X-Git-Url: https://code.communitydata.science/cdsc_reddit.git/blobdiff_plain/4ec9c1424711eb81edf6b6431d5dfae360013174..a60747292e91a47d122158659182f82bfd2e922a:/submissions_2_parquet_part1.py diff --git a/submissions_2_parquet_part1.py b/submissions_2_parquet_part1.py index 10bb5f0..16d1988 100755 --- a/submissions_2_parquet_part1.py +++ b/submissions_2_parquet_part1.py @@ -4,88 +4,30 @@ # 1. from gz to arrow parquet (this script) # 2. from arrow parquet to spark parquet (submissions_2_parquet_part2.py) -from collections import defaultdict -from os import path -import glob -import json -import re from datetime import datetime -from subprocess import Popen, PIPE -from multiprocessing import Pool, SimpleQueue - -dumpdir = "/gscratch/comdata/raw_data/reddit_dumps/submissions" - -def find_json_files(dumpdir): - base_pattern = "RS_20*.*" - - files = glob.glob(path.join(dumpdir,base_pattern)) - - # build a dictionary of possible extensions for each dump - dumpext = defaultdict(list) - for fpath in files: - fname, ext = path.splitext(fpath) - dumpext[fname].append(ext) - - ext_priority = ['.zst','.xz','.bz2'] - - for base, exts in dumpext.items(): - found = False - if len(exts) == 1: - yield base + exts[0] - found = True - else: - for ext in ext_priority: - if ext in exts: - yield base + ext - found = True - assert(found == True) - -files = list(find_json_files(dumpdir)) - -def read_file(fh): - lines = open_input_file(fh) - for line in lines: - yield line - -def open_fileset(files): - for fh in files: - print(fh) - lines = open_input_file(fh) - for line in lines: - yield line - -def open_input_file(input_filename): - if re.match(r'.*\.7z$', input_filename): - cmd = ["7za", "x", "-so", input_filename, '*'] - elif re.match(r'.*\.gz$', input_filename): - cmd = ["zcat", input_filename] - elif re.match(r'.*\.bz2$', input_filename): - cmd = ["bzcat", "-dk", input_filename] - elif re.match(r'.*\.bz', input_filename): - cmd = ["bzcat", "-dk", input_filename] - elif re.match(r'.*\.xz', input_filename): - cmd = ["xzcat",'-dk', '-T 20',input_filename] - elif re.match(r'.*\.zst',input_filename): - cmd = ['zstd','-dck', input_filename] - try: - input_file = Popen(cmd, stdout=PIPE).stdout - except NameError as e: - print(e) - input_file = open(input_filename, 'r') - return input_file +from multiprocessing import Pool +from itertools import islice +from helper import find_dumps, open_fileset +import pandas as pd +import pyarrow as pa +import pyarrow.parquet as pq +import simdjson +import fire +import os +parser = simdjson.Parser() def parse_submission(post, names = None): if names is None: - names = ['id','author','subreddit','title','created_utc','permalink','url','domain','score','ups','downs','over_18','has_media','selftext','retrieved_on','num_comments','gilded','edited','time_edited','subreddit_type','subreddit_id','subreddit_subscribers','name','is_self','stickied','is_submitter','quarantine','error'] + names = ['id','author','subreddit','title','created_utc','permalink','url','domain','score','ups','downs','over_18','has_media','selftext','retrieved_on','num_comments','gilded','edited','time_edited','subreddit_type','subreddit_id','subreddit_subscribers','name','is_self','stickied','quarantine','error'] try: - post = json.loads(post) - except (json.decoder.JSONDecodeError, UnicodeDecodeError) as e: + post = parser.parse(post) + except (ValueError) as e: # print(e) # print(post) row = [None for _ in names] - row[-1] = "json.decoder.JSONDecodeError|{0}|{1}".format(e,post) + row[-1] = "Error parsing json|{0}|{1}".format(e,post) return tuple(row) row = [] @@ -116,57 +58,61 @@ def parse_submission(post, names = None): row.append(post[name]) return tuple(row) -pool = Pool(28) - -stream = open_fileset(files) - -N = 100000 - -rows = pool.imap_unordered(parse_submission, stream, chunksize=int(N/28)) - -from itertools import islice -import pandas as pd -import pyarrow as pa -import pyarrow.parquet as pq - -schema = pa.schema([ - pa.field('id', pa.string(),nullable=True), - pa.field('author', pa.string(),nullable=True), - pa.field('subreddit', pa.string(),nullable=True), - pa.field('title', pa.string(),nullable=True), - pa.field('created_utc', pa.timestamp('ms'),nullable=True), - pa.field('permalink', pa.string(),nullable=True), - pa.field('url', pa.string(),nullable=True), - pa.field('domain', pa.string(),nullable=True), - pa.field('score', pa.int64(),nullable=True), - pa.field('ups', pa.int64(),nullable=True), - pa.field('downs', pa.int64(),nullable=True), - pa.field('over_18', pa.bool_(),nullable=True), - pa.field('has_media',pa.bool_(),nullable=True), - pa.field('selftext',pa.string(),nullable=True), - pa.field('retrieved_on', pa.timestamp('ms'),nullable=True), - pa.field('num_comments', pa.int64(),nullable=True), - pa.field('gilded',pa.int64(),nullable=True), - pa.field('edited',pa.bool_(),nullable=True), - pa.field('time_edited',pa.timestamp('ms'),nullable=True), - pa.field('subreddit_type',pa.string(),nullable=True), - pa.field('subreddit_id',pa.string(),nullable=True), - pa.field('subreddit_subscribers',pa.int64(),nullable=True), - pa.field('name',pa.string(),nullable=True), - pa.field('is_self',pa.bool_(),nullable=True), - pa.field('stickied',pa.bool_(),nullable=True), - pa.field('is_submitter',pa.bool_(),nullable=True), - pa.field('quarantine',pa.bool_(),nullable=True), - pa.field('error',pa.string(),nullable=True)]) - -with pq.ParquetWriter("/gscratch/comdata/output/reddit_submissions.parquet_temp",schema=schema,compression='snappy',flavor='spark') as writer: - while True: - chunk = islice(rows,N) - pddf = pd.DataFrame(chunk, columns=schema.names) - table = pa.Table.from_pandas(pddf,schema=schema) - if table.shape[0] == 0: - break - writer.write_table(table) - - writer.close() - +def parse_dump(partition): + + N=10000 + stream = open_fileset([f"/gscratch/comdata/raw_data/reddit_dumps/submissions/{partition}"]) + rows = map(parse_submission,stream) + schema = pa.schema([ + pa.field('id', pa.string(),nullable=True), + pa.field('author', pa.string(),nullable=True), + pa.field('subreddit', pa.string(),nullable=True), + pa.field('title', pa.string(),nullable=True), + pa.field('created_utc', pa.timestamp('ms'),nullable=True), + pa.field('permalink', pa.string(),nullable=True), + pa.field('url', pa.string(),nullable=True), + pa.field('domain', pa.string(),nullable=True), + pa.field('score', pa.int64(),nullable=True), + pa.field('ups', pa.int64(),nullable=True), + pa.field('downs', pa.int64(),nullable=True), + pa.field('over_18', pa.bool_(),nullable=True), + pa.field('has_media',pa.bool_(),nullable=True), + pa.field('selftext',pa.string(),nullable=True), + pa.field('retrieved_on', pa.timestamp('ms'),nullable=True), + pa.field('num_comments', pa.int64(),nullable=True), + pa.field('gilded',pa.int64(),nullable=True), + pa.field('edited',pa.bool_(),nullable=True), + pa.field('time_edited',pa.timestamp('ms'),nullable=True), + pa.field('subreddit_type',pa.string(),nullable=True), + pa.field('subreddit_id',pa.string(),nullable=True), + pa.field('subreddit_subscribers',pa.int64(),nullable=True), + pa.field('name',pa.string(),nullable=True), + pa.field('is_self',pa.bool_(),nullable=True), + pa.field('stickied',pa.bool_(),nullable=True), + pa.field('quarantine',pa.bool_(),nullable=True), + pa.field('error',pa.string(),nullable=True)]) + + if not os.path.exists("/gscratch/comdata/output/temp/reddit_submissions.parquet/"): + os.mkdir("/gscratch/comdata/output/temp/reddit_submissions.parquet/") + + with pq.ParquetWriter(f"/gscratch/comdata/output/temp/reddit_submissions.parquet/{partition}",schema=schema,compression='snappy',flavor='spark') as writer: + while True: + chunk = islice(rows,N) + pddf = pd.DataFrame(chunk, columns=schema.names) + table = pa.Table.from_pandas(pddf,schema=schema) + if table.shape[0] == 0: + break + writer.write_table(table) + + writer.close() + +def gen_task_list(dumpdir="/gscratch/comdata/raw_data/reddit_dumps/submissions"): + files = list(find_dumps(dumpdir,base_pattern="RS_20*.*")) + with open("parse_submissions_task_list",'w') as of: + for fpath in files: + partition = os.path.split(fpath)[1] + of.write(f'python3 submissions_2_parquet_part1.py parse_dump {partition}\n') + +if __name__ == "__main__": + fire.Fire({'parse_dump':parse_dump, + 'gen_task_list':gen_task_list})