Todd McGrath tmcgrath
tmcgrath
/ gist:1281606
Created
October 12, 2011 15:53
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| @Salat | |
| case class CustomerWrapper(_id: Option[Long], | |
| partnerId: Long, | |
| version: Long, | |
| content: List[Customer]) | |
| case class Customer(id: Option[Long], | |
| state: Option[CustomerState.Value], | |
| name: String, | |
| website: String, |
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| Welcome to | |
| ____ __ | |
| / __/__ ___ _____/ /__ | |
| _\ \/ _ \/ _ `/ __/ '_/ | |
| /___/ .__/\_,_/_/ /_/\_\ version 1.1.0 | |
| /_/ | |
| Using Scala version 2.10.4 (Java HotSpot(TM) 64-Bit Server VM, Java 1.6.0_65) | |
| Type in expressions to have them evaluated. | |
| Type :help for more information. |
tmcgrath
/ Code from Part 1 of Spark Transformations in Scala
Created
December 10, 2015 18:10
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| Welcome to | |
| ____ __ | |
| / __/__ ___ _____/ /__ | |
| _\ \/ _ \/ _ `/ __/ '_/ | |
| /___/ .__/\_,_/_/ /_/\_\ version 1.1.0 | |
| /_/ | |
| Using Scala version 2.10.4 (Java HotSpot(TM) 64-Bit Server VM, Java 1.6.0_65) | |
| Type in expressions to have them evaluated. | |
| Type :help for more information. |
tmcgrath
/ Scala based Spark Transformations Part 2 - Comparing and Contrasting RDDs
Last active
December 25, 2015 22:58
Scala based Spark Transformations Part 2
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| Welcome to | |
| ____ __ | |
| / __/__ ___ _____/ /__ | |
| _\ \/ _ \/ _ `/ __/ '_/ | |
| /___/ .__/\_,_/_/ /_/\_\ version 1.1.0 | |
| /_/ | |
| Using Scala version 2.10.4 (Java HotSpot(TM) 64-Bit Server VM, Java 1.6.0_65) | |
| Type in expressions to have them evaluated. | |
| Type :help for more information. |
tmcgrath
/ Spark Transformation Examples Part 3
Last active
January 7, 2016 19:24
Scala based Spark Transformations which require Key, Value pair RDDs
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| scala> val babyNames = sc.textFile("baby_names.csv") | |
| babyNames: org.apache.spark.rdd.RDD[String] = baby_names.csv MappedRDD[27] at textFile at <console>:12 | |
| scala> val rows = babyNames.map(line => line.split(",")) | |
| rows: org.apache.spark.rdd.RDD[Array[String]] = MappedRDD[28] at map at <console>:14 | |
| scala> val namesToCounties = rows.map(name => (name(1),name(2))) | |
| namesToCounties: org.apache.spark.rdd.RDD[(String, String)] = MappedRDD[29] at map at <console>:16 | |
| scala> namesToCounties.groupByKey.collect |
tmcgrath
/ scala spark action examples
Created
December 10, 2015 21:13
Spark Console Action functions in Scala
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| scala> val names1 = sc.parallelize(List("abe", "abby", "apple")) | |
| names1: org.apache.spark.rdd.RDD[String] = ParallelCollectionRDD[0] at parallelize at <console>:12 | |
| scala> names1.reduce((t1,t2) => t1 + t2) | |
| res0: String = abbyappleabe | |
| scala> names1.flatMap(k => List(k.size) ).reduce((t1,t2) => t1 + t2) | |
| res1: Int = 12 | |
| scala> val names2 = sc.parallelize(List("apple", "beatty", "beatrice")).map(a => (a, a.size)) |
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| {"first_name":"James", "last_name":"Butterburg", "address": {"street": "6649 N Blue Gum St", "city": "New Orleans","state": "LA", "zip": "70116" }} | |
| {"first_name":"Josephine", "last_name":"Darakjy", "address": {"street": "4 B Blue Ridge Blvd", "city": "Brighton","state": "MI", "zip": "48116" }} | |
| {"first_name":"Art", "last_name":"Chemel", "address": {"street": "8 W Cerritos Ave #54", "city": "Bridgeport","state": "NJ", "zip": "08014" }} |
tmcgrath
/ Spark SQL CSV repl session
Created
January 6, 2016 16:48
Spark SQL with Scala using CSV input data source in spark console
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| todd-mcgraths-macbook-pro:spark-1.4.1-bin-hadoop2.4 toddmcgrath$ bin/spark-shell --packages com.databricks:spark-csv_2.10:1.3.0 | |
| Ivy Default Cache set to: /Users/toddmcgrath/.ivy2/cache | |
| The jars for the packages stored in: /Users/toddmcgrath/.ivy2/jars | |
| :: loading settings :: url = jar:file:/Users/toddmcgrath/Development/spark-1.4.1-bin-hadoop2.4/lib/spark-assembly-1.4.1-hadoop2.4.0.jar!/org/apache/ivy/core/settings/ivysettings.xml | |
| com.databricks#spark-csv_2.10 added as a dependency | |
| :: resolving dependencies :: org.apache.spark#spark-submit-parent;1.0 | |
| confs: [default] | |
| found com.databricks#spark-csv_2.10;1.3.0 in central | |
| found org.apache.commons#commons-csv;1.1 in central | |
| found com.univocity#univocity-parsers;1.5.1 in central |
tmcgrath
/ Spark SQL with invalid JSON input source
Last active
January 6, 2016 17:07
Happy Path Spark SQL with JSON input source
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| todd-mcgraths-macbook-pro:spark-1.4.1-bin-hadoop2.4 toddmcgrath$ bin/spark-shell | |
| 2016-01-06 10:54:58.540 java[25147:1203] Unable to load realm info from SCDynamicStore | |
| Welcome to | |
| ____ __ | |
| / __/__ ___ _____/ /__ | |
| _\ \/ _ \/ _ `/ __/ '_/ | |
| /___/ .__/\_,_/_/ /_/\_\ version 1.4.1 | |
| /_/ | |
| Using Scala version 2.10.4 (Java HotSpot(TM) 64-Bit Server VM, Java 1.6.0_65) |
tmcgrath
/ Spark SQL with valid JSON input source
Created
January 6, 2016 17:08
Spark SQL with Scala using valid JSON input source example in Spark Console
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| todd-mcgraths-macbook-pro:spark-1.4.1-bin-hadoop2.4 toddmcgrath$ bin/spark-shell | |
| 2016-01-06 11:05:57.362 java[30505:1203] Unable to load realm info from SCDynamicStore | |
| Welcome to | |
| ____ __ | |
| / __/__ ___ _____/ /__ | |
| _\ \/ _ \/ _ `/ __/ '_/ | |
| /___/ .__/\_,_/_/ /_/\_\ version 1.4.1 | |
| /_/ | |
| Using Scala version 2.10.4 (Java HotSpot(TM) 64-Bit Server VM, Java 1.6.0_65) |
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