# Elasticsearch integration **[STARTER ONLY]**

> [Introduced](https://gitlab.com/gitlab-org/gitlab-ee/merge_requests/109 "Elasticsearch Merge Request") in GitLab [Starter](https://about.gitlab.com/pricing/) 8.4. Support
> for [Amazon Elasticsearch](http://docs.aws.amazon.com/elasticsearch-service/latest/developerguide/es-gsg.html) was [introduced](https://gitlab.com/gitlab-org/gitlab-ee/merge_requests/1305) in GitLab
> [Starter](https://about.gitlab.com/pricing/) 9.0.

This document describes how to set up Elasticsearch with GitLab. Once enabled,
you'll have the benefit of fast search response times and the advantage of two
special searches:

- [Advanced Global Search](../user/search/advanced_global_search.md)
- [Advanced Syntax Search](../user/search/advanced_search_syntax.md)

## Version Requirements
<!-- Please remember to update ee/lib/system_check/app/elasticsearch_check.rb if this changes -->

| GitLab version | Elasticsearch version |
| -------------- | --------------------- |
| GitLab Enterprise Edition 8.4 - 8.17  | Elasticsearch 2.4 with [Delete By Query Plugin](https://www.elastic.co/guide/en/elasticsearch/plugins/2.4/plugins-delete-by-query.html) installed |
| GitLab Enterprise Edition 9.0 - 11.4   | Elasticsearch 5.1 - 5.5 |
| GitLab Enterprise Edition 11.5+        | Elasticsearch 5.6 - 6.x |

## Installing Elasticsearch

Elasticsearch is _not_ included in the Omnibus packages. You will have to
install it yourself whether you are using the Omnibus package or installed
GitLab from source. Providing detailed information on installing Elasticsearch
is out of the scope of this document.

Once the data is added to the database or repository and [Elasticsearch is
enabled in the admin area](#enabling-elasticsearch) the search index will be
updated automatically. Elasticsearch can be installed on the same machine as
GitLab or on a separate server, or you can use the [Amazon Elasticsearch](http://docs.aws.amazon.com/elasticsearch-service/latest/developerguide/es-gsg.html)
service.

You can follow the steps as described in the [official web site](https://www.elastic.co/guide/en/elasticsearch/reference/current/install-elasticsearch.html "Elasticsearch installation documentation") or
use the packages that are available for your OS.

## Elasticsearch repository indexer (beta)

In order to improve elasticsearch indexing performance, GitLab has made available a [new indexer written in Go](https://gitlab.com/gitlab-org/gitlab-elasticsearch-indexer).
This will replace the included Ruby indexer in the future but should be considered beta software for now, so there may be some bugs.

If you would like to use it, please follow the instructions below.

### Installation

First, we need to install some dependencies, then we'll build and install
the indexer itself.

#### Dependencies

This project relies on [ICU](http://site.icu-project.org/) for text encoding,
therefore we need to ensure the development packages for your platform are
installed before running `make`.

##### Debian / Ubuntu

To install on Debian or Ubuntu, run:

```sh
sudo apt install libicu-dev
```

##### CentOS / RHEL

To install on CentOS or RHEL, run:

```sh
sudo yum install libicu-devel
```

##### Mac OSX

To install on macOS, run:

```sh
brew install icu4c
export PKG_CONFIG_PATH="/usr/local/opt/icu4c/lib/pkgconfig:$PKG_CONFIG_PATH"
```

#### Building and installing

To build and install the indexer, run:

```sh
git clone https://gitlab.com/gitlab-org/gitlab-elasticsearch-indexer.git
cd gitlab-elasticsearch-indexer
make
sudo make install
```

The `gitlab-elasticsearch-indexer` will be installed to `/usr/local/bin`.

You can change the installation path with the `PREFIX` env variable.
Please remember to pass the `-E` flag to `sudo` if you do so.

Example:

```sh
PREFIX=/usr sudo -E make install
```

Once installed, enable it under your instance's elasticsearch settings explained [below](#enabling-elasticsearch).

## System Requirements

Elasticsearch requires additional resources in excess of those documented in the
[GitLab system requirements](../install/requirements.md). These will vary by
installation size, but you should ensure **at least** an additional **8 GiB of RAM**
for each Elasticsearch node, per the [official guidelines](https://www.elastic.co/guide/en/elasticsearch/guide/current/hardware.html).

Keep in mind, this is the **minimum requirements** as per Elasticsearch. For
production instances, they recommend considerably more resources.

Storage requirements also vary based on the installation side, but as a rule of
thumb, you should allocate the total size of your production database, **plus**
two-thirds of the total size of your git repositories. Efforts to reduce this
total are being tracked in this epic: [gitlab-org&153](https://gitlab.com/groups/gitlab-org/-/epics/153).

## Enabling Elasticsearch

In order to enable Elasticsearch, you need to have admin access. Go to
**Admin > Settings > Integrations** and find the "Elasticsearch" section.

The following Elasticsearch settings are available:

| Parameter                           | Description |
| ---------                           | ----------- |
| `Elasticsearch indexing`            | Enables/disables Elasticsearch indexing. You may want to enable indexing but disable search in order to give the index time to be fully completed, for example. Also, keep in mind that this option doesn't have any impact on existing data, this only enables/disables background indexer which tracks data changes. So by enabling this you will not get your existing data indexed, use special rake task for that as explained in [Adding GitLab's data to the Elasticsearch index](#adding-gitlabs-data-to-the-elasticsearch-index). |
| `Use the new repository indexer (beta)` | Perform repository indexing using [GitLab Elasticsearch Indexer](https://gitlab.com/gitlab-org/gitlab-elasticsearch-indexer). |
| `Search with Elasticsearch enabled` | Enables/disables using Elasticsearch in search. |
| `URL`                              | The URL to use for connecting to Elasticsearch. Use a comma-separated list to support clustering (e.g., "http://host1, https://host2:9200"). If your Elasticsearch instance is password protected, pass the `username:password` in the URL (e.g., `http://<username>:<password>@<elastic_host>:9200/`). |
| `Number of Elasticsearch shards` | Elasticsearch indexes are split into multiple shards for performance reasons. In general, larger indexes need to have more shards. Changes to this value do not take effect until the index is recreated. You can read more about tradeoffs in the [Elasticsearch documentation](https://www.elastic.co/guide/en/elasticsearch/reference/current/indices-create-index.html#create-index-settings) |
| `Number of Elasticsearch replicas` | Each Elasticsearch shard can have a number of replicas. These are a complete copy of the shard, and can provide increased query performance or resilience against hardware failure. Increasing this value will greatly increase total disk space required by the index. |
| `Limit namespaces and projects that can be indexed` | Enabling this will allow you to select namespaces and projects to index. All other namespaces and projects will use database search instead. Please note that if you enable this option but do not select any namespaces or projects, none will be indexed. [Read more below](#limiting-namespaces-and-projects).
| `Using AWS hosted Elasticsearch with IAM credentials` | Sign your Elasticsearch requests using [AWS IAM authorization](http://docs.aws.amazon.com/IAM/latest/UserGuide/id_credentials_access-keys.html) or [AWS EC2 Instance Profile Credentials](http://docs.aws.amazon.com/codedeploy/latest/userguide/getting-started-create-iam-instance-profile.html#getting-started-create-iam-instance-profile-cli). The policies must be configured to allow `es:*` actions. |
| `AWS Region` | The AWS region your Elasticsearch service is located in. |
| `AWS Access Key` | The AWS access key. |
| `AWS Secret Access Key` | The AWS secret access key. |

### Limiting namespaces and projects

If you select `Limit namespaces and projects that can be indexed`, more options will become available
![limit namespaces and projects options](img/limit_namespaces_projects_options.png)

You can select namespaces and projects to index exclusively. Please note that if the namespace is a group it will include
any sub-groups and projects belonging to those sub-groups to be indexed as well.

You can filter the selection dropdown by writing part of the namespace or project name you're interested in.
![limit namespace filter](img/limit_namespace_filter.png)

NOTE: **Note**:
If no namespaces or projects are selected, no Elasticsearch indexing will take place.

CAUTION: **Warning**:
If you have already indexed your instance, you will have to regenerate the index in order to delete all existing data
for filtering to work correctly. To do this run the rake tasks `gitlab:elastic:create_empty_index` and
`gitlab:elastic:clear_index_status` Afterwards, removing a namespace or a projeect from the list will delete the data
from the Elasticsearch index as expected.

## Disabling Elasticsearch

To disable the Elasticsearch integration:

1. Navigate to the **Admin > Settings > Integrations**
1. Find the 'Elasticsearch' section and uncheck 'Search with Elasticsearch enabled'
   and 'Elasticsearch indexing'
1. Click **Save** for the changes to take effect
1. [Optional] Delete the existing index by running the command `sudo gitlab-rake gitlab:elastic:delete_index`

## Adding GitLab's data to the Elasticsearch index

### Indexing small instances (database size less than 500 MiB, size of repos less than 5 GiB)

Configure Elasticsearch's host and port in **Admin > Settings**. Then index the data using one of the following commands:

```sh
# Omnibus installations
sudo gitlab-rake gitlab:elastic:index

# Installations from source
bundle exec rake gitlab:elastic:index RAILS_ENV=production
```

After it completes the indexing process, [enable Elasticsearch searching](elasticsearch.md#enabling-elasticsearch).

### Indexing large instances

WARNING: **Warning**:
Performing asynchronous indexing, as this will describe, will generate a lot of sidekiq jobs.
Make sure to prepare for this task by either [Horizontally Scaling](../administration/high_availability/README.md#basic-scaling)
or creating [extra sidekiq processes](../administration/operations/extra_sidekiq_processes.md)

NOTE: **Note**:
After indexing the repositories asynchronously, you **MUST** index the database to be able to search.

Configure Elasticsearch's host and port in **Admin > Settings > Integrations**. Then create empty indexes using one of the following commands:

```sh
# Omnibus installations
sudo gitlab-rake gitlab:elastic:create_empty_index

# Installations from source
bundle exec rake gitlab:elastic:create_empty_index RAILS_ENV=production
```

Indexing large Git repositories can take a while. To speed up the process, you
can temporarily disable auto-refreshing and replicating. In our experience, you can expect a 20%
decrease in indexing time. We'll enable them when indexing is done. This step is optional!

```bash
curl --request PUT localhost:9200/gitlab-production/_settings --data '{
    "index" : {
        "refresh_interval" : "-1",
        "number_of_replicas" : 0
    } }'
```

Then enable Elasticsearch indexing and run repository indexing tasks:

```sh
# Omnibus installations
sudo gitlab-rake gitlab:elastic:index_repositories_async

# Installations from source
bundle exec rake gitlab:elastic:index_repositories_async RAILS_ENV=production
```

This enqueues a number of Sidekiq jobs to index your existing repositories.
You can view the jobs in the admin panel (they are placed in the `elastic_batch_project_indexer`)
queue), or you can query indexing status using a rake task:

```sh
# Omnibus installations
sudo gitlab-rake gitlab:elastic:index_repositories_status

# Installations from source
bundle exec rake gitlab:elastic:index_repositories_status RAILS_ENV=production

Indexing is 65.55% complete (6555/10000 projects)
```

By default, one job is created for every 300 projects. For large numbers of
projects, you may wish to increase the batch size, by setting the `BATCH`
environment variable.

You can also run the initial indexing synchronously - this is most useful if
you have a small number of projects or need finer-grained control over indexing
than Sidekiq permits:

```sh
# Omnibus installations
sudo gitlab-rake gitlab:elastic:index_repositories

# Installations from source
bundle exec rake gitlab:elastic:index_repositories RAILS_ENV=production
```

It might take a while depending on how big your Git repositories are.

If you want to run several tasks in parallel (probably in separate terminal
windows) you can provide the `ID_FROM` and `ID_TO` parameters:

```sh
# Omnibus installations
sudo gitlab-rake gitlab:elastic:index_repositories ID_FROM=1001 ID_TO=2000

# Installations from source
bundle exec rake gitlab:elastic:index_repositories ID_FROM=1001 ID_TO=2000 RAILS_ENV=production
```

Where `ID_FROM` and `ID_TO` are project IDs. Both parameters are optional.
As an example, if you have 3,000 repositories and you want to run three separate indexing tasks, you might run:

```sh
# Omnibus installations
sudo gitlab-rake gitlab:elastic:index_repositories ID_TO=1000
sudo gitlab-rake gitlab:elastic:index_repositories ID_FROM=1001 ID_TO=2000
sudo gitlab-rake gitlab:elastic:index_repositories ID_FROM=2001

# Installations from source
bundle exec rake gitlab:elastic:index_repositories RAILS_ENV=production ID_TO=1000
bundle exec rake gitlab:elastic:index_repositories RAILS_ENV=production ID_FROM=1001 ID_TO=2000
bundle exec rake gitlab:elastic:index_repositories RAILS_ENV=production ID_FROM=2001
```

Sometimes your repository index process `gitlab:elastic:index_repositories` or
`gitlab:elastic:index_repositories_async` can get interrupted. This may happen
for many reasons, but it's always safe to run the indexing job again - it will
skip those repositories that have already been indexed.

As the indexer stores the last commit SHA of every indexed repository in the
database, you can run the indexer with the special parameter `UPDATE_INDEX` and
it will check every project repository again to make sure that every commit in
that repository is indexed, it can be useful in case if your index is outdated:

```sh
# Omnibus installations
sudo gitlab-rake gitlab:elastic:index_repositories UPDATE_INDEX=true ID_TO=1000

# Installations from source
bundle exec rake gitlab:elastic:index_repositories UPDATE_INDEX=true ID_TO=1000 RAILS_ENV=production
```

You can also use the `gitlab:elastic:clear_index_status` Rake task to force the
indexer to "forget" all progress, so retrying the indexing process from the
start.

To index all wikis:

```sh
# Omnibus installations
sudo gitlab-rake gitlab:elastic:index_wikis

# Installations from source
bundle exec rake gitlab:elastic:index_wikis RAILS_ENV=production
```

The wiki indexer also supports the `ID_FROM` and `ID_TO` parameters if you want
to limit a project set.

Index all database entities (Keep in mind it can take a while, so consider using `screen` or `tmux`):

```sh
# Omnibus installations
sudo gitlab-rake gitlab:elastic:index_database

# Installations from source
bundle exec rake gitlab:elastic:index_database RAILS_ENV=production
```

Enable replication and refreshing again after indexing (only if you previously disabled it):

```bash
curl --request PUT localhost:9200/gitlab-production/_settings --data '{
    "index" : {
        "number_of_replicas" : 1,
        "refresh_interval" : "1s"
    } }'
```

A force merge should be called after enabling the refreshing above.

For Elasticsearch 6.x, before proceeding with the force merge, the index should be in read-only mode:

```bash
curl --request PUT localhost:9200/gitlab-production/_settings --data '{
  "settings": {
    "index.blocks.write": true 
  } }'
```

Then, initiate the force merge:

```bash
curl --request POST 'http://localhost:9200/gitlab-production/_forcemerge?max_num_segments=5'
```

After this, if your index is in read-only, switch back to read-write:

```bash
curl --request PUT localhost:9200/gitlab-production/_settings --data '{
  "settings": {
    "index.blocks.write": false 
  } }'
```

Enable Elasticsearch search in **Admin > Settings > Integrations**. That's it. Enjoy it!

## GitLab Elasticsearch Rake Tasks

There are several rake tasks available to you via the command line:

- [sudo gitlab-rake gitlab:elastic:index](https://gitlab.com/gitlab-org/gitlab-ee/blob/master/ee/lib/tasks/gitlab/elastic.rake)
  - This is a wrapper task. It does the following:
    - `sudo gitlab-rake gitlab:elastic:create_empty_index`
    - `sudo gitlab-rake gitlab:elastic:clear_index_status`
    - `sudo gitlab-rake gitlab:elastic:index_wikis`
    - `sudo gitlab-rake gitlab:elastic:index_database`
    - `sudo gitlab-rake gitlab:elastic:index_repositories`
- [sudo gitlab-rake gitlab:elastic:index_repositories_async](https://gitlab.com/gitlab-org/gitlab-ee/blob/master/ee/lib/tasks/gitlab/elastic.rake)
  - This iterates over all projects and places them in batches. It then sends these batches to the background via sidekiq jobs to be indexed.
- [sudo gitlab-rake gitlab:elastic:index_repositories_status](https://gitlab.com/gitlab-org/gitlab-ee/blob/master/ee/lib/tasks/gitlab/elastic.rake)
  - This determines the overall status of the indexing. It is done by counting the total number of indexed projects, dividing by a count of the total number of projects, then multiplying by 100.
- [sudo gitlab-rake gitlab:elastic:index_repositories](https://gitlab.com/gitlab-org/gitlab-ee/blob/master/ee/lib/tasks/gitlab/elastic.rake)
  - This iterates over all projects and places them in batches. It then performs indexing on said batches synchronously.
- [sudo gitlab-rake gitlab:elastic:index_wikis](https://gitlab.com/gitlab-org/gitlab-ee/blob/master/ee/lib/tasks/gitlab/elastic.rake)
  - Iterates over every project, determines if said project contains wiki data, and then indexes the blobs (content) of said wiki data.
- [sudo gitlab-rake gitlab:elastic:index_database](https://gitlab.com/gitlab-org/gitlab-ee/blob/master/ee/lib/tasks/gitlab/elastic.rake)
  - This is a [rake multitask](https://www.rubydoc.info/github/ruby/rake/Rake/MultiTask). It does the following:
    - `sudo gitlab-rake gitlab:elastic:index_projects`
    - `sudo gitlab-rake gitlab:elastic:index_issues`
    - `sudo gitlab-rake gitlab:elastic:index_merge_requests`
    - `sudo gitlab-rake gitlab:elastic:index_snippets`
    - `sudo gitlab-rake gitlab:elastic:index_notes`
    - `sudo gitlab-rake gitlab:elastic:index_milestones`
- [sudo gitlab-rake gitlab:elastic:create_empty_index](https://gitlab.com/gitlab-org/gitlab-ee/blob/master/ee/lib/tasks/gitlab/elastic.rake)
  - This generates an empty index on the Elasticsearch side.
- [sudo gitlab-rake gitlab:elastic:clear_index_status](https://gitlab.com/gitlab-org/gitlab-ee/blob/master/ee/lib/tasks/gitlab/elastic.rake)
  - This deletes all instances of IndexStatus for all projects.
- [sudo gitlab-rake gitlab:elastic:delete_index](https://gitlab.com/gitlab-org/gitlab-ee/blob/master/ee/lib/tasks/gitlab/elastic.rake)
  - This removes the GitLab index on the Elasticsearch instance.
- [sudo gitlab-rake gitlab:elastic:recreate_index](https://gitlab.com/gitlab-org/gitlab-ee/blob/master/ee/lib/tasks/gitlab/elastic.rake)
  - Does the same thing as `sudo gitlab-rake gitlab:elastic:create_empty_index`
- [sudo gitlab-rake gitlab:elastic:add_feature_visibility_levels_to_project](https://gitlab.com/gitlab-org/gitlab-ee/blob/master/ee/lib/tasks/gitlab/elastic.rake)
  - Adds visibility information to the indices for projects.
- [sudo gitlab-rake gitlab:elastic:index_projects](https://gitlab.com/gitlab-org/gitlab-ee/blob/master/ee/lib/tasks/gitlab/elastic.rake)
  - Performs an Elasticsearch import that indexes projects data.
- [sudo gitlab-rake gitlab:elastic:index_issues](https://gitlab.com/gitlab-org/gitlab-ee/blob/master/ee/lib/tasks/gitlab/elastic.rake)
  - Performs an Elasticsearch import that indexes issues data.
- [sudo gitlab-rake gitlab:elastic:index_merge_requests](https://gitlab.com/gitlab-org/gitlab-ee/blob/master/ee/lib/tasks/gitlab/elastic.rake)
  - Performs an Elasticsearch import that indexes merge requests data.
- [sudo gitlab-rake gitlab:elastic:index_snippets](https://gitlab.com/gitlab-org/gitlab-ee/blob/master/ee/lib/tasks/gitlab/elastic.rake)
  - Performs an Elasticsearch import that indexes the snippets data.
- [sudo gitlab-rake gitlab:elastic:index_notes](https://gitlab.com/gitlab-org/gitlab-ee/blob/master/ee/lib/tasks/gitlab/elastic.rake)
  - Performs an Elasticsearch import that indexes the notes data.
- [sudo gitlab-rake gitlab:elastic:index_milestones](https://gitlab.com/gitlab-org/gitlab-ee/blob/master/ee/lib/tasks/gitlab/elastic.rake)
  - Performs an Elasticsearch import that indexes the milestones data.

### Environment Variables

In addition to the rake tasks, there are some environment variables that can be used to modify the process:

| Environment Variable | Data Type | What it does                                                                 |
| -------------------- |:---------:| ---------------------------------------------------------------------------- |
| `BATCH`              | Integer   | Modifies the size of the indexing batch (default 300 projects).              |
| `UPDATE_INDEX`       | Boolean   | Tells the indexer to overwrite any existing index data (true/false).         |
| `ID_TO`              | Integer   | Tells the indexer to only index projects less than or equal to the value.    |
| `ID_FROM`            | Integer   | Tells the indexer to only index projects greater than or equal to the value. |

### Batching

The ability to apply batching makes the indexer run more efficiently. The default
size of a batch is 300 projects, which may or may not be ideal for your setup.
Depending on the resources available to your GitLab instance (sidekiq) and your
Elasticsearch instance (RAM, CPU), you may be able to increase or decrease the
batch size for more efficiency.

- The larger the batch size is, the less sidekiq jobs and indexing requests get created.
- The larger the batch size is, the more time and RAM it takes to process.
- The smaller the batch size, the more sidekiq jobs, and indexing requests get created.
- The smaller the batch size, the more CPU gets utilized.

Finding the ideal size can be tricky, and will vary from GitLab instance to GitLab instance.
Generally speaking, if the default is not ideal for you, try reducing it to somewhere in
the 50-150 range (for bigger sized repos) or 450-600 range (for many small-sized repos).

Example use:

```sh
sudo gitlab-rake gitlab:elastic:index_repositories_async BATCH=50
```

### Indexing a specific project

Because the `ID_TO` and `ID_FROM` environment variables use the `or equal to` comparison, you can index only one project by using both these variables with the same project ID number:

```sh
root@git:~# sudo gitlab-rake gitlab:elastic:index_repositories ID_TO=5 ID_FROM=5
Indexing project repositories...I, [2019-03-04T21:27:03.083410 #3384]  INFO -- : Indexing GitLab User / test (ID=33)...
I, [2019-03-04T21:27:05.215266 #3384]  INFO -- : Indexing GitLab User / test (ID=33) is done!
```

## Elasticsearch Index Scopes

When performing a search, the GitLab index will use the following scopes:

| Scope Name       | What it searches       |
| ---------------- | ---------------------- |
| `commits`        | Commit data            |
| `projects`       | Project data (default) |
| `blobs`          | Code                   |
| `issues`         | Issue data             |
| `merge_requests` | Merge Request data     |
| `milestones`     | Milestone data         |
| `notes`          | Note data              |
| `snippets`       | Snippet data           |
| `wiki_blobs`     | Wiki contents          |

## Tuning

### Deleted documents

Whenever a change or deletion is made to an indexed GitLab object (a merge request description is changed, a file is deleted from the master branch in a repository, a project is deleted, etc), a document in the index is deleted.  However, since these are "soft" deletes, the overall number of "deleted documents", and therefore wasted space, increases.  Elasticsearch does intelligent merging of segments in order to remove these deleted documents.  However, depending on the amount and type of activity in your GitLab installation, it's possible to see as much as 50% wasted space in the index.

In general, we recommend simply letting Elasticseach merge and reclaim space automatically, with the default settings.  From [Lucene's Handling of Deleted Documents](https://www.elastic.co/blog/lucenes-handling-of-deleted-documents "Lucene's Handling of Deleted Documents"), _"Overall, besides perhaps decreasing the maximum segment size, it is best to leave Lucene's defaults as-is and not fret too much about when deletes are reclaimed."_

However, some larger installations may wish to tune the merge policy settings: 

- Consider reducing the `index.merge.policy.max_merged_segment` size from the default 5 GB to maybe 2 GB or 3 GB.  Merging only happens when a segment has at least 50% deletions.  Smaller segment sizes will allow merging to happen more frequently.

  ```bash
  curl --request PUT http://localhost:9200/gitlab-production/_settings --data '{
    "index" : {
      "merge.policy.max_merged_segment": "2gb"
    }
  }'
  ```

- You can also adjust `index.merge.policy.reclaim_deletes_weight`, which controls how aggressively deletions are targeted.  But this can lead to costly merge decisions, so we recommend not changing this unless you understand the tradeoffs.

  ```bash
  curl --request PUT http://localhost:9200/gitlab-production/_settings --data '{
    "index" : {
      "merge.policy.reclaim_deletes_weight": "3.0"
    }
  }'
  ```

- Do not do a [force merge](https://www.elastic.co/guide/en/elasticsearch/reference/current/indices-forcemerge.html "Force Merge") to remove deleted documents.  A warning in the [documentation](https://www.elastic.co/guide/en/elasticsearch/reference/current/indices-forcemerge.html "Force Merge") states that this can lead to very large segments that may never get reclaimed, and can also cause significant performance or availability issues.

## Troubleshooting

Here are some common pitfalls and how to overcome them:

- **How can I verify my GitLab instance is using Elasticsearch?**

    The easiest method is via the rails console (`sudo gitlab-rails console`) by running the following:
    
    ```ruby
    u = User.find_by_username('your-username')
    s = SearchService.new(u, {:search => 'search_term'})
    pp s.search_objects.class.name
    ```
    
    If you see `Elasticsearch::Model::Response::Records`, you are using Elasticsearch. 

- **I updated GitLab and now I can't find anything**

    We continuously make updates to our indexing strategies and aim to support
    newer versions of Elasticsearch. When indexing changes are made, it may
    be necessary for you to [reindex](#adding-gitlabs-data-to-the-elasticsearch-index) after updating GitLab.

- **I indexed all the repositories but I can't find anything**

    Make sure you indexed all the database data [as stated above](#adding-gitlabs-data-to-the-elasticsearch-index).
    
    Beyond that, check via the [Elasticsearch Search API](https://www.elastic.co/guide/en/elasticsearch/reference/current/search-search.html) to see if the data shows up on the Elasticsearch side.
    
    If it shows up via the [Elasticsearch Search API](https://www.elastic.co/guide/en/elasticsearch/reference/current/search-search.html), check that it shows up via the rails console (`sudo gitlab-rails console`):
    
    ```ruby
    u = User.find_by_username('your-username')
    s = SearchService.new(u, {:search => 'search_term', :scope => ‘blobs’})
    pp s.search_objects.to_a
    ```
    
    See [Elasticsearch Index Scopes](elasticsearch.md#elasticsearch-index-scopes) for more information on searching for specific types of data.

- **I indexed all the repositories but then switched elastic search servers and now I can't find anything**

    You will need to re-run all the rake tasks to re-index the database, repositories, and wikis.
    
- **The indexing process is taking a very long time**

    The more data present in your GitLab instance, the longer the indexing process takes. You might want to try adjusting the BATCH sizes for asynchronous indexing to help speed up the process.

- **No new data is added to the Elasticsearch index when I push code**

    When performing the initial indexing of blobs, we lock all projects until the project finishes indexing. It could
    happen that an error during the process causes one or multiple projects to remain locked. In order to unlock them,
    run the `gitlab:elastic:clear_locked_projects` rake task.

- **"Can't specify parent if no parent field has been configured"**

    If you enabled Elasticsearch before GitLab 8.12 and have not rebuilt indexes you will get
    exception in lots of different cases:

    ```text
    Elasticsearch::Transport::Transport::Errors::BadRequest([400] {
        "error": {
            "root_cause": [{
                "type": "illegal_argument_exception",
                "reason": "Can't specify parent if no parent field has been configured"
            }],
            "type": "illegal_argument_exception",
            "reason": "Can't specify parent if no parent field has been configured"
        },
        "status": 400
    }):
    ```

    This is because we changed the index mapping in GitLab 8.12 and the old indexes should be removed and built from scratch again,
    see details in the [8-11-to-8-12 update guide](https://gitlab.com/gitlab-org/gitlab-ee/blob/master/doc/update/8.11-to-8.12.md#11-elasticsearch-index-update-if-you-currently-use-elasticsearch).

- Exception `Elasticsearch::Transport::Transport::Errors::BadRequest`

    If you have this exception (just like in the case above but the actual message is different) please check if you have the correct Elasticsearch version and you met the other [requirements](#system-requirements).
    There is also an easy way to check it automatically with `sudo gitlab-rake gitlab:check` command.

- Exception `Elasticsearch::Transport::Transport::Errors::RequestEntityTooLarge`

    ```text
    [413] {"Message":"Request size exceeded 10485760 bytes"}
    ```

    This exception is seen when your Elasticsearch cluster is configured to reject
    requests above a certain size (10MiB in this case). This corresponds to the
    `http.max_content_length` setting in `elasticsearch.yml`. Increase it to a
    larger size and restart your Elasticsearch cluster.

    AWS has [fixed limits](http://docs.aws.amazon.com/elasticsearch-service/latest/developerguide/aes-limits.html)
    for this setting ("Maximum Size of HTTP Request Payloads"), based on the size of
    the underlying instance.

