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30%: Slides
70%: Live coding/demos, labs
df.rdd.partitions.size = 4
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255 MB file
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(referer, resource)
(referer, resource)
article title
other-wikipedia
other-empty
other-internal
other-google
other-yahoo
other-bing
other-facebook
other-twitter
other-other
(referer)
(referer, resource)
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Spark >= 1.6
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589 MB file64 MB each
7,786,761
2,418,984
7,786,761
• map• filter• flatMap• mapPartitions• mapPartitionsWithIndex• groupBy• sortBy
= medium
Essential Core & Intermediate Spark OperationsTRANSFORMATIONS
ACTIONS
General
• sample• randomSplit
Math / Statistical
= easy
Set Theory / Relational
• union• intersection• subtract• distinct• cartesian• zip
• takeOrdered
Data Structure / I/O
• saveAsTextFile• saveAsSequenceFile• saveAsObjectFile• saveAsHadoopDataset• saveAsHadoopFile• saveAsNewAPIHadoopDataset• saveAsNewAPIHadoopFile
• keyBy• zipWithIndex• zipWithUniqueID• zipPartitions• coalesce• repartition• repartitionAndSortWithinPartitions• pipe
• count• takeSample• max• min• sum• histogram• mean• variance• stdev• sampleVariance• countApprox• countApproxDistinct
• reduce• collect• aggregate• fold• first• take• forEach• top• treeAggregate• treeReduce• forEachPartition• collectAsMap
• sampleByKey
• keys• values
• partitionBy
• countByKey• countByValue• countByValueApprox• countApproxDistinctByKey• countApproxDistinctByKey• countByKeyApprox• sampleByKeyExact
• cogroup (=groupWith)• join• subtractByKey• fullOuterJoin• leftOuterJoin• rightOuterJoin
• flatMapValues• groupByKey• reduceByKey• reduceByKeyLocally• foldByKey• aggregateByKey• sortByKey• combineByKey
= medium
Essential Core & Intermediate Spark OperationsTRANSFORMATIONS
ACTIONS
General Math / Statistical
= easy
Set Theory / Relational Data Structure / I/O
vs
each partition of the parent RDD is used by at most one partition of the child RDD
multiple child RDD partitions may depend on a single parent RDD partition
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map flatMap filter mapPartitions
groupByKey join
repartition
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en Main_Page 245839 4737756101en Apache_Spark 1370 29484844en.mw Apache_Sparken.d discombobulate 200 284834fr.b Special:Recherche/Acteurs_et_actrices_N 1 739
Project namePage title # of requests
Total size of content returned
• map
• filter
• groupBy
• sort
• union
• join
• leftOuterJoin
• rightOuterJoin
• reduce
• count
• fold
• reduceByKey
• cogroup
• cross
• zip
• sample
• take
• first
• partitionBy
• mapWith
• pipe
• save
• ...
• groupByKey
https://www.youtube.com/watch?v=Jw9yNTJI8iM
“We start by loading some fields from a tab-separated Wikipedia file into a distributed collection of Article objects, then we perform queries on it. Queries on the on-disk data take 20 seconds, but asking Spark to cache the Article objects in memory reduces the query latency to 1-2 seconds.”
- Matei
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Map() Map() Map() Map()
Map() Map() Map() Map()
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Reduce() Reduce() Reduce()
groupByKey reduceByKey combineByKey
(a, 1)
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(a, 1)
(a, 1)
(a, 1)
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(b, 1)
(a, 1)(a, 1)
(a, 6)(a, 1)
(b, 5)
a b
(a, 1)(a, 1)(a, 1)
(b, 1)(b, 1)
(b, 1)(b, 1)(b, 1)
(a, 1)
(b, 1)
(a, 1)
(b, 1)
(a, 1)
(a, 1) (a, 2)
(b, 2)(b, 1)
(b, 1)
(a, 1)
(a, 1)(a, 3)
(b, 2)(a, 1)
(b, 1)
(b, 1)
(a, 1)
(a, 2) (a, 6)
(a, 3)
(b, 1)
(b, 2) (b, 5)
(b, 2)
a b
sqlContex.setConf(key, value)
spark.sql.shuffle.partititions
(
Shuffle
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vertexID: 469
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Liberal Conservative
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filter()
editsDStream
filteredDStream
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Running test: pyspark/conf.py
Spark assembly has been built
with Hive, including
Datanucleus jars on classpath
14/12/15 18:36:12 WARN Utils:
Your hostname,
Running test:
pyspark/broadcast.py
Spark assembly has been built
with Hive, including
Datanucleus jars on classpath
14/12/15 18:36:30 ERROR Aliens
attacked the
Running test:
pyspark/conf.py
Spark assembly has been
built with Hive, including
Datanucleus jars on
classpath
14/12/15 18:36:12 WARN
Utils: Your hostname,
Running test: pyspark/conf.py
Spark assembly has been built
with Hive, including
Datanucleus jars on classpath
14/12/15 18:36:12 WARN Utils:
Your hostname,
Running
43
test
67
Spark
110
aliens
0...
mllib.linalg.Vector
0.0 0.1 -0.1 50 ...= -1.1
LinearRegression
0.0 6.7+ -11.0 0.0 ...+ +
Running
43
test
67
Spark
110
aliens
0 ...
Running test:
pyspark/conf.py
Spark assembly has been
built with Hive,
including Datanucleus
jars on classpath
14/12/15 18:36:12 WARN
Utils: Your hostname,
LabeledPoint(features: Vector, label: Double)
Running test: pyspark/conf.py
Spark assembly has been built
with Hive, including
Datanucleus jars on classpath
14/12/15 18:36:12 WARN Utils:
Your hostname,
Running test: pyspark/conf.py
Spark assembly has been built
with Hive, including
Datanucleus jars on classpath
14/12/15 18:36:12 WARN Utils:
Your hostname,
Running test: pyspark/conf.py
Spark assembly has been built
with Hive, including
Datanucleus jars on classpath
14/12/15 18:36:12 WARN Utils:
Your hostname,
...
RDD[LabeledPoint]
LinearRegressionModel.predict(features: Vector): Double
RDD[LabeledPoint]
LinearRegression.train(data: RDD[LabeledPoint]): LinearRegressionModel
LinearRegressionModel
Running test:
pyspark/conf.py
Spark assembly has been
built with Hive, including
Datanucleus jars on
classpath
14/12/15 18:36:12 WARN
Utils: Your hostname,
Running test:
pyspark/conf.py
Spark assembly has been
built with Hive, including
Datanucleus jars on
classpath
14/12/15 18:36:12 WARN
Utils: Your hostname,
Running test:
pyspark/conf.py
Spark assembly has been
built with Hive, including
Datanucleus jars on
classpath
14/12/15 18:36:12 WARN
Utils: Your hostname,
…
Running test:
pyspark/conf.py
Spark assembly has been
built with Hive, including
Datanucleus jars on
classpath
14/12/15 18:36:12 WARN
Utils: Your hostname,
Running test:
pyspark/conf.py
Spark assembly has been
built with Hive, including
Datanucleus jars on
classpath
14/12/15 18:36:12 WARN
Utils: Your hostname,
Running test:
pyspark/conf.py
Spark assembly has been
built with Hive, including
Datanucleus jars on
classpath
14/12/15 18:36:12 WARN
Utils: Your hostname,
Running test:
pyspark/conf.py
Spark assembly has been
built with Hive, including
Datanucleus jars on
classpath
14/12/15 18:36:12 WARN
Utils: Your hostname, …
LinearRegression
Dataframe
Estimator
Transformer
Model(Transformer)
RDD[(Double, Double)] RegressionMetrics
Double
Estimator
Transformer
Evaluator
http://www.meetup.com/Spark-Singapore/events/219039180/
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