1fa29c2df2
This pull request adds following methods to SparkR: ```R setJobGroup() cancelJobGroup() clearJobGroup() ``` For each method, the spark context is passed as the first argument. There does not seem to be a good way to test these in R. cc shivaram and davies Author: Hossein <hossein@databricks.com> Closes #6889 from falaki/SPARK-8452 and squashes the following commits: 9ce9f1e [Hossein] Added basic tests to verify methods can be called and won't throw errors c706af9 [Hossein] Added examples a2c19af [Hossein] taking spark context as first argument 343ca77 [Hossein] Added setJobGroup, cancelJobGroup and clearJobGroup to SparkR
58 lines
1.7 KiB
R
58 lines
1.7 KiB
R
#
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# Licensed to the Apache Software Foundation (ASF) under one or more
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# contributor license agreements. See the NOTICE file distributed with
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# this work for additional information regarding copyright ownership.
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# The ASF licenses this file to You under the Apache License, Version 2.0
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# (the "License"); you may not use this file except in compliance with
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# the License. You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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context("test functions in sparkR.R")
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test_that("repeatedly starting and stopping SparkR", {
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for (i in 1:4) {
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sc <- sparkR.init()
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rdd <- parallelize(sc, 1:20, 2L)
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expect_equal(count(rdd), 20)
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sparkR.stop()
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}
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})
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test_that("rdd GC across sparkR.stop", {
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sparkR.stop()
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sc <- sparkR.init() # sc should get id 0
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rdd1 <- parallelize(sc, 1:20, 2L) # rdd1 should get id 1
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rdd2 <- parallelize(sc, 1:10, 2L) # rdd2 should get id 2
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sparkR.stop()
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sc <- sparkR.init() # sc should get id 0 again
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# GC rdd1 before creating rdd3 and rdd2 after
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rm(rdd1)
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gc()
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rdd3 <- parallelize(sc, 1:20, 2L) # rdd3 should get id 1 now
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rdd4 <- parallelize(sc, 1:10, 2L) # rdd4 should get id 2 now
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rm(rdd2)
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gc()
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count(rdd3)
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count(rdd4)
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})
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test_that("job group functions can be called", {
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sc <- sparkR.init()
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setJobGroup(sc, "groupId", "job description", TRUE)
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cancelJobGroup(sc, "groupId")
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clearJobGroup(sc)
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})
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