30 lines
1.4 KiB
Python
Executable File
30 lines
1.4 KiB
Python
Executable File
#!/usr/bin/env python3
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# spark script to make sorted, and partitioned parquet files
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from pyspark.sql import functions as f
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from pyspark.sql import SparkSession
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spark = SparkSession.builder.getOrCreate()
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df = spark.read.parquet("/gscratch/comdata/output/reddit_comments.parquet_temp2")
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df = df.withColumn("subreddit_2", f.lower(f.col('subreddit')))
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df = df.drop('subreddit')
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df = df.withColumnRenamed('subreddit_2','subreddit')
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df = df.withColumnRenamed("created_utc","CreatedAt")
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df = df.withColumn("Month",f.month(f.col("CreatedAt")))
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df = df.withColumn("Year",f.year(f.col("CreatedAt")))
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df = df.withColumn("Day",f.dayofmonth(f.col("CreatedAt")))
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df = df.repartition('subreddit')
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df2 = df.sort(["subreddit","CreatedAt","link_id","parent_id","Year","Month","Day"],ascending=True)
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df2 = df2.sortWithinPartitions(["subreddit","CreatedAt","link_id","parent_id","Year","Month","Day"],ascending=True)
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df2.write.parquet("/gscratch/comdata/output/reddit_comments_by_subreddit.parquet", mode='overwrite', compression='snappy')
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df = df.repartition('author')
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df3 = df.sort(["author","CreatedAt","subreddit","link_id","parent_id","Year","Month","Day"],ascending=True)
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df3 = df3.sortWithinPartitions(["author","CreatedAt","subreddit","link_id","parent_id","Year","Month","Day"],ascending=True)
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df3.write.parquet("/gscratch/comdata/output/reddit_comments_by_author.parquet", mode='overwrite',compression='snappy')
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