X-Git-Url: https://code.communitydata.science/cdsc_reddit.git/blobdiff_plain/4eb82d2740b67de4bd2b90b9d88659e9311cff6d..4ec9c1424711eb81edf6b6431d5dfae360013174:/submissions_2_parquet_part1.py diff --git a/submissions_2_parquet_part1.py b/submissions_2_parquet_part1.py new file mode 100755 index 0000000..10bb5f0 --- /dev/null +++ b/submissions_2_parquet_part1.py @@ -0,0 +1,172 @@ +#!/usr/bin/env python3 + +# two stages: +# 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 + + +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'] + + try: + post = json.loads(post) + except (json.decoder.JSONDecodeError, UnicodeDecodeError) as e: + # print(e) + # print(post) + row = [None for _ in names] + row[-1] = "json.decoder.JSONDecodeError|{0}|{1}".format(e,post) + return tuple(row) + + row = [] + + for name in names: + if name == 'created_utc' or name == 'retrieved_on': + val = post.get(name,None) + if val is not None: + row.append(datetime.fromtimestamp(int(post[name]),tz=None)) + else: + row.append(None) + elif name == 'edited': + val = post[name] + if type(val) == bool: + row.append(val) + row.append(None) + else: + row.append(True) + row.append(datetime.fromtimestamp(int(val),tz=None)) + elif name == "time_edited": + continue + elif name == 'has_media': + row.append(post.get('media',None) is not None) + + elif name not in post: + row.append(None) + else: + 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() +