我从 这里 下的示例代码 https://github.com/pingcap/tispark-test ，
并根据 我自己的环境 改了一下 pom文件 和 代码中的 数据库名称 ，
在我 运行 TiDataSourceExampleWithExtensions ，这个类，readUsingScala 方法时 报 错，
请问这个是 代码需要额外配置，还是我的本机环境配置问题
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et\sf\jpam\jpam\1.1\jpam-1.1.jar;D:\dev\manvenrepos\com\pingcap\tikv\tikv-client\2.3.4\tikv-client-2.3.4.jar com.pingcap.tispark.examples.TiDataSourceExampleWithExtensions
tidb01:2379
20/10/19 22:22:42 INFO TiSparkInfo$: Supported Spark Version: 2.3 2.4
Current Spark Version: 2.4.7
Current Spark Major Version: 2.4
20/10/19 22:22:48 INFO TiBatchWrite: startTS: 420255149165641729
== Parsed Logical Plan ==
Relation[o_orderkey#0L,o_custkey#1L,o_orderstatus#2,o_totalprice#3,o_orderdate#4,o_orderpriority#5,o_clerk#6,o_shippriority#7L,o_comment#8] TiDBRelation(TiTableReference(tpch_001,ORDERS,9223372036854775807), TiTimestamp(420255148549341185))
== Analyzed Logical Plan ==
o_orderkey: bigint, o_custkey: bigint, o_orderstatus: string, o_totalprice: decimal(15,2), o_orderdate: date, o_orderpriority: string, o_clerk: string, o_shippriority: bigint, o_comment: string
Relation[o_orderkey#0L,o_custkey#1L,o_orderstatus#2,o_totalprice#3,o_orderdate#4,o_orderpriority#5,o_clerk#6,o_shippriority#7L,o_comment#8] TiDBRelation(TiTableReference(tpch_001,ORDERS,9223372036854775807), TiTimestamp(420255148549341185))
== Optimized Logical Plan ==
InMemoryRelation [o_orderkey#0L, o_custkey#1L, o_orderstatus#2, o_totalprice#3, o_orderdate#4, o_orderpriority#5, o_clerk#6, o_shippriority#7L, o_comment#8], StorageLevel(disk, memory, deserialized, 1 replicas)
± *(1) TiKV CoprocessorRDD{[table: orders] TableScan, Columns: o_orderkey@LONG, o_custkey@LONG, o_orderstatus@VARCHAR(1), o_totalprice@DECIMAL(15, 2), o_orderdate@DATE, o_orderpriority@VARCHAR(15), o_clerk@VARCHAR(15), o_shippriority@LONG, o_comment@VARCHAR(79), KeyRange: [([t\200\000\000\000\000\000\000Q_r\000\000\000\000\000\000\000\000], [t\200\000\000\000\000\000\000Q_s\000\000\000\000\000\000\000\000])], startTs: 420255148549341185}
== Physical Plan ==
InMemoryTableScan [o_orderkey#0L, o_custkey#1L, o_orderstatus#2, o_totalprice#3, o_orderdate#4, o_orderpriority#5, o_clerk#6, o_shippriority#7L, o_comment#8]
± InMemoryRelation [o_orderkey#0L, o_custkey#1L, o_orderstatus#2, o_totalprice#3, o_orderdate#4, o_orderpriority#5, o_clerk#6, o_shippriority#7L, o_comment#8], StorageLevel(disk, memory, deserialized, 1 replicas)
± *(1) TiKV CoprocessorRDD{[table: orders] TableScan, Columns: o_orderkey@LONG, o_custkey@LONG, o_orderstatus@VARCHAR(1), o_totalprice@DECIMAL(15, 2), o_orderdate@DATE, o_orderpriority@VARCHAR(15), o_clerk@VARCHAR(15), o_shippriority@LONG, o_comment@VARCHAR(79), KeyRange: [([t\200\000\000\000\000\000\000Q_r\000\000\000\000\000\000\000\000], [t\200\000\000\000\000\000\000Q_s\000\000\000\000\000\000\000\000])], startTs: 420255148549341185}
20/10/19 22:22:49 INFO TiBatchWriteTable: source data count=15000
20/10/19 22:22:49 ERROR Executor: Exception in task 0.0 in stage 4.0 (TID 4)
java.lang.ClassCastException: com.pingcap.tikv.codec.MyDecimal cannot be cast to java.math.BigDecimal
at com.pingcap.tikv.codec.RowEncoderV2.encodeDecimal(RowEncoderV2.java:320)
at com.pingcap.tikv.codec.RowEncoderV2.encodeValue(RowEncoderV2.java:221)
at com.pingcap.tikv.codec.RowEncoderV2.encodeRowCols(RowEncoderV2.java:166)
at com.pingcap.tikv.codec.RowEncoderV2.encode(RowEncoderV2.java:61)
at com.pingcap.tikv.codec.TableCodecV2.encodeRow(TableCodecV2.java:49)
at com.pingcap.tikv.codec.TableCodec.encodeRow(TableCodec.java:38)
at com.pingcap.tispark.write.TiBatchWriteTable.encodeTiRow(TiBatchWriteTable.scala:593)
at com.pingcap.tispark.write.TiBatchWriteTable.com$pingcap$tispark$write$TiBatchWriteTable$$generateRowKey(TiBatchWriteTable.scala:679)
at com.pingcap.tispark.write.TiBatchWriteTable$$anonfun$generateRecordKV$1.apply(TiBatchWriteTable.scala:687)
at com.pingcap.tispark.write.TiBatchWriteTable$$anonfun$generateRecordKV$1.apply(TiBatchWriteTable.scala:685)
at scala.collection.Iterator$$anon$11.next(Iterator.scala:410)
at scala.collection.Iterator$$anon$11.next(Iterator.scala:410)
at org.apache.spark.storage.memory.MemoryStore.putIterator(MemoryStore.scala:222)
at org.apache.spark.storage.memory.MemoryStore.putIteratorAsValues(MemoryStore.scala:299)
at org.apache.spark.storage.BlockManager$$anonfun$doPutIterator$1.apply(BlockManager.scala:1165)
at org.apache.spark.storage.BlockManager$$anonfun$doPutIterator$1.apply(BlockManager.scala:1156)
at org.apache.spark.storage.BlockManager.doPut(BlockManager.scala:1091)
at org.apache.spark.storage.BlockManager.doPutIterator(BlockManager.scala:1156)
at org.apache.spark.storage.BlockManager.getOrElseUpdate(BlockManager.scala:882)
at org.apache.spark.rdd.RDD.getOrCompute(RDD.scala:357)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:308)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
at org.apache.spark.scheduler.Task.run(Task.scala:123)
at org.apache.spark.executor.Executor$TaskRunner$$anonfun$10.apply(Executor.scala:408)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1360)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:414)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
20/10/19 22:22:49 ERROR TaskSetManager: Task 0 in stage 4.0 failed 1 times; aborting job
Exception in thread “main” org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 4.0 failed 1 times, most recent failure: Lost task 0.0 in stage 4.0 (TID 4, localhost, executor driver): java.lang.ClassCastException: com.pingcap.tikv.codec.MyDecimal cannot be cast to java.math.BigDecimal
at com.pingcap.tikv.codec.RowEncoderV2.encodeDecimal(RowEncoderV2.java:320)
at com.pingcap.tikv.codec.RowEncoderV2.encodeValue(RowEncoderV2.java:221)
at com.pingcap.tikv.codec.RowEncoderV2.encodeRowCols(RowEncoderV2.java:166)
at com.pingcap.tikv.codec.RowEncoderV2.encode(RowEncoderV2.java:61)
at com.pingcap.tikv.codec.TableCodecV2.encodeRow(TableCodecV2.java:49)
at com.pingcap.tikv.codec.TableCodec.encodeRow(TableCodec.java:38)
at com.pingcap.tispark.write.TiBatchWriteTable.encodeTiRow(TiBatchWriteTable.scala:593)
at com.pingcap.tispark.write.TiBatchWriteTable.com$pingcap$tispark$write$TiBatchWriteTable$$generateRowKey(TiBatchWriteTable.scala:679)
at com.pingcap.tispark.write.TiBatchWriteTable$$anonfun$generateRecordKV$1.apply(TiBatchWriteTable.scala:687)
at com.pingcap.tispark.write.TiBatchWriteTable$$anonfun$generateRecordKV$1.apply(TiBatchWriteTable.scala:685)
at scala.collection.Iterator$$anon$11.next(Iterator.scala:410)
at scala.collection.Iterator$$anon$11.next(Iterator.scala:410)
at org.apache.spark.storage.memory.MemoryStore.putIterator(MemoryStore.scala:222)
at org.apache.spark.storage.memory.MemoryStore.putIteratorAsValues(MemoryStore.scala:299)
at org.apache.spark.storage.BlockManager$$anonfun$doPutIterator$1.apply(BlockManager.scala:1165)
at org.apache.spark.storage.BlockManager$$anonfun$doPutIterator$1.apply(BlockManager.scala:1156)
at org.apache.spark.storage.BlockManager.doPut(BlockManager.scala:1091)
at org.apache.spark.storage.BlockManager.doPutIterator(BlockManager.scala:1156)
at org.apache.spark.storage.BlockManager.getOrElseUpdate(BlockManager.scala:882)
at org.apache.spark.rdd.RDD.getOrCompute(RDD.scala:357)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:308)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
at org.apache.spark.scheduler.Task.run(Task.scala:123)
at org.apache.spark.executor.Executor$TaskRunner$$anonfun$10.apply(Executor.scala:408)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1360)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:414)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Driver stacktrace:
at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1925)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1913)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1912)
at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1912)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:948)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:948)
at scala.Option.foreach(Option.scala:257)
at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:948)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:2146)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2095)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2084)
at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:49)
at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:759)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2061)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2082)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2101)
at org.apache.spark.rdd.RDD$$anonfun$take$1.apply(RDD.scala:1409)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
at org.apache.spark.rdd.RDD.withScope(RDD.scala:385)
at org.apache.spark.rdd.RDD.take(RDD.scala:1382)
at com.pingcap.tispark.write.TiBatchWrite.doWrite(TiBatchWrite.scala:203)
at com.pingcap.tispark.write.TiBatchWrite.com$pingcap$tispark$write$TiBatchWrite$$write(TiBatchWrite.scala:87)
at com.pingcap.tispark.write.TiBatchWrite$.write(TiBatchWrite.scala:45)
at com.pingcap.tispark.write.TiDBWriter$.write(TiDBWriter.scala:40)
at com.pingcap.tispark.TiDBDataSource.createRelation(TiDBDataSource.scala:57)
at org.apache.spark.sql.execution.datasources.SaveIntoDataSourceCommand.run(SaveIntoDataSourceCommand.scala:45)
at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult$lzycompute(commands.scala:70)
at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult(commands.scala:68)
at org.apache.spark.sql.execution.command.ExecutedCommandExec.doExecute(commands.scala:86)
at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:131)
at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:127)
at org.apache.spark.sql.execution.SparkPlan$$anonfun$executeQuery$1.apply(SparkPlan.scala:155)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
at org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:152)
at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:127)
at org.apache.spark.sql.execution.QueryExecution.toRdd$lzycompute(QueryExecution.scala:83)
at org.apache.spark.sql.execution.QueryExecution.toRdd(QueryExecution.scala:81)
at org.apache.spark.sql.DataFrameWriter$$anonfun$runCommand$1.apply(DataFrameWriter.scala:696)
at org.apache.spark.sql.DataFrameWriter$$anonfun$runCommand$1.apply(DataFrameWriter.scala:696)
at org.apache.spark.sql.execution.SQLExecution$$anonfun$withNewExecutionId$1.apply(SQLExecution.scala:80)
at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:127)
at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:75)
at org.apache.spark.sql.DataFrameWriter.runCommand(DataFrameWriter.scala:696)
at org.apache.spark.sql.DataFrameWriter.saveToV1Source(DataFrameWriter.scala:305)
at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:291)
at com.pingcap.tispark.examples.TiDataSourceExampleWithExtensions$.writeUsingScala(TiDataSourceExampleWithExtensions.scala:103)
at com.pingcap.tispark.examples.TiDataSourceExampleWithExtensions$.main(TiDataSourceExampleWithExtensions.scala:46)
at com.pingcap.tispark.examples.TiDataSourceExampleWithExtensions.main(TiDataSourceExampleWithExtensions.scala)
Caused by: java.lang.ClassCastException: com.pingcap.tikv.codec.MyDecimal cannot be cast to java.math.BigDecimal
at com.pingcap.tikv.codec.RowEncoderV2.encodeDecimal(RowEncoderV2.java:320)
at com.pingcap.tikv.codec.RowEncoderV2.encodeValue(RowEncoderV2.java:221)
at com.pingcap.tikv.codec.RowEncoderV2.encodeRowCols(RowEncoderV2.java:166)
at com.pingcap.tikv.codec.RowEncoderV2.encode(RowEncoderV2.java:61)
at com.pingcap.tikv.codec.TableCodecV2.encodeRow(TableCodecV2.java:49)
at com.pingcap.tikv.codec.TableCodec.encodeRow(TableCodec.java:38)
at com.pingcap.tispark.write.TiBatchWriteTable.encodeTiRow(TiBatchWriteTable.scala:593)
at com.pingcap.tispark.write.TiBatchWriteTable.com$pingcap$tispark$write$TiBatchWriteTable$$generateRowKey(TiBatchWriteTable.scala:679)
at com.pingcap.tispark.write.TiBatchWriteTable$$anonfun$generateRecordKV$1.apply(TiBatchWriteTable.scala:687)
at com.pingcap.tispark.write.TiBatchWriteTable$$anonfun$generateRecordKV$1.apply(TiBatchWriteTable.scala:685)
at scala.collection.Iterator$$anon$11.next(Iterator.scala:410)
at scala.collection.Iterator$$anon$11.next(Iterator.scala:410)
at org.apache.spark.storage.memory.MemoryStore.putIterator(MemoryStore.scala:222)
at org.apache.spark.storage.memory.MemoryStore.putIteratorAsValues(MemoryStore.scala:299)
at org.apache.spark.storage.BlockManager$$anonfun$doPutIterator$1.apply(BlockManager.scala:1165)
at org.apache.spark.storage.BlockManager$$anonfun$doPutIterator$1.apply(BlockManager.scala:1156)
at org.apache.spark.storage.BlockManager.doPut(BlockManager.scala:1091)
at org.apache.spark.storage.BlockManager.doPutIterator(BlockManager.scala:1156)
at org.apache.spark.storage.BlockManager.getOrElseUpdate(BlockManager.scala:882)
at org.apache.spark.rdd.RDD.getOrCompute(RDD.scala:357)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:308)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
at org.apache.spark.scheduler.Task.run(Task.scala:123)
at org.apache.spark.executor.Executor$TaskRunner$$anonfun$10.apply(Executor.scala:408)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1360)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:414)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Process finished with exit code 1