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From swetha kasireddy <swethakasire...@gmail.com>
Subject Re: How to insert data for 100 partitions at a time using Spark SQL
Date Sun, 22 May 2016 18:43:50 GMT
But, how do I take 100 partitions at a time from staging table?

On Sun, May 22, 2016 at 11:26 AM, Mich Talebzadeh <mich.talebzadeh@gmail.com
> wrote:

> ok so you still keep data as ORC in Hive for further analysis
>
> what I have in mind is to have an external table as staging table and do
> insert into an orc internal table which is bucketed and partitioned.
>
>
>
> Dr Mich Talebzadeh
>
>
>
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>
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>
> On 22 May 2016 at 19:11, swetha kasireddy <swethakasireddy@gmail.com>
> wrote:
>
>> I am looking at ORC. I insert the data using the following query.
>>
>> sqlContext.sql("  CREATE EXTERNAL TABLE IF NOT EXISTS records (id STRING,
>> record STRING) PARTITIONED BY (datePartition STRING, idPartition STRING)
>> stored as ORC LOCATION '/user/users' ")
>>       sqlContext.sql("  orc.compress= SNAPPY")
>>       sqlContext.sql(
>>         """ from recordsTemp ps   insert overwrite table users
>> partition(datePartition , idPartition )  select ps.id, ps.record ,
>> ps.datePartition, ps.idPartition  """.stripMargin)
>>
>> On Sun, May 22, 2016 at 12:37 AM, Mich Talebzadeh <
>> mich.talebzadeh@gmail.com> wrote:
>>
>>> where is your base table and what format is it Parquet, ORC etc)
>>>
>>>
>>>
>>> Dr Mich Talebzadeh
>>>
>>>
>>>
>>> LinkedIn * https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw
>>> <https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw>*
>>>
>>>
>>>
>>> http://talebzadehmich.wordpress.com
>>>
>>>
>>>
>>> On 22 May 2016 at 08:34, SRK <swethakasireddy@gmail.com> wrote:
>>>
>>>> Hi,
>>>>
>>>> In my Spark SQL query to insert data, I have around 14,000 partitions of
>>>> data which seems to be causing memory issues. How can I insert the data
>>>> for
>>>> 100 partitions at a time to avoid any memory issues?
>>>>
>>>>
>>>>
>>>> --
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>>>> http://apache-spark-user-list.1001560.n3.nabble.com/How-to-insert-data-for-100-partitions-at-a-time-using-Spark-SQL-tp26997.html
>>>> Sent from the Apache Spark User List mailing list archive at Nabble.com.
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>>>
>>
>

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