CouchDB as the State Database¶
State Database options¶
The current options for the peer state database are LevelDB and CouchDB. LevelDB is the default key-value state database embedded in the peer process. CouchDB is an alternative external state database. Like the LevelDB key-value store, CouchDB can store any binary data that is modeled in chaincode (CouchDB attachments are used internally for non-JSON data). As a document object store, CouchDB allows you to store data in JSON format, issue rich queries against your data, and use indexes to support your queries.
Both LevelDB and CouchDB support core chaincode operations such as getting and setting a key
(asset), and querying based on keys. Keys can be queried by range, and composite keys can be
modeled to enable equivalence queries against multiple parameters. For example a composite
owner,asset_id can be used to query all assets owned by a certain entity. These key-based
queries can be used for read-only queries against the ledger, as well as in transactions that
update the ledger.
Modeling your data in JSON allows you to issue rich queries against the values of your data, instead of only being able to query the keys. This makes it easier for your applications and chaincode to read the data stored on the blockchain ledger. Using CouchDB can help you meet auditing and reporting requirements for many use cases that are not supported by LevelDB. If you use CouchDB and model your data in JSON, you can also deploy indexes with your chaincode. Using indexes makes queries more flexible and efficient and enables you to query large datasets from chaincode.
CouchDB runs as a separate database process alongside the peer, therefore there are additional considerations in terms of setup, management, and operations. You may consider starting with the default embedded LevelDB, and move to CouchDB if you require the additional complex rich queries. It is a good practice to model asset data as JSON, so that you have the option to perform complex rich queries if needed in the future.
The key for a CouchDB JSON document can only contain valid UTF-8 strings and cannot begin with an underscore (“_”). Whether you are using CouchDB or LevelDB, you should avoid using U+0000 (nil byte) in keys.
JSON documents in CouchDB cannot use the following values as top level field names. These values are reserved for internal use.
Any field beginning with an underscore, "_"
Using CouchDB from Chaincode¶
Most of the chaincode shim APIs
can be utilized with either LevelDB or CouchDB state database, e.g.
GetStateByPartialCompositeKey. Additionally when you utilize CouchDB as
the state database and model assets as JSON in chaincode, you can perform rich queries against
the JSON in the state database by using the
GetQueryResult API and passing a CouchDB query string.
The query string follows the CouchDB JSON query syntax.
The marbles02 fabric sample
demonstrates use of CouchDB queries from chaincode. It includes a
that demonstrates parameterized queries by passing an owner id into chaincode. It then queries the
state data for JSON documents matching the docType of “marble” and the owner id using the JSON query
The responses to rich queries are useful for understanding the data on the ledger. However, there is no guarantee that the result set for a rich query will be stable between the chaincode execution and commit time. As a result, you should not use a rich query and update the channel ledger in a single transaction. For example, if you perform a rich query for all assets owned by Alice and transfer them to Bob, a new asset may be assigned to Alice by another transaction between chaincode execution time and commit time.
Fabric supports paging of query results for rich queries and range based queries.
APIs supporting pagination allow the use of page size and bookmarks to be used for
both range and rich queries. To support efficient pagination, the Fabric
pagination APIs must be used. Specifically, the CouchDB
limit keyword will
not be honored in CouchDB queries since Fabric itself manages the pagination of
query results and implicitly sets the pageSize limit that is passed to CouchDB.
If a pageSize is specified using the paginated query APIs (
a set of results (bound by the pageSize) will be returned to the chaincode along with
a bookmark. The bookmark can be returned from chaincode to invoking clients,
which can use the bookmark in a follow on query to receive the next “page” of results.
The pagination APIs are for use in read-only transactions only, the query results are intended to support client paging requirements. For transactions that need to read and write, use the non-paginated chaincode query APIs. Within chaincode you can iterate through result sets to your desired depth.
Regardless of whether the pagination APIs are utilized, all chaincode queries are
totalQueryLimit (default 100000) from
core.yaml. This is the maximum
number of results that chaincode will iterate through and return to the client,
in order to avoid accidental or malicious long-running queries.
Regardless of whether chaincode uses paginated queries or not, the peer will
query CouchDB in batches based on
internalQueryLimit (default 1000)
core.yaml. This behavior ensures reasonably sized result sets are
passed between the peer and CouchDB when executing chaincode, and is
transparent to chaincode and the calling client.
An example using pagination is included in the Using CouchDB tutorial.
Indexes in CouchDB are required in order to make JSON queries efficient and are required for
any JSON query with a sort. Indexes enable you to query data from chaincode when you have
a large amount of data on your ledger. Indexes can be packaged alongside chaincode
/META-INF/statedb/couchdb/indexes directory. Each index must be defined in
its own text file with extension
*.json with the index definition formatted in JSON
following the CouchDB index JSON syntax.
For example, to support the above marble query, a sample index on the
fields is provided:
The sample index can be found here.
Any index in the chaincode’s
will be packaged up with the chaincode for deployment. The index will be deployed
to a peers channel and chaincode specific database when the chaincode package is
installed on the peer and the chaincode definition is committed to the channel. If you
install the chaincode first and then commit the chaincode definition to the
channel, the index will be deployed at commit time. If the chaincode has already
been defined on the channel and the chaincode package subsequently installed on
a peer joined to the channel, the index will be deployed at chaincode
Upon deployment, the index will automatically be utilized by chaincode queries. CouchDB can automatically
determine which index to use based on the fields being used in a query. Alternatively, in the
selector query the index can be specified using the
The same index may exist in subsequent versions of the chaincode that gets installed. To change the index, use the same index name but alter the index definition. Upon installation/instantiation, the index definition will get re-deployed to the peer’s state database.
If you have a large volume of data already, and later install the chaincode, the index creation upon installation may take some time. Similarly, if you have a large volume of data already and commit the definition of a subsequent chaincode version, the index creation may take some time. Avoid calling chaincode functions that query the state database at these times as the chaincode query may time out while the index is getting initialized. During transaction processing, the indexes will automatically get refreshed as blocks are committed to the ledger. If the peer crashes during chaincode installation, the couchdb indexes may not get created. If this occurs, you need to reinstall the chaincode to create the indexes.
CouchDB is enabled as the state database by changing the
stateDatabase configuration option from
goleveldb to CouchDB. Additionally, the
couchDBAddress needs to configured to point to the
CouchDB to be used by the peer. The username and password properties should be populated with
an admin username and password if CouchDB is configured with a username and password. Additional
options are provided in the
couchDBConfig section and are documented in place. Changes to the
core.yaml will be effective immediately after restarting the peer.
You can also pass in docker environment variables to override core.yaml values, for example
Below is the
stateDatabase section from core.yaml:
state: # stateDatabase - options are "goleveldb", "CouchDB" # goleveldb - default state database stored in goleveldb. # CouchDB - store state database in CouchDB stateDatabase: goleveldb # Limit on the number of records to return per query totalQueryLimit: 10000 couchDBConfig: # It is recommended to run CouchDB on the same server as the peer, and # not map the CouchDB container port to a server port in docker-compose. # Otherwise proper security must be provided on the connection between # CouchDB client (on the peer) and server. couchDBAddress: couchdb:5984 # This username must have read and write authority on CouchDB username: # The password is recommended to pass as an environment variable # during start up (e.g. LEDGER_COUCHDBCONFIG_PASSWORD). # If it is stored here, the file must be access control protected # to prevent unintended users from discovering the password. password: # Number of retries for CouchDB errors maxRetries: 3 # Number of retries for CouchDB errors during peer startup maxRetriesOnStartup: 10 # CouchDB request timeout (unit: duration, e.g. 20s) requestTimeout: 35s # Limit on the number of records per each CouchDB query # Note that chaincode queries are only bound by totalQueryLimit. # Internally the chaincode may execute multiple CouchDB queries, # each of size internalQueryLimit. internalQueryLimit: 1000 # Limit on the number of records per CouchDB bulk update batch maxBatchUpdateSize: 1000 # Warm indexes after every N blocks. # This option warms any indexes that have been # deployed to CouchDB after every N blocks. # A value of 1 will warm indexes after every block commit, # to ensure fast selector queries. # Increasing the value may improve write efficiency of peer and CouchDB, # but may degrade query response time. warmIndexesAfterNBlocks: 1
CouchDB hosted in docker containers supplied with Hyperledger Fabric have the
capability of setting the CouchDB username and password with environment
variables passed in with the
variables using Docker Compose scripting.
For CouchDB installations outside of the docker images supplied with Fabric, the local.ini file of that installation must be edited to set the admin username and password.
Docker compose scripts only set the username and password at the creation of the container. The local.ini file must be edited if the username or password is to be changed after creation of the container.
If you choose to map the fabric-couchdb container port to a host port, make sure you are aware of the security implications. Mapping the CouchDB container port in a development environment exposes the CouchDB REST API and allows you to visualize the database via the CouchDB web interface (Fauxton). In a production environment you should refrain from mapping the host port to restrict access to the CouchDB container. Only the peer will be able to access the CouchDB container.
CouchDB peer options are read on each peer startup.
Good practices for queries¶
Avoid using chaincode for queries that will result in a scan of the entire CouchDB database. Full length database scans will result in long response times and will degrade the performance of your network. You can take some of the following steps to avoid long queries:
When using JSON queries:
- Be sure to create indexes in the chaincode package.
- Avoid query operators such as
$regex, which lead to full database scans.
For range queries, composite key queries, and JSON queries:
- Utilize paging support instead of one large result set.
If you want to build a dashboard or collect aggregate data as part of your application, you can query an off-chain database that replicates the data from your blockchain network. This will allow you to query and analyze the blockchain data in a data store optimized for your needs, without degrading the performance of your network or disrupting transactions. To achieve this, applications may use block or chaincode events to write transaction data to an off-chain database or analytics engine. For each block received, the block listener application would iterate through the block transactions and build a data store using the key/value writes from each valid transaction’s
rwset. The Peer channel-based event services provide replayable events to ensure the integrity of downstream data stores.