Core couchbase API
Cluster
- class couchbase.cluster.Cluster(connstr, *options, **kwargs)
Create a Couchbase Cluster instance.
The cluster instance exposes the operations which are available to be performed against a cluster.
Note
Although creating an instance of
Cluster
is allowed, it is recommended to use the Cluster’s staticCluster.connect()
method. SeeCluster.connect()
for connect for examples.- Parameters:
connstr (str) –
The connection string to use for connecting to the cluster. This is a URI-like string allowing specifying multiple hosts.
The format of the connection string is the scheme (
couchbase
for normal connections,couchbases
for SSL enabled connections); a list of one or more hostnames delimited by commasoptions (
ClusterOptions
) – Global options to set for the cluster. Some operations allow the global options to be overriden by passing in options to the operation.**kwargs (Dict[str, Any]) – keyword arguments that can be used in place or to overrride provided
ClusterOptions
- Raises:
InvalidArgumentException – If no
Authenticator
is provided. Also raised if an invalid ClusterOption is provided.AuthenticationException – If provided
Authenticator
has incorrect credentials.
- static connect(connstr, *options, **kwargs) Cluster
Create a Couchbase Cluster and connect
- Parameters:
connstr (str) –
The connection string to use for connecting to the cluster. This is a URI-like string allowing specifying multiple hosts.
The format of the connection string is the scheme (
couchbase
for normal connections,couchbases
for SSL enabled connections); a list of one or more hostnames delimited by commasoptions (
ClusterOptions
) – Global options to set for the cluster. Some operations allow the global options to be overriden by passing in options to the operation.**kwargs (Dict[str, Any]) – keyword arguments that can be used in place or to overrride provided
ClusterOptions
- Returns:
If successful, a connect Couchbase Cluster instance.
- Return type:
- Raises:
InvalidArgumentException – If no
Authenticator
is provided. Also raised if an invalid ClusterOption is provided.AuthenticationException – If provided
Authenticator
has incorrect credentials.
Examples
Initialize cluster using default options:
from couchbase.auth import PasswordAuthenticator from couchbase.cluster import Cluster from couchbase.options import ClusterOptions auth = PasswordAuthenticator('username', 'password') cluster = Cluster.connect('couchbase://localhost', ClusterOptions(auth))
Connect using SSL:
from couchbase.auth import PasswordAuthenticator from couchbase.cluster import Cluster from couchbase.options import ClusterOptions auth = PasswordAuthenticator('username', 'password', cert_path='/path/to/cert') cluster = Cluster.connect('couchbases://localhost', ClusterOptions(auth))
Initialize cluster using with global timeout options:
from datetime import timedelta from couchbase.auth import PasswordAuthenticator from couchbase.cluster import Cluster from couchbase.options import ClusterOptions, ClusterTimeoutOptions auth = PasswordAuthenticator('username', 'password') timeout_opts = ClusterTimeoutOptions(kv_timeout=timedelta(seconds=10), query_timeout=timedelta(seconds=120)) cluster = Cluster.connect('couchbase://localhost', ClusterOptions(auth, timeout_options=timeout_opts))
- property connected: bool
Indicator on if the cluster has been connected or not.
- Type:
bool
- bucket(bucket_name) Bucket
Creates a Bucket instance to a specific bucket.
See also
- Parameters:
bucket_name (str) – Name of the bucket to reference
- Returns:
A bucket instance
- Return type:
- Raises:
RuntimeError – If called prior to the cluster being connected.
BucketNotFoundException – If provided bucket_name cannot be found.
- cluster_info() ClusterInfoResult
Retrieve the Couchbase cluster information
Note
If using Couchbase Server version < 6.6, a bucket must be opened prior to calling cluster.cluster_info(). If a bucket is not opened a
ServiceUnavailableException
will be raised.- Returns:
Information about the connected cluster.
- Return type:
- Raises:
RuntimeError – If called prior to the cluster being connected.
ServiceUnavailableException – If called prior to connecting to a bucket if using server version < 6.6.
- ping(*opts, **kwargs) PingResult
Performs a ping operation against the cluster.
The ping operation pings the services which are specified (or all services if none are specified). Returns a report which describes the outcome of the ping operations which were performed.
- Parameters:
opts (
PingOptions
) – Optional parameters for this operation.- Returns:
A report which describes the outcome of the ping operations which were performed.
- Return type:
- diagnostics(*opts, **kwargs) DiagnosticsResult
Performs a diagnostic operation against the cluster.
The diagnostic operations returns a report about the current active connections with the cluster. Includes information about remote and local addresses, last activity, and other diagnostics information.
- Parameters:
opts (
DiagnosticsOptions
) – Optional parameters for this operation.- Returns:
A report which describes current active connections with the cluster.
- Return type:
- wait_until_ready(timeout, *opts, **kwargs) None
Wait until the cluster is ready for use.
Check the current connections to see if the desired state has been reached. If not, perform a ping against the specified services. The ping operation will be performed repeatedly with a slight delay in between until the specified timeout has been reached or the cluster is ready for use, whichever comes first.
See also
ServiceType
ClusterState
- Parameters:
timeout (timedelta) – Amount of time to wait for cluster to be ready before a
UnAmbiguousTimeoutException
is raised.opts (
WaitUntilReadyOptions
) – Optional parameters for this operation.**kwargs (Dict[str, Any]) – keyword arguments that can be used in place or to override provided
WaitUntilReadyOptions
- Raises:
UnAmbiguousTimeoutException – If the specified timeout is reached prior to the cluster being ready for use.
Example
Wait until the cluster is ready to use KV and query services:
from couchbase.auth import PasswordAuthenticator from couchbase.cluster import Cluster from couchbase.diagnostics import ServiceType from couchbase.options import WaitUntilReadyOptions auth = PasswordAuthenticator('username', 'password') cluster = Cluster.connect('couchbase://localhost', ClusterOptions(auth)) cluster.wait_until_ready(timedelta(seconds=3), WaitUntilReadyOptions(service_types=[ServiceType.KeyValue, ServiceType.Query]))
- query(statement, *options, **kwargs) QueryResult
Executes a N1QL query against the cluster.
Note
The query is executed lazily in that it is executed once iteration over the
QueryResult
begins.See also
QueryIndexManager
: for how to manage query indexescouchbase.Scope.query()
: For how to execute scope-level queries.
- Parameters:
statement (str) – The N1QL statement to execute.
options (
QueryOptions
) – Optional parameters for the query operation.**kwargs (Dict[str, Any]) – keyword arguments that can be used in place or to override provided
QueryOptions
- Returns:
An instance of a
QueryResult
which provides access to iterate over the query results and access metadata and metrics about the query.- Return type:
Examples
Simple query:
q_res = cluster.query('SELECT * FROM `travel-sample` WHERE country LIKE 'United%' LIMIT 2;') for row in q_res.rows(): print(f'Found row: {row}')
Simple query with positional parameters:
from couchbase.options import QueryOptions # ... other code ... q_str = 'SELECT * FROM `travel-sample` WHERE country LIKE $1 LIMIT $2;' q_res = cluster.query(q_str, QueryOptions(positional_parameters=['United%', 5])) for row in q_res.rows(): print(f'Found row: {row}')
Simple query with named parameters:
from couchbase.options import QueryOptions # ... other code ... q_str = 'SELECT * FROM `travel-sample` WHERE country LIKE $country LIMIT $lim;' q_res = cluster.query(q_str, QueryOptions(named_parameters={'country': 'United%', 'lim':2})) for row in q_res.rows(): print(f'Found row: {row}')
Retrieve metadata and/or metrics from query:
from couchbase.options import QueryOptions # ... other code ... q_str = 'SELECT * FROM `travel-sample` WHERE country LIKE $country LIMIT $lim;' q_res = cluster.query(q_str, QueryOptions(metrics=True)) for row in q_res.rows(): print(f'Found row: {row}') print(f'Query metadata: {q_res.metadata()}') print(f'Query metrics: {q_res.metadata().metrics()}')
- search_query(index, query, *options, **kwargs) SearchResult
Executes an search query against the cluster.
Note
The search query is executed lazily in that it is executed once iteration over the
SearchResult
begins.See also
SearchIndexManager
: for how to manage search indexes.
- Parameters:
index (str) – Name of the search query to use.
query (
SearchQuery
) – Type of search query to perform.options (
SearchOptions
) – Optional parameters for the search query operation.**kwargs (Dict[str, Any]) – keyword arguments that can be used in place or to override provided
SearchOptions
- Returns:
An instance of a
SearchResult
which provides access to iterate over the search query results and access metadata and metrics about the search query.- Return type:
Examples
Note
Be sure to create a search index prior to executing search queries. Also, if an application desires to utilize search row locations, highlighting, etc. make sure the search index is setup appropriately. See Creating Indexes in Couchbase Server docs.
Simple search query:
import couchbase.search as search from couchbase.options import SearchOptions # ... other code ... query = search.TermQuery('home') q_res = cluster.search_query('travel-sample-index', query, SearchOptions(limit=10)) for row in q_res.rows(): print(f'Found row: {row}')
Simple search query with facets:
import couchbase.search as search from couchbase.options import SearchOptions # ... other code ... facet_name = 'activity' facet = search.TermFacet('activity') query = search.TermQuery('home') q_res = cluster.search_query('travel-sample-index', query, SearchOptions(limit=10, facets={facet_name: facet})) for row in q_res.rows(): print(f'Found row: {row}') print(f'facets: {q_res.facets()}')
Simple search query with fields and locations:
import couchbase.search as search from couchbase.options import SearchOptions # ... other code ... search_fields = ['name', 'activity'] query = search.TermQuery('home') q_res = cluster.search_query('travel-sample-index', query, SearchOptions(limit=10, include_locations=True, fields=search_fields)) for row in q_res.rows(): print(f'Found row: {row}') print(f'Fields: {row.fields}') print(f'Locations: {row.locations}')
- search(index, request, *options, **kwargs) SearchResult
Executes an search against the cluster.
Note
The search is executed lazily in that it is executed once iteration over the
SearchResult
begins.See also
SearchIndexManager
: for how to manage search indexes.search()
: for how to execute scope-level search
- Parameters:
index (str) – Name of the search index to use.
request (
SearchRequest
) – Type of search request to perform.options (
SearchOptions
) – Optional parameters for the search query operation.**kwargs (Dict[str, Any]) – keyword arguments that can be used in place or to override provided
SearchOptions
- Returns:
An instance of a
SearchResult
which provides access to iterate over the search query results and access metadata and metrics about the search query.- Return type:
Examples
Note
Be sure to create a search index prior to executing a search. Also, if an application desires to utilize search row locations, highlighting, etc. make sure the search index is setup appropriately. See Creating Indexes in Couchbase Server docs.
Simple search:
import couchbase.search as search from couchbase.options import SearchOptions # ... other code ... request = search.SearchRequest.create(search.TermQuery('home')) q_res = cluster.search('travel-sample-index', request, SearchOptions(limit=10)) for row in q_res.rows(): print(f'Found row: {row}')
Simple vector search:
import couchbase.search as search from couchbase.options import SearchOptions from couchbase.vector_search import VectorQuery, VectorSearch # ... other code ... # NOTE: the vector is expected to be type List[float], set the vector to the appropriate value, this is an example. vector = [-0.014653487130999565, -0.008658270351588726, 0.017129190266132355, -0.015563474968075752] request = search.SearchRequest.create(VectorSearch.from_vector_query(VectorQuery('vector_field', vector))) q_res = cluster.search('travel-sample-vector-index', request, SearchOptions(limit=10)) for row in q_res.rows(): print(f'Found row: {row}')
Combine search and vector search:
import couchbase.search as search from couchbase.options import SearchOptions from couchbase.vector_search import VectorQuery, VectorSearch # ... other code ... # NOTE: the vector is expected to be type List[float], set the vector to the appropriate value, this is an example. vector_search = VectorSearch.from_vector_query(VectorQuery('vector_field', [-0.014653487130999565, -0.008658270351588726, 0.017129190266132355, -0.015563474968075752])) request = search.SearchRequest.create(search.MatchAllQuery()).with_vector_search(vector_search) q_res = cluster.search('travel-sample-vector-index', request, SearchOptions(limit=10)) for row in q_res.rows(): print(f'Found row: {row}')
- analytics_query(statement, *options, **kwargs) AnalyticsResult
Executes an analaytics query against the cluster.
Note
The analytics query is executed lazily in that it is executed once iteration over the
AnalyticsResult
begins.See also
AnalyticsIndexManager
: for how to manage analytics dataverses, datasets, indexes and links.Scope.analytics_query()
: for how to execute scope-level analytics queries
- Parameters:
statement (str) – The analytics SQL++ statement to execute.
options (
AnalyticsOptions
) – Optional parameters for the analytics query operation.**kwargs (Dict[str, Any]) – keyword arguments that can be used in place or to override provided
AnalyticsOptions
- Returns:
An instance of a
AnalyticsResult
which provides access to iterate over the analytics query results and access metadata and metrics about the analytics query.- Return type:
Examples
Note
Be sure to setup the necessary dataverse(s), dataset(s) for your analytics queries. See Analytics Introduction in Couchbase Server docs.
Simple analytics query:
q_str = 'SELECT * FROM `travel-sample` WHERE country LIKE $1 LIMIT $2;' q_res = cluster.analytics_query(q_str) for row in q_res.rows(): print(f'Found row: {row}')
Simple analytics query with positional parameters:
from couchbase.options import AnalyticsOptions # ... other code ... q_str = 'SELECT * FROM `travel-sample` WHERE country LIKE $1 LIMIT $2;' q_res = cluster.analytics_query(q_str, AnalyticsOptions(positional_parameters=['United%', 5])) for row in q_res.rows(): print(f'Found row: {row}')
Simple analytics query with named parameters:
from couchbase.options import AnalyticsOptions # ... other code ... q_str = 'SELECT * FROM `travel-sample` WHERE country LIKE $country LIMIT $lim;' q_res = cluster.analytics_query(q_str, AnalyticsOptions(named_parameters={'country': 'United%', 'lim':2})) for row in q_res.rows(): print(f'Found row: {row}')
Retrieve metadata and/or metrics from analytics query:
q_str = 'SELECT * FROM `travel-sample` WHERE country LIKE $country LIMIT $lim;' q_res = cluster.analytics_query(q_str) for row in q_res.rows(): print(f'Found row: {row}') print(f'Analytics query metadata: {q_res.metadata()}') print(f'Analytics query metrics: {q_res.metadata().metrics()}')
- property transactions: Transactions
A Transactions instance which can be used to perform transactions on this cluster.
- Type:
Transactions
- buckets() BucketManager
Get a
BucketManager
which can be used to manage the buckets of this cluster.- Returns:
A
BucketManager
instance.- Return type:
- users() UserManager
Get a
UserManager
which can be used to manage the users of this cluster.- Returns:
A
UserManager
instance.- Return type:
- query_indexes() QueryIndexManager
Get a
QueryIndexManager
which can be used to manage the query indexes of this cluster.- Returns:
A
QueryIndexManager
instance.- Return type:
- analytics_indexes() AnalyticsIndexManager
Get a
AnalyticsIndexManager
which can be used to manage the analytics dataverses, dataset, indexes and links of this cluster.- Returns:
An
AnalyticsIndexManager
instance.- Return type:
AnalyticsIndexManager
- search_indexes() SearchIndexManager
Get a
SearchIndexManager
which can be used to manage the search indexes of this cluster.- Returns:
A
SearchIndexManager
instance.- Return type:
SearchIndexManager
- eventing_functions() EventingFunctionManager
Get a
EventingFunctionManager
which can be used to manage the eventing functions of this cluster.Note
Eventing function management is an uncommitted API that is unlikely to change, but may still change as final consensus on its behavior has not yet been reached.
- Returns:
An
EventingFunctionManager
instance.- Return type:
EventingFunctionManager
- close()
Shuts down this cluster instance. Cleaning up all resources associated with it.
Warning
Use of this method is almost always unnecessary. Cluster resources should be cleaned up once the cluster instance falls out of scope. However, in some applications tuning resources is necessary and in those types of applications, this method might be beneficial.
Authentication
Bucket
- class couchbase.bucket.Bucket(cluster, bucket_name)
Create a Couchbase Bucket instance.
Exposes the operations which are available to be performed against a bucket. Namely the ability to access to Collections as well as performing management operations against the bucket.
- Parameters:
- Raises:
BucketNotFoundException – If provided bucket_name cannot be found.
- property connected: bool
Indicator on if the bucket has been connected or not.
- Type:
bool
- collection(collection_name) Collection
Creates a
Collection
instance of the specified collection.- Parameters:
collection_name (str) – Name of the collection to reference.
- Returns:
A
Collection
instance of the specified collection.- Return type:
- default_collection() Collection
Creates a
Collection
instance of the default collection.- Returns:
A
Collection
instance of the default collection.- Return type:
- ping(*opts, **kwargs) PingResult
Performs a ping operation against the bucket.
The ping operation pings the services which are specified (or all services if none are specified). Returns a report which describes the outcome of the ping operations which were performed.
- Parameters:
opts (
PingOptions
) – Optional parameters for this operation.- Returns:
A report which describes the outcome of the ping operations which were performed.
- Return type:
- view_query(design_doc, view_name, *view_options, **kwargs) ViewResult
Executes a View query against the bucket.
Note
The query is executed lazily in that it is executed once iteration over the
ViewResult
begins.See also
ViewIndexManager
: for how to manage query indexes
- Parameters:
design_doc (str) – The name of the design document containing the view to execute.
view_name (str) – The name of the view to execute.
view_options (
ViewOptions
) – Optional parameters for the view query operation.**kwargs (Dict[str, Any]) – keyword arguments that can be used in place or to override provided
ViewOptions
- Returns:
An instance of a
ViewResult
which provides access to iterate over the query results and access metadata about the query.- Return type:
Examples
Simple view query:
from couchbase.management.views import DesignDocumentNamespace # ... other code ... view_result = bucket.view_query('ddoc-name', 'view-name', limit=10, namespace=DesignDocumentNamespace.DEVELOPMENT) for row in view_result.rows(): print(f'Found row: {row}')
- collections() CollectionManager
Get a
CollectionManager
which can be used to manage the scopes and collections of this bucket.- Returns:
A
CollectionManager
instance.- Return type:
- view_indexes() ViewIndexManager
Get a
ViewIndexManager
which can be used to manage the view design documents and views of this bucket.- Returns:
A
ViewIndexManager
instance.- Return type:
ViewIndexManager
Scope
- class couchbase.scope.Scope(bucket, scope_name)
Create a Couchbase Scope instance.
Exposes the operations which are available to be performed against a scope. Namely the ability to access to Collections for performing operations.
- query(statement, *options, **kwargs) QueryResult
Executes a N1QL query against the scope.
Note
The query is executed lazily in that it is executed once iteration over the
QueryResult
begins.Note
Scope-level queries are only supported on Couchbase Server versions that support scopes and collections.
See also
QueryIndexManager
: For how to manage query indexes.query()
: For how to execute cluster-level queries.
- Parameters:
statement (str) – The N1QL statement to execute.
options (
QueryOptions
) – Optional parameters for the query operation.**kwargs (Dict[str, Any]) – keyword arguments that can be used in place or to override provided
QueryOptions
- Returns:
An instance of a
QueryResult
which provides access to iterate over the query results and access metadata and metrics about the query.- Return type:
Examples
Simple query:
q_res = scope.query('SELECT * FROM `inventory` WHERE country LIKE 'United%' LIMIT 2;') for row in q_res.rows(): print(f'Found row: {row}')
Simple query with positional parameters:
from couchbase.options import QueryOptions # ... other code ... q_str = 'SELECT * FROM `inventory` WHERE country LIKE $1 LIMIT $2;' q_res = scope.query(q_str, QueryOptions(positional_parameters=['United%', 5])) for row in q_res.rows(): print(f'Found row: {row}')
Simple query with named parameters:
from couchbase.options import QueryOptions # ... other code ... q_str = 'SELECT * FROM `travel-sample` WHERE country LIKE $country LIMIT $lim;' q_res = scope.query(q_str, QueryOptions(named_parameters={'country': 'United%', 'lim':2})) for row in q_res.rows(): print(f'Found row: {row}')
Retrieve metadata and/or metrics from query:
from couchbase.options import QueryOptions # ... other code ... q_str = 'SELECT * FROM `travel-sample` WHERE country LIKE $country LIMIT $lim;' q_res = scope.query(q_str, QueryOptions(metrics=True)) for row in q_res.rows(): print(f'Found row: {row}') print(f'Query metadata: {q_res.metadata()}') print(f'Query metrics: {q_res.metadata().metrics()}')
- search_query(index, query, *options, **kwargs) SearchResult
Executes an search query against the scope.
Warning
This method is DEPRECATED and will be removed in a future release. Use
search()
instead.Note
The search query is executed lazily in that it is executed once iteration over the
SearchResult
begins.- Parameters:
index (str) – Name of the search query to use.
query (
SearchQuery
) – Type of search query to perform.options (
SearchOptions
) – Optional parameters for the search query operation.**kwargs (Dict[str, Any]) – keyword arguments that can be used in place or to override provided
SearchOptions
- Returns:
An instance of a
SearchResult
which provides access to iterate over the search query results and access metadata and metrics about the search query.- Return type:
Examples
Note
Be sure to create a search index prior to executing search queries. Also, if an application desires to utilize search row locations, highlighting, etc. make sure the search index is setup appropriately. See Creating Indexes in Couchbase Server docs.
Simple search query:
import couchbase.search as search from couchbase.options import SearchOptions # ... other code ... query = search.TermQuery('home') q_res = scope.search_query('travel-sample-index', query, SearchOptions(limit=10)) for row in q_res.rows(): print(f'Found row: {row}')
Simple search query with facets:
import couchbase.search as search from couchbase.options import SearchOptions # ... other code ... facet_name = 'activity' facet = search.TermFacet('activity') query = search.TermQuery('home') q_res = scope.search_query('travel-sample-index', query, SearchOptions(limit=10, facets={facet_name: facet})) for row in q_res.rows(): print(f'Found row: {row}') print(f'facets: {q_res.facets()}')
Simple search query with fields and locations:
import couchbase.search as search from couchbase.options import SearchOptions # ... other code ... search_fields = ['name', 'activity'] query = search.TermQuery('home') q_res = scope.search_query('travel-sample-index', query, SearchOptions(limit=10, include_locations=True, fields=search_fields)) for row in q_res.rows(): print(f'Found row: {row}') print(f'Fields: {row.fields}') print(f'Locations: {row.locations}')
- search(index, request, *options, **kwargs) SearchResult
Executes an search against the scope.
Note
The search is executed lazily in that it is executed once iteration over the
SearchResult
begins.See also
ScopeSearchIndexManager
: for how to manage search indexes.search()
: for how to execute cluster-level search
- Parameters:
index (str) – Name of the search index to use.
request (
SearchRequest
) – Type of search request to perform.options (
SearchOptions
) – Optional parameters for the search query operation.**kwargs (Dict[str, Any]) – keyword arguments that can be used in place or to override provided
SearchOptions
- Returns:
An instance of a
SearchResult
which provides access to iterate over the search query results and access metadata and metrics about the search query.- Return type:
Examples
Note
Be sure to create a search index prior to executing a search. Also, if an application desires to utilize search row locations, highlighting, etc. make sure the search index is setup appropriately. See Creating Indexes in Couchbase Server docs.
Simple search:
import couchbase.search as search from couchbase.options import SearchOptions # ... other code ... request = search.SearchRequest.create(search.TermQuery('home')) q_res = scope.search('travel-sample-index', request, SearchOptions(limit=10)) for row in q_res.rows(): print(f'Found row: {row}')
Simple vector search:
import couchbase.search as search from couchbase.options import SearchOptions from couchbase.vector_search import VectorQuery, VectorSearch # ... other code ... # NOTE: the vector is expected to be type List[float], set the vector to the appropriate value, this is an example. vector = [-0.014653487130999565, -0.008658270351588726, 0.017129190266132355, -0.015563474968075752] request = search.SearchRequest.create(VectorSearch.from_vector_query(VectorQuery('vector_field', vector))) q_res = scope.search('travel-sample-vector-index', request, SearchOptions(limit=10)) for row in q_res.rows(): print(f'Found row: {row}')
Combine search and vector search:
import couchbase.search as search from couchbase.options import SearchOptions from couchbase.vector_search import VectorQuery, VectorSearch # ... other code ... # NOTE: the vector is expected to be type List[float], set the vector to the appropriate value, this is an example. vector_search = VectorSearch.from_vector_query(VectorQuery('vector_field', [-0.014653487130999565, -0.008658270351588726, 0.017129190266132355, -0.015563474968075752])) request = search.SearchRequest.create(search.MatchAllQuery()).with_vector_search(vector_search) q_res = scope.search('travel-sample-vector-index', request, SearchOptions(limit=10)) for row in q_res.rows(): print(f'Found row: {row}')
- analytics_query(statement, *options, **kwargs) AnalyticsResult
Executes an analaytics query against the scope.
Note
The analytics query is executed lazily in that it is executed once iteration over the
AnalyticsResult
begins.See also
AnalyticsIndexManager
: for how to manage analytics dataverses, datasets, indexes and links.analytics_query()
: for how to execute cluster-level analytics queries
- Parameters:
statement (str) – The analytics SQL++ statement to execute.
options (
AnalyticsOptions
) – Optional parameters for the analytics query operation.**kwargs (Dict[str, Any]) – keyword arguments that can be used in place or to override provided
AnalyticsOptions
- Returns:
An instance of a
AnalyticsResult
which provides access to iterate over the analytics query results and access metadata and metrics about the analytics query.- Return type:
Examples
Note
Be sure to setup the necessary dataverse(s), dataset(s) for your analytics queries. See Analytics Introduction in Couchbase Server docs.
Simple analytics query:
q_str = 'SELECT * FROM `travel-sample` WHERE country LIKE $1 LIMIT $2;' q_res = scope.analytics_query(q_str) for row in q_res.rows(): print(f'Found row: {row}')
Simple analytics query with positional parameters:
from couchbase.options import AnalyticsOptions # ... other code ... q_str = 'SELECT * FROM `travel-sample` WHERE country LIKE $1 LIMIT $2;' q_res = scope.analytics_query(q_str, AnalyticsOptions(positional_parameters=['United%', 5])) for row in q_res.rows(): print(f'Found row: {row}')
Simple analytics query with named parameters:
from couchbase.options import AnalyticsOptions # ... other code ... q_str = 'SELECT * FROM `travel-sample` WHERE country LIKE $country LIMIT $lim;' q_res = scope.analytics_query(q_str, AnalyticsOptions(named_parameters={'country': 'United%', 'lim':2})) for row in q_res.rows(): print(f'Found row: {row}')
Retrieve metadata and/or metrics from analytics query:
q_str = 'SELECT * FROM `travel-sample` WHERE country LIKE $country LIMIT $lim;' q_res = scope.analytics_query(q_str) for row in q_res.rows(): print(f'Found row: {row}') print(f'Analytics query metadata: {q_res.metadata()}') print(f'Analytics query metrics: {q_res.metadata().metrics()}')
- search_indexes() ScopeSearchIndexManager
Get a
ScopeSearchIndexManager
which can be used to manage the search indexes of this scope.- Returns:
A
ScopeSearchIndexManager
instance.- Return type:
ScopeSearchIndexManager
Collection
- class couchbase.collection.Collection
- property name: str
The name of this
Collection
instance.- Type:
str
- exists(key, *opts, **kwargs) ExistsResult
Checks whether a specific document exists or not.
- Parameters:
key (str) – The key for the document to check existence.
opts (
ExistsOptions
) – Optional parameters for this operation.**kwargs (Dict[str, Any]) – keyword arguments that can be used in place or to override provided
ExistsOptions
- Returns:
An instance of
ExistsResult
.- Return type:
Examples
Simple exists operation:
bucket = cluster.bucket('travel-sample') collection = bucket.scope('inventory').collection('airline') key = 'airline_10' res = collection.exists(key) print(f'Document w/ key - {key} {"exists" if res.exists else "does not exist"}')
Simple exists operation with options:
from datetime import timedelta from couchbase.options import ExistsOptions # ... other code ... key = 'airline_10' res = collection.exists(key, ExistsOptions(timeout=timedelta(seconds=2))) print(f'Document w/ key - {key} {"exists" if res.exists else "does not exist"}')
- get(key, *opts, **kwargs) GetResult
Retrieves the value of a document from the collection.
- Parameters:
key (str) – The key for the document to retrieve.
opts (
GetOptions
) – Optional parameters for this operation.**kwargs (Dict[str, Any]) – keyword arguments that can be used in place or to override provided
GetOptions
- Returns:
An instance of
GetResult
.- Return type:
- Raises:
DocumentNotFoundException – If the key provided does not exist on the server.
Examples
Simple get operation:
bucket = cluster.bucket('travel-sample') collection = bucket.scope('inventory').collection('airline') res = collection.get('airline_10') print(f'Document value: {res.content_as[dict]}')
Simple get operation with options:
from datetime import timedelta from couchbase.options import GetOptions # ... other code ... res = collection.get('airline_10', GetOptions(timeout=timedelta(seconds=2))) print(f'Document value: {res.content_as[dict]}')
- get_all_replicas(key, *opts, **kwargs) Iterable[GetReplicaResult]
Retrieves the value of a document from the collection returning both active and all available replicas.
- Parameters:
key (str) – The key for the document to retrieve.
opts (
GetAllReplicasOptions
) – Optional parameters for this operation.**kwargs (Dict[str, Any]) – keyword arguments that can be used in place or to override provided
GetAllReplicasOptions
- Returns:
A stream of
GetReplicaResult
representing both active and replicas of the document retrieved.- Return type:
Iterable[
GetReplicaResult
]- Raises:
DocumentNotFoundException – If the key provided does not exist
on the server. –
Examples
Simple get_all_replicas operation:
bucket = cluster.bucket('travel-sample') collection = bucket.scope('inventory').collection('airline') result = collection.get_all_replicas('airline_10') for res in results: print(f'Document is replica: {res.is_replica}') print(f'Document value: {res.content_as[dict]}')
Simple get_all_replicas operation with options:
from datetime import timedelta from couchbase.options import GetAllReplicasOptions # ... other code ... result = collection.get_all_replicas('airline_10', GetAllReplicasOptions(timeout=timedelta(seconds=10))) for res in result: print(f'Document is replica: {res.is_replica}') print(f'Document value: {res.content_as[dict]}')
Stream get_all_replicas results:
from datetime import timedelta from couchbase.options import GetAllReplicasOptions # ... other code ... result = collection.get_all_replicas('airline_10', GetAllReplicasOptions(timeout=timedelta(seconds=10))) while True: try: res = next(result) print(f'Document is replica: {res.is_replica}') print(f'Document value: {res.content_as[dict]}') except StopIteration: print('Done streaming replicas.') break
- get_and_lock(key, lock_time, *opts, **kwargs) GetResult
Locks a document and retrieves the value of that document at the time it is locked.
- Parameters:
key (str) – The key for the document to lock and retrieve.
lock_time (timedelta) – The amount of time to lock the document.
opts (
GetAndLockOptions
) – Optional parameters for this operation.**kwargs (Dict[str, Any]) – keyword arguments that can be used in place or to override provided
GetAndLockOptions
- Returns:
An instance of
GetResult
.- Return type:
- Raises:
DocumentNotFoundException – If the key provided does not exist on the server.
Examples
Simple get and lock operation:
from datetime import timedelta # ... other code ... bucket = cluster.bucket('travel-sample') collection = bucket.scope('inventory').collection('airline') key = 'airline_10' res = collection.get_and_lock(key, timedelta(seconds=20)) print(f'Locked document: {res.content_as[dict]}')
Simple get and lock operation with options:
from datetime import timedelta from couchbase.options import GetAndLockOptions # ... other code ... key = 'airline_10' res = collection.get_and_lock(key, timedelta(seconds=20), GetAndLockOptions(timeout=timedelta(seconds=2))) print(f'Locked document: {res.content_as[dict]}')
- get_and_touch(key, expiry, *opts, **kwargs) GetResult
Retrieves the value of the document and simultanously updates the expiry time for the same document.
- Parameters:
key (str) – The key for the document retrieve and set expiry time.
expiry (timedelta) – The new expiry to apply to the document.
opts (
GetAndTouchOptions
) – Optional parameters for this operation.**kwargs (Dict[str, Any]) – keyword arguments that can be used in place or to override provided
GetAndTouchOptions
- Returns:
An instance of
GetResult
.- Return type:
- Raises:
DocumentNotFoundException – If the key provided does not exist on the server.
Examples
Simple get and touch operation:
from datetime import timedelta # ... other code ... bucket = cluster.bucket('travel-sample') collection = bucket.scope('inventory').collection('airline') key = 'airline_10' res = collection.get_and_touch(key, timedelta(seconds=20)) print(f'Document w/ updated expiry: {res.content_as[dict]}')
Simple get and touch operation with options:
from datetime import timedelta from couchbase.options import GetAndTouchOptions # ... other code ... key = 'airline_10' res = collection.get_and_touch(key, timedelta(seconds=20), GetAndTouchOptions(timeout=timedelta(seconds=2))) print(f'Document w/ updated expiry: {res.content_as[dict]}')
- get_any_replica(key, *opts, **kwargs) GetReplicaResult
Retrieves the value of a document from the collection leveraging both active and all available replicas returning the first available.
- Parameters:
key (str) – The key for the document to retrieve.
opts (
GetAnyReplicaOptions
) – Optional parameters for this operation.**kwargs (Dict[str, Any]) – keyword arguments that can be used in place or to override provided
GetAnyReplicaOptions
- Returns:
An instance of
GetReplicaResult
.- Return type:
GetReplicaResult
- Raises:
DocumentUnretrievableException – If the key provided does not exist on the server.
Examples
Simple get_any_replica operation:
bucket = cluster.bucket('travel-sample') collection = bucket.scope('inventory').collection('airline') res = collection.get_any_replica('airline_10') print(f'Document is replica: {res.is_replica}') print(f'Document value: {res.content_as[dict]}')
Simple get_any_replica operation with options:
from datetime import timedelta from couchbase.options import GetAnyReplicaOptions # ... other code ... res = collection.get_any_replica('airline_10', GetAnyReplicaOptions(timeout=timedelta(seconds=5))) print(f'Document is replica: {res.is_replica}') print(f'Document value: {res.content_as[dict]}')
- insert(key, value, *opts, **kwargs) MutationResult
Inserts a new document to the collection, failing if the document already exists.
- Parameters:
key (str) – Document key to insert.
value (JSONType) – The value of the document to insert.
opts (
InsertOptions
) – Optional parameters for this operation.**kwargs (Dict[str, Any]) – keyword arguments that can be used in place or to override provided
InsertOptions
- Returns:
An instance of
MutationResult
.- Return type:
- Raises:
DocumentExistsException – If the document already exists on the server.
Examples
Simple insert operation:
bucket = cluster.bucket('travel-sample') collection = bucket.scope('inventory').collection('airline') key = 'airline_8091' airline = { "type": "airline", "id": 8091, "callsign": "CBS", "iata": None, "icao": None, "name": "Couchbase Airways", } res = collection.insert(key, doc)
Simple insert operation with options:
from couchbase.durability import DurabilityLevel, ServerDurability from couchbase.options import InsertOptions # ... other code ... key = 'airline_8091' airline = { "type": "airline", "id": 8091, "callsign": "CBS", "iata": None, "icao": None, "name": "Couchbase Airways", } durability = ServerDurability(level=DurabilityLevel.PERSIST_TO_MAJORITY) res = collection.insert(key, doc, InsertOptions(durability=durability))
- lookup_in(key, spec, *opts, **kwargs) LookupInResult
Performs a lookup-in operation against a document, fetching individual fields or information about specific fields inside the document value.
- Parameters:
key (str) – The key for the document look in.
spec (Iterable[
Spec
]) – A list of specs describing the data to fetch from the document.opts (
LookupInOptions
) – Optional parameters for this operation.**kwargs (Dict[str, Any]) – keyword arguments that can be used in place or to override provided
LookupInOptions
- Returns:
An instance of
LookupInResult
.- Return type:
- Raises:
DocumentNotFoundException – If the key provided does not exist on the server.
Examples
Simple look-up in operation:
import couchbase.subdocument as SD # ... other code ... bucket = cluster.bucket('travel-sample') collection = bucket.scope('inventory').collection('hotel') key = 'hotel_10025' res = collection.lookup_in(key, (SD.get("geo"),)) print(f'Hotel {key} coordinates: {res.content_as[dict](0)}')
Simple look-up in operation with options:
from datetime import timedelta import couchbase.subdocument as SD from couchbase.options import LookupInOptions # ... other code ... key = 'hotel_10025' res = collection.lookup_in(key, (SD.get("geo"),), LookupInOptions(timeout=timedelta(seconds=2))) print(f'Hotel {key} coordinates: {res.content_as[dict](0)}')
- mutate_in(key, spec, *opts, **kwargs) MutateInResult
Performs a mutate-in operation against a document. Allowing atomic modification of specific fields within a document. Also enables access to document extended-attributes (i.e. xattrs).
- Parameters:
key (str) – The key for the document look in.
spec (Iterable[
Spec
]) – A list of specs describing the operations to perform on the document.opts (
MutateInOptions
) – Optional parameters for this operation.**kwargs (Dict[str, Any]) – keyword arguments that can be used in place or to override provided
MutateInOptions
- Returns:
An instance of
MutateInResult
.- Return type:
- Raises:
DocumentNotFoundException – If the key provided does not exist on the server.
Examples
Simple mutate-in operation:
import couchbase.subdocument as SD # ... other code ... bucket = cluster.bucket('travel-sample') collection = bucket.scope('inventory').collection('hotel') key = 'hotel_10025' res = collection.mutate_in(key, (SD.replace("city", "New City"),))
Simple mutate-in operation with options:
from datetime import timedelta import couchbase.subdocument as SD from couchbase.options import MutateInOptions # ... other code ... key = 'hotel_10025' res = collection.mutate_in(key, (SD.replace("city", "New City"),), MutateInOptions(timeout=timedelta(seconds=2)))
- remove(key, *opts, **kwargs) MutationResult
Removes an existing document. Failing if the document does not exist.
- Parameters:
key (str) – Key for the document to remove.
opts (
RemoveOptions
) – Optional parameters for this operation.**kwargs (Dict[str, Any]) – keyword arguments that can be used in place or to override provided
RemoveOptions
- Returns:
An instance of
MutationResult
.- Return type:
- Raises:
DocumentNotFoundException – If the document does not exist on the server.
Examples
Simple remove operation:
bucket = cluster.bucket('travel-sample') collection = bucket.scope('inventory').collection('airline') res = collection.remove('airline_10')
Simple remove operation with options:
from couchbase.durability import DurabilityLevel, ServerDurability from couchbase.options import RemoveOptions # ... other code ... durability = ServerDurability(level=DurabilityLevel.MAJORITY) res = collection.remove('airline_10', RemoveOptions(durability=durability))
- replace(key, value, *opts, **kwargs) MutationResult
Replaces the value of an existing document. Failing if the document does not exist.
- Parameters:
key (str) – Document key to replace.
value (JSONType) – The value of the document to replace.
opts (
ReplaceOptions
) – Optional parameters for this operation.**kwargs (Dict[str, Any]) – keyword arguments that can be used in place or to override provided
ReplaceOptions
- Returns:
An instance of
MutationResult
.- Return type:
- Raises:
DocumentNotFoundException – If the document does not exist on the server.
Examples
Simple replace operation:
bucket = cluster.bucket('travel-sample') collection = bucket.scope('inventory').collection('airline') key = 'airline_8091' res = collection.get(key) content = res.content_as[dict] airline["name"] = "Couchbase Airways!!" res = collection.replace(key, doc)
Simple replace operation with options:
from couchbase.durability import DurabilityLevel, ServerDurability from couchbase.options import ReplaceOptions # ... other code ... key = 'airline_8091' res = collection.get(key) content = res.content_as[dict] airline["name"] = "Couchbase Airways!!" durability = ServerDurability(level=DurabilityLevel.MAJORITY) res = collection.replace(key, doc, InsertOptions(durability=durability))
- touch(key, expiry, *opts, **kwargs) MutationResult
Updates the expiry on an existing document.
- Parameters:
key (str) – Key for the document to touch.
expiry (timedelta) – The new expiry for the document.
opts (
TouchOptions
) – Optional parameters for this operation.**kwargs (Dict[str, Any]) – keyword arguments that can be used in place or to override provided
TouchOptions
- Returns:
An instance of
MutationResult
.- Return type:
- Raises:
DocumentNotFoundException – If the document does not exist on the server.
Examples
Simple touch operation:
from datetime import timedelta # ... other code ... bucket = cluster.bucket('travel-sample') collection = bucket.scope('inventory').collection('airline') res = collection.touch('airline_10', timedelta(seconds=300))
Simple touch operation with options:
from datetime import timedelta from couchbase.options import TouchOptions # ... other code ... res = collection.touch('airline_10', timedelta(seconds=300), TouchOptions(timeout=timedelta(seconds=2)))
- unlock(key, cas, *opts, **kwargs) None
Unlocks a previously locked document.
- Parameters:
key (str) – The key for the document to unlock.
cas (int) – The CAS of the document, used to validate lock ownership.
opts (
couchbaseoptions.UnlockOptions
) – Optional parameters for this operation.**kwargs (Dict[str, Any]) – keyword arguments that can be used in place or to override provided
UnlockOptions
- Raises:
DocumentNotFoundException – If the key provided does not exist on the server.
DocumentLockedException – If the provided cas is invalid.
Examples
Simple unlock operation:
from datetime import timedelta # ... other code ... bucket = cluster.bucket('travel-sample') collection = bucket.scope('inventory').collection('airline') key = 'airline_10' res = collection.get_and_lock(key, timedelta(seconds=5)) collection.unlock(key, res.cas) # this should be okay once document is unlocked collection.upsert(key, res.content_as[dict])
- upsert(key, value, *opts, **kwargs) MutationResult
Upserts a document to the collection. This operation succeeds whether or not the document already exists.
- Parameters:
key (str) – Document key to upsert.
value (JSONType) – The value of the document to upsert.
opts (
UpsertOptions
) – Optional parameters for this operation.**kwargs (Dict[str, Any]) – keyword arguments that can be used in place or to override provided
UpsertOptions
- Returns:
An instance of
MutationResult
.- Return type:
Examples
Simple upsert operation:
bucket = cluster.bucket('travel-sample') collection = bucket.scope('inventory').collection('airline') key = 'airline_8091' airline = { "type": "airline", "id": 8091, "callsign": "CBS", "iata": None, "icao": None, "name": "Couchbase Airways", } res = collection.upsert(key, doc)
Simple upsert operation with options:
from couchbase.durability import DurabilityLevel, ServerDurability from couchbase.options import UpsertOptions # ... other code ... key = 'airline_8091' airline = { "type": "airline", "id": 8091, "callsign": "CBS", "iata": None, "icao": None, "name": "Couchbase Airways", } durability = ServerDurability(level=DurabilityLevel.MAJORITY) res = collection.upsert(key, doc, InsertOptions(durability=durability))
- scan(scan_type, *opts, **kwargs) ScanResultIterable
Execute a key-value range scan operation from the collection.
Note
Use this API for low concurrency batch queries where latency is not a critical as the system may have to scan a lot of documents to find the matching documents. For low latency range queries, it is recommended that you use SQL++ with the necessary indexes.
- Parameters:
scan_type (
ScanType
) – Either aRangeScan
,PrefixScan
orSamplingScan
instance.opts (
ScanOptions
) – Optional parameters for this operation.**kwargs (Dict[str, Any]) – keyword arguments that can be used in place or to override provided
ScanOptions
- Raises:
InvalidArgumentException – If scan_type is not either a RangeScan or SamplingScan instance.
InvalidArgumentException – If sort option is provided and is incorrect type.
InvalidArgumentException – If consistent_with option is provided and is not a
- Returns:
An instance of
ScanResultIterable
.- Return type:
Examples
Simple range scan operation:
from couchbase.kv_range_scan import RangeScan from couchbase.options import ScanOptions # ... other code ... bucket = cluster.bucket('travel-sample') collection = bucket.scope('inventory').collection('airline') scan_type = RangeScan(ScanTerm('airline-00'), ScanTerm('airline-99')) scan_iter = collection.scan(scan_type, ScanOptions(ids_only=True)) for res in scan_iter: print(res)
- binary() BinaryCollection
Creates a BinaryCollection instance, allowing access to various binary operations possible against a collection.
See also
- Returns:
A BinaryCollection instance.
- Return type:
- couchbase_list(key) CouchbaseList
Returns a CouchbaseList permitting simple list storage in a document.
See also
- Returns:
A CouchbaseList instance.
- Return type:
- list_append(key, value, create=False, **kwargs) OperationResult
Add an item to the end of a list.
Warning
This method is deprecated and will be removed in a future version. Use
CouchbaseList.append()
instead.- Parameters:
key (str) – The key for the list document.
value (JSONType) – The value to append to the list.
create (bool, optional) – Whether the list should be created if it does not exist.
**kwargs (Dict[str, Any]) – keyword arguments that can be used as optional parameters for this operation.
- Returns:
An instance of
OperationResult
.- Return type:
couchbase~.result.OperationResult
- Raises:
DocumentNotFoundException – If the key provided does not exist on the server.
- list_prepend(key, value, create=False, **kwargs) OperationResult
Add an item to the beginning of a list.
Warning
This method is deprecated and will be removed in a future version. Use
CouchbaseList.prepend()
instead.- Parameters:
key (str) – The key for the list document.
value (JSONType) – The value to prepend to the list.
create (bool, optional) – Whether the list should be created if it does not exist.
**kwargs (Dict[str, Any]) – keyword arguments that can be used as optional parameters for this operation.
- Returns:
An instance of
OperationResult
.- Return type:
OperationResult
- Raises:
DocumentNotFoundException – If the key provided does not exist on the server.
- list_set(key, index, value, **kwargs) OperationResult
Sets an item within a list at a given position.
Warning
This method is deprecated and will be removed in a future version. Use
CouchbaseList.set_at()
instead.- Parameters:
key (str) – The key for the list document.
index (int) – The position to replace.
value (JSONType) – The value to prepend to the list.
**kwargs (Dict[str, Any]) – keyword arguments that can be used as optional parameters for this operation.
- Returns:
An instance of
OperationResult
.- Return type:
OperationResult
- Raises:
DocumentNotFoundException – If the key provided does not exist on the server.
IndexError – If the index is out of bounds.
- list_get(key, index, **kwargs) Any
Get a specific element within a list.
Warning
This method is deprecated and will be removed in a future version. Use
CouchbaseList.get_at()
instead.- Parameters:
key (str) – The key for the list document.
index (int) – The position to retrieve.
**kwargs (Dict[str, Any]) – keyword arguments that can be used as optional parameters for this operation.
- Returns:
The value of the element at the specified index.
- Return type:
Any
- Raises:
DocumentNotFoundException – If the key provided does not exist on the server.
IndexError – If the index is out of bounds.
- list_remove(key, index, **kwargs) OperationResult
Remove the element at a specific index from a list.
Warning
This method is deprecated and will be removed in a future version. Use
CouchbaseList.remove_at()
instead.- Parameters:
key (str) – The key for the list document.
index (int) – The position to remove.
**kwargs (Dict[str, Any]) – keyword arguments that can be used as optional parameters for this operation.
- Returns:
An instance of
OperationResult
.- Return type:
OperationResult
- Raises:
DocumentNotFoundException – If the key provided does not exist on the server.
IndexError – If the index is out of bounds.
- list_size(key, **kwargs) int
Returns the number of items in the list.
Warning
This method is deprecated and will be removed in a future version. Use
CouchbaseList.size()
instead.- Parameters:
key (str) – The key for the list document.
**kwargs (Dict[str, Any]) – keyword arguments that can be used as optional parameters for this operation.
- Returns:
The number of items in the list.
- Return type:
int
- Raises:
DocumentNotFoundException – If the key provided does not exist on the server.
- couchbase_map(key) CouchbaseMap
Returns a CouchbaseMap permitting simple map storage in a document.
See also
- Returns:
A CouchbaseMap instance.
- Return type:
- map_add(key, mapkey, value, create=False, **kwargs) OperationResult
Set a value for a key in a map.
Warning
This method is deprecated and will be removed in a future version. Use
CouchbaseMap.add()
instead.- Parameters:
key (str) – The key for the map document.
mapkey (str) – The key in the map to set.
value (Any) – The value to use.
create (bool, optional) – Whether the map should be created if it does not exist.
**kwargs (Dict[str, Any]) – keyword arguments that can be used as optional parameters for this operation.
- Returns:
An instance of
OperationResult
.- Return type:
OperationResult
- Raises:
DocumentNotFoundException – If the key provided does not exist on the server.
- map_get(key, mapkey, **kwargs) Any
Retrieve a value from a map.
Warning
This method is deprecated and will be removed in a future version. Use
CouchbaseMap.get()
instead.- Parameters:
key (str) – The key for the map document.
mapkey (str) – The key in the map to set.
**kwargs (Dict[str, Any]) – keyword arguments that can be used as optional parameters for this operation.
- Returns:
The value of the specified key.
- Return type:
Any
- Raises:
DocumentNotFoundException – If the key provided does not exist on the server.
- map_remove(key, mapkey, **kwargs) OperationResult
Remove an item from a map.
Warning
This method is deprecated and will be removed in a future version. Use
CouchbaseMap.remove()
instead.- Parameters:
key (str) – The key for the map document.
mapkey (str) – The key in the map to set.
**kwargs (Dict[str, Any]) – keyword arguments that can be used as optional parameters for this operation.
- Returns:
An instance of
OperationResult
.- Return type:
OperationResult
- Raises:
DocumentNotFoundException – If the key provided does not exist on the server.
- map_size(key, **kwargs) int
Get the number of items in the map.
Warning
This method is deprecated and will be removed in a future version. Use
CouchbaseMap.remove()
instead.- Parameters:
key (str) – The key for the map document.
**kwargs (Dict[str, Any]) – keyword arguments that can be used as optional parameters for this operation.
- Returns:
The number of items in the map.
- Return type:
int
- Raises:
DocumentNotFoundException – If the key provided does not exist on the server.
- couchbase_set(key) CouchbaseSet
Returns a CouchbaseSet permitting simple map storage in a document.
See also
- Returns:
A CouchbaseSet instance.
- Return type:
- set_add(key, value, create=False, **kwargs) OperationResult | None
Add an item to a set if the item does not yet exist.
Warning
This method is deprecated and will be removed in a future version. Use
CouchbaseSet.add()
instead.- Parameters:
key (str) – The key for the set document.
value (Any) – The value to add to the set.
create (bool, optional) – Whether the set should be created if it does not exist.
**kwargs (Dict[str, Any]) – keyword arguments that can be used as optional parameters for this operation.
- Returns:
An instance of
OperationResult
.- Return type:
OperationResult
- Raises:
DocumentNotFoundException – If the key provided does not exist on the server.
- set_remove(key, value, **kwargs) OperationResult | None
Remove an item from a set.
Warning
This method is deprecated and will be removed in a future version. Use
CouchbaseSet.remove()
instead.- Parameters:
key (str) – The key for the set document.
value (Any) – The value to remove from the set.
**kwargs (Dict[str, Any]) – keyword arguments that can be used as optional parameters for this operation.
- Returns:
An instance of
OperationResult
.- Return type:
OperationResult
- Raises:
DocumentNotFoundException – If the key provided does not exist on the server.
- set_size(key, **kwargs) int
Get the length of a set.
Warning
This method is deprecated and will be removed in a future version. Use
CouchbaseSet.size()
instead.- Parameters:
key (str) – The key for the set document.
**kwargs (Dict[str, Any]) – keyword arguments that can be used as optional parameters for this operation.
- Returns:
The length of a set.
- Return type:
int
- Raises:
DocumentNotFoundException – If the key provided does not exist on the server.
- set_contains(key, value, **kwargs) bool
Determine if an item exists in a set
Warning
This method is deprecated and will be removed in a future version. Use
CouchbaseSet.contains()
instead.- Parameters:
key (str) – The key for the set document.
value (Any) – The value to check for.
**kwargs (Dict[str, Any]) – keyword arguments that can be used as optional parameters for this operation.
- Returns:
True if the set contains the specified value. False othwerwise.
- Return type:
bool
- Raises:
DocumentNotFoundException – If the key provided does not exist on the server.
- couchbase_queue(key) CouchbaseQueue
Returns a CouchbaseQueue permitting simple map storage in a document.
See also
- Returns:
A CouchbaseQueue instance.
- Return type:
- queue_push(key, value, create=False, **kwargs) OperationResult
Add an item to the end of a queue.
Warning
This method is deprecated and will be removed in a future version. Use
CouchbaseQueue.push()
instead.- Parameters:
key (str) – The key for the queue document.
value (Any) – The value to add.
create (bool, optional) – Whether the queue should be created if it does not exist.
**kwargs (Dict[str, Any]) – keyword arguments that can be used as optional parameters for this operation.
- Returns:
An instance of
OperationResult
.- Return type:
OperationResult
- Raises:
DocumentNotFoundException – If the key provided does not exist on the server.
- queue_pop(key, **kwargs) OperationResult
Remove and return the first item queue.
Warning
This method is deprecated and will be removed in a future version. Use
CouchbaseQueue.pop()
instead.- Parameters:
key (str) – The key for the queue document.
**kwargs (Dict[str, Any]) – keyword arguments that can be used as optional parameters for this operation.
- Returns:
An instance of
OperationResult
.- Return type:
OperationResult
- Raises:
DocumentNotFoundException – If the key provided does not exist on the server.
- queue_size(key) int
Get the length of a queue.
Warning
This method is deprecated and will be removed in a future version. Use
CouchbaseQueue.size()
instead.- Parameters:
key (str) – The key for the queue document.
- Returns:
The length of the queue.
- Return type:
int
- Raises:
DocumentNotFoundException – If the key provided does not exist on the server.
- get_multi(keys, *opts, **kwargs) MultiGetResult
For each key in the provided list, retrieve the document associated with the key.
- Parameters:
keys (List[str]) – The keys to use for the multiple get operations.
opts (
GetMultiOptions
) – Optional parameters for this operation.**kwargs (Dict[str, Any]) – keyword arguments that can be used in place or to override provided
GetMultiOptions
- Returns:
An instance of
MultiGetResult
.- Return type:
- Raises:
DocumentNotFoundException – If the key provided does not exist on the server and the return_exceptions options is False. Otherwise the exception is returned as a match to the key, but is not raised.
Examples
Simple get-multi operation:
collection = bucket.default_collection() keys = ['doc1', 'doc2', 'doc3'] res = collection.get_multi(keys) for k, v in res.results.items(): print(f'Doc {k} has value: {v.content_as[dict]}')
Simple get-multi operation, raise an Exception if an Exception occurs:
from couchbase.options import GetMultiOptions # ... other code ... collection = bucket.default_collection() keys = ['doc1', 'doc2', 'doc3'] res = collection.get_multi(keys, GetMultiOptions(return_exceptions=False)) for k, v in res.results.items(): print(f'Doc {k} has value: {v.content_as[dict]}')
Simple get-multi operation, individual key options:
from datetime import timedelta from couchbase.options import GetMultiOptions, GetOptions # ... other code ... collection = bucket.default_collection() keys = ['doc1', 'doc2', 'doc3'] per_key_opts = {'doc1': GetOptions(timeout=timedelta(seconds=10))} res = collection.get_multi(keys, GetMultiOptions(per_key_options=per_key_opts)) for k, v in res.results.items(): print(f'Doc {k} has value: {v.content_as[dict]}')
- get_and_lock_multi(keys, lock_time, *opts, **kwargs) MultiGetResult
For each key in the provided list, lock the document associated with the key.
- Parameters:
keys (List[str]) – The keys to use for the multiple lock operations.
lock_time (timedelta) – The amount of time to lock the documents.
opts (
GetAndLockMultiOptions
) – Optional parameters for this operation.**kwargs (Dict[str, Any]) – keyword arguments that can be used in place or to override provided
GetAndLockMultiOptions
- Returns:
An instance of
MultiGetResult
.- Return type:
- Raises:
DocumentNotFoundException – If the key provided does not exist on the server and the return_exceptions options is False. Otherwise the exception is returned as a match to the key, but is not raised.
Examples
Simple get_and_lock_multi operation:
collection = bucket.default_collection() keys = ['doc1', 'doc2', 'doc3'] res = collection.get_and_lock_multi(keys, timedelta(seconds=20)) for k, v in res.results.items(): print(f'Locked document: key={k}, content={v.content_as[str]}')
Simple get_and_lock_multi operation, raise an Exception if an Exception occurs:
from couchbase.options import GetAndLockMultiOptions # ... other code ... collection = bucket.default_collection() keys = ['doc1', 'doc2', 'doc3'] res = collection.get_and_lock_multi(keys, timedelta(seconds=20), GetAndLockMultiOptions(return_exceptions=False)) for k, v in res.results.items(): print(f'Locked document: key={k}, content={v.content_as[str]}')
Simple get_and_lock_multi operation, individual key options:
from datetime import timedelta from couchbase.options import GetAndLockMultiOptions, GetAndLockOptions # ... other code ... collection = bucket.default_collection() keys = ['doc1', 'doc2', 'doc3'] per_key_opts = {'doc1': GetAndLockOptions(timeout=timedelta(seconds=10))} res = collection.get_and_lock_multi(keys, timedelta(seconds=20), GetAndLockMultiOptions(per_key_options=per_key_opts)) for k, v in res.results.items(): print(f'Locked document: key={k}, content={v.content_as[str]}')
- get_all_replicas_multi(keys, *opts, **kwargs) MultiGetReplicaResult
For each key in the provided list, retrieve the document from the collection returning both active and all available replicas.
- Parameters:
keys (List[str]) – The keys to use for the multiple get operations.
opts (
GetAllReplicasMultiOptions
) – Optional parameters for this operation.**kwargs (Dict[str, Any]) – keyword arguments that can be used in place or to override provided
GetAllReplicasMultiOptions
- Returns:
An instance of
MultiGetReplicaResult
.- Return type:
MultiGetReplicaResult
- Raises:
DocumentNotFoundException – If the key provided does not exist on the server and the return_exceptions options is False. Otherwise the exception is returned as a match to the key, but is not raised.
Examples
Simple get_all_replicas_multi operation:
collection = bucket.default_collection() keys = ['doc1', 'doc2', 'doc3'] res = collection.get_all_replicas_multi(keys) for k, docs in res.results.items(): for doc in docs: if doc.is_replica: print(f'Replica doc {k} has value: {doc.content_as[dict]}') else: print(f'Active doc {k} has value: {doc.content_as[dict]}')
Simple get_all_replicas_multi operation, raise an Exception if an Exception occurs:
from couchbase.options import GetAllReplicasMultiOptions # ... other code ... collection = bucket.default_collection() keys = ['doc1', 'doc2', 'doc3'] res = collection.get_all_replicas_multi(keys, GetAllReplicasMultiOptions(return_exceptions=False)) for k, docs in res.results.items(): for doc in docs: if doc.is_replica: print(f'Replica doc {k} has value: {doc.content_as[dict]}') else: print(f'Active doc {k} has value: {doc.content_as[dict]}')
Simple get_all_replicas_multi operation, individual key options:
from datetime import timedelta from couchbase.options import GetAllReplicasMultiOptions, GetAllReplicasOptions # ... other code ... collection = bucket.default_collection() keys = ['doc1', 'doc2', 'doc3'] per_key_opts = {'doc1': GetAllReplicasOptions(timeout=timedelta(seconds=10))} res = collection.get_all_replicas_multi(keys, GetAllReplicasMultiOptions(per_key_options=per_key_opts)) for k, docs in res.results.items(): for doc in docs: if doc.is_replica: print(f'Replica doc {k} has value: {doc.content_as[dict]}') else: print(f'Active doc {k} has value: {doc.content_as[dict]}')
- get_any_replica_multi(keys, *opts, **kwargs) MultiGetReplicaResult
For each key in the provided list, retrieve the document associated with the key from the collection leveraging both active and all available replicas returning the first available.
- Parameters:
keys (List[str]) – The keys to use for the multiple get operations.
opts (
GetAnyReplicaMultiOptions
) – Optional parameters for this operation.**kwargs (Dict[str, Any]) – keyword arguments that can be used in place or to override provided
GetAnyReplicaMultiOptions
- Returns:
An instance of
MultiGetReplicaResult
.- Return type:
MultiGetReplicaResult
- Raises:
DocumentUnretrievableException – If the key provided does not exist on the server and the return_exceptions options is False. Otherwise the exception is returned as a match to the key, but is not raised.
Examples
Simple get_any_replica_multi operation:
collection = bucket.default_collection() keys = ['doc1', 'doc2', 'doc3'] res = collection.get_any_replica_multi(keys) for k, v in res.results.items(): if v.is_replica: print(f'Replica doc {k} has value: {v.content_as[dict]}') else: print(f'Active doc {k} has value: {v.content_as[dict]}')
Simple get_any_replica_multi operation, raise an Exception if an Exception occurs:
from couchbase.options import GetAnyReplicaMultiOptions # ... other code ... collection = bucket.default_collection() keys = ['doc1', 'doc2', 'doc3'] res = collection.get_any_replica_multi(keys, GetAnyReplicaMultiOptions(return_exceptions=False)) for k, v in res.results.items(): if v.is_replica: print(f'Replica doc {k} has value: {v.content_as[dict]}') else: print(f'Active doc {k} has value: {v.content_as[dict]}')
Simple get_any_replica_multi operation, individual key options:
from datetime import timedelta from couchbase.options import GetAnyReplicaMultiOptions, GetAnyReplicaOptions # ... other code ... collection = bucket.default_collection() keys = ['doc1', 'doc2', 'doc3'] per_key_opts = {'doc1': GetAnyReplicaOptions(timeout=timedelta(seconds=10))} res = collection.get_any_replica_multi(keys, GetAnyReplicaMultiOptions(per_key_options=per_key_opts)) for k, v in res.results.items(): if v.is_replica: print(f'Replica doc {k} has value: {v.content_as[dict]}') else: print(f'Active doc {k} has value: {v.content_as[dict]}')
- exists_multi(keys, *opts, **kwargs) MultiExistsResult
For each key in the provided list, check if the document associated with the key exists.
- Parameters:
keys (List[str]) – The keys to use for the multiple exists operations.
opts (
ExistsMultiOptions
) – Optional parameters for this operation.**kwargs (Dict[str, Any]) – keyword arguments that can be used in place or to override provided
ExistsMultiOptions
- Returns:
An instance of
MultiExistsResult
.- Return type:
Examples
Simple exists_multi operation:
collection = bucket.default_collection() keys = ['doc1', 'doc2', 'doc3'] res = collection.exists_multi(keys) for k, v in res.results.items(): print(f'Doc with key={k} {"exists" if v.exists else "does not exist"}')
Simple exists_multi operation, raise an Exception if an Exception occurs:
from couchbase.options import ExistsMultiOptions # ... other code ... collection = bucket.default_collection() keys = ['doc1', 'doc2', 'doc3'] res = collection.exists_multi(keys, ExistsMultiOptions(return_exceptions=False)) for k, v in res.results.items(): print(f'Doc with key={k} {"exists" if v.exists else "does not exist"}')
Simple exists_multi operation, individual key options:
from datetime import timedelta from couchbase.options import ExistsMultiOptions, ExistsOptions # ... other code ... collection = bucket.default_collection() keys = ['doc1', 'doc2', 'doc3'] per_key_opts = {'doc1': ExistsOptions(timeout=timedelta(seconds=10))} res = collection.exists_multi(keys, ExistsMultiOptions(per_key_options=per_key_opts)) for k, v in res.results.items(): print(f'Doc with key={k} {"exists" if v.exists else "does not exist"}')
- insert_multi(keys_and_docs, *opts, **kwargs) MultiMutationResult
For each key, value pair in the provided dict, inserts a new document to the collection, failing if the document already exists.
- Parameters:
keys_and_docs (Dict[str, JSONType]) – The keys and values/docs to use for the multiple insert operations.
opts (
InsertMultiOptions
) – Optional parameters for this operation.**kwargs (Dict[str, Any]) – keyword arguments that can be used in place or to override provided
InsertMultiOptions
- Returns:
An instance of
MultiMutationResult
.- Return type:
- Raises:
DocumentExistsException – If the key provided already exists on the server and the return_exceptions options is False. Otherwise the exception is returned as a match to the key, but is not raised.
Examples
Simple insert_multi operation:
collection = bucket.default_collection() keys_and_docs = { 'doc1': {'foo': 'bar', 'id': 'doc1'}, 'doc2': {'bar': 'baz', 'id': 'doc2'}, 'doc3': {'baz': 'qux', 'id': 'doc3'}, 'doc4': {'qux': 'quux', 'id': 'doc4'} } res = collection.insert_multi(keys_and_docs) for k, v in res.results.items(): print(f'Doc inserted: key={k}, cas={v.cas}')
Simple insert_multi operation, raise an Exception if an Exception occurs:
from couchbase.options import InsertMultiOptions # ... other code ... collection = bucket.default_collection() keys_and_docs = { 'doc1': {'foo': 'bar', 'id': 'doc1'}, 'doc2': {'bar': 'baz', 'id': 'doc2'}, 'doc3': {'baz': 'qux', 'id': 'doc3'}, 'doc4': {'qux': 'quux', 'id': 'doc4'} } res = collection.insert_multi(keys_and_docs, InsertMultiOptions(return_exceptions=False)) for k, v in res.results.items(): print(f'Doc inserted: key={k}, cas={v.cas}')
Simple insert_multi operation, individual key options:
from datetime import timedelta from couchbase.options import InsertMultiOptions, InsertOptions # ... other code ... collection = bucket.default_collection() keys_and_docs = { 'doc1': {'foo': 'bar', 'id': 'doc1'}, 'doc2': {'bar': 'baz', 'id': 'doc2'}, 'doc3': {'baz': 'qux', 'id': 'doc3'}, 'doc4': {'qux': 'quux', 'id': 'doc4'} } per_key_opts = {'doc1': InsertOptions(timeout=timedelta(seconds=10))} res = collection.insert_multi(keys_and_docs, InsertMultiOptions(per_key_options=per_key_opts)) for k, v in res.results.items(): print(f'Doc inserted: key={k}, cas={v.cas}')
- lock_multi(keys, lock_time, *opts, **kwargs) MultiGetResult
Warning
This method is deprecated and will be deprecated in a future release. Use
get_and_lock_multi()
instead.
- remove_multi(keys, *opts, **kwargs) MultiMutationResult
For each key in the provided list, remove the existing document. This operation fails if the document does not exist.
- Parameters:
keys (List[str]) – The keys to use for the multiple remove operations.
opts (
RemoveMultiOptions
) – Optional parameters for this operation.**kwargs (Dict[str, Any]) – keyword arguments that can be used in place or to override provided
RemoveMultiOptions
- Returns:
An instance of
MultiMutationResult
.- Return type:
- Raises:
DocumentNotFoundException – If the key provided does not exist on the server and the return_exceptions options is False. Otherwise the exception is returned as a match to the key, but is not raised.
Examples
Simple remove_multi operation:
collection = bucket.default_collection() keys = ['doc1', 'doc2', 'doc3'] res = collection.remove_multi(keys)
Simple remove_multi operation, raise an Exception if an Exception occurs:
from couchbase.options import RemoveMultiOptions # ... other code ... collection = bucket.default_collection() keys = ['doc1', 'doc2', 'doc3'] res = collection.remove_multi(keys, RemoveMultiOptions(return_exceptions=False))
Simple remove_multi operation, individual key options:
from datetime import timedelta from couchbase.options import RemoveMultiOptions, RemoveOptions # ... other code ... collection = bucket.default_collection() keys = ['doc1', 'doc2', 'doc3'] per_key_opts = {'doc1': RemoveOptions(timeout=timedelta(seconds=10))} res = collection.remove_multi(keys, RemoveMultiOptions(per_key_options=per_key_opts))
- replace_multi(keys_and_docs, *opts, **kwargs) MultiMutationResult
For each key, value pair in the provided dict, replaces the value of a document in the collection. This operation fails if the document does not exist.
- Parameters:
keys_and_docs (Dict[str, JSONType]) – The keys and values/docs to use for the multiple replace operations.
opts (
ReplaceMultiOptions
) – Optional parameters for this operation.**kwargs (Dict[str, Any]) – keyword arguments that can be used in place or to override provided
ReplaceMultiOptions
- Returns:
An instance of
MultiMutationResult
.- Return type:
- Raises:
DocumentNotFoundException – If the key provided does not exist on the server and the return_exceptions options is False. Otherwise the exception is returned as a match to the key, but is not raised.
Examples
Simple replace_multi operation:
collection = bucket.default_collection() keys = ['doc1', 'doc2', 'doc3'] res = collection.get_multi(keys) keys_and_docs = {} for k, v in res.results.items(): # assuming document is JSON content = v.content_as[dict] content['foo'] = 'bar' keys_and_docs[k] = content res = collection.replace_multi(keys_and_docs) for k, v in res.results.items(): print(f'Doc replaced: key={k}, cas={v.cas}')
Simple replace_multi operation, raise an Exception if an Exception occurs:
from couchbase.options import ReplaceMultiOptions # ... other code ... collection = bucket.default_collection() keys = ['doc1', 'doc2', 'doc3'] res = collection.get_multi(keys) keys_and_docs = {} for k, v in res.results.items(): # assuming document is JSON content = v.content_as[dict] content['foo'] = 'bar' keys_and_docs[k] = content res = collection.replace_multi(keys_and_docs, ReplaceMultiOptions(return_exceptions=False)) for k, v in res.results.items(): print(f'Doc replaced: key={k}, cas={v.cas}')
Simple replace_multi operation, individual key options:
from datetime import timedelta from couchbase.options import ReplaceMultiOptions, ReplaceOptions # ... other code ... collection = bucket.default_collection() keys = ['doc1', 'doc2', 'doc3'] res = collection.get_multi(keys) keys_and_docs = {} for k, v in res.results.items(): # assuming document is JSON content = v.content_as[dict] content['foo'] = 'bar' keys_and_docs[k] = content per_key_opts = {'doc1': ReplaceOptions(timeout=timedelta(seconds=10))} res = collection.replace_multi(keys_and_docs, ReplaceMultiOptions(per_key_options=per_key_opts)) for k, v in res.results.items(): print(f'Doc replaced: key={k}, cas={v.cas}')
- touch_multi(keys, expiry, *opts, **kwargs) MultiMutationResult
For each key in the provided list, update the expiry on an existing document. This operation fails if the document does not exist.
- Parameters:
keys (List[str]) – The keys to use for the multiple touch operations.
expiry (timedelta) – The new expiry for the document.
opts (
TouchMultiOptions
) – Optional parameters for this operation.**kwargs (Dict[str, Any]) – keyword arguments that can be used in place or to override provided
TouchMultiOptions
- Returns:
An instance of
MultiMutationResult
.- Return type:
- Raises:
DocumentNotFoundException – If the key provided does not exist on the server and the return_exceptions options is False. Otherwise the exception is returned as a match to the key, but is not raised.
- unlock_multi(keys, *opts, **kwargs) Dict[str, None | exception]
For each result in the provided
MultiResultType
in the provided list, unlocks a previously locked document. This operation fails if the document does not exist.- Parameters:
keys (Union[MultiResultType, Dict[str, int]]) – The result from a previous multi operation.
opts (
UnlockMultiOptions
) – Optional parameters for this operation.**kwargs (Dict[str, Any]) – keyword arguments that can be used in place or to override provided
UnlockMultiOptions
- Returns:
Either None if operation successful or an Exception if the operation was unsuccessful
- Return type:
Dict[str, Union[None, CouchbaseBaseException]]
- Raises:
DocumentNotFoundException – If the key provided does not exist on the server and the return_exceptions options is False. Otherwise the exception is returned as a match to the key, but is not raised.
DocumentLockedException – If the provided cas is invalid and the return_exceptions options is False. Otherwise the exception is returned as a match to the key, but is not raised.
- upsert_multi(keys_and_docs, *opts, **kwargs) MultiMutationResult
For each key, value pair in the provided dict, upserts a document to the collection. This operation succeeds whether or not the document already exists.
- Parameters:
keys_and_docs (Dict[str, JSONType]) – The keys and values/docs to use for the multiple upsert operations.
opts (
UpsertMultiOptions
) – Optional parameters for this operation.**kwargs (Dict[str, Any]) – keyword arguments that can be used in place or to override provided
UpsertMultiOptions
- Returns:
An instance of
MultiMutationResult
.- Return type:
Examples
Simple upsert_multi operation:
collection = bucket.default_collection() keys_and_docs = { 'doc1': {'foo': 'bar', 'id': 'doc1'}, 'doc2': {'bar': 'baz', 'id': 'doc2'}, 'doc3': {'baz': 'qux', 'id': 'doc3'}, 'doc4': {'qux': 'quux', 'id': 'doc4'} } res = collection.upsert_multi(keys_and_docs) for k, v in res.results.items(): print(f'Doc upserted: key={k}, cas={v.cas}')
Simple upsert_multi operation, raise an Exception if an Exception occurs:
from couchbase.options import UpsertMultiOptions # ... other code ... collection = bucket.default_collection() keys_and_docs = { 'doc1': {'foo': 'bar', 'id': 'doc1'}, 'doc2': {'bar': 'baz', 'id': 'doc2'}, 'doc3': {'baz': 'qux', 'id': 'doc3'}, 'doc4': {'qux': 'quux', 'id': 'doc4'} } res = collection.upsert_multi(keys_and_docs, UpsertMultiOptions(return_exceptions=False)) for k, v in res.results.items(): print(f'Doc upserted: key={k}, cas={v.cas}')
Simple upsert_multi operation, individual key options:
from datetime import timedelta from couchbase.options import UpsertMultiOptions, UpsertOptions # ... other code ... collection = bucket.default_collection() keys_and_docs = { 'doc1': {'foo': 'bar', 'id': 'doc1'}, 'doc2': {'bar': 'baz', 'id': 'doc2'}, 'doc3': {'baz': 'qux', 'id': 'doc3'}, 'doc4': {'qux': 'quux', 'id': 'doc4'} } per_key_opts = {'doc1': UpsertOptions(timeout=timedelta(seconds=10))} res = collection.upsert_multi(keys_and_docs, UpsertMultiOptions(per_key_options=per_key_opts)) for k, v in res.results.items(): print(f'Doc upserted: key={k}, cas={v.cas}')