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From Mich Talebzadeh <mich.talebza...@gmail.com>
Subject Re: Hive external table not working in sparkSQL when subdirectories are present
Date Wed, 07 Aug 2019 20:50:53 GMT
Have you updated partition statistics by any chance?

I assume you can access the table and data though Hive itself?

HTH

Dr Mich Talebzadeh



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On Wed, 7 Aug 2019 at 21:07, Patrick McCarthy <pmccarthy@dstillery.com>
wrote:

> Do the permissions on the hive table files on HDFS correspond with what
> the spark user is able to read? This might arise from spark being run as
> different users.
>
> On Wed, Aug 7, 2019 at 3:15 PM Rishikesh Gawade <rishikeshg1996@gmail.com>
> wrote:
>
>> Hi,
>> I did not explicitly create a Hive Context. I have been using the
>> spark.sqlContext that gets created upon launching the spark-shell.
>> Isn't this sqlContext same as the hiveContext?
>> Thanks,
>> Rishikesh
>>
>> On Wed, Aug 7, 2019 at 12:43 PM Jörn Franke <jornfranke@gmail.com> wrote:
>>
>>> Do you use the HiveContext in Spark? Do you configure the same options
>>> there? Can you share some code?
>>>
>>> Am 07.08.2019 um 08:50 schrieb Rishikesh Gawade <
>>> rishikeshg1996@gmail.com>:
>>>
>>> Hi.
>>> I am using Spark 2.3.2 and Hive 3.1.0.
>>> Even if i use parquet files the result would be same, because after all
>>> sparkSQL isn't able to descend into the subdirectories over which the table
>>> is created. Could there be any other way?
>>> Thanks,
>>> Rishikesh
>>>
>>> On Tue, Aug 6, 2019, 1:03 PM Mich Talebzadeh <mich.talebzadeh@gmail.com>
>>> wrote:
>>>
>>>> which versions of Spark and Hive are you using.
>>>>
>>>> what will happen if you use parquet tables instead?
>>>>
>>>> HTH
>>>>
>>>> Dr Mich Talebzadeh
>>>>
>>>>
>>>>
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>>>> *Disclaimer:* Use it at your own risk. Any and all responsibility for
>>>> any loss, damage or destruction of data or any other property which may
>>>> arise from relying on this email's technical content is explicitly
>>>> disclaimed. The author will in no case be liable for any monetary damages
>>>> arising from such loss, damage or destruction.
>>>>
>>>>
>>>>
>>>>
>>>> On Tue, 6 Aug 2019 at 07:58, Rishikesh Gawade <rishikeshg1996@gmail.com>
>>>> wrote:
>>>>
>>>>> Hi.
>>>>> I have built a Hive external table on top of a directory 'A' which has
>>>>> data stored in ORC format. This directory has several subdirectories
inside
>>>>> it, each of which contains the actual ORC files.
>>>>> These subdirectories are actually created by spark jobs which ingest
>>>>> data from other sources and write it into this directory.
>>>>> I tried creating a table and setting the table properties of the same
>>>>> as *hive.mapred.supports.subdirectories=TRUE* and
>>>>> *mapred.input.dir.recursive**=TRUE*.
>>>>> As a result of this, when i fire the simplest query of *select
>>>>> count(*) from ExtTable* via the Hive CLI, it successfully gives me
>>>>> the expected count of records in the table.
>>>>> However, when i fire the same query via sparkSQL, i get count = 0.
>>>>>
>>>>> I think the sparkSQL isn't able to descend into the subdirectories for
>>>>> getting the data while hive is able to do so.
>>>>> Are there any configurations needed to be set on the spark side so
>>>>> that this works as it does via hive cli?
>>>>> I am using Spark on YARN.
>>>>>
>>>>> Thanks,
>>>>> Rishikesh
>>>>>
>>>>> Tags: subdirectories, subdirectory, recursive, recursion, hive
>>>>> external table, orc, sparksql, yarn
>>>>>
>>>>
>
> --
>
>
> *Patrick McCarthy  *
>
> Senior Data Scientist, Machine Learning Engineering
>
> Dstillery
>
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