# spark script to make sorted, and partitioned parquet files
+import pyspark
from pyspark.sql import functions as f
from pyspark.sql import SparkSession
+import os
spark = SparkSession.builder.getOrCreate()
sc = spark.sparkContext
-conf = SparkConf().setAppName("Reddit submissions to parquet")
+conf = pyspark.SparkConf().setAppName("Reddit submissions to parquet")
conf = conf.set("spark.sql.shuffle.partitions",2000)
conf = conf.set('spark.sql.crossJoin.enabled',"true")
conf = conf.set('spark.debug.maxToStringFields',200)
sqlContext = pyspark.SQLContext(sc)
-df = spark.read.parquet("/gscratch/comdata/output/reddit_submissions.parquet_temp")
+df = spark.read.parquet("/gscratch/comdata/output/temp/reddit_submissions.parquet/")
df = df.withColumn("subreddit_2", f.lower(f.col('subreddit')))
df = df.drop('subreddit')
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')
+df2.write.parquet("/gscratch/comdata/output/temp/reddit_submissions_by_subreddit.parquet2", mode='overwrite',compression='snappy')
# # we also want to have parquet files sorted by author then reddit.
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")
+df3.write.parquet("/gscratch/comdata/output/temp/reddit_submissions_by_author.parquet2", mode='overwrite',compression='snappy')