comments_2_parquet_part2.py

   1 #!/usr/bin/env python3
   2
   3 # spark script to make sorted, and partitioned parquet files
   4
   5 from pyspark.sql import functions as f
   6 from pyspark.sql import SparkSession
   7
   8 spark = SparkSession.builder.getOrCreate()
   9
  10 df = spark.read.parquet("/gscratch/comdata/output/reddit_comments.parquet_temp2")
  11
  12 df = df.withColumn("subreddit_2", f.lower(f.col('subreddit')))
  13 df = df.drop('subreddit')
  14 df = df.withColumnRenamed('subreddit_2','subreddit')
  15
  16 df = df.withColumnRenamed("created_utc","CreatedAt")
  17 df = df.withColumn("Month",f.month(f.col("CreatedAt")))
  18 df = df.withColumn("Year",f.year(f.col("CreatedAt")))
  19 df = df.withColumn("Day",f.dayofmonth(f.col("CreatedAt")))
  20
  21 df = df.repartition('subreddit')
  22 df2 = df.sort(["subreddit","CreatedAt","link_id","parent_id","Year","Month","Day"],ascending=True)
  23 df2 = df2.sortWithinPartitions(["subreddit","CreatedAt","link_id","parent_id","Year","Month","Day"],ascending=True)
  24 df2.write.parquet("/gscratch/comdata/output/reddit_comments_by_subreddit.parquet", mode='overwrite', compression='snappy')
  25
  26 df = df.repartition('author')
  27 df3 = df.sort(["author","CreatedAt","subreddit","link_id","parent_id","Year","Month","Day"],ascending=True)
  28 df3 = df3.sortWithinPartitions(["author","CreatedAt","subreddit","link_id","parent_id","Year","Month","Day"],ascending=True)
  29 df3.write.parquet("/gscratch/comdata/output/reddit_comments_by_author.parquet", mode='overwrite')