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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2016/01/05 02:38:40 UTC
[jira] [Assigned] (SPARK-12625) SparkR is using deprecated APIs
[ https://issues.apache.org/jira/browse/SPARK-12625?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-12625:
------------------------------------
Assignee: (was: Apache Spark)
> SparkR is using deprecated APIs
> -------------------------------
>
> Key: SPARK-12625
> URL: https://issues.apache.org/jira/browse/SPARK-12625
> Project: Spark
> Issue Type: Bug
> Components: SparkR, SQL
> Reporter: Reynold Xin
> Priority: Blocker
>
> See the test failure for the following pull request:
> https://github.com/apache/spark/pull/10559
> https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/48642/consoleFull
> SparkR is using a lot of deprecated APIs.
> {code}
> ========================================================================
> Running SparkR tests
> ========================================================================
> Loading required package: methods
> Attaching package: 'SparkR'
> The following object is masked from 'package:testthat':
> describe
> The following objects are masked from 'package:stats':
> cov, filter, lag, na.omit, predict, sd, var
> The following objects are masked from 'package:base':
> colnames, colnames<-, intersect, rank, rbind, sample, subset,
> summary, table, transform
> SerDe functionality : ...................
> functions on binary files : Re-using existing Spark Context. Please stop SparkR with sparkR.stop() or restart R to create a new Spark Context
> ....
> binary functions : Re-using existing Spark Context. Please stop SparkR with sparkR.stop() or restart R to create a new Spark Context
> ...........
> broadcast variables : Re-using existing Spark Context. Please stop SparkR with sparkR.stop() or restart R to create a new Spark Context
> ..
> functions in client.R : .....
> test functions in sparkR.R : Re-using existing Spark Context. Please stop SparkR with sparkR.stop() or restart R to create a new Spark Context
> ........Re-using existing Spark Context. Please stop SparkR with sparkR.stop() or restart R to create a new Spark Context
> ..........
> include an external JAR in SparkContext : ..
> include R packages : Re-using existing Spark Context. Please stop SparkR with sparkR.stop() or restart R to create a new Spark Context
> MLlib functions : Re-using existing Spark Context. Please stop SparkR with sparkR.stop() or restart R to create a new Spark Context
> ............
> parallelize() and collect() : Re-using existing Spark Context. Please stop SparkR with sparkR.stop() or restart R to create a new Spark Context
> .............................
> basic RDD functions : Re-using existing Spark Context. Please stop SparkR with sparkR.stop() or restart R to create a new Spark Context
> ...........................................................................................................................................................................................................................................................................................................................................................................................................................................
> partitionBy, groupByKey, reduceByKey etc. : Re-using existing Spark Context. Please stop SparkR with sparkR.stop() or restart R to create a new Spark Context
> ....................
> SparkSQL functions : Re-using existing Spark Context. Please stop SparkR with sparkR.stop() or restart R to create a new Spark Context
> .......................................................1...................................................................................2.3....4......................................................................................................................5............6.....................................................................................................................................7............................................................................8........................................................................
> tests RDD function take() : Re-using existing Spark Context. Please stop SparkR with sparkR.stop() or restart R to create a new Spark Context
> ................
> the textFile() function : Re-using existing Spark Context. Please stop SparkR with sparkR.stop() or restart R to create a new Spark Context
> .............
> functions in utils.R : Re-using existing Spark Context. Please stop SparkR with sparkR.stop() or restart R to create a new Spark Context
> .......................
> 1. Error: create DataFrame from RDD --------------------------------------------
> 1: withCallingHandlers(eval(code, new_test_environment), error = capture_calls, message = function(c) invokeRestart("muffleMessage"))
> 2: eval(code, new_test_environment)
> 3: eval(expr, envir, enclos)
> 4: insertInto(df, "people") at test_sparkSQL.R:174
> 5: insertInto(df, "people")
> 6: .local(x, tableName, ...)
> 7: callJMethod(x@sdf, "insertInto", tableName, overwrite)
> 8: invokeJava(isStatic = FALSE, objId$id, methodName, ...)
> 9: stop(readString(conn))
> 2. Error: read/write json files ------------------------------------------------
> 1: withCallingHandlers(eval(code, new_test_environment), error = capture_calls, message = function(c) invokeRestart("muffleMessage"))
> 2: eval(code, new_test_environment)
> 3: eval(expr, envir, enclos)
> 4: write.df(df, jsonPath2, "json", mode = "overwrite") at test_sparkSQL.R:404
> 5: write.df(df, jsonPath2, "json", mode = "overwrite")
> 6: .local(df, path, ...)
> 7: callJMethod(df@sdf, "save", source, jmode, options)
> 8: invokeJava(isStatic = FALSE, objId$id, methodName, ...)
> 9: stop(readString(conn))
> 3. Error: jsonRDD() on a RDD with json string ----------------------------------
> 1: withCallingHandlers(eval(code, new_test_environment), error = capture_calls, message = function(c) invokeRestart("muffleMessage"))
> 2: eval(code, new_test_environment)
> 3: eval(expr, envir, enclos)
> 4: jsonRDD(sqlContext, rdd) at test_sparkSQL.R:426
> 5: callJMethod(sqlContext, "jsonRDD", callJMethod(getJRDD(rdd), "rdd"), samplingRatio)
> 6: invokeJava(isStatic = FALSE, objId$id, methodName, ...)
> 7: stop(readString(conn))
> 4. Error: insertInto() on a registered table -----------------------------------
> 1: withCallingHandlers(eval(code, new_test_environment), error = capture_calls, message = function(c) invokeRestart("muffleMessage"))
> 2: eval(code, new_test_environment)
> 3: eval(expr, envir, enclos)
> 4: write.df(df, parquetPath, "parquet", "overwrite") at test_sparkSQL.R:465
> 5: write.df(df, parquetPath, "parquet", "overwrite")
> 6: .local(df, path, ...)
> 7: callJMethod(df@sdf, "save", source, jmode, options)
> 8: invokeJava(isStatic = FALSE, objId$id, methodName, ...)
> 9: stop(readString(conn))
> 5. Error: subsetting -----------------------------------------------------------
> error in evaluating the argument 'i' in selecting a method for function '[':
> Calls: %in% -> %in% -> callJMethod -> invokeJava
> 1: withCallingHandlers(eval(code, new_test_environment), error = capture_calls, message = function(c) invokeRestart("muffleMessage"))
> 2: eval(code, new_test_environment)
> 3: eval(expr, envir, enclos)
> 4: df[df$age %in% c(19, 30), 1:2] at test_sparkSQL.R:844
> 6. Error: test HiveContext -----------------------------------------------------
> 1: withCallingHandlers(eval(code, new_test_environment), error = capture_calls, message = function(c) invokeRestart("muffleMessage"))
> 2: eval(code, new_test_environment)
> 3: eval(expr, envir, enclos)
> 4: saveAsTable(df, "json2", "json", "append", path = jsonPath2) at test_sparkSQL.R:905
> 5: saveAsTable(df, "json2", "json", "append", path = jsonPath2)
> 6: callJMethod(df@sdf, "saveAsTable", tableName, source, jmode, options)
> 7: invokeJava(isStatic = FALSE, objId$id, methodName, ...)
> 8: stop(readString(conn))
> 7. Error: filter() on a DataFrame ----------------------------------------------
> error in evaluating the argument 'condition' in selecting a method for function 'where':
> Calls: %in% -> %in% -> callJMethod -> invokeJava
> 1: withCallingHandlers(eval(code, new_test_environment), error = capture_calls, message = function(c) invokeRestart("muffleMessage"))
> 2: eval(code, new_test_environment)
> 3: eval(expr, envir, enclos)
> 4: where(df, df$age %in% c(19)) at test_sparkSQL.R:1260
> 8. Error: read/write Parquet files ---------------------------------------------
> 1: withCallingHandlers(eval(code, new_test_environment), error = capture_calls, message = function(c) invokeRestart("muffleMessage"))
> 2: eval(code, new_test_environment)
> 3: eval(expr, envir, enclos)
> 4: write.df(df, parquetPath, "parquet", mode = "overwrite") at test_sparkSQL.R:1472
> 5: write.df(df, parquetPath, "parquet", mode = "overwrite")
> 6: .local(df, path, ...)
> 7: callJMethod(df@sdf, "save", source, jmode, options)
> 8: invokeJava(isStatic = FALSE, objId$id, methodName, ...)
> 9: stop(readString(conn))
> Error: Test failures
> Execution halted
> Loading required package: methods
> Attaching package: 'SparkR'
> The following object is masked from 'package:testthat':
> describe
> The following objects are masked from 'package:stats':
> cov, filter, lag, na.omit, predict, sd, var
> The following objects are masked from 'package:base':
> colnames, colnames<-, intersect, rank, rbind, sample, subset,
> summary, table, transform
> SerDe functionality : ...................
> functions on binary files : Re-using existing Spark Context. Please stop SparkR with sparkR.stop() or restart R to create a new Spark Context
> ....
> binary functions : Re-using existing Spark Context. Please stop SparkR with sparkR.stop() or restart R to create a new Spark Context
> ...........
> broadcast variables : Re-using existing Spark Context. Please stop SparkR with sparkR.stop() or restart R to create a new Spark Context
> ..
> functions in client.R : .....
> test functions in sparkR.R : Re-using existing Spark Context. Please stop SparkR with sparkR.stop() or restart R to create a new Spark Context
> ........Re-using existing Spark Context. Please stop SparkR with sparkR.stop() or restart R to create a new Spark Context
> ..........
> include an external JAR in SparkContext : ..
> include R packages : Re-using existing Spark Context. Please stop SparkR with sparkR.stop() or restart R to create a new Spark Context
> MLlib functions : Re-using existing Spark Context. Please stop SparkR with sparkR.stop() or restart R to create a new Spark Context
> ............
> parallelize() and collect() : Re-using existing Spark Context. Please stop SparkR with sparkR.stop() or restart R to create a new Spark Context
> .............................
> basic RDD functions : Re-using existing Spark Context. Please stop SparkR with sparkR.stop() or restart R to create a new Spark Context
> ...........................................................................................................................................................................................................................................................................................................................................................................................................................................
> partitionBy, groupByKey, reduceByKey etc. : Re-using existing Spark Context. Please stop SparkR with sparkR.stop() or restart R to create a new Spark Context
> ....................
> SparkSQL functions : Re-using existing Spark Context. Please stop SparkR with sparkR.stop() or restart R to create a new Spark Context
> .......................................................1...................................................................................2.3....4......................................................................................................................5............6.....................................................................................................................................7............................................................................8........................................................................
> tests RDD function take() : Re-using existing Spark Context. Please stop SparkR with sparkR.stop() or restart R to create a new Spark Context
> ................
> the textFile() function : Re-using existing Spark Context. Please stop SparkR with sparkR.stop() or restart R to create a new Spark Context
> .............
> functions in utils.R : Re-using existing Spark Context. Please stop SparkR with sparkR.stop() or restart R to create a new Spark Context
> .......................
> 1. Error: create DataFrame from RDD --------------------------------------------
> 1: withCallingHandlers(eval(code, new_test_environment), error = capture_calls, message = function(c) invokeRestart("muffleMessage"))
> 2: eval(code, new_test_environment)
> 3: eval(expr, envir, enclos)
> 4: insertInto(df, "people") at test_sparkSQL.R:174
> 5: insertInto(df, "people")
> 6: .local(x, tableName, ...)
> 7: callJMethod(x@sdf, "insertInto", tableName, overwrite)
> 8: invokeJava(isStatic = FALSE, objId$id, methodName, ...)
> 9: stop(readString(conn))
> 2. Error: read/write json files ------------------------------------------------
> 1: withCallingHandlers(eval(code, new_test_environment), error = capture_calls, message = function(c) invokeRestart("muffleMessage"))
> 2: eval(code, new_test_environment)
> 3: eval(expr, envir, enclos)
> 4: write.df(df, jsonPath2, "json", mode = "overwrite") at test_sparkSQL.R:404
> 5: write.df(df, jsonPath2, "json", mode = "overwrite")
> 6: .local(df, path, ...)
> 7: callJMethod(df@sdf, "save", source, jmode, options)
> 8: invokeJava(isStatic = FALSE, objId$id, methodName, ...)
> 9: stop(readString(conn))
> 3. Error: jsonRDD() on a RDD with json string ----------------------------------
> 1: withCallingHandlers(eval(code, new_test_environment), error = capture_calls, message = function(c) invokeRestart("muffleMessage"))
> 2: eval(code, new_test_environment)
> 3: eval(expr, envir, enclos)
> 4: jsonRDD(sqlContext, rdd) at test_sparkSQL.R:426
> 5: callJMethod(sqlContext, "jsonRDD", callJMethod(getJRDD(rdd), "rdd"), samplingRatio)
> 6: invokeJava(isStatic = FALSE, objId$id, methodName, ...)
> 7: stop(readString(conn))
> 4. Error: insertInto() on a registered table -----------------------------------
> 1: withCallingHandlers(eval(code, new_test_environment), error = capture_calls, message = function(c) invokeRestart("muffleMessage"))
> 2: eval(code, new_test_environment)
> 3: eval(expr, envir, enclos)
> 4: write.df(df, parquetPath, "parquet", "overwrite") at test_sparkSQL.R:465
> 5: write.df(df, parquetPath, "parquet", "overwrite")
> 6: .local(df, path, ...)
> 7: callJMethod(df@sdf, "save", source, jmode, options)
> 8: invokeJava(isStatic = FALSE, objId$id, methodName, ...)
> 9: stop(readString(conn))
> 5. Error: subsetting -----------------------------------------------------------
> error in evaluating the argument 'i' in selecting a method for function '[':
> Calls: %in% -> %in% -> callJMethod -> invokeJava
> 1: withCallingHandlers(eval(code, new_test_environment), error = capture_calls, message = function(c) invokeRestart("muffleMessage"))
> 2: eval(code, new_test_environment)
> 3: eval(expr, envir, enclos)
> 4: df[df$age %in% c(19, 30), 1:2] at test_sparkSQL.R:844
> 6. Error: test HiveContext -----------------------------------------------------
> 1: withCallingHandlers(eval(code, new_test_environment), error = capture_calls, message = function(c) invokeRestart("muffleMessage"))
> 2: eval(code, new_test_environment)
> 3: eval(expr, envir, enclos)
> 4: saveAsTable(df, "json2", "json", "append", path = jsonPath2) at test_sparkSQL.R:905
> 5: saveAsTable(df, "json2", "json", "append", path = jsonPath2)
> 6: callJMethod(df@sdf, "saveAsTable", tableName, source, jmode, options)
> 7: invokeJava(isStatic = FALSE, objId$id, methodName, ...)
> 8: stop(readString(conn))
> 7. Error: filter() on a DataFrame ----------------------------------------------
> error in evaluating the argument 'condition' in selecting a method for function 'where':
> Calls: %in% -> %in% -> callJMethod -> invokeJava
> 1: withCallingHandlers(eval(code, new_test_environment), error = capture_calls, message = function(c) invokeRestart("muffleMessage"))
> 2: eval(code, new_test_environment)
> 3: eval(expr, envir, enclos)
> 4: where(df, df$age %in% c(19)) at test_sparkSQL.R:1260
> 8. Error: read/write Parquet files ---------------------------------------------
> 1: withCallingHandlers(eval(code, new_test_environment), error = capture_calls, message = function(c) invokeRestart("muffleMessage"))
> 2: eval(code, new_test_environment)
> 3: eval(expr, envir, enclos)
> 4: write.df(df, parquetPath, "parquet", mode = "overwrite") at test_sparkSQL.R:1472
> 5: write.df(df, parquetPath, "parquet", mode = "overwrite")
> 6: .local(df, path, ...)
> 7: callJMethod(df@sdf, "save", source, jmode, options)
> 8: invokeJava(isStatic = FALSE, objId$id, methodName, ...)
> 9: stop(readString(conn))
> Error: Test failures
> {code}
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