Open sourcing Kube2Hadoop: Secure access to HDFS from Kubernetes
Open Source Open sourcing Kube2Hadoop: Secure access to HDFS from Kubernetes Co-authors: Cong Gu, Abin Shahab, Chen Qiang, and Keqiu Hu Editor's note: This blog has been updated. LinkedIn AI has been traditionally Hadoop/YARN based, and we operate one of the world’s largest Hadoop data lakes, with over 4,500 users and 500PB of data. In the last few years, Kubernetes has also become very popular at
Native Hadoop file system (HDFS) connectivity in Python
There have been many Python libraries developed for interacting with the Hadoop File System, HDFS, via its WebHDFS gateway as well as its native Protocol Buffers-based RPC interface. I'll give you an overview of what's out there and show some engineering I've been doing to offer a high performance HDFS interface within the developing Arrow ecosystem. This blog is a follow up to my 2017 Roadmap pos
Using CombineInputFormat to Combat Hadoop’s Small Files Problem | Amazon Web Services
AWS Big Data Blog Using CombineInputFormat to Combat Hadoop’s Small Files Problem James Norvell is a Big Data Cloud Support Engineer for AWS Many Amazon EMR customers have architectures that track events and streams and store data in S3. This frequently leads to many small files. It’s now well known that Hadoop doesn’t deal well with small files. This issue can be amplified when migrating from Had
Store images/videos into Hadoop HDFS
It is absolutely possible without doing anything extra. Hadoop provides us the facility to read/write binary files. So, practically anything which can be converted into bytes can be stored into HDFS(images, videos etc). To do that Hadoop provides something called as SequenceFiles. SequenceFile is a flat file consisting of binary key/value pairs. The SequenceFile provides a Writer, Reader and Sorte
Hadoop Operations Powered By ... Hadoop (Hadoop Summit 2014 Amsterdam)
Hadoop Operations Powered By ... Hadoop (Hadoop Summit 2014 Amsterdam) At Spotify we collect huge volumes of data for many purposes. Reporting to labels, powering our product features, and analyzing user growth are some of our most common ones. Additionally, we collect many operational metrics related to the responsiveness, utilization and capacity of our servers. To store and process this data, w
Using Apache Hadoop and Impala together with MySQL for data analysis
All of Percona’s open-source software products, in one place, to download as much or as little as you need.
[HDFS-4949] Centralized cache management in HDFS - ASF JIRA
HDFS currently has no support for managing or exposing in-memory caches at datanodes. This makes it harder for higher level application frameworks like Hive, Pig, and Impala to effectively use cluster memory, because they cannot explicitly cache important datasets or place their tasks for memory locality.
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how to get input file name as column within hive query
https://hortonworks.github.io/hdp-aws/s3-copy-data/index.html
Cloudera Blog
データ活用を効率化するHadoop WebUIと権限管理改善事例
[HADOOP-10400] Incorporate new S3A FileSystem implementation - ASF JIRA
[FLUME-2055] Flume leaves .tmp files in HDFS (unclosed?) after NameNode goes down - ASF JIRA
GitHub - tmalaska/FileIngestor: A simple program to put files from a directory into HDFS with the added functionality and defining how that action will happen
GitHub - avibryant/hdfsync: Simple utility for syncing local files to HDFS
https://research.cs.wisc.edu/adsl/Publications/fbmessages-fast14.pdf
FAST '14 - Analysis of HDFS Under HBase: A Facebook Messages Case Study
GitHub - edwardcapriolo/filecrush: Remedy small files by combining them into larger ones.
pacman.dvi
https://issues.apache.org/jira/secure/attachment/12590505/caching-design-doc-2013-07-02.pdf