clean up comments in streaming example.
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pimport pyarrow.dataset as ds
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from itertools import chain, groupby, islice
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import pyarrow.dataset as ds
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from itertools import groupby
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# A pyarrow dataset abstracts reading, writing, or filtering a parquet file. It does not read dataa into memory.
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#dataset = ds.dataset(pathlib.Path('/gscratch/comdata/output/reddit_submissions_by_subreddit.parquet/'), format='parquet', partitioning='hive')
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dataset = ds.dataset('/gscratch/comdata/output/reddit_submissions_by_author.parquet', format='parquet')
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# let's get all the comments to two subreddits:
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subreddits_to_pull = ['seattlewa','seattle']
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# instead of loading the data into a pandas dataframe all at once we can stream it. This lets us start working with it while it is read.
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# instead of loading the data into a pandas dataframe all at once we can stream it.
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scan_tasks = dataset.scan(filter = ds.field('subreddit').isin(subreddits_to_pull), columns=['id','subreddit','CreatedAt','author','ups','downs','score','subreddit_id','stickied','title','url','is_self','selftext'])
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# simple function to execute scantasks and create a stream of rows
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# simple function to execute scantasks and generate rows
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def iterate_rows(scan_tasks):
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for st in scan_tasks:
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for rb in st.execute():
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