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- CREATE TABLE t1 (a VARCHAR, b INTEGER PRIMARY KEY);
- UPSERT INTO t1 VALUES ('test1', 1);
- // Insert new row with a third column 'c'
- UPSERT INTO t1 (a, b, c INTEGER) VALUES('test2', 2, 3);
- SELECT * FROM t1;
- +--------+----+
- | A | B |
- +--------+----+
- | test1 | 1 |
- | test2 | 2 |
- +--------+----+
- // Add the new column
- ALTER TABLE t1 ADD IF NOT EXISTS c INTEGER;
- SELECT * FROM t1;
- +--------+----+-------+
- | A | B | C |
- +--------+----+-------+
- | test1 | 1 | null |
- | test2 | 2 | 3 |
- +--------+----+-------+
- val readDF = sqlContext.read.format("org.apache.phoenix.spark").option("table", "T1").option("zkUrl", "jdbc:phoenix:zim1ext-vm.et-it.hs-offenburg.de:2181:/hbase-unsecure").load()
- readDF.printSchema
- readDF: org.apache.spark.sql.DataFrame = [A: string, B: int, C: int]
- root
- |-- A: string (nullable = true)
- |-- B: integer (nullable = true)
- |-- C: integer (nullable = true)
- val newDF = sqlContext.read.format("com.databricks.spark.csv").option("header", "true").option("inferSchema", "true").option("delimiter", ";").load("/public/test4.csv")
- newDF.printSchema
- newDF: org.apache.spark.sql.DataFrame = [B: int, C: int, D: string]
- root
- |-- B: integer (nullable = true)
- |-- C: integer (nullable = true)
- |-- D: string (nullable = true) // This is a new column!!!
- newDF.write.format("org.apache.phoenix.spark")
- .mode("overwrite")
- .option("table", "T1")
- .option("zkUrl", "jdbc:phoenix:server-url:2181:/hbase-unsecure")
- .save()
- org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 14.0 failed 4 times, most recent failure: Lost task 0.3 in stage 14.0 (TID 31, server-url): java.sql.SQLException: Unable to resolve these column names:
- D
- Available columns with column families:
- 0.A,B,0.C
- at org.apache.phoenix.util.PhoenixRuntime.generateColumnInfo(PhoenixRuntime.java:475)
- at org.apache.phoenix.mapreduce.util.PhoenixConfigurationUtil.getUpsertColumnMetadataList(PhoenixConfigurationUtil.java:252)
- at org.apache.phoenix.spark.DataFrameFunctions$$anonfun$1.apply(DataFrameFunctions.scala:48)
- at org.apache.phoenix.spark.DataFrameFunctions$$anonfun$1.apply(DataFrameFunctions.scala:44)
- at org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$22.apply(RDD.scala:717)
- at org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$22.apply(RDD.scala:717)
- at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
- at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:313)
- at org.apache.spark.rdd.RDD.iterator(RDD.scala:277)
- at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
- at org.apache.spark.scheduler.Task.run(Task.scala:89)
- at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:227)
- at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
- at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
- at java.lang.Thread.run(Thread.java:745)
- Driver stacktrace:
- at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1433)
- at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1421)
- at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1420)
- at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
- at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
- at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1420)
- at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:801)
- at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:801)
- at scala.Option.foreach(Option.scala:236)
- at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:801)
- at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1642)
- at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1601)
- at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1590)
- at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
- at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:622)
- at org.apache.spark.SparkContext.runJob(SparkContext.scala:1831)
- at org.apache.spark.SparkContext.runJob(SparkContext.scala:1844)
- at org.apache.spark.SparkContext.runJob(SparkContext.scala:1921)
- at org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsNewAPIHadoopDataset$1.apply$mcV$sp(PairRDDFunctions.scala:1144)
- at org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsNewAPIHadoopDataset$1.apply(PairRDDFunctions.scala:1074)
- at org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsNewAPIHadoopDataset$1.apply(PairRDDFunctions.scala:1074)
- at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:150)
- at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:111)
- at org.apache.spark.rdd.RDD.withScope(RDD.scala:323)
- at org.apache.spark.rdd.PairRDDFunctions.saveAsNewAPIHadoopDataset(PairRDDFunctions.scala:1074)
- at org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsNewAPIHadoopFile$2.apply$mcV$sp(PairRDDFunctions.scala:994)
- at org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsNewAPIHadoopFile$2.apply(PairRDDFunctions.scala:985)
- at org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsNewAPIHadoopFile$2.apply(PairRDDFunctions.scala:985)
- at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:150)
- at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:111)
- at org.apache.spark.rdd.RDD.withScope(RDD.scala:323)
- at org.apache.spark.rdd.PairRDDFunctions.saveAsNewAPIHadoopFile(PairRDDFunctions.scala:985)
- at org.apache.phoenix.spark.DataFrameFunctions.saveToPhoenix(DataFrameFunctions.scala:58)
- at org.apache.phoenix.spark.DataFrameFunctions.saveToPhoenix(DataFrameFunctions.scala:27)
- at org.apache.phoenix.spark.DefaultSource.createRelation(DefaultSource.scala:47)
- at org.apache.spark.sql.execution.datasources.ResolvedDataSource$.apply(ResolvedDataSource.scala:222)
- at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:148)
- at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:32)
- at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:37)
- at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:39)
- at $iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:41)
- at $iwC$$iwC$$iwC$$iwC.<init>(<console>:43)
- at $iwC$$iwC$$iwC.<init>(<console>:45)
- at $iwC$$iwC.<init>(<console>:47)
- at $iwC.<init>(<console>:49)
- at <init>(<console>:51)
- at .<init>(<console>:55)
- at .<clinit>(<console>)
- at .<init>(<console>:7)
- at .<clinit>(<console>)
- at $print(<console>)
- at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
- at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
- at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
- at java.lang.reflect.Method.invoke(Method.java:498)
- at org.apache.spark.repl.SparkIMain$ReadEvalPrint.call(SparkIMain.scala:1065)
- at org.apache.spark.repl.SparkIMain$Request.loadAndRun(SparkIMain.scala:1346)
- at org.apache.spark.repl.SparkIMain.loadAndRunReq$1(SparkIMain.scala:840)
- at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:871)
- at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:819)
- at sun.reflect.GeneratedMethodAccessor35.invoke(Unknown Source)
- at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
- at java.lang.reflect.Method.invoke(Method.java:498)
- at org.apache.zeppelin.spark.Utils.invokeMethod(Utils.java:38)
- at org.apache.zeppelin.spark.SparkInterpreter.interpret(SparkInterpreter.java:991)
- at org.apache.zeppelin.spark.SparkInterpreter.interpretInput(SparkInterpreter.java:1197)
- at org.apache.zeppelin.spark.SparkInterpreter.interpret(SparkInterpreter.java:1164)
- at org.apache.zeppelin.spark.SparkInterpreter.interpret(SparkInterpreter.java:1157)
- at org.apache.zeppelin.interpreter.LazyOpenInterpreter.interpret(LazyOpenInterpreter.java:101)
- at org.apache.zeppelin.interpreter.remote.RemoteInterpreterServer$InterpretJob.jobRun(RemoteInterpreterServer.java:502)
- at org.apache.zeppelin.scheduler.Job.run(Job.java:175)
- at org.apache.zeppelin.scheduler.FIFOScheduler$1.run(FIFOScheduler.java:139)
- at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
- at java.util.concurrent.FutureTask.run(FutureTask.java:266)
- at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.access$201(ScheduledThreadPoolExecutor.java:180)
- at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.run(ScheduledThreadPoolExecutor.java:293)
- at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
- at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
- at java.lang.Thread.run(Thread.java:745)
- Caused by: java.sql.SQLException: Unable to resolve these column names:
- D
- Available columns with column families:
- 0.A,B,0.C
- at org.apache.phoenix.util.PhoenixRuntime.generateColumnInfo(PhoenixRuntime.java:475)
- at org.apache.phoenix.mapreduce.util.PhoenixConfigurationUtil.getUpsertColumnMetadataList(PhoenixConfigurationUtil.java:252)
- at org.apache.phoenix.spark.DataFrameFunctions$$anonfun$1.apply(DataFrameFunctions.scala:48)
- at org.apache.phoenix.spark.DataFrameFunctions$$anonfun$1.apply(DataFrameFunctions.scala:44)
- at org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$22.apply(RDD.scala:717)
- at org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$22.apply(RDD.scala:717)
- at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
- at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:313)
- at org.apache.spark.rdd.RDD.iterator(RDD.scala:277)
- at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
- at org.apache.spark.scheduler.Task.run(Task.scala:89)
- at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:227)
- ... 3 more
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