ScalarDB Configurations
This page describes the available configurations for ScalarDB.
ScalarDB client configurations
ScalarDB provides its own transaction protocol called Consensus Commit. You can use the Consensus Commit protocol directly through the ScalarDB client library or through the gRPC-based ScalarDB Server, which is a daemon process that manages ScalarDB transactions.
Use Consensus Commit directly
Consensus Commit is the default transaction manager type in ScalarDB. To use the Consensus Commit transaction manager, add the following to the ScalarDB properties file:
scalar.db.transaction_manager=consensus-commit
If you don't specify the scalar.db.transaction_manager property, consensus-commit will be the default value.
Basic configurations
The following basic configurations are available for the Consensus Commit transaction manager:
| Name | Description | Default |
|---|---|---|
scalar.db.transaction_manager | consensus-commit should be specified. | - |
scalar.db.consensus_commit.isolation_level | Isolation level used for Consensus Commit. Either SNAPSHOT or SERIALIZABLE can be specified. | SNAPSHOT |
scalar.db.consensus_commit.serializable_strategy | Serializable strategy used for Consensus Commit. Either EXTRA_READ or EXTRA_WRITE can be specified. If SNAPSHOT is specified in the property scalar.db.consensus_commit.isolation_level, this configuration will be ignored. | EXTRA_READ |
scalar.db.consensus_commit.coordinator.namespace | Namespace name of Coordinator tables. | coordinator |
Performance-related configurations
The following performance-related configurations are available for the Consensus Commit transaction manager:
| Name | Description | Default |
|---|---|---|
scalar.db.consensus_commit.parallel_executor_count | Number of executors (threads) for parallel execution. | 128 |
scalar.db.consensus_commit.parallel_preparation.enabled | Whether or not the preparation phase is executed in parallel. | true |
scalar.db.consensus_commit.parallel_validation.enabled | Whether or not the validation phase (in EXTRA_READ) is executed in parallel. | The value of scalar.db.consensus_commit.parallel_commit.enabled |
scalar.db.consensus_commit.parallel_commit.enabled | Whether or not the commit phase is executed in parallel. | true |
scalar.db.consensus_commit.parallel_rollback.enabled | Whether or not the rollback phase is executed in parallel. | The value of scalar.db.consensus_commit.parallel_commit.enabled |
scalar.db.consensus_commit.async_commit.enabled | Whether or not the commit phase is executed asynchronously. | false |
scalar.db.consensus_commit.async_rollback.enabled | Whether or not the rollback phase is executed asynchronously. | The value of scalar.db.consensus_commit.async_commit.enabled |
Underlying storage or database configurations
Consensus Commit has a storage abstraction layer and supports multiple underlying storages. You can specify the storage implementation by using the scalar.db.storage property.
Select a database to see the configurations available for each storage.
- Cassandra
- Cosmos DB for NoSQL
- DynamoDB
- JDBC databases
The following configurations are available for Cassandra:
| Name | Description | Default |
|---|---|---|
scalar.db.storage | cassandra must be specified. | - |
scalar.db.contact_points | Comma-separated contact points. | |
scalar.db.contact_port | Port number for all the contact points. | |
scalar.db.username | Username to access the database. | |
scalar.db.password | Password to access the database. |
The following configurations are available for CosmosDB for NoSQL:
| Name | Description | Default |
|---|---|---|
scalar.db.storage | cosmos must be specified. | - |
scalar.db.contact_points | Azure Cosmos DB for NoSQL endpoint with which ScalarDB should communicate. | |
scalar.db.password | Either a master or read-only key used to perform authentication for accessing Azure Cosmos DB for NoSQL. | |
scalar.db.cosmos.table_metadata.database | Database name for the table metadata used for ScalarDB. | scalardb |
The following configurations are available for DynamoDB:
| Name | Description | Default |
|---|---|---|
scalar.db.storage | dynamo must be specified. | - |
scalar.db.contact_points | AWS region with which ScalarDB should communicate (e.g., us-east-1). | |
scalar.db.username | AWS access key used to identify the user interacting with AWS. | |
scalar.db.password | AWS secret access key used to authenticate the user interacting with AWS. | |
scalar.db.dynamo.endpoint_override | Amazon DynamoDB endpoint with which ScalarDB should communicate. This is primarily used for testing with a local instance instead of an AWS service. | |
scalar.db.dynamo.table_metadata.namespace | Namespace name for the table metadata used for ScalarDB. | scalardb |
scalar.db.dynamo.namespace.prefix | Prefix for the user namespaces and metadata namespace names. Since AWS requires having unique tables names in a single AWS region, this is useful if you want to use multiple ScalarDB environments (development, production, etc.) in a single AWS region. |
The following configurations are available for JDBC databases:
| Name | Description | Default |
|---|---|---|
scalar.db.storage | jdbc must be specified. | - |
scalar.db.contact_points | JDBC connection URL. | |
scalar.db.username | Username to access the database. | |
scalar.db.password | Password to access the database. | |
scalar.db.jdbc.connection_pool.min_idle | Minimum number of idle connections in the connection pool. | 20 |
scalar.db.jdbc.connection_pool.max_idle | Maximum number of connections that can remain idle in the connection pool. | 50 |
scalar.db.jdbc.connection_pool.max_total | Maximum total number of idle and borrowed connections that can be active at the same time for the connection pool. Use a negative value for no limit. | 100 |
scalar.db.jdbc.prepared_statements_pool.enabled | Setting this property to true enables prepared-statement pooling. | false |
scalar.db.jdbc.prepared_statements_pool.max_open | Maximum number of open statements that can be allocated from the statement pool at the same time. Use a negative value for no limit. | -1 |
scalar.db.jdbc.isolation_level | Isolation level for JDBC. READ_UNCOMMITTED, READ_COMMITTED, REPEATABLE_READ, or SERIALIZABLE can be specified. | Underlying-database specific |
scalar.db.jdbc.table_metadata.schema | Schema name for the table metadata used for ScalarDB. | scalardb |
scalar.db.jdbc.table_metadata.connection_pool.min_idle | Minimum number of idle connections in the connection pool for the table metadata. | 5 |
scalar.db.jdbc.table_metadata.connection_pool.max_idle | Maximum number of connections that can remain idle in the connection pool for the table metadata. | 10 |
scalar.db.jdbc.table_metadata.connection_pool.max_total | Maximum total number of idle and borrowed connections that can be active at the same time for the connection pool for the table metadata. Use a negative value for no limit. | 25 |
scalar.db.jdbc.admin.connection_pool.min_idle | Minimum number of idle connections in the connection pool for admin. | 5 |
scalar.db.jdbc.admin.connection_pool.max_idle | Maximum number of connections that can remain idle in the connection pool for admin. | 10 |
scalar.db.jdbc.admin.connection_pool.max_total | Maximum total number of idle and borrowed connections that can be active at the same time for the connection pool for admin. Use a negative value for no limit. | 25 |
Multi-storage support
ScalarDB supports using multiple storage implementations simultaneously. You can use multiple storages by specifying multi-storage as the value for the scalar.db.storage property.
For details about using multiple storages, see Multi-Storage Transactions.
Use Consensus Commit through ScalarDB Server
ScalarDB Server is a standalone server that provides a gRPC interface to ScalarDB. To interact with ScalarDB Server, you must add the following to the ScalarDB properties file:
scalar.db.transaction_manager=grpc
The following configurations are available for the gRPC transaction manager for ScalarDB Server:
| Name | Description | Default |
|---|---|---|
scalar.db.transaction_manager | grpc should be specified. | - |
scalar.db.contact_points | ScalarDB Server host. | |
scalar.db.contact_port | Port number for ScalarDB Server. | 60051 |
scalar.db.grpc.deadline_duration_millis | The deadline duration for gRPC connections in milliseconds. | 60000 (60 seconds) |
scalar.db.grpc.max_inbound_message_size | The maximum message size allowed for a single gRPC frame. | The gRPC default value. |
scalar.db.grpc.max_inbound_metadata_size | The maximum size of metadata allowed to be received. | The gRPC default value. |
For details about ScalarDB Server, see ScalarDB Server.
ScalarDB Server configurations
ScalarDB Server is a standalone server that provides a gRPC interface to ScalarDB. This section explains ScalarDB Server configurations.
In addition to the configurations when using Consensus Commit directly and other ScalarDB configurations, the following configurations are available for ScalarDB Server:
| Name | Description | Default |
|---|---|---|
scalar.db.server.port | Port number for ScalarDB Server. | 60051 |
scalar.db.server.prometheus_exporter_port | Prometheus exporter port. Prometheus exporter will not be started if a negative number is given. | 8080 |
scalar.db.server.grpc.max_inbound_message_size | The maximum message size allowed to be received. | The gRPC default value. |
scalar.db.server.grpc.max_inbound_metadata_size | The maximum size of metadata allowed to be received. | The gRPC default value. |
For details about ScalarDB Server, see ScalarDB Server.
Other ScalarDB configurations
The following are additional configurations available for ScalarDB:
| Name | Description | Default |
|---|---|---|
scalar.db.metadata.cache_expiration_time_secs | ScalarDB has a metadata cache to reduce the number of requests to the database. This setting specifies the expiration time of the cache in seconds. | -1 (no expiration) |
Configuration examples
This section provides some configuration examples.
Configuration example #1 - App and database
In this example configuration, the app (ScalarDB library with Consensus Commit) connects to an underlying storage or database (in this case, Cassandra) directly.
This configuration exists only for development purposes and isn’t suitable for a production environment. This is because the app needs to implement the Scalar Admin interface to take transactionally consistent backups for ScalarDB, which requires additional configurations.
The following is an example of the configuration for connecting the app to the underlying database through ScalarDB:
# Transaction manager implementation.
scalar.db.transaction_manager=consensus-commit
# Storage implementation.
scalar.db.storage=cassandra
# Comma-separated contact points.
scalar.db.contact_points=<CASSANDRA_HOST>
# Credential information to access the database.
scalar.db.username=<USERNAME>
scalar.db.password=<PASSWORD>
Configuration example #2 - App, ScalarDB Server, and database
In this example configuration, the app (ScalarDB library with gRPC) connects to an underlying storage or database (in this case, Cassandra) through ScalarDB Server.
This configuration is acceptable for production use because ScalarDB Server implements the Scalar Admin interface, which enables you to take transactionally consistent backups for ScalarDB by pausing ScalarDB Server.
The following is an example of the configuration for connecting the app to the underlying database through ScalarDB Server:
# Transaction manager implementation.
scalar.db.transaction_manager=grpc
# ScalarDB Server host.
scalar.db.contact_points=<SCALARDB_SERVER_HOST>
# ScalarDB Server port.
scalar.db.contact_port=<SCALARDB_SERVER_PORT>