Passing an iterator to dask.delayed function









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I'm trying to pass an iterator over a (non-standard) file-like object to a dask.delayed function. When I try to compute(), I get the following message from dask, and the traceback below.



distributed.protocol.pickle - INFO - Failed to serialize 
([<items>, ... ], OrderedDict(..)).
Exception: self.ptr cannot be converted to a Python object for pickling

Traceback (most recent call last):
File "/home/user/miniconda3/lib/python3.6/site-packages/distributed/protocol/pickle.py", line 38, in dumps
result = pickle.dumps(x, protocol=pickle.HIGHEST_PROTOCOL)
File "stringsource", line 2, in pysam.libcbcf.VariantRecord.__reduce_cython__
TypeError: self.ptr cannot be converted to a Python object for pickling


The corresponding part of the source looks like this:



delayed(to_arrow)(vf.fetch(..), ordered_dict)


vf is the file-like object, and vf.fetch(..) returns the iterator over the records present in the file (this is a VCF file, and I'm using the pysam library to read it). I hope this provides sufficient context.



The message from dask shows the iteration happens during the function call instead of inside the function, which led me to believe maybe passing iterators are not okay. So I did a quick check with sum(range(..)), which seems to work. Now I'm stumped, what am I missing?



Providing a minimal working example for this is a bit difficult. But maybe the following helps.



  1. Download a VCF file (and it's index) from here: say, ALL.chrY*vcf.gz,.tbi

  2. pip3 install --user pysam

  3. Open the file: vf = VariantFile('/path/to/file.vcf.gz', mode='r')

  4. Something like this as the iterator: vf.fetch("Y", 2_600_000, 2_700_000)

  5. For the delayed function, you could have an empty loop.









share|improve this question

























    up vote
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    I'm trying to pass an iterator over a (non-standard) file-like object to a dask.delayed function. When I try to compute(), I get the following message from dask, and the traceback below.



    distributed.protocol.pickle - INFO - Failed to serialize 
    ([<items>, ... ], OrderedDict(..)).
    Exception: self.ptr cannot be converted to a Python object for pickling

    Traceback (most recent call last):
    File "/home/user/miniconda3/lib/python3.6/site-packages/distributed/protocol/pickle.py", line 38, in dumps
    result = pickle.dumps(x, protocol=pickle.HIGHEST_PROTOCOL)
    File "stringsource", line 2, in pysam.libcbcf.VariantRecord.__reduce_cython__
    TypeError: self.ptr cannot be converted to a Python object for pickling


    The corresponding part of the source looks like this:



    delayed(to_arrow)(vf.fetch(..), ordered_dict)


    vf is the file-like object, and vf.fetch(..) returns the iterator over the records present in the file (this is a VCF file, and I'm using the pysam library to read it). I hope this provides sufficient context.



    The message from dask shows the iteration happens during the function call instead of inside the function, which led me to believe maybe passing iterators are not okay. So I did a quick check with sum(range(..)), which seems to work. Now I'm stumped, what am I missing?



    Providing a minimal working example for this is a bit difficult. But maybe the following helps.



    1. Download a VCF file (and it's index) from here: say, ALL.chrY*vcf.gz,.tbi

    2. pip3 install --user pysam

    3. Open the file: vf = VariantFile('/path/to/file.vcf.gz', mode='r')

    4. Something like this as the iterator: vf.fetch("Y", 2_600_000, 2_700_000)

    5. For the delayed function, you could have an empty loop.









    share|improve this question























      up vote
      0
      down vote

      favorite









      up vote
      0
      down vote

      favorite











      I'm trying to pass an iterator over a (non-standard) file-like object to a dask.delayed function. When I try to compute(), I get the following message from dask, and the traceback below.



      distributed.protocol.pickle - INFO - Failed to serialize 
      ([<items>, ... ], OrderedDict(..)).
      Exception: self.ptr cannot be converted to a Python object for pickling

      Traceback (most recent call last):
      File "/home/user/miniconda3/lib/python3.6/site-packages/distributed/protocol/pickle.py", line 38, in dumps
      result = pickle.dumps(x, protocol=pickle.HIGHEST_PROTOCOL)
      File "stringsource", line 2, in pysam.libcbcf.VariantRecord.__reduce_cython__
      TypeError: self.ptr cannot be converted to a Python object for pickling


      The corresponding part of the source looks like this:



      delayed(to_arrow)(vf.fetch(..), ordered_dict)


      vf is the file-like object, and vf.fetch(..) returns the iterator over the records present in the file (this is a VCF file, and I'm using the pysam library to read it). I hope this provides sufficient context.



      The message from dask shows the iteration happens during the function call instead of inside the function, which led me to believe maybe passing iterators are not okay. So I did a quick check with sum(range(..)), which seems to work. Now I'm stumped, what am I missing?



      Providing a minimal working example for this is a bit difficult. But maybe the following helps.



      1. Download a VCF file (and it's index) from here: say, ALL.chrY*vcf.gz,.tbi

      2. pip3 install --user pysam

      3. Open the file: vf = VariantFile('/path/to/file.vcf.gz', mode='r')

      4. Something like this as the iterator: vf.fetch("Y", 2_600_000, 2_700_000)

      5. For the delayed function, you could have an empty loop.









      share|improve this question













      I'm trying to pass an iterator over a (non-standard) file-like object to a dask.delayed function. When I try to compute(), I get the following message from dask, and the traceback below.



      distributed.protocol.pickle - INFO - Failed to serialize 
      ([<items>, ... ], OrderedDict(..)).
      Exception: self.ptr cannot be converted to a Python object for pickling

      Traceback (most recent call last):
      File "/home/user/miniconda3/lib/python3.6/site-packages/distributed/protocol/pickle.py", line 38, in dumps
      result = pickle.dumps(x, protocol=pickle.HIGHEST_PROTOCOL)
      File "stringsource", line 2, in pysam.libcbcf.VariantRecord.__reduce_cython__
      TypeError: self.ptr cannot be converted to a Python object for pickling


      The corresponding part of the source looks like this:



      delayed(to_arrow)(vf.fetch(..), ordered_dict)


      vf is the file-like object, and vf.fetch(..) returns the iterator over the records present in the file (this is a VCF file, and I'm using the pysam library to read it). I hope this provides sufficient context.



      The message from dask shows the iteration happens during the function call instead of inside the function, which led me to believe maybe passing iterators are not okay. So I did a quick check with sum(range(..)), which seems to work. Now I'm stumped, what am I missing?



      Providing a minimal working example for this is a bit difficult. But maybe the following helps.



      1. Download a VCF file (and it's index) from here: say, ALL.chrY*vcf.gz,.tbi

      2. pip3 install --user pysam

      3. Open the file: vf = VariantFile('/path/to/file.vcf.gz', mode='r')

      4. Something like this as the iterator: vf.fetch("Y", 2_600_000, 2_700_000)

      5. For the delayed function, you could have an empty loop.






      python dask dask-delayed






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      asked Nov 10 at 7:04









      suvayu

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          1 Answer
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          The short answer is: restructure your delayed function such that the file opening stage happens inside the function, and you instead pass the arguments (e.g., path) required to point to that particular file.



          If you are interested, you can look into how Dask does this internally, the class dask.bytes.core.OpenFile, which is a serializable thing that defers opening until it is used in a with block. That's one convenient way to do it, but you can probably do something simpler.






          share|improve this answer




















          • I did restructure my code to open the file inside the function as a workaround. But that has a cost, it's a rather large gziped file, which now has to be decompressed multiple times. Seeking to the right record is probably okay, since there's an external index. I'll have a look at OpenFile, thanks for the pointer.
            – suvayu
            Nov 18 at 19:05










          • Yes, gzipped file will not allow parallel/random access, and you might want to try other formats or chunking into several files.
            – mdurant
            Nov 18 at 22:28










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          1 Answer
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          active

          oldest

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          1 Answer
          1






          active

          oldest

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          active

          oldest

          votes






          active

          oldest

          votes








          up vote
          1
          down vote













          The short answer is: restructure your delayed function such that the file opening stage happens inside the function, and you instead pass the arguments (e.g., path) required to point to that particular file.



          If you are interested, you can look into how Dask does this internally, the class dask.bytes.core.OpenFile, which is a serializable thing that defers opening until it is used in a with block. That's one convenient way to do it, but you can probably do something simpler.






          share|improve this answer




















          • I did restructure my code to open the file inside the function as a workaround. But that has a cost, it's a rather large gziped file, which now has to be decompressed multiple times. Seeking to the right record is probably okay, since there's an external index. I'll have a look at OpenFile, thanks for the pointer.
            – suvayu
            Nov 18 at 19:05










          • Yes, gzipped file will not allow parallel/random access, and you might want to try other formats or chunking into several files.
            – mdurant
            Nov 18 at 22:28














          up vote
          1
          down vote













          The short answer is: restructure your delayed function such that the file opening stage happens inside the function, and you instead pass the arguments (e.g., path) required to point to that particular file.



          If you are interested, you can look into how Dask does this internally, the class dask.bytes.core.OpenFile, which is a serializable thing that defers opening until it is used in a with block. That's one convenient way to do it, but you can probably do something simpler.






          share|improve this answer




















          • I did restructure my code to open the file inside the function as a workaround. But that has a cost, it's a rather large gziped file, which now has to be decompressed multiple times. Seeking to the right record is probably okay, since there's an external index. I'll have a look at OpenFile, thanks for the pointer.
            – suvayu
            Nov 18 at 19:05










          • Yes, gzipped file will not allow parallel/random access, and you might want to try other formats or chunking into several files.
            – mdurant
            Nov 18 at 22:28












          up vote
          1
          down vote










          up vote
          1
          down vote









          The short answer is: restructure your delayed function such that the file opening stage happens inside the function, and you instead pass the arguments (e.g., path) required to point to that particular file.



          If you are interested, you can look into how Dask does this internally, the class dask.bytes.core.OpenFile, which is a serializable thing that defers opening until it is used in a with block. That's one convenient way to do it, but you can probably do something simpler.






          share|improve this answer












          The short answer is: restructure your delayed function such that the file opening stage happens inside the function, and you instead pass the arguments (e.g., path) required to point to that particular file.



          If you are interested, you can look into how Dask does this internally, the class dask.bytes.core.OpenFile, which is a serializable thing that defers opening until it is used in a with block. That's one convenient way to do it, but you can probably do something simpler.







          share|improve this answer












          share|improve this answer



          share|improve this answer










          answered Nov 18 at 15:43









          mdurant

          9,74611435




          9,74611435











          • I did restructure my code to open the file inside the function as a workaround. But that has a cost, it's a rather large gziped file, which now has to be decompressed multiple times. Seeking to the right record is probably okay, since there's an external index. I'll have a look at OpenFile, thanks for the pointer.
            – suvayu
            Nov 18 at 19:05










          • Yes, gzipped file will not allow parallel/random access, and you might want to try other formats or chunking into several files.
            – mdurant
            Nov 18 at 22:28
















          • I did restructure my code to open the file inside the function as a workaround. But that has a cost, it's a rather large gziped file, which now has to be decompressed multiple times. Seeking to the right record is probably okay, since there's an external index. I'll have a look at OpenFile, thanks for the pointer.
            – suvayu
            Nov 18 at 19:05










          • Yes, gzipped file will not allow parallel/random access, and you might want to try other formats or chunking into several files.
            – mdurant
            Nov 18 at 22:28















          I did restructure my code to open the file inside the function as a workaround. But that has a cost, it's a rather large gziped file, which now has to be decompressed multiple times. Seeking to the right record is probably okay, since there's an external index. I'll have a look at OpenFile, thanks for the pointer.
          – suvayu
          Nov 18 at 19:05




          I did restructure my code to open the file inside the function as a workaround. But that has a cost, it's a rather large gziped file, which now has to be decompressed multiple times. Seeking to the right record is probably okay, since there's an external index. I'll have a look at OpenFile, thanks for the pointer.
          – suvayu
          Nov 18 at 19:05












          Yes, gzipped file will not allow parallel/random access, and you might want to try other formats or chunking into several files.
          – mdurant
          Nov 18 at 22:28




          Yes, gzipped file will not allow parallel/random access, and you might want to try other formats or chunking into several files.
          – mdurant
          Nov 18 at 22:28

















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