This article mainly describes some of the operations of Spark standalone mode for job migration to spark on yarn. 1, Code RECOMPILE
Because the previous Spark standalone project used the version of Spark 1.5.2, and now spark on yarn is using
Because Spark is implemented in Scala, spark natively supports the Scala API. In addition, Java and Python APIs are supported.For example, the Python API for the Spark 1.3 version. Its module-level relationships, for example, are as seen in:As you know, Pyspark is the top-level package for the Python API, which includes several important subpackages. Of1) Pyspark
Liaoliang Teacher's course: The 2016 big Data spark "mushroom cloud" action spark streaming consumption flume collected Kafka data DIRECTF way job.First, the basic backgroundSpark-streaming get Kafka data in two ways receiver and direct way, this article describes the way of direct. The specific process is this:1, direct mode is directly connected to the Kafka node to obtain data.2. Direct-based approach: P
You are welcome to reprint it. Please indicate the source, huichiro.Wedge
Hive is an open source data warehouse tool based on hadoop. It provides a hiveql language similar to SQL, this allows upper-layer data analysts to analyze massive data stored in HDFS without having to know too much about mapreduce. This feature has been widely welcomed.
An important module in the overall hive framework is the execution module, which is implemented using the mapreduce computing framework in hadoop. Therefor
In the Hadoop, zookeeper, hbase, spark cluster environment has set up the environment, 工欲善其事 its prerequisite, now the device has been, the next is to open up, first from Spark-shell began to uncover spark artifact veil.Spark-shell is the command line interface of Spark, we can directly hit some commands above, just li
Contents of this issue: 1. Spark Streaming job architecture and operating mechanism2. Spark Streaming fault tolerant architecture and operating mechanism In fact, time does not exist, it is by the sense of the human senses the existence of time, is a kind of illusory existence, at any time things in the universe has been happening.Spark streaming is like time, always following its running mechanism and ar
Recently, after listening to Liaoliang's 2016 Big Data spark "mushroom cloud" action, Flume,kafka and spark streaming need to be integrated.Feel a moment difficult to get started, or start from the simple: my idea is that, flume produce data, and then output to spark streaming,flume source data is netcat (address: localhost, port 22222), The output is Avro (addre
first, what is spark?1. Relationship with HadoopToday, Hadoop cannot be called software in a narrow sense, and Hadoop is widely said to be a complete ecosystem that can include HDFs, Map-reduce, HBASE, Hive, and so on.While Spark is a computational framework, note that it is a computational frameworkIt can run on top of Hadoop, most of which is based on HDFsInstead of Hadoop, it replaces map-reduce in Hadoo
Yahoo's spark practice
Yahoo is one of the big data giants who have a unique passion for spark. This summit, Yahoo contributed three speeches, let us one by one.
Andy Feng, a prominent Yahoo architect from the University of Zhejiang , tried to answer two questions in his keynote speech.
First question, why Yahoo falls in love with Spark. Machine learning, Data
Spark Application ConceptsThe Spark app (application) is a user-submitted application. Execution mode is also local, Standalone, YARN, Mesos. Depending on whether the Spark application driver program is running in a cluster, the spark application can be run in cluster mode and client mode.Here are some of the basic con
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Yarn in hadoop2 is a management platform for distributed computing resources. Due to its excellent model abstraction, it is very likely to become a de facto standard for distributed computing resource management. Its main responsibility is to manage distributed computing clusters and manage and allocate computing resources in clusters.
Yarn provides good implementation standards for application development.
"Note" this series of articles, as well as the use of the installation package/test data can be in the "big gift –spark Getting Started Combat series" get1 Installing IntelliJ IdeaIdea full name IntelliJ ideas, a Java language development integration Environment, IntelliJ is recognized as one of the best Java development tools in the industry, especially in smart Code helper, code auto hint, refactoring, Java EE support, Ant, JUnit, CVS integration, c
Spark example and spark example
1. Set up the Spark development environment in Java (fromHttp://www.cnblogs.com/eczhou/p/5216918.html)
1.1 jdk Installation
Install jdk in oracle. I installed jdk 1.7. After installing the new system environment variable JAVA_HOME, the variable value is "C: \ Program Files \ Java \ jdk1.7.0 _ 79 ", depends on the installation path.
Welcome reprint, Reproduced please indicate the source.ProfileThis article briefly describes how to use Spark-cassandra-connector to import a JSON file into the Cassandra database, a comprehensive example that uses spark.Pre-conditionsSuppose you have read the 3 of technical combat and installed the following software
Jdk
Scala
SBt
Cassandra
Spark-cassandra-connector
Experiment
If you have to install hadoop my version hadoop2.3-cdh5.1.0
1. Download the maven package
2. Configure the m2_home environment variable and configure the maven bin directory to the path
3. Export maven_opts = "-xmx2g-XX: maxpermsize = 512 M-XX: reservedcodecachesize = 512 M"
Download the spark-1.0.2.gz package and decompress it on the official website
5. Go to the Spark extract package directory.
6. Run./ma
Sparksql refers to the Spark-sql CLI, which integrates hive, essentially accesses the hbase table via hive, specifically through Hive-hbase-handler, as described in the configuration: Hive (v): Hive and HBase integrationDirectory:
Sparksql Accessing HBase Configuration
Test validation
Sparksql to access HBase configuration:
Copy the associated jar package for HBase to the $spark_home/lib directory on the
Objective After installing CDH and Coudera Manager offline, all of your own apps are installed through Coudera Manager, including HDFs, hive, yarn, Spark, hbase, and so on, and the process is a twist, so don't complain and go straight to the subject.Describe In the installation of Spark node, through the Spark-shell start S
This article is mainly from two aspects:Contents of this issue1 exactly Once2 output is not duplicated1 exactly OnceTransaction: Bank Transfer For example, a user to transfer to the User B, if the B users confiscated, or received multiple accounts, is to undermine the consistency of the transaction. Transactions are handled and processed only once, that is, a is only turned once and B is only received once. Decrypt the sparkstreaming schema from a transactional perspective: The sparkstreaming
Learn Spark 2.0 (new features, real projects, pure Scala language development, CDH5.7)Share the network disk download--https://pan.baidu.com/s/1c2f9zo0 password: pzx9Spark entered the 2.0 era, introducing many excellent features, improved performance, and more user-friendly APIs. In the "unified programming" is very impressive, the implementation of offline computing and Flow computing API unification, the implementation of the
Provides various official and user-released code examples and code reference. You are welcome to exchange and learn about the popularity of the spark grassland system. Winwin, as a third-party developer certified by mobile, is a merchant specialized in customized spark grassland distribution Mall. You can also customize the development on the public platform system of the
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