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from pyspark import SparkContext | |
def main(): | |
sc = SparkContext(appName="Test Compression") | |
# RDD has to be key, value pairs | |
data = sc.parallelize([ | |
("key1", "value1"), | |
("key2", "value2"), | |
("key3", "value3"), | |
]) | |
data.saveAsHadoopFile("/tmp/spark_compressed", | |
"org.apache.hadoop.mapred.TextOutputFormat", | |
compressionCodecClass="org.apache.hadoop.io.compress.GzipCodec") | |
sc.stop() | |
if __name__ == "__main__": | |
main() |
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