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From Yin Huai <>
Subject Re: Spark SQL DataFrame 1.5.0 is extremely slow for take(1) or head() or first()
Date Mon, 21 Sep 2015 17:01:01 GMT
Hi Jerry,

Looks like it is a Python-specific issue. Can you create a JIRA?



On Mon, Sep 21, 2015 at 8:56 AM, Jerry Lam <> wrote:

> Hi Spark Developers,
> I just ran some very simple operations on a dataset. I was surprise by the
> execution plan of take(1), head() or first().
> For your reference, this is what I did in pyspark 1.5:
> df.head()
> The above lines take over 15 minutes. I was frustrated because I can do
> better without using spark :) Since I like spark, so I tried to figure out
> why. It seems the dataframe requires 3 stages to give me the first row. It
> reads all data (which is about 1 billion rows) and run Limit twice.
> Instead of head(), show(1) runs much faster. Not to mention that if I do:
> df.rdd.take(1) //runs much faster.
> Is this expected? Why head/first/take is so slow for dataframe? Is it a
> bug in the optimizer? or I did something wrong?
> Best Regards,
> Jerry

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