--- /dev/null
+#!/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 datetime import datetime
+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','quarantine','error']
+
+ try:
+ post = parser.parse(post)
+ except (ValueError) as e:
+ # print(e)
+ # print(post)
+ row = [None for _ in names]
+ row[-1] = "Error parsing json|{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)
+
+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})