bitnami-containers/bitnami/elasticsearch

Bitnami Elasticsearch Stack

What is Elasticsearch?

Elasticsearch is a distributed search and analytics engine. It is used for web search, log monitoring, and real-time analytics. Ideal for Big Data applications.

Overview of Elasticsearch Trademarks: This software listing is packaged by Bitnami. The respective trademarks mentioned in the offering are owned by the respective companies, and use of them does not imply any affiliation or endorsement.

TL;DR

docker run --name elasticsearch bitnami/elasticsearch:latest

You can find the available configuration options in the Environment Variables section.

⚠️ Important Notice: Upcoming changes to the Bitnami Catalog

Beginning August 28th, 2025, Bitnami will evolve its public catalog to offer a curated set of hardened, security-focused images under the new Bitnami Secure Images initiative. As part of this transition:

• Granting community users access for the first time to security-optimized versions of popular container images.
• Bitnami will begin deprecating support for non-hardened, Debian-based software images in its free tier and will gradually remove non-latest tags from the public catalog. As a result, community users will have access to a reduced number of hardened images. These images are published only under the “latest” tag and are intended for development purposes
• Starting August 28th, over two weeks, all existing container images, including older or versioned tags (e.g., 2.50.0, 10.6), will be migrated from the public catalog (docker.io/bitnami) to the “Bitnami Legacy” repository (docker.io/bitnamilegacy), where they will no longer receive updates.
• For production workloads and long-term support, users are encouraged to adopt Bitnami Secure Images, which include hardened containers, smaller attack surfaces, CVE transparency (via VEX/KEV), SBOMs, and enterprise support.

These changes aim to improve the security posture of all Bitnami users by promoting best practices for software supply chain integrity and up-to-date deployments. For more details, visit the Bitnami Secure Images announcement.

Why use Bitnami Secure Images?

• Bitnami Secure Images and Helm charts are built to make open source more secure and enterprise ready.
• Triage security vulnerabilities faster, with transparency into CVE risks using industry standard Vulnerability Exploitability Exchange (VEX), KEV, and EPSS scores.
• Our hardened images use a minimal OS (Photon Linux), which reduces the attack surface while maintaining extensibility through the use of an industry standard package format.
• Stay more secure and compliant with continuously built images updated within hours of upstream patches.
• Bitnami containers, virtual machines and cloud images use the same components and configuration approach - making it easy to switch between formats based on your project needs.
• Hardened images come with attestation signatures (Notation), SBOMs, virus scan reports and other metadata produced in an SLSA-3 compliant software factory.

Only a subset of BSI applications are available for free. Looking to access the entire catalog of applications as well as enterprise support? Try the commercial edition of Bitnami Secure Images today.

How to deploy Elasticsearch in Kubernetes?

Deploying Bitnami applications as Helm Charts is the easiest way to get started with our applications on Kubernetes. Read more about the installation in the Bitnami Elasticsearch Chart GitHub repository.

Why use a non-root container?

Non-root container images add an extra layer of security and are generally recommended for production environments. However, because they run as a non-root user, privileged tasks are typically off-limits. Learn more about non-root containers in our docs.

Supported tags and respective Dockerfile links

Learn more about the Bitnami tagging policy and the difference between rolling tags and immutable tags in our documentation page.

You can see the equivalence between the different tags by taking a look at the tags-info.yaml file present in the branch folder, i.e bitnami/ASSET/BRANCH/DISTRO/tags-info.yaml.

Subscribe to project updates by watching the bitnami/containers GitHub repo.

Get this image

The recommended way to get the Bitnami Elasticsearch Docker Image is to pull the prebuilt image from the Docker Hub Registry.

docker pull bitnami/elasticsearch:latest

To use a specific version, you can pull a versioned tag. You can view the list of available versions in the Docker Hub Registry.

docker pull bitnami/elasticsearch:[TAG]

If you wish, you can also build the image yourself by cloning the repository, changing to the directory containing the Dockerfile and executing the docker build command. Remember to replace the APP, VERSION and OPERATING-SYSTEM path placeholders in the example command below with the correct values.

git clone https://github.com/bitnami/containers.git
cd bitnami/APP/VERSION/OPERATING-SYSTEM
docker build -t bitnami/APP:latest .

Persisting your application

If you remove the container all your data will be lost, and the next time you run the image the application will be reinitialized. To avoid this loss of data, you should mount a volume that will persist even after the container is removed.

For persistence you should mount a directory at the /bitnami path. If the mounted directory is empty, it will be initialized on the first run.

docker run \
    -v /path/to/elasticsearch-data-persistence:/bitnami/elasticsearch/data \
    bitnami/elasticsearch:latest

or by making a minor change to the docker-compose.yml file present in this repository:

elasticsearch:
  ...
  volumes:
    - /path/to/elasticsearch-data-persistence:/bitnami/elasticsearch/data
  ...

NOTE: As this is a non-root container, the mounted files and directories must have the proper permissions for the UID 1001.

It is also possible to use multiple volumes for data persistence by using the ELASTICSEARCH_DATA_DIR_LIST environment variable:

elasticsearch:
  ...
  volumes:
    - /path/to/elasticsearch-data-persistence-1:/elasticsearch/data-1
    - /path/to/elasticsearch-data-persistence-2:/elasticsearch/data-2
  environment:
    - ELASTICSEARCH_DATA_DIR_LIST=/elasticsearch/data-1,/elasticsearch/data-2
  ...

Connecting to other containers

Using Docker container networking, an Elasticsearch server running inside a container can easily be accessed by your application containers.

Containers attached to the same network can communicate with each other using the container name as the hostname.

Using the Command Line

Step 1: Create a network

docker network create app-tier --driver bridge

Step 2: Launch the Elasticsearch server instance

Use the --network app-tier argument to the docker run command to attach the Elasticsearch container to the app-tier network.

docker run -d --name elasticsearch-server \
    --network app-tier \
    bitnami/elasticsearch:latest

Step 3: Launch your application container

docker run -d --name myapp \
    --network app-tier \
    YOUR_APPLICATION_IMAGE

IMPORTANT:

1. Please update the YOUR_APPLICATION_IMAGE_ placeholder in the above snippet with your application image
2. In your application container, use the hostname elasticsearch-server to connect to the Elasticsearch server

Using a Docker Compose file

When not specified, Docker Compose automatically sets up a new network and attaches all deployed services to that network. However, we will explicitly define a new bridge network named app-tier. In this example we assume that you want to connect to the Elasticsearch server from your own custom application image which is identified in the following snippet by the service name myapp.

version: '2'

networks:
  app-tier:
    driver: bridge

services:
  elasticsearch:
    image: bitnami/elasticsearch:latest
    networks:
      - app-tier
  myapp:
    image: YOUR_APPLICATION_IMAGE
    networks:
      - app-tier

IMPORTANT:

1. Please update the YOUR_APPLICATION_IMAGE_ placeholder in the above snippet with your application image
2. In your application container, use the hostname elasticsearch to connect to the Elasticsearch server

Launch the containers using:

docker-compose up -d

Configuration

Environment variables

Customizable environment variables

Name	Description	Default Value
ELASTICSEARCH_CERTS_DIR	Path to certificates folder.	${DB_CONF_DIR}/certs
ELASTICSEARCH_DATA_DIR_LIST	Comma, semi-colon or space separated list of directories to use for data storage	nil
ELASTICSEARCH_BIND_ADDRESS	Elasticsearch bind address	nil
ELASTICSEARCH_ADVERTISED_HOSTNAME	Elasticsearch advertised hostname, used for publish	nil
ELASTICSEARCH_CLUSTER_HOSTS	Elasticsearch cluster hosts	nil
ELASTICSEARCH_CLUSTER_MASTER_HOSTS	Elasticsearch cluster master hosts	nil
ELASTICSEARCH_CLUSTER_NAME	Elasticsearch cluster name	nil
ELASTICSEARCH_HEAP_SIZE	Elasticsearch heap size	1024m
ELASTICSEARCH_MAX_ALLOWED_MEMORY_PERCENTAGE	Elasticsearch maximum allowed memory percentage	100
ELASTICSEARCH_MAX_ALLOWED_MEMORY	Elasticsearch maximum allowed memory amount (in megabytes)	nil
ELASTICSEARCH_MAX_TIMEOUT	Elasticsearch maximum init timeout	60
ELASTICSEARCH_LOCK_ALL_MEMORY	Sets bootstrap.memory_lock parameter	no
ELASTICSEARCH_DISABLE_JVM_HEAP_DUMP	Disable JVM Heap dump	no
ELASTICSEARCH_DISABLE_GC_LOGS	Disable GC logs	no
ELASTICSEARCH_IS_DEDICATED_NODE	If false, Elasticsearch will be configured with all the roles, deploy as dedicated node using DB_NODE_ROLES.	no
ELASTICSEARCH_MINIMUM_MASTER_NODES	Minimum number of master nodes	nil
ELASTICSEARCH_NODE_NAME	Elasticsearch node name	nil
ELASTICSEARCH_FS_SNAPSHOT_REPO_PATH	Elasticsearch repo path to restore snapshots from system repository	nil
ELASTICSEARCH_NODE_ROLES	Comma-separated list of Elasticsearch roles. If empty, will be deployed as a coordinating-only node.	nil
ELASTICSEARCH_PLUGINS	List of Elasticsearch plugins to activate	nil
ELASTICSEARCH_TRANSPORT_PORT_NUMBER	Elasticsearch node port number	9300
ELASTICSEARCH_HTTP_PORT_NUMBER	Elasticsearch port	9200
ELASTICSEARCH_ACTION_DESTRUCTIVE_REQUIRES_NAME	Enable action destructive requires name	nil
ELASTICSEARCH_ENABLE_SECURITY	Enable Elasticsearch security settings.	false
ELASTICSEARCH_PASSWORD	Password for "elastic" user.	bitnami
ELASTICSEARCH_TLS_VERIFICATION_MODE	Elasticsearch TLS verification mode in transport layer.	full
ELASTICSEARCH_TLS_USE_PEM	Configure Security settings using PEM certificates.	false
ELASTICSEARCH_KEYSTORE_PASSWORD	Password for the Elasticsearch keystore containing the certificates or password-protected PEM key.	nil
ELASTICSEARCH_TRUSTSTORE_PASSWORD	Password for the Elasticsearch truststore.	nil
ELASTICSEARCH_KEY_PASSWORD	Password for the Elasticsearch node PEM key.	nil
ELASTICSEARCH_KEYSTORE_LOCATION	Path to Keystore	${DB_CERTS_DIR}/elasticsearch.keystore.jks
ELASTICSEARCH_TRUSTSTORE_LOCATION	Path to Truststore.	${DB_CERTS_DIR}/elasticsearch.truststore.jks
ELASTICSEARCH_NODE_CERT_LOCATION	Path to PEM node certificate.	${DB_CERTS_DIR}/tls.crt
ELASTICSEARCH_NODE_KEY_LOCATION	Path to PEM node key.	${DB_CERTS_DIR}/tls.key
ELASTICSEARCH_CA_CERT_LOCATION	Path to CA certificate.	${DB_CERTS_DIR}/ca.crt
ELASTICSEARCH_SKIP_TRANSPORT_TLS	Skips transport layer TLS configuration. Useful when deploying single-node clusters.	false
ELASTICSEARCH_TRANSPORT_TLS_USE_PEM	Configure transport layer TLS settings using PEM certificates.	$DB_TLS_USE_PEM
ELASTICSEARCH_TRANSPORT_TLS_KEYSTORE_PASSWORD	Password for the Elasticsearch transport layer TLS keystore containing the certificates or password-protected PEM key.	$DB_KEYSTORE_PASSWORD
ELASTICSEARCH_TRANSPORT_TLS_TRUSTSTORE_PASSWORD	Password for the Elasticsearch transport layer TLS truststore.	$DB_TRUSTSTORE_PASSWORD
ELASTICSEARCH_TRANSPORT_TLS_KEY_PASSWORD	Password for the Elasticsearch transport layer TLS node PEM key.	$DB_KEY_PASSWORD
ELASTICSEARCH_TRANSPORT_TLS_KEYSTORE_LOCATION	Path to Keystore for transport layer TLS.	$DB_KEYSTORE_LOCATION
ELASTICSEARCH_TRANSPORT_TLS_TRUSTSTORE_LOCATION	Path to Truststore for transport layer TLS.	$DB_TRUSTSTORE_LOCATION
ELASTICSEARCH_TRANSPORT_TLS_NODE_CERT_LOCATION	Path to PEM node certificate for transport layer TLS.	$DB_NODE_CERT_LOCATION
ELASTICSEARCH_TRANSPORT_TLS_NODE_KEY_LOCATION	Path to PEM node key for transport layer TLS.	$DB_NODE_KEY_LOCATION
ELASTICSEARCH_TRANSPORT_TLS_CA_CERT_LOCATION	Path to CA certificate for transport layer TLS.	$DB_CA_CERT_LOCATION
ELASTICSEARCH_ENABLE_REST_TLS	Enable TLS encryption for REST API communications.	true
ELASTICSEARCH_HTTP_TLS_USE_PEM	Configure HTTP TLS settings using PEM certificates.	$DB_TLS_USE_PEM
ELASTICSEARCH_HTTP_TLS_KEYSTORE_PASSWORD	Password for the Elasticsearch HTTP TLS keystore containing the certificates or password-protected PEM key.	$DB_KEYSTORE_PASSWORD
ELASTICSEARCH_HTTP_TLS_TRUSTSTORE_PASSWORD	Password for the Elasticsearch HTTP TLS truststore.	$DB_TRUSTSTORE_PASSWORD
ELASTICSEARCH_HTTP_TLS_KEY_PASSWORD	Password for the Elasticsearch HTTP TLS node PEM key.	$DB_KEY_PASSWORD
ELASTICSEARCH_HTTP_TLS_KEYSTORE_LOCATION	Path to Keystore for HTTP TLS.	$DB_KEYSTORE_LOCATION
ELASTICSEARCH_HTTP_TLS_TRUSTSTORE_LOCATION	Path to Truststore for HTTP TLS.	$DB_TRUSTSTORE_LOCATION
ELASTICSEARCH_HTTP_TLS_NODE_CERT_LOCATION	Path to PEM node certificate for HTTP TLS.	$DB_NODE_CERT_LOCATION
ELASTICSEARCH_HTTP_TLS_NODE_KEY_LOCATION	Path to PEM node key for HTTP TLS.	$DB_NODE_KEY_LOCATION
ELASTICSEARCH_HTTP_TLS_CA_CERT_LOCATION	Path to CA certificate for HTTP TLS.	$DB_CA_CERT_LOCATION
ELASTICSEARCH_ENABLE_FIPS_MODE	Enables FIPS mode of operation	false
ELASTICSEARCH_PASSWD_HASH_ALGORITHM	Password hashing algorithm	nil
ELASTICSEARCH_KEYS	Comma-separated list of key=value to be added to the Elasticsearch keystore	nil
ES_JAVA_HOME	Elasticsearch supported Java installation folder.	${JAVA_HOME}

Read-only environment variables

Name	Description	Value
DB_FLAVOR	Database flavor. Valid values: elasticsearch or opensearch.	elasticsearch
ELASTICSEARCH_VOLUME_DIR	Persistence base directory	/bitnami/elasticsearch
ELASTICSEARCH_BASE_DIR	Elasticsearch installation directory	/opt/bitnami/elasticsearch
ELASTICSEARCH_CONF_DIR	Elasticsearch configuration directory	${DB_BASE_DIR}/config
ELASTICSEARCH_DEFAULT_CONF_DIR	Elasticsearch default configuration directory	${DB_BASE_DIR}/config.default
ELASTICSEARCH_LOGS_DIR	Elasticsearch logs directory	${DB_BASE_DIR}/logs
ELASTICSEARCH_PLUGINS_DIR	Elasticsearch plugins directory	${DB_BASE_DIR}/plugins
ELASTICSEARCH_DEFAULT_PLUGINS_DIR	Elasticsearch default plugins directory	${DB_BASE_DIR}/plugins.default
ELASTICSEARCH_DATA_DIR	Elasticsearch data directory	${DB_VOLUME_DIR}/data
ELASTICSEARCH_TMP_DIR	Elasticsearch temporary directory	${DB_BASE_DIR}/tmp
ELASTICSEARCH_BIN_DIR	Elasticsearch executables directory	${DB_BASE_DIR}/bin
ELASTICSEARCH_MOUNTED_PLUGINS_DIR	Directory where plugins are mounted	${DB_VOLUME_DIR}/plugins
ELASTICSEARCH_CONF_FILE	Path to Elasticsearch configuration file	${DB_CONF_DIR}/elasticsearch.yml
ELASTICSEARCH_LOG_FILE	Path to the Elasticsearch log file	${DB_LOGS_DIR}/elasticsearch.log
ELASTICSEARCH_PID_FILE	Path to the Elasticsearch pid file	${DB_TMP_DIR}/elasticsearch.pid
ELASTICSEARCH_INITSCRIPTS_DIR	Path to the Elasticsearch container init scripts directory	/docker-entrypoint-initdb.d
ELASTICSEARCH_DAEMON_USER	Elasticsearch system user	elasticsearch
ELASTICSEARCH_DAEMON_GROUP	Elasticsearch system group	elasticsearch
ELASTICSEARCH_USERNAME	Username of the Elasticsearch superuser.	elastic
JAVA_HOME	Java installation folder.	${BITNAMI_ROOT_DIR}/java
ES_JAVA_OPTS	Elasticsearch supported Java options.	${ES_JAVA_OPTS:-} ${JAVA_TOOL_OPTIONS:-}
CLI_JAVA_OPTS	Elasticsearch CLI supported Java options.	${CLI_JAVA_OPTS:-} ${JAVA_TOOL_OPTIONS:-}

When you start the elasticsearch image, you can adjust the configuration of the instance by passing one or more environment variables either on the docker-compose file or on the docker run command line. If you want to add a new environment variable:

• For Docker Compose, add the variable name and value under the application section:

elasticsearch:
  ...
  environment:
    - ELASTICSEARCH_PORT_NUMBER=9201
  ...

• For manual execution add a -e option with each variable and value:

 $ docker run -d --name elasticsearch \
    -p 9201:9201 --network=elasticsearch_network \
    -e ELASTICSEARCH_PORT_NUMBER=9201 \
    -v /path/to/elasticsearch-data-persistence:/bitnami/elasticsearch/data \
    bitnami/elasticsearch

Step 1: Create a new network

docker network create elasticsearch_network

Step 2: Create the first node

docker run --name elasticsearch-node1 \
  --net=elasticsearch_network \
  -p 9200:9200 \
  -e ELASTICSEARCH_CLUSTER_NAME=elasticsearch-cluster \
  -e ELASTICSEARCH_CLUSTER_HOSTS=elasticsearch-node1,elasticsearch-node2 \
  -e ELASTICSEARCH_NODE_NAME=elastic-node1 \
  bitnami/elasticsearch:latest

In the above command the container is added to a cluster named elasticsearch-cluster using the ELASTICSEARCH_CLUSTER_NAME. The ELASTICSEARCH_CLUSTER_HOSTS parameter set the name of the nodes that set the cluster so we will need to launch other container for the second node. Finally the ELASTICSEARCH_NODE_NAME parameter allows to indicate a known name for the node, otherwise elasticsearch will generate a random one.

Step 3: Create a second node

docker run --name elasticsearch-node2 \
  --link elasticsearch-node1:elasticsearch-node1 \
  --net=elasticsearch_network \
  -e ELASTICSEARCH_CLUSTER_NAME=elasticsearch-cluster \
  -e ELASTICSEARCH_CLUSTER_HOSTS=elasticsearch-node1,elasticsearch-node2 \
  -e ELASTICSEARCH_NODE_NAME=elastic-node2 \
  bitnami/elasticsearch:latest

In the above command a new elasticsearch node is being added to the elasticsearch cluster indicated by ELASTICSEARCH_CLUSTER_NAME.

You now have a two node Elasticsearch cluster up and running which can be scaled by adding/removing nodes.

With Docker Compose the cluster configuration can be setup using:

version: '2'
services:
  elasticsearch-node1:
    image: bitnami/elasticsearch:latest
    environment:
      - ELASTICSEARCH_CLUSTER_NAME=elasticsearch-cluster
      - ELASTICSEARCH_CLUSTER_HOSTS=elasticsearch-node1,elasticsearch-node2
      - ELASTICSEARCH_NODE_NAME=elastic-node1

  elasticsearch-node2:
    image: bitnami/elasticsearch:latest
    environment:
      - ELASTICSEARCH_CLUSTER_NAME=elasticsearch-cluster
      - ELASTICSEARCH_CLUSTER_HOSTS=elasticsearch-node1,elasticsearch-node2
      - ELASTICSEARCH_NODE_NAME=elastic-node2

Configuration file

In order to use a custom configuration file instead of the default one provided out of the box, you can create a file named elasticsearch.yml and mount it at /opt/bitnami/elasticsearch/config/elasticsearch.yml to overwrite the default configuration:

docker run -d --name elasticsearch \
    -p 9201:9201 \
    -v /path/to/elasticsearch.yml:/opt/bitnami/elasticsearch/config/elasticsearch.yml \
    -v /path/to/elasticsearch-data-persistence:/bitnami/elasticsearch/data \
    bitnami/elasticsearch:latest

or by changing the docker-compose.yml file present in this repository:

elasticsearch:
  ...
  volumes:
    - /path/to/elasticsearch.yml:/opt/bitnami/elasticsearch/config/elasticsearch.yml
    - /path/to/elasticsearch-data-persistence:/bitnami/elasticsearch/data
  ...

Please, note that the whole configuration file will be replaced by the provided, default one; ensure that the syntax and fields you provide are properly set and exhaustive.

If you would rather extend than replace the default configuration with your settings, mount your custom configuration file at /opt/bitnami/elasticsearch/config/my_elasticsearch.yml.

Plugins

The Bitnami Elasticsearch Docker image comes with the S3 Repository plugin installed by default.

You can add extra plugins by setting the ELASTICSEARCH_PLUGINS environment variable. To specify multiple plugins, separate them by spaces, commas or semicolons. When the container is initialized it will install all of the specified plugins before starting Elasticsearch.

docker run -d --name elasticsearch \
    -e ELASTICSEARCH_PLUGINS=analysis-icu \
    bitnami/elasticsearch:latest

The Bitnami Elasticsearch Docker image will also install plugin .zip files mounted at the /bitnami/elasticsearch/plugins directory inside the container, making it possible to install them from disk without requiring Internet access.

Adding plugins at build time (persisting plugins)

The Bitnami Elasticsearch image provides a way to create your custom image installing plugins on build time. This is the preferred way to persist plugins when using ElasticSearch, as they will not be installed every time the container is started but just once at build time.

To create your own image providing plugins execute the following command. Remember to replace the VERSION and OPERATING-SYSTEM path placeholders in the example command below with the correct values.

git clone https://github.com/bitnami/containers.git
cd bitnami/elasticsearch/VERSION/OPERATING-SYSTEM
docker build --build-arg ELASTICSEARCH_PLUGINS=<plugin1,plugin2,...> -t bitnami/elasticsearch:latest .

The command above will build the image providing this GitHub repository as build context, and will pass the list of plugins to install to the build logic.

Initializing a new instance

When the container is executed for the first time, it will execute the files with extension .sh located at /docker-entrypoint-initdb.d.

In order to have your custom files inside the Docker image, you can mount them as a volume.

FIPS configuration in Bitnami Secure Images

The Bitnami Elasticsearch Docker image from the Bitnami Secure Images catalog includes extra features and settings to configure the container with FIPS capabilities. You can configure the next environment variables:

• OPENSSL_FIPS: whether OpenSSL runs in FIPS mode or not. yes (default), no.

Logging

The Bitnami Elasticsearch Docker image sends the container logs to the stdout. To view the logs:

docker logs elasticsearch

or using Docker Compose:

docker-compose logs elasticsearch

You can configure the containers logging driver using the --log-driver option if you wish to consume the container logs differently. In the default configuration docker uses the json-file driver.

Additionally, in case you'd like to modify Elasticsearch logging configuration, it can be done by overwriting the file /opt/bitnami/elasticsearch/config/log4j2.properties. The syntax of this file can be found in Elasticsearch logging documentation.

Maintenance

Upgrade this image

Bitnami provides up-to-date versions of Elasticsearch, including security patches, soon after they are made upstream. We recommend that you follow these steps to upgrade your container.

Step 1: Get the updated image

docker pull bitnami/elasticsearch:latest

or if you're using Docker Compose, update the value of the image property to bitnami/elasticsearch:latest.

Step 2: Stop and backup the currently running container

Stop the currently running container using the command

docker stop elasticsearch

or using Docker Compose:

docker-compose stop elasticsearch

Next, take a snapshot of the persistent volume /path/to/elasticsearch-data-persistence using:

rsync -a /path/to/elasticsearch-data-persistence /path/to/elasticsearch-data-persistence.bkp.$(date +%Y%m%d-%H.%M.%S)

You can use this snapshot to restore the application state should the upgrade fail.

Step 3: Remove the currently running container

docker rm -v elasticsearch

or using Docker Compose:

docker-compose rm -v elasticsearch

Step 4: Run the new image

Re-create your container from the new image, restoring your backup if necessary.

docker run --name elasticsearch bitnami/elasticsearch:latest

or using Docker Compose:

docker-compose up elasticsearch

Notable Changes

7.12.0-debian-10-r0

• Elasticsearch 7.12.0 version or later are licensed under the Elastic License that is not currently accepted as an Open Source license by the Open Source Initiative (OSI).
• Elasticsearch 7.12.0 version or later are including x-pack plugin installed by default. Follow the official documentation to use it.

6.8.5-debian-9-r0, 6.8.5-ol-7-r1, 7.4.2-debian-9-r10, 7.4.2-ol-7-r27

• Arbitrary user ID(s) when running the container with a non-privileged user is not supported (only 1001 UID is allowed).
• This is temporary solution while Elasticsearch maintainers address an issue with ownership/permissions when installing plugins.

6.8.2-debian-9-r36, 6.8.2-ol-7-r36, 7.3.1-debian-9-r8, 7.3.1-ol-7-r13

• Updated OpenJDK to version 11

6.6.1-debian-9-r12, 6.6.1-ol-7-r13, 6.6.1-rhel-7-r13, 5.6.15-debian-9-r12 and 5.6.15-ol-7-r13

• Deprecate the use of elasticsearch_custom.yml in favor of replacing the whole elasticsearch.yml file.

6.4.0-debian-9-r19, 6.4.0-ol-7-r18, 5.6.4-debian-9-r54, and 5.6.4-ol-7-r60

• Decrease the size of the container. It is not necessary Node.js anymore. Elasticsearch configuration moved to bash scripts in the rootfs/ folder.
• The recommended mount point to persist data changes to /bitnami/elasticsearch/data.
• The Elasticsearch configuration files are not persisted in a volume anymore. Now, they can be found at /opt/bitnami/elasticsearch/config.
• Elasticsearch plugins and modules are not persisted anymore. It's necessary to indicate what plugins to install using the env. variable ELASTICSEARCH_PLUGINS
• Backwards compatibility is not guaranteed when data is persisted using docker-compose. You can use the workaround below to overcome it:

$ docker-compose down
# Change the mount point
sed -i -e 's#elasticsearch_data:/bitnami#elasticsearch_data:/bitnami/elasticsearch/data#g' docker-compose.yml
# Pull the latest bitnami/elasticsearch image
$ docker pull bitnami/elasticsearch:latest
$ docker-compose up -d

6.2.3-r7 & 5.6.4-r18

• The Elasticsearch container has been migrated to a non-root user approach. Previously the container ran as the root user and the Elasticsearch daemon was started as the elasticsearch user. From now on, both the container and the Elasticsearch daemon run as user 1001. As a consequence, the data directory must be writable by that user. You can revert this behavior by changing USER 1001 to USER root in the Dockerfile.

6.2.3-r2 & 5.6.4-r6

• Elasticsearch container can be configured as a dedicated node with 4 different types: master, data, coordinating or ingest. Previously it was only achievable by using a custom elasticsearch_custom.yml file. From now on, you can use the environment variables ELASTICSEARCH_IS_DEDICATED_NODE & ELASTICSEARCH_NODE_TYPE to configure it.

Using docker-compose.yaml

Please be aware this file has not undergone internal testing. Consequently, we advise its use exclusively for development or testing purposes. For production-ready deployments, we highly recommend utilizing its associated Bitnami Helm chart.

If you detect any issue in the docker-compose.yaml file, feel free to report it or contribute with a fix by following our Contributing Guidelines.

Contributing

We'd love for you to contribute to this Docker image. You can request new features by creating an [issue], or submitting a pull request with your contribution.

Issues

If you encountered a problem running this container, you can file an issue. For us to provide better support, be sure to include the following information in your issue:

• Host OS and version
• Docker version (docker version)
• Output of docker info
• Version of this container
• The command you used to run the container, and any relevant output you saw (masking any sensitive information)

License

Copyright © 2025 Broadcom. The term "Broadcom" refers to Broadcom Inc. and/or its subsidiaries.

Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at

http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.