Check your config. They should use the same metastore. On Fri, Jun 26, 2015 at 12:26 AM, Manikandan R <[email protected]> wrote:
> Yes, it works. I set HCAT_HOME as HIVE_HOME/hcatalog. > > I can able to read data from Hive, but not from Impala shell. Any > workaround? > > Thanks, > Mani > > On Thu, Jun 25, 2015 at 7:27 PM, Abraham Elmahrek <[email protected]> > wrote: > >> Make sure HIVE_HOME and HCAT_HOME are set. >> >> For the datetime/timestamp issue... this is because parquet doesn't >> support timestamp types yet. Avro schemas support them as of 1.8.0 >> apparently: https://issues.apache.org/jira/browse/AVRO-739. Try casting >> to a numeric or string value first? >> >> -Abe >> >> On Thu, Jun 25, 2015 at 6:49 AM, Manikandan R <[email protected]> >> wrote: >> >>> Hello, >>> >>> I am running >>> >>> ./sqoop import --connect jdbc:mysql:// >>> ups.db.gwynniebee.com/gwynniebee_bats --username root --password >>> gwynniebee --table bats_active --hive-import --hive-database gwynniebee_bi >>> --hive-table test_pq_bats_active --null-string '\\N' --null-non-string >>> '\\N' --as-parquetfile -m1 >>> >>> and getting the below exception. I come to know from various sources >>> that $HIVE_HOME has to be set properly to avoid these kind of errors. In my >>> case, corresponding home directory exists. But, still it is throwing the >>> below exception. >>> >>> 15/06/25 13:24:19 WARN spi.Registration: Not loading URI patterns in >>> org.kitesdk.data.spi.hive.Loader >>> 15/06/25 13:24:19 ERROR sqoop.Sqoop: Got exception running Sqoop: >>> org.kitesdk.data.DatasetNotFoundException: Unknown dataset URI: >>> hive:/gwynniebee_bi/test_pq_bats_active. Check that JARs for hive datasets >>> are on the classpath. >>> org.kitesdk.data.DatasetNotFoundException: Unknown dataset URI: >>> hive:/gwynniebee_bi/test_pq_bats_active. Check that JARs for hive datasets >>> are on the classpath. >>> at >>> org.kitesdk.data.spi.Registration.lookupDatasetUri(Registration.java:109) >>> at org.kitesdk.data.Datasets.create(Datasets.java:228) >>> at org.kitesdk.data.Datasets.create(Datasets.java:307) >>> at >>> org.apache.sqoop.mapreduce.ParquetJob.createDataset(ParquetJob.java:107) >>> at >>> org.apache.sqoop.mapreduce.ParquetJob.configureImportJob(ParquetJob.java:89) >>> at >>> org.apache.sqoop.mapreduce.DataDrivenImportJob.configureMapper(DataDrivenImportJob.java:108) >>> at >>> org.apache.sqoop.mapreduce.ImportJobBase.runImport(ImportJobBase.java:260) >>> at org.apache.sqoop.manager.SqlManager.importTable(SqlManager.java:673) >>> at >>> org.apache.sqoop.manager.MySQLManager.importTable(MySQLManager.java:118) >>> at org.apache.sqoop.tool.ImportTool.importTable(ImportTool.java:497) >>> at org.apache.sqoop.tool.ImportTool.run(ImportTool.java:605) >>> at org.apache.sqoop.Sqoop.run(Sqoop.java:143) >>> at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:70) >>> at org.apache.sqoop.Sqoop.runSqoop(Sqoop.java:179) >>> at org.apache.sqoop.Sqoop.runTool(Sqoop.java:218) >>> at org.apache.sqoop.Sqoop.runTool(Sqoop.java:227) >>> at org.apache.sqoop.Sqoop.main(Sqoop.java:236) >>> >>> So, I tried an alternative solution, creating an parquet file first >>> without any hive related options and creating an table referring to the >>> same location in Impala. It worked fine. But, it is throwing the below >>> issues ( I think it is because of date related columns). >>> >>> ERROR: File hdfs:// >>> 10.183.138.137:9000/data/gwynniebee_bi/test_pq_bats_active/a4a65639-ae38-417e-bbd9-56f4eb76c06b.parquet >>> has an incompatible type with the table schema for column create_date. >>> Expected type: BYTE_ARRAY. Actual type: INT64 >>> >>> Then, I tried table without datetime columns. It is working fine in this >>> case. >>> >>> I am using hive 0.13 and sqoop-1.4.6.bin__hadoop-2.0.4-alpha bin. >>> >>> I would prefer first approach for my requirements. Can anyone please >>> help me in this regard? >>> >>> Thanks, >>> Mani >>> >>> >>> >>> >> >
