X-Git-Url: https://code.communitydata.science/cdsc_reddit.git/blobdiff_plain/e6294b5b90135a5163441c8dc62252dd6a188412..refs/heads/synced/excise_reindex:/datasets/comments_2_parquet_part1.py

diff --git a/datasets/comments_2_parquet_part1.py b/datasets/comments_2_parquet_part1.py
index d3c7b7c..6960986 100755
--- a/datasets/comments_2_parquet_part1.py
+++ b/datasets/comments_2_parquet_part1.py
@@ -1,12 +1,15 @@
 #!/usr/bin/env python3
+import os
 import json
 from datetime import datetime
 from multiprocessing import Pool
 from itertools import islice
-from helper import find_dumps, open_fileset
+from helper import open_input_file, find_dumps
 import pandas as pd
 import pyarrow as pa
 import pyarrow.parquet as pq
+from pathlib import Path
+import fire
 
 def parse_comment(comment, names= None):
     if names is None:
@@ -46,70 +49,63 @@ def parse_comment(comment, names= None):
 
 #    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 = int(1e4)
-
-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),
-])
-
-from pathlib import Path
-p = Path("/gscratch/comdata/output/reddit_comments.parquet_temp2")
-
-if not p.is_dir():
-    if p.exists():
-        p.unlink()
-    p.mkdir()
-
-else:
-    list(map(Path.unlink,p.glob('*')))
-
-part_size = int(1e7)
-part = 1
-n_output = 0
-writer = pq.ParquetWriter(f"/gscratch/comdata/output/reddit_comments.parquet_temp2/part_{part}.parquet",schema=schema,compression='snappy',flavor='spark')
-
-while True:
-    if n_output > part_size:
-        if part > 1:
-            writer.close()
-
-        part = part + 1
-        n_output = 0
-    
-        writer = pq.ParquetWriter(f"/gscratch/comdata/output/reddit_comments.parquet_temp2/part_{part}.parquet",schema=schema,compression='snappy',flavor='spark')
-
-    n_output += N
-    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)
-
+def parse_dump(partition):
+
+    dumpdir = f"/gscratch/comdata/raw_data/reddit_dumps/comments/{partition}"
+
+    stream = open_input_file(dumpdir)
+    rows = map(parse_comment, stream)
+
+    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),
+    ])
+
+    p = Path("/gscratch/comdata/output/temp/reddit_comments.parquet")
+    p.mkdir(exist_ok=True,parents=True)
+
+    N=10000
+    with pq.ParquetWriter(f"/gscratch/comdata/output/temp/reddit_comments.parquet/{partition}.parquet",
+                          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/comments", overwrite=True):
+    files = list(find_dumps(dumpdir,base_pattern="RC_20*.*"))
+    with open("comments_task_list.sh",'w') as of:
+        for fpath in files:
+            partition = os.path.split(fpath)[1]
+            if (not Path(f"/gscratch/comdata/output/temp/reddit_comments.parquet/{partition}.parquet").exists()) or (overwrite is True):
+                of.write(f'python3 comments_2_parquet_part1.py parse_dump {partition}\n')
+
+
+if __name__ == '__main__':
+    fire.Fire({'parse_dump':parse_dump,
+              'gen_task_list':gen_task_list})