[jira] [Updated] (SPARK-37420) Oracle JDBC - java.lang.ArithmeticException: Decimal precision 49 exceeds max precision 38
[
https://issues.apache.org/jira/browse/SPARK-37420?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
t oo updated SPARK-37420:
-
Description:
reading oracle jdbc is not working as expected, i thought a simple df show
should work.
{code:java}
/usr/local/bin/pyspark --driver-class-path "/home/user/extra_jar_spark/*"
--jars "/home/user/extra_jar_spark/*"
jdbc2DF = spark.read \
.format("jdbc") \
.option("url", "jdbc:oracle:thin:@redact") \
.option("driver", "oracle.jdbc.OracleDriver") \
.option("dbtable", "s.t") \
.option("user", "redact") \
.option("password", "redact") \
.option("fetchsize", 1) \
.load()
jdbc2DF.printSchema()
root
|-- ID: decimal(38,10) (nullable = true)
|-- OBJECT_VERSION_NUMBER: decimal(9,0) (nullable = true)
|-- START_DATE: timestamp (nullable = true)
|-- END_DATE: timestamp (nullable = true)
|-- CREATED_BY: decimal(15,0) (nullable = true)
|-- CREATION_DATE: timestamp (nullable = true)
|-- LAST_UPDATED_BY: decimal(15,0) (nullable = true)
|-- LAST_UPDATE_DATE: timestamp (nullable = true)
|-- LAST_UPDATE_LOGIN: decimal(15,0) (nullable = true)
|-- CONTINGENCY: string (nullable = true)
|-- CONTINGENCY_ID: decimal(38,10) (nullable = true)
jdbc2DF.show()
21/11/20 23:42:00 ERROR Executor: Exception in task 0.0 in stage 2.0 (TID 2)
java.lang.ArithmeticException: Decimal precision 49 exceeds max precision 38
at
org.apache.spark.sql.errors.QueryExecutionErrors$.decimalPrecisionExceedsMaxPrecisionError(QueryExecutionErrors.scala:847)
at org.apache.spark.sql.types.Decimal.set(Decimal.scala:123)
at org.apache.spark.sql.types.Decimal$.apply(Decimal.scala:572)
at
org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$.$anonfun$makeGetter$4(JdbcUtils.scala:418)
at
org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$.nullSafeConvert(JdbcUtils.scala:546)
at
org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$.$anonfun$makeGetter$3(JdbcUtils.scala:418)
at
org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$.$anonfun$makeGetter$3$adapted(JdbcUtils.scala:416)
at
org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$$anon$1.getNext(JdbcUtils.scala:367)
at
org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$$anon$1.getNext(JdbcUtils.scala:349)
at org.apache.spark.util.NextIterator.hasNext(NextIterator.scala:73)
at
org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:37)
at
org.apache.spark.util.CompletionIterator.hasNext(CompletionIterator.scala:31)
at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown
Source)
at
org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
at
org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.hasNext(WholeStageCodegenExec.scala:759)
at
org.apache.spark.sql.execution.SparkPlan.$anonfun$getByteArrayRdd$1(SparkPlan.scala:349)
at
org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2(RDD.scala:898)
at
org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2$adapted(RDD.scala:898)
at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:373)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:337)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
at org.apache.spark.scheduler.Task.run(Task.scala:131)
at
org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:506)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1462)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:509)
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)
21/11/20 23:42:00 WARN TaskSetManager: Lost task 0.0 in stage 2.0 (TID 2)
(localhost executor driver): java.lang.ArithmeticException: Decimal precision
49 exceeds max precision 38
at
org.apache.spark.sql.errors.QueryExecutionErrors$.decimalPrecisionExceedsMaxPrecisionError(QueryExecutionErrors.scala:847)
at org.apache.spark.sql.types.Decimal.set(Decimal.scala:123)
at org.apache.spark.sql.types.Decimal$.apply(Decimal.scala:572)
at
org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$.$anonfun$makeGetter$4(JdbcUtils.scala:418)
at
org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$.nullSafeConvert(JdbcUtils.scala:546)
at
org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$.$anonfun$makeGetter$3(JdbcUtils.scala:418)
at
[jira] [Updated] (SPARK-37420) Oracle JDBC - java.lang.ArithmeticException: Decimal precision 49 exceeds max precision 38
[
https://issues.apache.org/jira/browse/SPARK-37420?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
t oo updated SPARK-37420:
-
Description:
reading oracle jdbc is not working as expected, i thought a simple df show
should work.
{code:java}
/usr/local/bin/pyspark --driver-class-path "/home/user/extra_jar_spark/*"
--jars "/home/user/extra_jar_spark/*"
jdbc2DF = spark.read \
.format("jdbc") \
.option("url", "jdbc:oracle:thin:@redact") \
.option("driver", "oracle.jdbc.OracleDriver") \
.option("dbtable", "s.t") \
.option("user", "redact") \
.option("password", "redact") \
.option("fetchsize", 1) \
.load()
jdbc2DF.printSchema()
root
|-- ID: decimal(38,10) (nullable = true)
|-- OBJECT_VERSION_NUMBER: decimal(9,0) (nullable = true)
|-- START_DATE: timestamp (nullable = true)
|-- END_DATE: timestamp (nullable = true)
|-- CREATED_BY: decimal(15,0) (nullable = true)
|-- CREATION_DATE: timestamp (nullable = true)
|-- LAST_UPDATED_BY: decimal(15,0) (nullable = true)
|-- LAST_UPDATE_DATE: timestamp (nullable = true)
|-- LAST_UPDATE_LOGIN: decimal(15,0) (nullable = true)
|-- CONTINGENCY: string (nullable = true)
|-- CONTINGENCY_ID: decimal(38,10) (nullable = true)
jdbc2DF.show()
21/11/20 23:42:00 ERROR Executor: Exception in task 0.0 in stage 2.0 (TID 2)
java.lang.ArithmeticException: Decimal precision 49 exceeds max precision 38
at
org.apache.spark.sql.errors.QueryExecutionErrors$.decimalPrecisionExceedsMaxPrecisionError(QueryExecutionErrors.scala:847)
at org.apache.spark.sql.types.Decimal.set(Decimal.scala:123)
at org.apache.spark.sql.types.Decimal$.apply(Decimal.scala:572)
at
org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$.$anonfun$makeGetter$4(JdbcUtils.scala:418)
at
org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$.nullSafeConvert(JdbcUtils.scala:546)
at
org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$.$anonfun$makeGetter$3(JdbcUtils.scala:418)
at
org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$.$anonfun$makeGetter$3$adapted(JdbcUtils.scala:416)
at
org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$$anon$1.getNext(JdbcUtils.scala:367)
at
org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$$anon$1.getNext(JdbcUtils.scala:349)
at org.apache.spark.util.NextIterator.hasNext(NextIterator.scala:73)
at
org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:37)
at
org.apache.spark.util.CompletionIterator.hasNext(CompletionIterator.scala:31)
at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown
Source)
at
org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
at
org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.hasNext(WholeStageCodegenExec.scala:759)
at
org.apache.spark.sql.execution.SparkPlan.$anonfun$getByteArrayRdd$1(SparkPlan.scala:349)
at
org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2(RDD.scala:898)
at
org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2$adapted(RDD.scala:898)
at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:373)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:337)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
at org.apache.spark.scheduler.Task.run(Task.scala:131)
at
org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:506)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1462)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:509)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
21/11/20 23:42:00 WARN TaskSetManager: Lost task 0.0 in stage 2.0 (TID 2)
(localhost executor driver): java.lang.ArithmeticException: Decimal precision
49 exceeds max precision 38
at
org.apache.spark.sql.errors.QueryExecutionErrors$.decimalPrecisionExceedsMaxPrecisionError(QueryExecutionErrors.scala:847)
at org.apache.spark.sql.types.Decimal.set(Decimal.scala:123)
at org.apache.spark.sql.types.Decimal$.apply(Decimal.scala:572)
at
org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$.$anonfun$makeGetter$4(JdbcUtils.scala:418)
at
org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$.nullSafeConvert(JdbcUtils.scala:546)
at
org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$.$anonfun$makeGetter$3(JdbcUtils.scala:418)
at
