[SQOOP-3421] Importing data from Oracle to Parquet as incremental dataset name fails

• Type: Bug
• Status: Open
• Priority: Minor
• Resolution: Unresolved
• Affects Version/s: 1.4.7
• Assignee: Unassigned
• Reporter: Daniel Mateus Pires
• Created: 21/Jan/19 13:44
• Updated: 21/Jan/19 14:38

Description

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:

Unable to find source-code formatter for language: text. Available languages are: actionscript, ada, applescript, bash, c, c#, c++, cpp, css, erlang, go, groovy, haskell, html, java, javascript, js, json, lua, none, nyan, objc, perl, php, python, r, rainbow, ruby, scala, sh, sql, swift, visualbasic, xml, yaml

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)

Importing as text file instead solves the issue