Provisioning Cluster Resources
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Provisioning cluster resources is managed at the collection or bucket level, depending upon the service affected. Common use cases are outlined here, less common use cases are covered in the API docs.
The primary means for managing clusters is through the Couchbase Web UI which provides an easy to use interface for adding, removing, monitoring and modifying buckets. In some instances you may wish to have a programmatic interface. For example, if you wish to manage a cluster from a setup script, or if you are setting up buckets in test scaffolding.
The Rust SDK also comes with some convenience functionality for common Couchbase management requests.
Bucket Management
The BucketManager
interface may be used to create and delete buckets from the Couchbase cluster.
BucketSettings
is used for creating and updating buckets.
BucketSettings
is also used for exposing information about existing buckets.
Note that any property that is not explicitly set when building the bucket settings will use the default value. In the case of the update, this is not necessarily the currently configured value, so you should be careful to set all properties to their correct expected values when updating an existing bucket configuration. |
Here is the list of parameters available for BucketSettings
.
The "Updatable" column indicates whether the parameter may only be specified when creating a bucket, or whether it may be updated after creation.
Name | Type | Description | Updatable |
---|---|---|---|
|
|
The name of the bucket, required for creation. |
false |
|
|
How much memory should each node use for the bucket, required for creation. |
true |
|
|
Enables flushing to be performed on this bucket (see the Flushing Buckets section below). |
true |
|
|
The number of replicas to use for the bucket. |
true |
|
|
The type of the eviction to use for the bucket, defaults to |
true (note: changing will cause the bucket to restart causing temporary inaccessibility) |
|
|
The default maximum time-to-live to apply to documents in the bucket. (note: This option is only available for Couchbase and Ephemeral buckets in Couchbase Enterprise Edition.) |
true |
|
|
The compression mode to apply to documents in the bucket. (note: This option is only available for Couchbase and Ephemeral buckets in Couchbase Enterprise Edition.) |
true |
|
|
The durability level to be assigned to the bucket. |
true |
|
|
The conflict resolution type to apply to conflicts on the bucket, defaults to |
false |
|
|
Whether or not to replicate indexes. |
false |
|
|
The type of the bucket, required for creation. |
false |
|
|
The storage backend to be assigned to and used by the bucket. |
true (note: additional steps required to migrate a bucket’s storage backend. See Migrate a Bucket’s Storage Backend for more information) |
|
|
The number of vBuckets for this bucket. |
false |
|
|
Whether a change history is made for the bucket. This parameter is ignored unless the storageBackend is set to |
true |
|
|
Whether a change history is made for the bucket. This parameter is ignored unless the storageBackend is set to |
true |
|
|
Specifies the maximum size, in bytes, of the change history that is written to disk for all collections in this bucket when the value of history_retention_collection_fault is true. |
true |
|
|
Specifies the maximum number of seconds to be covered by the change history that is written to disk for all collections in this bucket when the value of history_retention_collection_fault is true. |
true |
The following example creates a "hello" bucket:
let bucket_manager = cluster.buckets();
let bucket = BucketSettings::new("hello")
.flush_enabled(false)
.replica_indexes(false)
.num_replicas(1)
.bucket_type(BucketType::COUCHBASE)
.conflict_resolution_type(ConflictResolutionType::SEQUENCE_NUMBER);
match bucket_manager.create_bucket(bucket, None).await {
Ok(_) => println!("Bucket created successfully"),
Err(e) => println!("Error: {e}"),
}
We can now get this bucket and update it to enable Flush:
match bucket_manager.get_bucket("hello", None).await {
Ok(bucket) => {
let bucket = bucket.flush_enabled(true);
match bucket_manager.update_bucket(bucket, None).await {
Ok(_) => println!("Bucket updated successfully"),
Err(e) => println!("Error: {e}"),
}
}
Err(e) => println!("Error: {e}"),
}
match bucket_manager.flush_bucket("hello", None).await {
Ok(_) => println!("Bucket flushed successfully"),
Err(e) => match e.kind() {
couchbase::error::ErrorKind::BucketNotFlushable => {
println!("Flushing is not enabled on this bucket")
}
_ => {
println!("Error: {e}")
}
},
}
Once you no longer need to use the bucket, you can remove it:
match bucket_manager.drop_bucket("hello", None).await {
Ok(_) => println!("Bucket dropped successfully"),
Err(e) => println!("Error: {e}"),
}
Flushing Buckets
When a bucket is flushed, all content is removed. Because this operation is potentially dangerous it is disabled by default for each bucket. Bucket flushing may be useful in test environments where it becomes a simpler alternative to removing and creating a test bucket. You may enable bucket flushing on a per-bucket basis using the Couchbase Web Console or when creating a bucket.
You can flush a bucket in the SDK by using the Flush
method:
match bucket_manager.get_bucket("hello", None).await {
Ok(bucket) => {
let bucket = bucket.flush_enabled(true);
match bucket_manager.update_bucket(bucket, None).await {
Ok(_) => println!("Bucket updated successfully"),
Err(e) => println!("Error: {e}"),
}
}
Err(e) => println!("Error: {e}"),
}
match bucket_manager.flush_bucket("hello", None).await {
Ok(_) => println!("Bucket flushed successfully"),
Err(e) => match e.kind() {
couchbase::error::ErrorKind::BucketNotFlushable => {
println!("Flushing is not enabled on this bucket")
}
_ => {
println!("Error: {e}")
}
},
}
Collection Management
The CollectionManager interface may be used to create and delete scopes and collections from the Couchbase cluster.
It is instantiated through the Bucket.collections()
method.
let collection_manager = bucket.collections();
You can create a scope:
match collection_manager.create_scope("my_scope", None).await {
Ok(_) => println!("Scope created successfully"),
Err(e) => match e.kind() {
couchbase::error::ErrorKind::ScopeExists => {
println!("Scope already exists");
}
_ => {
println!("Error: {e}");
}
},
}
You can then create a collection within that scope:
let settings = CreateCollectionSettings::new()
.max_expiry(MaxExpiryValue::InheritFromBucket)
.history(false);
match collection_manager
.create_collection("example-scope", "example_collection", settings, None)
.await
{
Ok(_) => println!("Collection created successfully"),
Err(e) => match e.kind() {
couchbase::error::ErrorKind::ScopeNotFound => {
println!("Scope does not exist");
}
couchbase::error::ErrorKind::CollectionExists => {
println!("Collection already exists");
}
_ => {
println!("Error: {e}");
}
},
}
Finally, you can drop unneeded collections and scopes:
match collection_manager
.drop_collection("example-scope", "example-collection", None)
.await
{
Ok(_) => println!("Collection dropped successfully"),
Err(e) => match e.kind() {
couchbase::error::ErrorKind::ScopeNotFound => {
println!("Scope not found");
}
couchbase::error::ErrorKind::CollectionNotFound => {
println!("Collection not found");
}
_ => {
println!("Error: {e}");
}
},
}
[data-source-url=https://github.com/couchbase/docs-sdk-rust/blob/61f0c078f4f55672d0c5bac012752964ace26ef9/modules/devguide/examples/src/cluster_resources.rs#L129-L139]
match collection_manager.drop_scope("example-scope", None).await {
Ok(_) => println!("Scope dropped successfully"),
Err(e) => match e.kind() {
couchbase::error::ErrorKind::ScopeNotFound => {
println!("Scope not found");
}
_ => {
println!("Error: {e}");
}
},
}
Note that the most minimal permissions to create and drop a Scope or Collection is Manage Scopes along with Data Reader.
You can create users with the appropriate RBAC programmatically:
let user_manager = cluster.users();
let user = User::new(
"scope-admin",
"display-name",
vec![
Role::new("scope_admin").bucket("travel-sample"),
Role::new("data_reader").bucket("travel-sample"),
],
);
match user_manager
.upsert_user(user.password("password"), None)
.await
{
Ok(_) => println!("User created successfully"),
Err(e) => println!("Error: {e}"),
}
Index Management
In general, you will rarely need to work with Index Managers from the SDK.
For those occasions when you do, you will find some of these described in the following section.
QueryIndexManager
The QueryIndexManager
interface contains the means for managing indexes used for queries.
It can be accessed via Collection.query_indexes()
.
let collection = cluster
.bucket("travel-sample")
.scope("tenant_agent_01")
.collection("users");
let query_index_manager = collection.query_indexes();
Applications can use this manager to perform operations such as creating, deleting, and fetching primary or secondary indexes:
-
A Primary index is built from a document’s key and is mostly suited for simple queries.
-
A Secondary index is the most commonly used type, and is suited for complex queries that require filtering on document fields.
To perform query index operations, the provided user must either be an Admin or assigned the Query Manage Index role. See the Roles page for more information. |
The example below shows how to create a simple primary index on the collection, by calling the create_primary_index()
method.
match query_index_manager
.create_primary_index(
CreatePrimaryQueryIndexOptions::new()
.index_name("custom_name")
.ignore_if_exists(true),
)
.await
{
Ok(_) => println!("Primary index created successfully"),
Err(e) => println!("Error: {e}"),
}
When a primary index name is not specified, the SDK will create the index as #primary
by default.
However, if you wish to provide a custom name, you can simply pass an indexName
argument to CreatePrimaryIndexOptions
.
You may have noticed that the example also sets the ignoreIfExists
boolean flag.
When set to true
, this optional argument ensures that an error is not thrown if an index under the same name already exists.
Creating a secondary index follows a similar approach, with some minor differences:
match query_index_manager
.create_index("tenant_agent_01_users_email", vec!["preferred_email".to_string()], None)
.await
{
Ok(_) => println!("Secondary index created successfully"),
Err(e) => match e.kind() {
couchbase::error::ErrorKind::IndexExists => {
println!("Index already exists");
}
_ => {
println!("Error: {e}");
}
},
}
The create_index()
method requires an index name to be provided, along with the fields to create the index on.
Indexes can easily take a long time to build if they contain a lot of documents.
In these situations, it is more ideal to build indexes in the background.
To achieve this we can use the deferred
boolean option, and set it to true
.
match query_index_manager
.create_index(
"tenant_agent_01_users_email",
vec!["preferred_email".to_string()],
CreateQueryIndexOptions::new().deferred(true),
)
.await
{
Ok(_) => println!("Secondary index created successfully"),
Err(e) => match e.kind() {
couchbase::error::ErrorKind::IndexExists => {
println!("Index already exists");
}
_ => {
println!("Error: {e}");
}
},
}
match query_index_manager.build_deferred_indexes(None).await {
Ok(_) => println!("Deferred indexes are being built"),
Err(e) => println!("Error: {e}"),
}
match query_index_manager
.watch_indexes(vec!["tenant_agent_01_users_phone".to_string()], None)
.await
{
Ok(_) => println!("All watched indexes are online"),
Err(e) => println!("Error: {e}"),
}
To delete a query index you can use the drop_index()
or drop_primary_index()
methods.
Which one you use depends on the type of query index you wish to drop from the cluster.
match query_index_manager.drop_primary_index(None).await {
Ok(_) => println!("Primary index dropped successfully"),
Err(e) => println!("Error: {e}"),
}
match query_index_manager
.drop_index("tenant_agent_01_users_email", None)
.await
{
Ok(_) => println!("Secondary index dropped successfully"),
Err(e) => println!("Error: {e}"),
}