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From Abraham Elmahrek <...@cloudera.com>
Subject Re: Unknown dataset URI issues in Sqoop hive import as parquet
Date Fri, 26 Jun 2015 07:32:44 GMT
Check your config. They should use the same metastore.

On Fri, Jun 26, 2015 at 12:26 AM, Manikandan R <manirajv06@gmail.com> 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 <abe@cloudera.com>
> 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 <manirajv06@gmail.com>
>> 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
>>>
>>>
>>>
>>>
>>
>

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