Re: Hive external table not working in sparkSQL when subdirectories are present

[Mich Talebzadeh]

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 
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 
> 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  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 <
>>> rishikeshg1...@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 
>>> 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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 arising from such loss, damage or destruction.




 On Tue, 6 Aug 2019 at 07:58, Rishikesh Gawade 
 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
>
> 470 Park Ave South, 17th Floor, NYC 10016
>

Re: Hive external table not working in sparkSQL when subdirectories are present

[Patrick McCarthy]

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 
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  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 > >:
>>
>> 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 
>> wrote:
>>
>>> which versions of Spark and Hive are you using.
>>>
>>> what will happen if you use parquet tables instead?
>>>
>>> HTH
>>>
>>> Dr Mich Talebzadeh
>>>
>>>
>>>
>>> LinkedIn * 
>>> https://www.linkedin.com/profile/view?id=AAEWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw
>>> *
>>>
>>>
>>>
>>> http://talebzadehmich.wordpress.com
>>>
>>>
>>> *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 
>>> 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

470 Park Ave South, 17th Floor, NYC 10016

Re: Hive external table not working in sparkSQL when subdirectories are present

[Rishikesh Gawade]

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  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  >:
>
> 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 
> wrote:
>
>> which versions of Spark and Hive are you using.
>>
>> what will happen if you use parquet tables instead?
>>
>> HTH
>>
>> Dr Mich Talebzadeh
>>
>>
>>
>> LinkedIn * 
>> https://www.linkedin.com/profile/view?id=AAEWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw
>> *
>>
>>
>>
>> http://talebzadehmich.wordpress.com
>>
>>
>> *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 
>> 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
>>>
>>

Re: Hive external table not working in sparkSQL when subdirectories are present

[Jörn Franke]

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 :
> 
> 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  
>> wrote:
>> which versions of Spark and Hive are you using.
>> 
>> what will happen if you use parquet tables instead?
>> 
>> HTH
>> 
>> Dr Mich Talebzadeh
>>  
>> LinkedIn  
>> https://www.linkedin.com/profile/view?id=AAEWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw
>>  
>> http://talebzadehmich.wordpress.com
>> 
>> 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  
>>> 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

Re: Hive external table not working in sparkSQL when subdirectories are present

[Rishikesh Gawade]

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 
wrote:

> which versions of Spark and Hive are you using.
>
> what will happen if you use parquet tables instead?
>
> HTH
>
> Dr Mich Talebzadeh
>
>
>
> LinkedIn * 
> https://www.linkedin.com/profile/view?id=AAEWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw
> *
>
>
>
> http://talebzadehmich.wordpress.com
>
>
> *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 
> 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
>>
>

Re: Hive external table not working in sparkSQL when subdirectories are present

[Mich Talebzadeh]

which versions of Spark and Hive are you using.

what will happen if you use parquet tables instead?

HTH

Dr Mich Talebzadeh



LinkedIn * 
https://www.linkedin.com/profile/view?id=AAEWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw
*



http://talebzadehmich.wordpress.com


*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 
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
>

Hive external table not working in sparkSQL when subdirectories are present

[Rishikesh Gawade]

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