Spark for ios very slow6/30/2023 ![]() ![]() Just try to implement what I suggested and you will be able to write to S3 pretty fast. In Spark 2.0 it is deprecated(replaced by algorithm.version=2)īy the way I personally write with Spark to HDFS and use DISTCP jobs (specifically s3-dist-cp) in production to copy the files to S3 but this is done for several other reasons (consistency, fault tolerance) so it is not necessary. It does not work with speculation turned on or writing in append mode You need to note two important things here: Sc.t(".committer.class",".parquet.DirectParquetOutputCommitter") If you use older version of hadoop, I would suggest you to use Spark 1.6 with it and use: This copies each file from _temporary on commit task and not commit job so it is distributed and works pretty fast. Sc.t("", "2") only works with hadoop version > 2.7. Here, the commit job applies fs.rename on the _temporary folder and since rename is not supported by S3, this means that a single request is now copying and deleting all the files from _temporary to its final destination. Adam Scott plays Mark, who works for a company. ![]() I think what you are encountering is a problem with outputcommitter and s3. Severance, which begins Friday on Apple TV+, is a vexing near-future science-fiction mystery with overtones of a corporate conspiracy thriller.
0 Comments
Leave a Reply. |