add note to try other tf normalization strategies.

[cdsc_reddit.git] / comments_2_parquet_part2.py

diff --git a/comments_2_parquet_part2.py b/comments_2_parquet_part2.py
deleted file mode 100755 (executable)
index 62580ac..0000000
--- a/comments_2_parquet_part2.py
+++ /dev/null
@@ -1,29 +0,0 @@
-#!/usr/bin/env python3
-
-# spark script to make sorted, and partitioned parquet files 
-
-from pyspark.sql import functions as f
-from pyspark.sql import SparkSession
-
-spark = SparkSession.builder.getOrCreate()
-
-df = spark.read.parquet("/gscratch/comdata/output/reddit_comments.parquet_temp2")
-
-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.repartition('subreddit')
-df2 = df.sort(["subreddit","CreatedAt","link_id","parent_id","Year","Month","Day"],ascending=True)
-df2 = df2.sortWithinPartitions(["subreddit","CreatedAt","link_id","parent_id","Year","Month","Day"],ascending=True)
-df2.write.parquet("/gscratch/comdata/output/reddit_comments_by_subreddit.parquet", mode='overwrite', compression='snappy')
-
-df = df.repartition('author')
-df3 = df.sort(["author","CreatedAt","subreddit","link_id","parent_id","Year","Month","Day"],ascending=True)
-df3 = df3.sortWithinPartitions(["author","CreatedAt","subreddit","link_id","parent_id","Year","Month","Day"],ascending=True)
-df3.write.parquet("/gscratch/comdata/output/reddit_comments_by_author.parquet", mode='overwrite',compression='snappy')