spring-hadoop | Apache Hadoop is a framework for application developers
kandi X-RAY | spring-hadoop Summary
kandi X-RAY | spring-hadoop Summary
NOTICE: The Spring for Apache Hadoop project has reached End-Of-Life status on April 5th, 2019. The final Spring for Apache Hadoop 2.5.0 release was built using Apache Hadoop version 2.7.3 and no new releases are planned. The Spring for Apache Hadoop project provides extensions to Spring, Spring Batch, and Spring Integration to build manageable and robust pipeline solutions around Hadoop. Spring for Apache Hadoop extends Spring Batch by providing support for reading from and writing to HDFS, running various types of Hadoop jobs (Java MapReduce, Streaming, Hive, Spark, Pig) and using HBase. An important goal is to provide excellent support for non-Java based developers to be productive using Spring Hadoop and not have to write any Java code to use the core feature set. Spring for Apache Hadoop also applies the familiar Spring programming model to Java MapReduce jobs by providing support for dependency injection of simple jobs as well as a POJO based MapReduce programming model that decouples your MapReduce classes from Hadoop specific details such as base classes and data types.
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Top functions reviewed by kandi - BETA
- Parse a bean definition
- Reads the contents of a Reader into a list of lines
- Extract a runnable string from another string
- Configures the given bean definition with the given attribute
- Parse a single bean definition
- Sets a list property from an XML element
- Initializes the job
- Configures mapper if possible
- Perform Spring YARN configs
- Returns a string representation of the given configuration
- Perform a task execution
- Runs the batch execution
- Invoked when a container is allocated
- Add split splits
- Parse XML configuration
- Parse the bean definition
- Initializes the arguments
- Initializes the job configuration
- Create a DataFileWriter
- Parse the given element
- Returns the unsatisfiable state data
- Main execution method
- Find handler methods for target object
- Parse the configuration
- Initializes the cache
- Launches a container
spring-hadoop Key Features
spring-hadoop Examples and Code Snippets
Community Discussions
Trending Discussions on spring-hadoop
QUESTION
I have been developing my first RESTful server utilizing such technologies as Spring and HBase.
Message
below is the core model of my server;
ANSWER
Answered 2019-Jan-21 at 22:30There is an example to make a column based query as given below:
QUESTION
I want to override some of my hive property values.I am connecting to hive using spring context. Basically i want to execute statement SET hive.auto.convert.join=false;
template.execute(splitQuery);
but this did not work.
I have also tried by setting this var into jdbc url like this. jdbc:hive2://host:port/default;hive.auto.convert.join=false
but this also did not work.
My sprint context.xml is
...ANSWER
Answered 2018-Feb-26 at 14:21you should be able to inject the additional properties as part of the
it will inject the properties during the driver.connect method. So you should be able to do something like (not tested)
QUESTION
Im trying to download and build spring-data-hadoop 2.4.0.RELEASE using the following decleration in my dependencies.gradle
:
ANSWER
Answered 2017-Jul-05 at 11:46There is a separate spring-data-hadoop-config
with the description "Spring for Apache Hadoop Annotation Configuration", so that's probably where annotations
would be.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install spring-hadoop
You can use spring-hadoop like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the spring-hadoop component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .
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