From: Nate E TeBlunthuis <nathante@n2347.hyak.local>
Date: Thu, 2 Jul 2020 21:06:36 +0000 (-0700)
Subject: Extract variables from pushshift comment to parquet
X-Git-Url: https://code.communitydata.science/cdsc_reddit.git/commitdiff_plain/64e9408a65a5b40c4a62a904017dec14c80cc77f?ds=sidebyside

Extract variables from pushshift comment to parquet

A spark script
---

64e9408a65a5b40c4a62a904017dec14c80cc77f
diff --git a/reddit_bz2_2parquet.py b/reddit_bz2_2parquet.py
new file mode 100755
index 0000000..f6aaac4
--- /dev/null
+++ b/reddit_bz2_2parquet.py
@@ -0,0 +1,128 @@
+
+#!/usr/bin/env python3
+import pyspark
+from pyspark.sql import functions as f
+from pyspark.sql.types import *
+from pyspark import SparkConf, SparkContext
+from pyspark.sql import SparkSession, SQLContext
+
+conf = SparkConf().setAppName("Reddit to bz2")
+conf = conf.set('spark.sql.crossJoin.enabled',"true")
+
+spark = SparkSession.builder.getOrCreate()
+sc = spark.sparkContext
+
+globstr = "/gscratch/comdata/raw_data/reddit_dumps/RC_20*.bz2"
+
+import re
+import glob
+import json
+from subprocess import Popen, PIPE
+from datetime import datetime
+import pandas as pd
+from multiprocessing import Pool
+
+def open_fileset(globstr):
+    files = glob.glob(globstr)
+    for fh in files:
+        print(fh)
+        lines = open_input_file(fh)
+        for line in lines:
+            yield json.loads(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',input_filename]
+    try:
+        input_file = Popen(cmd, stdout=PIPE).stdout
+    except NameError:
+        input_file = open(input_filename, 'r')
+    return input_file
+
+def include_row(comment, subreddits_to_track = []):
+    
+    subreddit = comment['subreddit'].lower()
+
+    return subreddit in subreddits_to_track
+
+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')])
+    
+sqlContext = pyspark.SQLContext(sc)
+
+comments = sc.textFile(globstr)
+
+schema = StructType().add("id", StringType(), True)
+schema = schema.add("subreddit", StringType(), True)
+schema = schema.add("link_id", StringType(), True)
+schema = schema.add("parent_id", StringType(), True)
+schema = schema.add("created_utc", DateType(), True)
+schema = schema.add("author", StringType(), True)
+schema = schema.add("ups", LongType(), True)
+schema = schema.add("downs", LongType(), True)
+schema = schema.add("score", LongType(), True)
+schema = schema.add("edited", BooleanType(), True)
+schema = schema.add("time_edited", DateType(), True)
+schema = schema.add("subreddit_type", StringType(), True)
+schema = schema.add("subreddit_id", StringType(), True)
+schema = schema.add("stickied", BooleanType(), True)
+schema = schema.add("is_submitter", BooleanType(), True)
+schema = schema.add("body", StringType(), True)
+schema = schema.add("error", StringType(), True)
+
+rows = comments.map(lambda c: parse_comment(c, schema.fieldNames()))
+#!/usr/bin/env python3
+
+df =  sqlContext.createDataFrame(rows, schema)
+
+df = df.withColumnRenamed("created_utc","CreatedAt")
+df = df.withColumn("Month",f.month(f.col("CreatedAt")))
+df = df.withColumn("Year",f.year(f.col("CreatedAt")))
+df = df.withColumn("Day",f.dayofmonth(f.col("CreatedAt")))
+df = df.withColumn("subreddit_hash",f.sha2(f.col("subreddit"), 256)[0:3])
+df = df.sort(["subreddit","author","link_id","parent_id","Year","Month","Day"],ascending=True)
+df.write.parquet("/gscratch/comdata/output/reddit_dumps/reddit_comments.parquet", partitionBy=["Year",'Month'],mode='overwrite')