bigdata-service | hadoop flume hbase kafka
kandi X-RAY | bigdata-service Summary
kandi X-RAY | bigdata-service Summary
bigdata-service is a Java library typically used in Big Data, Kafka, Spark, Hadoop applications. bigdata-service has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitLab, GitHub.
hadoop flume hbase kafka storm;读取kafka数据=》storm实时处理(分割字符,统计字符)=》写入hdfs
hadoop flume hbase kafka storm;读取kafka数据=》storm实时处理(分割字符,统计字符)=》写入hdfs
Support
Quality
Security
License
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Support
bigdata-service has a low active ecosystem.
It has 19 star(s) with 12 fork(s). There are 3 watchers for this library.
It had no major release in the last 6 months.
There are 1 open issues and 0 have been closed. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of bigdata-service is current.
Quality
bigdata-service has no bugs reported.
Security
bigdata-service has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
bigdata-service does not have a standard license declared.
Check the repository for any license declaration and review the terms closely.
Without a license, all rights are reserved, and you cannot use the library in your applications.
Reuse
bigdata-service releases are not available. You will need to build from source code and install.
Build file is available. You can build the component from source.
Top functions reviewed by kandi - BETA
kandi has reviewed bigdata-service and discovered the below as its top functions. This is intended to give you an instant insight into bigdata-service implemented functionality, and help decide if they suit your requirements.
- Entry point for testing purposes
- Scan table
- Put tableFamily
- Create table
- Send a message to a Kafka topic
- Delete file
- Send tuple
- Main entry point
- Clean up statistics
- Deserialize string
- Method to serialize object to byte array
- Entry point for topology
- Do tuple
- List file status
- Returns an instance of Log4j logger
- Entry point for testing
- Main method for testing
- Runs the demo
- Generate next tuple
Get all kandi verified functions for this library.
bigdata-service Key Features
No Key Features are available at this moment for bigdata-service.
bigdata-service Examples and Code Snippets
No Code Snippets are available at this moment for bigdata-service.
Community Discussions
Trending Discussions on bigdata-service
QUESTION
Saving parquet file in Spark giving error
Asked 2017-Feb-15 at 16:13
We are using spark 1.6.1 on a CDH 5.5 cluster. The job worked fine with Kerberos but when we implemented Encryption at Rest we ran into the following issue:-
...ANSWER
Answered 2017-Feb-15 at 16:13It seems to be a library conflict issue between open source Spark 1.6.1 and Cloudera's Spark. I changed my POM file to use
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install bigdata-service
You can download it from GitLab, GitHub.
You can use bigdata-service 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 bigdata-service 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 .
You can use bigdata-service 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 bigdata-service 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 .
Support
For any new features, suggestions and bugs create an issue on GitHub.
If you have any questions check and ask questions on community page Stack Overflow .
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