While running analytics workloads using EMR on S3 is a common deployment today, many organizations face issues in performance and consistency. EMR can be bottlenecked when reading large amounts of data from S3, and sharing data across multiple stages of a pipeline can be difficult as S3 is eventually consistent for read-your-own-write scenarios.
A simple solution is to run Spark on Alluxio as a distributed file system cache for S3. Alluxio stores data in memory close to Spark, providing high performance, in addition to providing data accessibility and abstraction for deployments in both public and hybrid clouds.
Bring your data to compute with open source
Data orchestration for analytics and machine learning in the cloud
Featured Use Cases and Deployments
Data in the public cloud slowing your compute down?
Get in-memory data access for Spark and Presto on AWS S3, Google Cloud Platform, or Microsoft Azure.
Can’t burst HDFS in your hybrid cloud environment?
Simplify Hadoop for the hybrid cloud by making on-prem HDFS accessible to any compute in the cloud.
Data in object stores across clouds not fast enough?
Accelerate your Spark, Presto, and Tensorflow workloads for object stores across clouds.
Interact with Alluxio in any stack
Pick a compute. Pick a storage. Alluxio just works.
// Using Alluxio as input and output for RDD
scala> sc.textFile("alluxio://master:19998/Input")
scala> rdd.saveAsTextFile("alluxio://master:19998/Output")
// Using Alluxio as input and output for Dataframe
scala> df = sqlContext.read.parquet("alluxio://master:19998/Input.parquet")
scala> df.write.parquet("alluxio://master:19998/Output.parquet")
-- Pointing Table location to Alluxio CREATE SCHEMA hive.web WITH (location = 'alluxio://master:port/my-table/')
Create and Query table stored in Alluxio hbase(main):001:0> create 'test', 'cf' hbase(main):002:0> list 'test'
-- Pointing Table location to Alluxio hive> CREATE TABLE u_user ( userid INT, age INT) ROW FORMAT DELIMITED FIELDS TERMINATED BY '|' LOCATION 'alluxio://master:port/table_data';
# Accessing Alluxio after mounting Alluxio service to local file system $ ls /mnt/alluxio_mount $ cat /mnt/alluxio_mount/mydata.txt
ALLUXIO
$ ./bin/alluxio fs mount \ --option aws.accessKeyId=<AWS_ACCESS_KEY_ID> \ --option aws.secretKey=<AWS_SECRET_KEY_ID> \ alluxio://master:port/s3 s3a://<S3_BUCKET>/<S3_DIRECTORY>
$ ./bin/alluxio fs mount \ alluxio://master:port/hdfs hdfs://namenode:port/dir/
$ ./bin/alluxio fs mount \ --option fs.azure.account.key.<AZURE_ACCOUNT>.blob.core.windows.net=<AZURE_ACCESS_KEY> \ alluxio://master:port/azure wasb://<AZURE_CONTAINER>@<AZURE_ACCOUNT>.blob.core.windows.net/<AZURE_DIRECTORY>/
$ ./bin/alluxio fs mount \ --option fs.gcs.accessKeyId=<GCS_ACCESS_KEY_ID> \ --option fs.gcs.secretAccessKey=<GCS_SECRET_ACCESS_KEY> \ alluxio://master:port/gcs gs://<GCS_BUCKET>/<GCS_DIRECTORY>
$ ./bin/alluxio fs mount \ --option aws.accessKeyId=<AWS_ACCESS_KEY_ID> \ --option aws.secretKey=<AWS_SECRET_KEY_ID> \ --option alluxio.underfs.s3.endpoint=http://<rgw-hostname>:<rgw-port> \ --option alluxio.underfs.s3.disable.dns.buckets=true \ alluxio://master:port/ceph s3a://<S3_BUCKET>/<S3_DIRECTORY>
$ ./bin/alluxio fs mount alluxio://master:port/nfs /mnt/nfs
Alluxio enables compute
Data accessibility
Make your data accessible.
No matter if it sits on-prem or in the cloud, HDFS or S3, make your files and objects accessible in many different ways.
powered by alluxio
What’s Happening
We are in the early stages of the data revolution. Organizations are racing to build data-driven cultures and innovate on data-driven applications. These applications impact many facets of our lives from the way we get to work to how we are medically diagnosed. However, the value of the data is far from being fully utilized … Continued
Notice anything new about our websites? That’s right – we are super excited to launch our new website – Alluxio.io! As we continue our focus on our open source community, one important item on our mind was to rebuild our website to provide better user experience for our community. To that end, you’ll see lots … Continued
Two Sigma, a leading hedge fund with more than $50 billion under management, turned to Alluxio for help with bursting Spark workloads in a … Continued
The data engineering team at Bazaarvoice, a software-as-a-service digital marketing company based in Austin, Texas, must handle data at massive Internet-scale to serve … Continued
See how Presto + Alluxio gives you the performance needed for your compute, regardless of where it is - in the cloud or on-premise. … Continued