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20170927 pydata tokyo データサイエンスな皆様に送る分散処理の基礎の基礎、そしてPySparkの勘所
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Ryuji Tamagawa
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2017/9/27 PyData.Tokyoでのプレゼンです。
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20170927 pydata tokyo データサイエンスな皆様に送る分散処理の基礎の基礎、そしてPySparkの勘所
1.
PySpark @
2.
▸ facebook :
Ryuji Tamagawa ▸ Twitter : tamagawa_ryuji ▸ FB pydata.tokyo ▸ Twitter
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8 11
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Wes Mckinney blog ▸
http://qiita.com/tamagawa-ryuji
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▸ ▸ CPU ▸ PyData.Tokyo ▸ PySpark
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▸ ▸ ▸ Spark Hadoop ▸
PySpark ▸ Spark/Hadoop PyData
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▸ ▸ ▸
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PySpark ▸ ▸ SSD ▸ CPU ▸ Parquet S3 CPU
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https://www.slideshare.net/kumagi/ss-78765920/4
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▸ ▸ ▸ groupby ▸
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▸ ▸
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N ▸ N N ▸ …
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… ▸
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▸ ▸ ▸ CPU/ ▸ CPU/ ▸
1
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Hadoop Spark ▸ ▸ ▸ n
/n
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▸ ▸ ▸ Amazon EMR ▸
Microsoft Azure HDInsight ▸ Cloudera Altus ▸ Databricks Community Edition Spark ▸ PyData + Jupyter PySpark
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Spark Hadoop
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Spark Hadoop Hadoop0.x Spark OS HDFS MapReduce OS HDFS Hive
e.t.c. HBase MapReduce OS HDFS Hive e.t.c. HBaseMapReduce YARN Spark Spark Streaming, MLlib, GraphX, Spark SQL) Impala SQL YARN Spark Spark Streaming, MLlib, GraphX, Spark SQL) Mesos Spark Spark Streaming, MLlib, GraphX, Spark SQL) Spark Spark Streaming, MLlib, GraphX, Spark SQL) Windows Hadoop 0.x Hadoop 1.x Hadoop 2.x + Spark
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Spark Hadoop Hadoop Spark map JVM HDFS reduce JVM map JVM reduce JVM f1 RDD Executor
JVM HDFS f2 f3 f4 f5 f6 f7 MapReduce Spark RDD
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Spark Hadoop Spark ▸ Hadoop
MapReduce ▸ Spark API MapReduce API ▸ Hadoop
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PySpark (Py)Spark ▸ / Spark ▸
PyData ▸ Spark ▸ Spark Hadoop PyData PySpark
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Spark 1.2 PySpark … (Py)Spark
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PySpark
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PySpark RDD API DataFrame
API ▸ RDD Resilient Distributed Dataset = Spark Java ▸ DataFrame RDD / R data.frame ▸ Python RDD API DataFrame API Scala / Java
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PySpark DataFrame API RDD DataFrame / Dataset MLlib
ML GraphX GraphFrame Spark Streaming Structured Streaming
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Worker node PySpark Executer JVM Driver JVM Executer JVM Executer JVM Storage Python VM Worker node
Worker node Python VM Python VM RDD API PySpark Worker node Executer JVM Driver JVM Executer JVM Executer JVM Storage Python VM Worker node Worker node Python VM Python VM DataFrame API PySpark
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PySpark ▸ RDD API
Executer JVM Python VM ▸ DataFrame API JVM ▸ UDF Python VM ▸ UDF Scala Java ▸ Spark 2.x DataFrame
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Spark PyData
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Spark PyData Spark PyData ▸
Spark ▸ Python PyData ▸ ▸ Parquet ▸ Apache Arrow
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Spark PyData ▸ CSV
JSON ▸Parquet Spark DataFrame API Python fastparquet pyarrow ▸ Performance comparison of different file formats and storage engines in the Hadoop ecosystem ▸ =
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Spark PyData Parquet https://parquet.apache.org/documentation/latest/ zip CSV I/O ROW
BLOCK COLUMN #0 ROW #0 COLUMN #0 ROW #1 COLUMN #0 ROW #N COLUMN #1 ROW #0 COLUMN #1 ROW #1 … … COLUMN #1 ROW #N COLUMN #2 ROW #0 COLUMN #2 ROW #1 … COLUMN #M ROW #N ROW BLOCK COLUMN #0 ROW #0 COLUMN #0 ROW #1 COLUMN #0 ROW #N COLUMN #1 ROW #0 COLUMN #1 ROW #1 … … COLUMN #1 ROW #N COLUMN #2 ROW #0 COLUMN #2 ROW #1 … COLUMN #M ROW #N ...
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Spark PyData Spark df =
spark.read.csv(csvFilename, header=True, schema = theSchema).coalesce(20) df.write.save(filename, compression = 'snappy') from fastparquet import write pdf = pd.read_csv(csvFilename) write(filename, pdf, compression='UNCOMPRESSED') fastparquet import pyarrow as pa import pyarrow.parquet as pq arrow_table = pa.Table.from_pandas(pdf) pq.write_table(arrow_table, filename, compression = 'GZIP') pyarrow
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Spark PyData ▸ pandas
CSV Spark Spark pandas … ▸ Spark - pandas ▸ pandas → Spark … ▸ Apache Arrow
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Spark PyData Apache Arrow ▸
Apache Arrow ▸ PyData / OSS ▸ / https://arrow.apache.org
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Spark PyData Wes blog ▸
pandas Apache Arrow ▸ Blog ▸ PyData Blog Wes OK ▸ Apache Arrow pandas 10 https://qiita.com/tamagawa-ryuji/items/3d8fc52406706ae0c144
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PySpark Python Spark