output array. Valid values: "float64" or "float32".
+#'
+#' @rdname column_ml_functions
+#' @aliases vector_to_array vector_to_array,Column-method
+#' @note vector_to_array since 3.1.0
+setMethod("vector_to_array",
+          signature(x = "Column"),
+          function(x, dtype = c("float64", "float32")) {
+            dtype <- match.arg(dtype)
+            jc <- callJStatic(
+              "org.apache.spark.ml.functions",
+              "vector_to_array",
+              x@jc,
+              dtype
+            )
+            column(jc)
+          })

R/pkg/R/generics.R

@@ -1164,6 +1164,10 @@ setGeneric("months_between", function(y, x, ...) { standardGeneric("months_betwe
 #' @rdname count
 setGeneric("n", function(x) { standardGeneric("n") })
 
+#' @rdname column_window_functions
+#' @name NULL
+setGeneric("nth_value", function(x, offset, ...) { standardGeneric("nth_value") })
+
 #' @rdname column_nonaggregate_functions
 #' @name NULL
 setGeneric("nanvl", function(y, x) { standardGeneric("nanvl") })
@@ -1445,6 +1449,10 @@ setGeneric("var_pop", function(x) { standardGeneric("var_pop") })
 #' @name NULL
 setGeneric("var_samp", function(x) { standardGeneric("var_samp") })
 
+#' @rdname column_ml_functions
+#' @name NULL
+setGeneric("vector_to_array", function(x, ...) { standardGeneric("vector_to_array") })
+
 #' @rdname column_datetime_functions
 #' @name NULL
 setGeneric("weekofyear", function(x) { standardGeneric("weekofyear") })

R/pkg/tests/fulltests/test_sparkSQL.R

@@ -1424,7 +1424,10 @@ test_that("column functions", {
     date_trunc("quarter", c) + current_date() + current_timestamp()
   c25 <- overlay(c1, c2, c3, c3) + overlay(c1, c2, c3) + overlay(c1, c2, 1) +
     overlay(c1, c2, 3, 4)
-  c26 <- timestamp_seconds(c1)
+  c26 <- timestamp_seconds(c1) + vector_to_array(c) +
+    vector_to_array(c, "float32") + vector_to_array(c, "float64")
+  c27 <- nth_value("x", 1L) + nth_value("y", 2, TRUE) +
+    nth_value(column("v"), 3) + nth_value(column("z"), 4L, FALSE)
 
   # Test if base::is.nan() is exposed
   expect_equal(is.nan(c("a", "b")), c(FALSE, FALSE))

common/network-shuffle/src/main/java/org/apache/spark/network/shuffle/ExternalShuffleBlockResolver.java

@@ -92,10 +92,6 @@ public class ExternalShuffleBlockResolver {
   @VisibleForTesting
   final DB db;
 
-  private final List<String> knownManagers = Arrays.asList(
-    "org.apache.spark.shuffle.sort.SortShuffleManager",
-    "org.apache.spark.shuffle.unsafe.UnsafeShuffleManager");
-
   public ExternalShuffleBlockResolver(TransportConf conf, File registeredExecutorFile)
       throws IOException {
     this(conf, registeredExecutorFile, Executors.newSingleThreadExecutor(
@@ -148,10 +144,6 @@ public void registerExecutor(
       ExecutorShuffleInfo executorInfo) {
     AppExecId fullId = new AppExecId(appId, execId);
     logger.info("Registered executor {} with {}", fullId, executorInfo);
-    if (!knownManagers.contains(executorInfo.shuffleManager)) {
-      throw new UnsupportedOperationException(
-        "Unsupported shuffle manager of executor: " + executorInfo);
-    }
     try {
       if (db != null) {
         byte[] key = dbAppExecKey(fullId);

common/network-shuffle/src/test/java/org/apache/spark/network/shuffle/ExternalShuffleBlockResolverSuite.java

@@ -71,15 +71,6 @@ public void testBadRequests() throws IOException {
       assertTrue("Bad error message: " + e, e.getMessage().contains("not registered"));
     }
 
-    // Invalid shuffle manager
-    try {
-      resolver.registerExecutor("app0", "exec2", dataContext.createExecutorInfo("foobar"));
-      resolver.getBlockData("app0", "exec2", 1, 1, 0);
-      fail("Should have failed");
-    } catch (UnsupportedOperationException e) {
-      // pass
-    }
-
     // Nonexistent shuffle block
     resolver.registerExecutor("app0", "exec3",
       dataContext.createExecutorInfo(SORT_MANAGER));

common/network-shuffle/src/test/java/org/apache/spark/network/shuffle/ExternalShuffleIntegrationSuite.java

@@ -233,9 +233,9 @@ public void testFetchThreeSort() throws Exception {
     exec0Fetch.releaseBuffers();
   }
 
-  @Test (expected = RuntimeException.class)
-  public void testRegisterInvalidExecutor() throws Exception {
-    registerExecutor("exec-1", dataContext0.createExecutorInfo("unknown sort manager"));
+  @Test
+  public void testRegisterWithCustomShuffleManager() throws Exception {
+    registerExecutor("exec-1", dataContext0.createExecutorInfo("custom shuffle manager"));
   }
 
   @Test