Rename spark script to reflect that it is for comments.

[cdsc_reddit.git] / static / git-logo.png

diff --git a/reddit_bz2_2parquet.py b/reddit_bz2_2parquet.py
deleted file mode 100755 (executable)
index 93c3d45..0000000
--- a/reddit_bz2_2parquet.py
+++ /dev/null
@@ -1,132 +0,0 @@
-
-#!/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/comments/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", TimestampType(), 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", TimestampType(), 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.withColumn("subreddit_2", f.lower(f.col('subreddit')))
-df = df.drop('subreddit')
-df = df.withColumnRenamed('subreddit_2','subreddit')
-
-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_comments.parquet", partitionBy=["Year",'Month'],mode='overwrite')