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From Mich Talebzadeh <mich.talebza...@gmail.com>
Subject Re: [SQL] Reading from hive table is listing all files in S3
Date Wed, 03 Aug 2016 14:47:46 GMT
Hi,

Do you have a schema definition for this Hive table?

What format is this table stored

HTH



Dr Mich Talebzadeh



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On 3 August 2016 at 15:03, Mehdi Meziane <mehdi.meziane@ldmobile.net> wrote:

> Hi all,
>
> We have a hive table stored in S3 and registered in a hive metastore.
> This table is partitionned with a key "day".
>
> So we access this table through the spark dataframe API as :
>
> sqlContext.read()
> .table("tablename)
> .where(col("day").between("2016-08-01","2016-08-02"))
>
> When the job is launched, we can see that spark have tasks "table" which
> have a small duration (seconds) but takes minutes.
> In the logs we see that every paths for every partitions are listed,
> regardless the partition key values, during minutes.
>
> 16/08/03 13:17:16 INFO HadoopFsRelation: Listing
> s3a://buckets3/day=2016-07-24
> 16/08/03 13:17:16 INFO HadoopFsRelation: Listing
> s3a://buckets3/day=2016-07-25
> ....
>
> Is it a normal behaviour? Do we could specify something in the
> read().table, maybe some options?
> I tried to find such options but i cannot find anything.
>
> Thanks,
> Mehdi
>

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