Spark can I manually specify the number of partitions when do textFile
The spark will automatically decide the number of partitions base on the size of the input file. I have two questions:
Can I specify the number of the partition rather than let the spark decide how much partitions?
How bad is shuffle when doing the repartition? Is it really expensive for the performance? My case is that I need repartition to "1" to write into the one Parquet file, the partition was "31". How bad is it? why?
apache-spark text-files hive-partitions
asked Nov 19 '18 at 5:19
bd zhangbd zhang
12
add a comment |
The spark will automatically decide the number of partitions base on the size of the input file. I have two questions:
Can I specify the number of the partition rather than let the spark decide how much partitions?
How bad is shuffle when doing the repartition? Is it really expensive for the performance? My case is that I need repartition to "1" to write into the one Parquet file, the partition was "31". How bad is it? why?
apache-spark text-files hive-partitions
asked Nov 19 '18 at 5:19
bd zhangbd zhang
12
add a comment |
The spark will automatically decide the number of partitions base on the size of the input file. I have two questions:
Can I specify the number of the partition rather than let the spark decide how much partitions?
How bad is shuffle when doing the repartition? Is it really expensive for the performance? My case is that I need repartition to "1" to write into the one Parquet file, the partition was "31". How bad is it? why?
apache-spark text-files hive-partitions
asked Nov 19 '18 at 5:19
bd zhangbd zhang
12
The spark will automatically decide the number of partitions base on the size of the input file. I have two questions:
Can I specify the number of the partition rather than let the spark decide how much partitions?
How bad is shuffle when doing the repartition? Is it really expensive for the performance? My case is that I need repartition to "1" to write into the one Parquet file, the partition was "31". How bad is it? why?
apache-spark text-files hive-partitions
apache-spark text-files hive-partitions
asked Nov 19 '18 at 5:19
bd zhangbd zhang
12
asked Nov 19 '18 at 5:19
bd zhangbd zhang
12
asked Nov 19 '18 at 5:19
bd zhangbd zhang
12
asked Nov 19 '18 at 5:19
bd zhangbd zhang
12
asked Nov 19 '18 at 5:19
bd zhangbd zhang
12
12
add a comment |
add a comment |
1 Answer
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Repartition and coalesce are the two functions that are used for repartitioning of data once it is read.
answered Nov 19 '18 at 7:40
BDABDA
2569
I know, I mean the performance.
– bd zhang
Nov 19 '18 at 19:15
add a comment |
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1 Answer
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1 Answer
1
active
oldest
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active
oldest
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active
oldest
votes
Repartition and coalesce are the two functions that are used for repartitioning of data once it is read.
answered Nov 19 '18 at 7:40
BDABDA
2569
I know, I mean the performance.
– bd zhang
Nov 19 '18 at 19:15
add a comment |
Repartition and coalesce are the two functions that are used for repartitioning of data once it is read.
answered Nov 19 '18 at 7:40
BDABDA
2569
I know, I mean the performance.
– bd zhang
Nov 19 '18 at 19:15
add a comment |
Repartition and coalesce are the two functions that are used for repartitioning of data once it is read.
answered Nov 19 '18 at 7:40
BDABDA
2569
Repartition and coalesce are the two functions that are used for repartitioning of data once it is read.
answered Nov 19 '18 at 7:40
BDABDA
2569
answered Nov 19 '18 at 7:40
BDABDA
2569
answered Nov 19 '18 at 7:40
BDABDA
2569
answered Nov 19 '18 at 7:40
BDABDA
2569
2569
I know, I mean the performance.
– bd zhang
Nov 19 '18 at 19:15
add a comment |
I know, I mean the performance.
– bd zhang
Nov 19 '18 at 19:15
I know, I mean the performance.
– bd zhang
Nov 19 '18 at 19:15
I know, I mean the performance.
– bd zhang
Nov 19 '18 at 19:15
add a comment |
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