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PySparkの勘所(20170630 sapporo db analytics showcase)
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Ryuji Tamagawa
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2017年6月30日にインサイトテクノロジーさま主催のdb analytics showcaseでしゃべったPySparkの話のスライドです。
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PySparkの勘所(20170630 sapporo db analytics showcase)
1.
PySpark @
2.
▸ facebook :
Ryuji Tamagawa ▸ Twitter : tamagawa_ryuji ▸ FB ▸ Twitter
3.
4.
8
5.
Wes Mckinney blog ▸
http://qiita.com/tamagawa-ryuji
6.
▸ ▸ pandas PyData ▸
Spark Scala Java Spark ▸ TB
7.
8.
▸ Spark Hadoop ▸
PySpark ▸ PySpark ▸ Spark/Hadoop PyData PySpark
9.
Spark Hadoop
10.
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
11.
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
12.
Spark Hadoop Spark ▸ Hadoop
MapReduce ▸ Spark API MapReduce API ▸ Hadoop
13.
PySpark
14.
PySpark (Py)Spark ▸ / Spark ▸
PyData ▸ Spark ▸ Spark Hadoop PyData PySpark
15.
PySpark ▸ ▸ SSD ▸ CPU ▸ Parquet S3 CPU
16.
Spark 1.2 PySpark … (Py)Spark
17.
PySpark
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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
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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 PyData
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Spark PyData PyData Anaconda Python Blaze
NumPy and pandas interface to Big Data'. dask Bokeh Canopy Python IPython matplotlib PyData nose numba JIT NumPy PyData Scipy PyData Statsmodels SymPy pandas NumPy SciPy scikit-image scikit-learn PyData
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Spark PyData ▸ CSV
JSON ▸ Spark Parquet ▸ Performance comparison of different file formats and storage engines in the Hadoop ecosystem ▸ Parquet Python ▸ fastparquet pyarrow ▸ Parquet
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Spark PyData Parquet https://parquet.apache.org/documentation/latest/ I/O
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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 ▸ 2017 : pandas, Arrow, Feather, Parquet, Spark, Ibis http://qiita.com/tamagawa-ryuji/items/deb3f63ed4c7c8065e81
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PySpark
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▸ pandas PySpark ▸
PySpark DataFrame API ▸ Parquet CSV Parquet ▸ UI Jupyter Notebook Parquet PySpark DataFrame API pandas PyDataJupyter Notebook CSV
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