actual errors are Query: select * from gwynniebee_bi.mi_test ERROR: AnalysisException: Failed to load metadata for table: gwynniebee_bi.mi_test CAUSED BY: TableLoadingException: Unrecognized table type for table: gwynniebee_bi.mi_test
On Fri, Jun 26, 2015 at 1:21 PM, Manikandan R <[email protected]> wrote: > It should be same as I have created many tables before in Hive and used to > read the same in Impala without any issues. > > I am running oozie based workflows in Production environment to take the > data from MySQL to HDFS (via sqoop hive imports) in raw format -> Storing > the same data again in Parquet format using Impala shell and on top of it, > reports are running using Impala queries. This is happening for few weeks > without any issues. > > Now, I am trying to see whether I can import the data from mySQL to Impala > (parquet) directly to avoid the Intermediate step. > > > > On Fri, Jun 26, 2015 at 1:02 PM, Abraham Elmahrek <[email protected]> > wrote: > >> 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 >>>>> >>>>> >>>>> >>>>> >>>> >>> >> >
