Docs Menu
Docs Home
/ /
Atlas Kubernetes Operator
Docs Home
/
Management
/
Atlas Kubernetes Operator
/
Atlas Kubernetes Operator
Docs Home
/
Management
/
Atlas Kubernetes Operator
/
Atlas Kubernetes Operator

Create an Atlas Search Index with Kubernetes

Atlas Kubernetes Operator supports Atlas Search indexes on Atlas clusters. To learn more see Manage MongoDB Search Indexes.

Prerequisites

  • Running Kubernetes cluster with Atlas Kubernetes Operator deployed.

  • MongoDB version 4.2 or higher on any cluster tier.

    Note

    You can't create more than:

    • 3 indexes on M0 clusters.

    • 5 indexes on M2 clusters.

    • 10 indexes on M5 clusters.

    There are no limits to the number of indexes you can create on M10+ clusters.

  • Collection to create the Atlas Search index for.

Required Access

You must have one of the following roles to create Atlas Search indexes:

You must have at least the readWriteAnyDatabase role or readWrite access to the database where you want to create the indexes. To learn more, see Roles and Privileges Overview or Built-in Roles and Inherited Privileges.

Procedure

1

Configure an AtlasSearchIndexConfig Custom Resource.

The following example shows an AtlasSearchIndexConfig custom resource specification configured for the lucene.standard analyzer method.

Note

Multiple atlasDeployment custom resources can reference the same atlasSearchIndexConfiguration custom resource.

Example:

Run the following command:

cat <<EOF | kubectl apply -f -
apiVersion: atlas.mongodb.com/v1
kind: AtlasSearchIndexConfig
metadata:
  name: atlassearchindexconfig-sample
  namespace: mongodb-atlas-system
spec:
  analyzer: lucene.standard
  searchAnalyzer: lucene.standard
EOF

To learn more about the available parameters, see AtlasSearchIndexConfig Custom Resource.

2

Configure the AtlasDeployment Custom Resource.

Configure the spec.deploymentSpec.searchIndexes object.

The following parameters apply to this object:

Parameter
Description

DBName

Human-readable label that identifies the existing database that contains the collection with one or more Atlas Search indexes.

IMPORTANT: The database that you specify must already exist. If you don't have an existing database, create one.

CollectionName

Human-readable label that identifies the collection that contains one or more Atlas Search indexes.

Type

Type of the index. Atlas accepts the following values:

  • search

  • vectorSearch

search.searchIndexConfigurationRef.name

Name that references the AtlasSearchIndexConfig Custom Resource.

search.searchIndexConfigurationRef.namespace

Namespace that contains the AtlasSearchIndexConfig Custom Resource.

To learn more about the available parameters, see AtlasDeployment Custom Resource.

Example:

Run the following command.

cat <<EOF | kubectl apply -f -
apiVersion: atlas.mongodb.com/v1
kind: AtlasDeployment
metadata:
  name: my-atlas-cluster
  namespace: mongodb-atlas-system
spec:
  projectRef:
    name: my-project
  deploymentSpec:
    backupEnabled: true
    clusterType: REPLICASET
    name: Test-cluster-M10
    replicationSpecs:
    - regionConfigs:
      - backingProviderName: AWS
        electableSpecs:
          instanceSize: M10
          nodeCount: 3
        priority: 7
        providerName: AWS
        regionName: US_EAST_1
      zoneName: Zone 1
    searchIndexes:
    - DBName: sample_airbnb
      collectionName: listingsAndReviews
      name: my-index
      search:
        mappings:
          dynamic: true
        searchConfigurationRef:
          name: atlassearchindexconfig-sample
          namespace: mongodb-atlas-system
      type: search
    terminationProtectionEnabled: false
EOF

Back

Data Federation

Next

Atlas Vector Search

On this page