Created
January 14, 2017 16:40
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How to process Event Hub Archive's files using Spark
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from pyspark.sql import SparkSession | |
spark = SparkSession \ | |
.builder \ | |
.appName("spark-avro-json-sample") \ | |
.config('spark.hadoop.avro.mapred.ignore.inputs.without.extension', 'false') \ | |
.getOrCreate() | |
#storage->avro | |
avroDf = spark.read.format("com.databricks.spark.avro").load(in_path) | |
#avro->json | |
jsonRdd = avroDf.select(avroDf.Body.cast("string")).rdd.map(lambda x: x[0]) | |
data = spark.read.json(jsonRdd) # in real world it's better to specify a schema for the JSON | |
#do whatever you want with `data` |
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