# spark script to make sorted, and partitioned parquet files
-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
-import os
+from pyspark.sql import SparkSession
spark = SparkSession.builder.getOrCreate()
df = df.withColumn("subreddit_hash",f.sha2(f.col("subreddit"), 256)[0:3])
# next we gotta resort it all.
-df2 = df.sort(["subreddit","author","id","Year","Month","Day"],ascending=True)
+df = df.repartition("subreddit")
+df2 = df.sort(["subreddit","CreatedAt","id"],ascending=True)
+df2 = df.sortWithinPartitions(["subreddit","CreatedAt","id"],ascending=True)
df2.write.parquet("/gscratch/comdata/output/reddit_submissions_by_subreddit.parquet", partitionBy=["Year",'Month'], mode='overwrite')
# # we also want to have parquet files sorted by author then reddit.
-df3 = df.sort(["author","CreatedAt","subreddit","id","Year","Month","Day"],ascending=True)
+df = df.repartition("author")
+df3 = df.sort(["author","CreatedAt","id"],ascending=True)
+df3 = df.sortWithinPartitions(["author","CreatedAt","id"],ascending=True)
df3.write.parquet("/gscratch/comdata/output/reddit_submissions_by_author.parquet", partitionBy=["Year",'Month'], mode='overwrite')
os.remove("/gscratch/comdata/output/reddit_submissions.parquet_temp")