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Posted to issues@spark.apache.org by "chenliang (Jira)" <ji...@apache.org> on 2019/12/14 07:57:00 UTC

[jira] [Created] (SPARK-30262) Fix NumberFormatException when totalSize is empty

chenliang created SPARK-30262:
---------------------------------

             Summary:  Fix NumberFormatException when totalSize is empty
                 Key: SPARK-30262
                 URL: https://issues.apache.org/jira/browse/SPARK-30262
             Project: Spark
          Issue Type: Bug
          Components: SQL
    Affects Versions: 2.4.3
            Reporter: chenliang
             Fix For: 2.4.3, 2.3.2


For Spark2.3.0+, we could get the Partitions Statistics Info.But in some specail case, The Info  like  totalSize,rawDataSize,rowCount maybe empty. When we do some ddls like   
{code:java}
desc formatted partitions {code}
 

,the NumberFormatException is showed as below:
{code:java}
spark-sql> desc formatted gulfstream.ods_binlog_business_config_whole partition(year='2019', month='10', day='17', hour='23');
19/10/19 00:02:40 ERROR SparkSQLDriver: Failed in [desc formatted gulfstream.ods_binlog_business_config_whole partition(year='2019', month='10', day='17', hour='23')]
java.lang.NumberFormatException: Zero length BigInteger
at java.math.BigInteger.(BigInteger.java:411)
at java.math.BigInteger.(BigInteger.java:597)
at scala.math.BigInt$.apply(BigInt.scala:77)
at org.apache.spark.sql.hive.client.HiveClientImpl$$anonfun$31.apply(HiveClientImpl.scala:1056)
at org.apache.spark.sql.hive.client.HiveClientImpl$$anonfun$31.apply(HiveClientImpl.scala:1056)
at scala.Option.map(Option.scala:146)
at org.apache.spark.sql.hive.client.HiveClientImpl$.org$apache$spark$sql$hive$client$HiveClientImpl$$readHiveStats(HiveClientImpl.scala:1056)
at org.apache.spark.sql.hive.client.HiveClientImpl$.fromHivePartition(HiveClientImpl.scala:1048)
at org.apache.spark.sql.hive.client.HiveClientImpl$$anonfun$getPartitionOption$1$$anonfun$apply$16.apply(HiveClientImpl.scala:659)
at org.apache.spark.sql.hive.client.HiveClientImpl$$anonfun$getPartitionOption$1$$anonfun$apply$16.apply(HiveClientImpl.scala:659)
at scala.Option.map(Option.scala:146)
at org.apache.spark.sql.hive.client.HiveClientImpl$$anonfun$getPartitionOption$1.apply(HiveClientImpl.scala:659)
at org.apache.spark.sql.hive.client.HiveClientImpl$$anonfun$getPartitionOption$1.apply(HiveClientImpl.scala:656)
at org.apache.spark.sql.hive.client.HiveClientImpl$$anonfun$withHiveState$1.apply(HiveClientImpl.scala:281)
at org.apache.spark.sql.hive.client.HiveClientImpl.liftedTree1$1(HiveClientImpl.scala:219)
at org.apache.spark.sql.hive.client.HiveClientImpl.retryLocked(HiveClientImpl.scala:218)
at org.apache.spark.sql.hive.client.HiveClientImpl.withHiveState(HiveClientImpl.scala:264)
at org.apache.spark.sql.hive.client.HiveClientImpl.getPartitionOption(HiveClientImpl.scala:656)
at org.apache.spark.sql.hive.client.HiveClient$class.getPartitionOption(HiveClient.scala:194)
at org.apache.spark.sql.hive.client.HiveClientImpl.getPartitionOption(HiveClientImpl.scala:84)
at org.apache.spark.sql.hive.client.HiveClient$class.getPartition(HiveClient.scala:174)
at org.apache.spark.sql.hive.client.HiveClientImpl.getPartition(HiveClientImpl.scala:84)
at org.apache.spark.sql.hive.HiveExternalCatalog$$anonfun$getPartition$1.apply(HiveExternalCatalog.scala:1125)
at org.apache.spark.sql.hive.HiveExternalCatalog$$anonfun$getPartition$1.apply(HiveExternalCatalog.scala:1124)
{code}



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