Daniel Mateus Pires created SQOOP-3421:
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Summary: Importing data from Oracle to Parquet as incremental
dataset name fails
Key: SQOOP-3421
URL: https://issues.apache.org/jira/browse/SQOOP-3421
Project: Sqoop
Issue Type: Bug
Affects Versions: 1.4.7
Reporter: Daniel Mateus Pires
Hi there, I'm trying to run the following to import an Oracle table into S3 as
Parquet:
sqoop import --connect jdbc:oracle:thin:@//some.host:1521/ORCL --where="rownum
< 100" --table SOME_SCHEMA.SOME_TABLE_NAME --password some_password --username
some_username --num-mappers 4 --split-by PRD_ID --target-dir
s3n://bucket/destination --temporary-rootdir s3n://bucket/temp/destination
--compress --check-column PRD_MODIFY_DT --incremental lastmodified
--map-column-java PRD_ATTR_TEXT=String --append
Version of Kite is: kite-data-s3-1.1.0.jar
Version of Sqoop is: 1.4.7
And I'm getting the following error:
{code:text}
19/01/21 13:20:33 INFO manager.SqlManager: Executing SQL statement: SELECT t.*
FROM SOME_SCHEMA.SOME_TABLE_NAME t WHERE 1=0
19/01/21 13:20:34 INFO conf.HiveConf: Found configuration file
file:/etc/hive/conf.dist/hive-site.xml
19/01/21 13:20:35 ERROR sqoop.Sqoop: Got exception running Sqoop:
org.kitesdk.data.ValidationException: Dataset name
47a2cf963b82475d8eba78c822403204_SOME_SCHEMA.SOME_TABLE_NAME is not
alphanumeric (plus '_')
org.kitesdk.data.ValidationException: Dataset name
47a2cf963b82475d8eba78c822403204_SOME_SCHEMA.SOME_TABLE_NAME is not
alphanumeric (plus '_')
at
org.kitesdk.data.ValidationException.check(ValidationException.java:55)
at
org.kitesdk.data.spi.Compatibility.checkDatasetName(Compatibility.java:105)
at org.kitesdk.data.spi.Compatibility.check(Compatibility.java:68)
at
org.kitesdk.data.spi.filesystem.FileSystemMetadataProvider.create(FileSystemMetadataProvider.java:209)
at
org.kitesdk.data.spi.filesystem.FileSystemDatasetRepository.create(FileSystemDatasetRepository.java:137)
at org.kitesdk.data.Datasets.create(Datasets.java:239)
at org.kitesdk.data.Datasets.create(Datasets.java:307)
at
org.apache.sqoop.mapreduce.ParquetJob.createDataset(ParquetJob.java:156)
at
org.apache.sqoop.mapreduce.ParquetJob.configureImportJob(ParquetJob.java:130)
at
org.apache.sqoop.mapreduce.DataDrivenImportJob.configureMapper(DataDrivenImportJob.java:132)
at
org.apache.sqoop.mapreduce.ImportJobBase.runImport(ImportJobBase.java:264)
at org.apache.sqoop.manager.SqlManager.importTable(SqlManager.java:692)
at
org.apache.sqoop.manager.OracleManager.importTable(OracleManager.java:454)
at org.apache.sqoop.tool.ImportTool.importTable(ImportTool.java:520)
at org.apache.sqoop.tool.ImportTool.run(ImportTool.java:628)
at org.apache.sqoop.Sqoop.run(Sqoop.java:147)
at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:76)
at org.apache.sqoop.Sqoop.runSqoop(Sqoop.java:183)
at org.apache.sqoop.Sqoop.runTool(Sqoop.java:234)
at org.apache.sqoop.Sqoop.runTool(Sqoop.java:243)
at org.apache.sqoop.Sqoop.main(Sqoop.java:252)
{code}
Importing as text file instead solves the issue
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