Running Trino with Alluxio

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Trino is an open source distributed SQL query engine for running interactive analytic queries on data at a large scale. This guide describes how to run queries against Trino with Alluxio as a distributed caching layer, for any data storage systems that Alluxio supports (AWS S3, HDFS, Azure Blob Store, NFS, and more). Alluxio allows Trino to access data regardless of the data source and transparently cache frequently accessed data (e.g., tables commonly used) into Alluxio distributed storage. Co-locating Alluxio workers with Trino workers improves data locality and reduces the I/O access latency when other storage systems are remote or the network is slow or congested.


  • Setup Java for Java 11, at least version 11.0.7, 64-bit,as required by Trino
  • Setup Python version 2.6.x, 2.7.x, or 3.x, as required by Trino
  • Deploy Trino. This guide is tested with Trino-352.
  • Alluxio has been set up and is running.
  • Make sure that the Alluxio client jar is available. This Alluxio client jar file can be found at /<PATH_TO_ALLUXIO>/client/alluxio-2.10.0-2.15-client.jar in the tarball downloaded from Alluxio download page.
  • Make sure that Hive Metastore is running to serve metadata information of Hive tables.

Basic Setup

Configure Trino to connect to Hive Metastore

Trino gets the database and table metadata information (including file system locations) from the Hive Metastore, via Trino’s Hive connector. Here is a example Trino configuration file ${Trino_HOME}/etc/catalog/, for a catalog using the Hive connector, where the metastore is located on localhost.

Distribute the Alluxio client jar to all Trino servers

In order for Trino to be able to communicate with the Alluxio servers, the Alluxio client jar must be in the classpath of Trino servers. Please note, this directories may differ across versions.

  • For Trino version before 434
    • Put the Alluxio client jar /<PATH_TO_ALLUXIO>/client/alluxio-2.10.0-2.15-client.jar into the directory ${Trino_HOME}/plugin/hive/ and ${Trino_HOME}/plugin/iceberg/ on all Trino servers.
  • For Trino version 434 and after
    • Put the Alluxio client jar /<PATH_TO_ALLUXIO>/client/alluxio-2.10.0-2.15-client.jar into the directory ${Trino_HOME}/plugin/hdfs/hdfs/ and ${Trino_HOME}/plugin/iceberg/hdfs on all Trino servers.

Restart the Trino workers and coordinator:

$ ${Trino_HOME}/bin/launcher restart

After completing the basic configuration, Trino should be able to access data in Alluxio. To configure more advanced features for Trino (e.g., connect to Alluxio with HA), please follow the instructions at Advanced Setup.

Examples: Use Trino to Query Tables on Alluxio

Create a Hive table on Alluxio

Here is an example to create an internal table in Hive backed by files in Alluxio. You can download a data file (e.g., from Unzip this file and upload the file u.user into /ml-100k/ in Alluxio:

$ ./bin/alluxio fs mkdir /ml-100k
$ ./bin/alluxio fs copyFromLocal /path/to/ml-100k/u.user alluxio:///ml-100k

Create an external Hive table pointing to the Alluxio file location.

hive> CREATE TABLE u_user (
  userid INT,
  age INT,
  gender CHAR(1),
  occupation STRING,
  zipcode STRING)
LOCATION 'alluxio://master_hostname:port/ml-100k';

You can see the directory and files that Hive creates by viewing the Alluxio WebUI at http://master_hostname:19999

Start Hive Metastore

Ensure your Hive Metastore service is running. Hive Metastore listens on port 9083 by default. If it is not running, execute the following command to start the metastore:

$ ${HIVE_HOME}/bin/hive --service metastore

Start Trino server

Start your Trino server. Trino server runs on port 8080 by default (configurable with http-server.http.port in ${Trino_HOME}/etc/ ):

$ ${Trino_HOME}/bin/launcher run

Query tables using Trino

Follow Trino CLI instructions to download the trino-cli-<Trino_VERSION>-executable.jar, rename it to trino, and make it executable with chmod +x (sometimes the executable trino exists in ${trino_HOME}/bin/trino and you can use it directly).

Run a single query (replace localhost:8080 with your actual Trino server hostname and port):

$ ./trino --server localhost:8080 --execute "use default; select * from u_user limit 10;" \
  --catalog hive --debug

Advanced Setup

Customize Alluxio User Properties

To configure additional Alluxio properties, you can append the conf path (i.e. ${ALLUXIO_HOME}/conf) containing to Trino’s JVM config at etc/jvm.config under Trino folder. The advantage of this approach is to have all the Alluxio properties set within the same file of


Alternatively, add Alluxio properties to the Hadoop configuration files (core-site.xml, hdfs-site.xml), and use the Trino property hive.config.resources in the file ${Trino_HOME}/etc/catalog/ to point to the Hadoop resource locations for every Trino worker.


Example: connect to Alluxio with HA

If the Alluxio HA cluster uses internal leader election, set the Alluxio cluster property appropriately in the file which is on the classpath.


Alternatively you can add the property to the Hadoop core-site.xml configuration which is contained by hive.config.resources.


For information about how to connect to Alluxio HA cluster using Zookeeper-based leader election, please refer to HA mode client configuration parameters.

Example: change default Alluxio write type

For example, change alluxio.user.file.writetype.default from default MUST_CACHE to CACHE_THROUGH.

One can specify the property in and distribute this file to the classpath of each Trino node:


Alternatively, modify conf/hive-site.xml to include:


Increase parallelism

Trino’s Hive connector uses the config hive.max-split-size to control the parallelism of the query. For Alluxio 1.6 or earlier, it is recommended to set this size no less than Alluxio’s block size to avoid the read contention within the same block. For later Alluxio versions, this is no longer an issue because of Alluxio’s async caching abilities.

Avoid Trino timeouts when reading large files

It is recommended to increase to a bigger value (e.g 10min) to avoid a timeout failure when reading large files from remote workers.

Alluxio with Northbound Kerberos Enabled

See (See Trino With Alluxio Northbound Kerberos Environment)