+++ /dev/null
-#!/usr/bin/env python3
-import json
-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
-
-globstr_base = "/gscratch/comdata/reddit_dumps/comments/RC_20*"
-
-def parse_comment(comment, names= None):
- if names is None:
- names = ["id","subreddit","link_id","parent_id","created_utc","author","ups","downs","score","edited","subreddit_type","subreddit_id","stickied","is_submitter","body","error"]
-
- try:
- comment = json.loads(comment)
- except json.decoder.JSONDecodeError as e:
- print(e)
- print(comment)
- row = [None for _ in names]
- row[-1] = "json.decoder.JSONDecodeError|{0}|{1}".format(e,comment)
- return tuple(row)
-
- row = []
- for name in names:
- if name == 'created_utc':
- row.append(datetime.fromtimestamp(int(comment['created_utc']),tz=None))
- elif name == 'edited':
- val = comment[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 not in comment:
- row.append(None)
-
- else:
- row.append(comment[name])
-
- return tuple(row)
-
-
-# conf = sc._conf.setAll([('spark.executor.memory', '20g'), ('spark.app.name', 'extract_reddit_timeline'), ('spark.executor.cores', '26'), ('spark.cores.max', '26'), ('spark.driver.memory','84g'),('spark.driver.maxResultSize','0'),('spark.local.dir','/gscratch/comdata/spark_tmp')])
-
-dumpdir = "/gscratch/comdata/raw_data/reddit_dumps/comments"
-
-files = list(find_dumps(dumpdir, base_pattern="RC_20*.*"))
-
-pool = Pool(28)
-
-stream = open_fileset(files)
-
-N = 100000
-
-rows = pool.imap_unordered(parse_comment, stream, chunksize=int(N/28))
-
-schema = pa.schema([
- pa.field('id', pa.string(), nullable=True),
- pa.field('subreddit', pa.string(), nullable=True),
- pa.field('link_id', pa.string(), nullable=True),
- pa.field('parent_id', pa.string(), nullable=True),
- pa.field('created_utc', pa.timestamp('ms'), nullable=True),
- pa.field('author', pa.string(), nullable=True),
- pa.field('ups', pa.int64(), nullable=True),
- pa.field('downs', pa.int64(), nullable=True),
- pa.field('score', 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('stickied', pa.bool_(), nullable=True),
- pa.field('is_submitter', pa.bool_(), nullable=True),
- pa.field('body', pa.string(), nullable=True),
- pa.field('error', pa.string(), nullable=True),
-])
-
-with pq.ParquetWriter("/gscratch/comdata/output/reddit_comments.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()