pysparkの勘所（20170630 sapporo db analytics showcase）

PySpark@

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▸ pandas PyData

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Spark

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PySpark

Spark Hadoop

Spark Hadoop

Hadoop0.x Spark

OS

HDFS

MapReduce

OS

HDFS

Hive e.t.c.HBase

MapReduce

OSHDFS

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

Spark Hadoop

Hadoop Spark

mapJVM

HD

FS

reduceJVM

mapJVM

reduceJVM

f1 RDD

Executor JVM

HD

FS

f2f3

f4f5

f6f7

MapReduce Spark

RDD

Spark Hadoop

Spark

▸ Hadoop MapReduce

▸ Spark API MapReduce API

▸ Hadoop

PySpark

PySpark

(Py)Spark

▸ / Spark

▸ PyData

▸ Spark

▸ Spark Hadoop

PyData

PySpark

PySpark

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▸ SSD

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ParquetS3

CPU

Spark 1.2 PySpark …

(Py)Spark

PySpark

PySpark

RDD API DataFrame API

▸ RDD Resilient Distributed Dataset = Spark

Java

▸ DataFrame RDD

/ R data.frame

▸ Spark 2.x DataFrame Learning PySpark ML Structured Streaming GraphFrames TensorFrame

▸ Python RDD API DataFrame API Scala / Java

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

PySpark

▸ RDD API Executer JVM Python VM

▸ DataFrame API JVM

▸ UDF Python VM

▸ UDF Scala Java

▸ Spark 2.x DataFrame

Spark PyData

Spark PyData

Spark PyData

▸ Spark

▸ Python PyData

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▸ Parquet

▸ Apache Arrow

Spark PyData

PyData

Spark PyData

PyData

Anaconda PythonBlaze NumPy and pandas interface to Big Data'. daskBokeh

Canopy PythonIPython

matplotlib PyDatanose

numba JITNumPy PyDataScipy PyData

StatsmodelsSymPy

pandas NumPy SciPyscikit-imagescikit-learn PyData

Spark PyData

▸ CSV JSON

▸ Spark Parquet

▸ Performance comparison of different file formats and storage

engines in the Hadoop ecosystem

▸ Parquet Python

▸ fastparquet pyarrow

▸ Parquet

Spark PyData

Parquet

https://parquet.apache.org/documentation/latest/

I/O

Spark PyData

Sparkdf = 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

Spark PyData

▸ pandas CSV Spark

Spark pandas

…

▸ Spark - pandas

▸ pandas → Spark …

▸ Apache Arrow

Spark PyData

Apache Arrow

▸ Apache Arrow

▸ PyData / OSS

▸ /

https://arrow.apache.org

Spark PyData

Wes blog

▸ pandas Apache Arrow

▸ Blog

▸ PyData Blog

Wes OK

▸ 2017 : pandas, Arrow, Feather, Parquet, Spark, Ibis

http://qiita.com/tamagawa-ryuji/items/deb3f63ed4c7c8065e81

PySpark

▸ pandas PySpark

▸ PySpark DataFrame API

▸ Parquet

CSV

Parquet

▸ UI

Jupyter NotebookParquet

PySpark

DataFrame API

pandas

PyData Jupyter Notebook

CSV