spark-user mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From Irving Duran <>
Subject Re: [pyspark] Read multiple files parallely into a single dataframe
Date Fri, 04 May 2018 17:09:30 GMT
I could be wrong, but I think you can do a wild card.

df ='csv').load('/path/to/file*.csv.gz')

Thank You,

Irving Duran

On Fri, May 4, 2018 at 4:38 AM Shuporno Choudhury <> wrote:

> Hi,
> I want to read multiple files parallely into 1 dataframe. But the files
> have random names and cannot confirm to any pattern (so I can't use
> wildcard). Also, the files can be in different directories.
> If I provide the file names in a list to the dataframe reader, it reads
> then sequentially.
>     Eg:
> This reads the files sequentially. What can I do to read the files
> parallely?
> I noticed that spark reads files parallely if provided directly the
> directory location. How can that be extended to multiple random files?
> Suppose if my system has 4 cores, how can I make spark read 4 files at a
> time?
> Please suggest.

View raw message