Spark 1.6 3

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Spark 1.6 3

3 or newer and Java 7+. The Spark build can supply a suitable Maven binary; see below. Building with build/mvn. Spark now comes packaged with a self ... ,Spark properties control most application parameters and can be set by using a SparkConf object, or through Java system properties. Environment variables can ... ,Index of /dist/spark/spark-1.6.3. Icon Name Last modified Size Description. [PARENTDIR] Parent Directory - [ ] spark-1.6.3-bin-cdh4.tgz 2016-11-06 07:41 232M ... ,Spark runs on Java 7+, Python 2.6+ and R 3.1+. For the Scala API, Spark 1.6.3 uses Scala 2.10. You will need to use a compatible Scala version (2.10.x). Running ... ,Quick start tutorial for Spark 1.6.3. ... We will first introduce the API through Spark's interactive shell (in Python or Scala), then show how to write applications in ... ,Spark 1.6.3 released. We are happy to announce the availability of Spark 1.6.3! This maintenance release includes fixes across several areas of Spark. Visit the ... ,Spark 1.6.3 programming guide in Java, Scala and Python. ... The main abstraction Spark provides is a resilient distributed dataset (RDD), which is a collection ... ,Spark Release 1.6.3. Spark 1.6.3 is a maintenance release containing stability fixes. This release is based on the branch-1.6 maintenance branch of Spark. ,The DataFrame API is available in Scala, Java, Python, and R. Datasets. A Dataset is a new experimental interface added in Spark 1.6 that tries to provide the ... ,Spark Streaming programming guide and tutorial for Spark 1.6.3.

相關軟體 Spark 資訊

Spark
Spark 是針對企業和組織優化的 Windows PC 的開源,跨平台 IM 客戶端。它具有內置的群聊支持,電話集成和強大的安全性。它還提供了一個偉大的最終用戶體驗,如在線拼寫檢查,群聊室書籤和選項卡式對話功能。Spark 是一個功能齊全的即時消息(IM)和使用 XMPP 協議的群聊客戶端。 Spark 源代碼由 GNU 較寬鬆通用公共許可證(LGPL)管理,可在此發行版的 LICENSE.ht... Spark 軟體介紹

Spark 1.6 3 相關參考資料
Building Spark - Spark 1.6.3 Documentation - Apache Spark

3 or newer and Java 7+. The Spark build can supply a suitable Maven binary; see below. Building with build/mvn. Spark now comes packaged with a self ...

https://spark.apache.org

Configuration - Spark 1.6.3 Documentation - Apache Spark

Spark properties control most application parameters and can be set by using a SparkConf object, or through Java system properties. Environment variables can ...

https://spark.apache.org

Index of distsparkspark-1.6.3

Index of /dist/spark/spark-1.6.3. Icon Name Last modified Size Description. [PARENTDIR] Parent Directory - [ ] spark-1.6.3-bin-cdh4.tgz 2016-11-06 07:41 232M ...

https://archive.apache.org

Overview - Spark 1.6.3 Documentation - Apache Spark

Spark runs on Java 7+, Python 2.6+ and R 3.1+. For the Scala API, Spark 1.6.3 uses Scala 2.10. You will need to use a compatible Scala version (2.10.x). Running ...

https://spark.apache.org

Quick Start - Spark 1.6.3 Documentation - Apache Spark

Quick start tutorial for Spark 1.6.3. ... We will first introduce the API through Spark's interactive shell (in Python or Scala), then show how to write applications in ...

https://spark.apache.org

Spark 1.6.3 released | Apache Spark

Spark 1.6.3 released. We are happy to announce the availability of Spark 1.6.3! This maintenance release includes fixes across several areas of Spark. Visit the ...

https://spark.apache.org

Spark Programming Guide - Spark 1.6.3 Documentation

Spark 1.6.3 programming guide in Java, Scala and Python. ... The main abstraction Spark provides is a resilient distributed dataset (RDD), which is a collection ...

https://spark.apache.org

Spark Release 1.6.3 | Apache Spark

Spark Release 1.6.3. Spark 1.6.3 is a maintenance release containing stability fixes. This release is based on the branch-1.6 maintenance branch of Spark.

https://spark.apache.org

Spark SQL and DataFrames - Spark 1.6.3 Documentation

The DataFrame API is available in Scala, Java, Python, and R. Datasets. A Dataset is a new experimental interface added in Spark 1.6 that tries to provide the ...

https://spark.apache.org

Spark Streaming - Spark 1.6.3 Documentation - Apache Spark

Spark Streaming programming guide and tutorial for Spark 1.6.3.

https://spark.apache.org