split-files | Split files recursively for a given separator | Plugin library
kandi X-RAY | split-files Summary
kandi X-RAY | split-files Summary
Split files recursively for a given separator
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QUESTION
In order to extract some fastq data from NCBI's sequence read archive I've downloaded and installed the sra toolkit for Windows. In order to test if it is setup correctly, I opened cmd, navigated to the directory and typed in the command fasterq-dump --split-files SRR7647019
. It downloads the file SRR7647019.sra as expected and splits it into fastq files.
Then I've tried the same command in RStudio, wrapping the system()
command around it: system(fasterq-dump --split-files SRR7647019)
. However, R always returns
An error occured: unrecognized tool FASTER~2.EXE If this continues to happen, please contact the SRA Toolkit at https://trace.ncbi.nlm.nih.gov/Traces/sra/
as well as the number 75 (probably an error code).
Any idea why I'm not able to run fasterq-dump.exe from R? How could it be solved?
Thanks a lot for suggestions in advance!
...ANSWER
Answered 2021-Sep-29 at 13:06Sometimes it helps to call the terminal shell explicitly to bypass the environmental variables which might get overwritten by RStudio:
QUESTION
rule A
uses the split
command in a shell
directive.
The number of files generated by rule A
depends on a user specified value from the config and is thus known.
In this question there is a difference because the number of output files is unknown, but there is a reference to the dynamic()
keyword. Apparently this has been replaced by the use of checkpoint
. Is this really the correct way to go in this scenario? There is also something like scattergatter
but the example is not clear to me.
ANSWER
Answered 2021-Aug-13 at 20:23Since the number of chunks is known beforehand, you can set the number of output files in rule A
from the chunks parameter using an array:
QUESTION
I am trying to split a huge XML file into small XML files using pyspark. I need the data to be written into buckets alphabetically.
Suppose if the name starts with a
then it would be written to an s3 bucket s3://bucket_name/a
. If there is no name that starts with b
it should still create a folder with name b in the same bucket, that is s3://bucket_name/b
So far the code I have is
...ANSWER
Answered 2021-Jun-30 at 20:05To reduce the time use df.persist()
before the for loop
as suggested by @Steven
For the small files issue you can use coalesce but this is expensive operation.
QUESTION
I am trying to optimize a for loop to download files from a website based in a file with SPECIES names and their corresponding numbers of ACCESSION. I want the loop to work first with the first species and the first accession number of the each file and so on... I tried the basic rule but it is not working.
...ANSWER
Answered 2021-Jan-29 at 02:01Do you have two loops and just one done and do you have that working?
And as @Mheni said it seems that you aren't using the loop's variables
Here an example of a simple script with two loops one inside the other
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