ScalarDB Cluster Configurations
This document describes the configurations for ScalarDB Cluster. ScalarDB Cluster consists of multiple cluster nodes, each of which needs to be configured. The configurations need to be specified in the properties file.
Cluster configurations​
This section describes the configurations for ScalarDB Cluster.
General configurations​
The following general configurations are available for ScalarDB Cluster.
Transaction management configurations​
| Name | Description | Default |
|---|---|---|
scalar.db.transaction_manager | Transaction manager of ScalarDB. Specify consensus-commit to use Consensus Commit. | consensus-commit |
scalar.db.consensus_commit.isolation_level | Isolation level used for Consensus Commit. Either SNAPSHOT, SERIALIZABLE, or READ_COMMITTED can be specified. | SNAPSHOT |
scalar.db.consensus_commit.coordinator.namespace | Namespace name of Coordinator tables used for Consensus Commit. | coordinator |
Node configurations​
| Name | Description 　 | Default |
|---|---|---|
scalar.db.cluster.membership.type | Membership type. Currently, only KUBERNETES can be specified. | KUBERNETES |
scalar.db.cluster.membership.kubernetes.endpoint.namespace_name | This configuration is for the KUBERNETES membership type. Namespace name for the endpoint resource. | default |
scalar.db.cluster.membership.kubernetes.endpoint.name | This configuration is for the KUBERNETES membership type. Name of the endpoint resource to get the membership info. | |
scalar.db.cluster.node.decommissioning_duration_secs | Decommissioning duration in seconds. | 30 |
scalar.db.cluster.node.grpc.max_inbound_message_size | Maximum message size allowed to be received. | The gRPC default value |
scalar.db.cluster.node.grpc.max_inbound_metadata_size | Maximum size of metadata allowed to be received. | The gRPC default value |
scalar.db.cluster.node.port | Port number of the ScalarDB Cluster node. | 60053 |
scalar.db.cluster.node.prometheus_exporter_port | Port number of the Prometheus exporter. | 9080 |
scalar.db.cluster.grpc.deadline_duration_millis | Deadline duration for gRPC in milliseconds. | 60000 (60 seconds) |
scalar.db.cluster.node.standalone_mode.enabled | Whether standalone mode is enabled. Note that if standalone mode is enabled, the membership configurations (scalar.db.cluster.membership.*) will be ignored. | false |
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. This number refers to the total number of threads across transactions in a ScalarDB Cluster node or a ScalarDB process. | 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 |
scalar.db.consensus_commit.parallel_implicit_pre_read.enabled | Whether or not implicit pre-read is executed in parallel. | true |
Storage-related configurations​
ScalarDB has a storage (database) abstraction layer that supports multiple storage implementations. You can specify the storage implementation by using the scalar.db.storage property.
Select a database to see the configurations available for each storage.
- JDBC databases
- DynamoDB
- Cosmos DB for NoSQL
- Cassandra
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. | 200 |
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.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 |
If you're using SQLite3 as a JDBC database, you must set scalar.db.contact_points as follows:
scalar.db.contact_points=jdbc:sqlite:<SQLITE_DB_FILE_PATH>?busy_timeout=10000
Unlike other JDBC databases, SQLite3 doesn't fully support concurrent access.
To avoid frequent errors caused internally by SQLITE_BUSY, we recommend setting a busy_timeout parameter.
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.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 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.consistency_level | Consistency level used for Cosmos DB operations. STRONG or BOUNDED_STALENESS can be specified. | STRONG |
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. |
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.
Cross-partition scan configurations​
By enabling the cross-partition scan option as described below, the Scan operation can retrieve all records across partitions. In addition, you can specify arbitrary conditions and orderings in the cross-partition Scan operation by enabling cross_partition_scan.filtering and cross_partition_scan.ordering, respectively. Currently, the cross-partition scan with ordering option is available only for JDBC databases. To enable filtering and ordering, scalar.db.cross_partition_scan.enabled must be set to true.
For details on how to use cross-partition scan, see Scan operation.
For non-JDBC databases, we do not recommend enabling cross-partition scan with the SERIALIAZABLE isolation level because transactions could be executed at a lower isolation level (that is, SNAPSHOT). When using non-JDBC databases, use cross-partition scan at your own risk only if consistency does not matter for your transactions.
| Name | Description | Default |
|---|---|---|
scalar.db.cross_partition_scan.enabled | Enable cross-partition scan. | false |
scalar.db.cross_partition_scan.filtering.enabled | Enable filtering in cross-partition scan. | false |
scalar.db.cross_partition_scan.ordering.enabled | Enable ordering in cross-partition scan. | false |
GraphQL-related configurations​
The configurations for ScalarDB Cluster GraphQL are as follows:
| Name | Description | Default |
|---|---|---|
scalar.db.graphql.enabled | Whether ScalarDB Cluster GraphQL is enabled. | false |
scalar.db.graphql.port | Port number of the GraphQL server. | 8080 |
scalar.db.graphql.path | Path component of the URL of the GraphQL endpoint. | /graphql |
scalar.db.graphql.namespaces | Comma-separated list of namespaces of tables for which the GraphQL server generates a schema. Note that at least one namespace is required. | |
scalar.db.graphql.graphiql | Whether the GraphQL server serves GraphiQL IDE. | true |
scalar.db.graphql.schema_checking_interval_millis | Interval in milliseconds at which GraphQL server will rebuild the GraphQL schema if any change is detected in the ScalarDB schema. | 30000 (30 seconds) |
Creating or modifying the ScalarDB schema when the server is running​
Since the GraphQL schema is statically built at server startup, if the ScalarDB schema is modified (for example, if a table is added, altered, or deleted), then the corresponding GraphQL schema won't reflect the changes unless it is rebuilt. To address this, the GraphQL server provides two mechanisms: a periodic check and an on-demand check.
Run periodic checks​
The server periodically checks if changes in the ScalarDB schema occur and rebuilds the corresponding GraphQL schema if necessary. By default, the check occurs every 30 seconds, but the interval can be configured by using the scalar.db.graphql.schema_checking_interval_millis property.
If you don't need to run periodic checks, you can disable it by setting the property value to -1.
Run on-demand checks​
You can also request the server to check changes in the ScalarDB schema and rebuild the corresponding GraphQL schema if necessary by performing a POST request to the /update-graphql-schema endpoint of the HTTP API.
For example, if the HTTP API is running on localhost:8080 and the scalar.db.graphql.path property is set to /graphql, this endpoint can be called by running the following command:
curl -X POST http://localhost:8080/graphql/update-graphql-schema
SQL-related configurations​
The configurations for ScalarDB Cluster SQL are as follows:
| Name | Description | Default |
|---|---|---|
scalar.db.sql.enabled | Whether ScalarDB Cluster SQL is enabled. | false |
scalar.db.sql.statement_cache.enabled | Enable the statement cache. | false |
scalar.db.sql.statement_cache.size | Maximum number of cached statements. | 100 |
scalar.db.sql.default_transaction_mode | Default transaction mode. TRANSACTION or TWO_PHASE_COMMIT_TRANSACTION can be set. | TRANSACTION |
scalar.db.sql.default_namespace_name | Default namespace name. If you don't specify a namespace name in your SQL statement, this value is used. |
Other ScalarDB Cluster configurations​
The following are additional configurations available for ScalarDB Cluster:
| 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. If you specify -1, the cache will never expire. | 60 |
scalar.db.active_transaction_management.expiration_time_millis | ScalarDB maintains in-progress transactions, which can be resumed by using a transaction ID. This process expires transactions that have been idle for an extended period to prevent resource leaks. This setting specifies the expiration time of this transaction management feature in milliseconds. | 60000 (60 seconds) |
scalar.db.consensus_commit.include_metadata.enabled | When using Consensus Commit, if this is set to true, Get and Scan operations results will contain transaction metadata. To see the transaction metadata columns details for a given table, you can use the DistributedTransactionAdmin.getTableMetadata() method, which will return the table metadata augmented with the transaction metadata columns. Using this configuration can be useful to investigate transaction-related issues. | false |
scalar.db.default_namespace_name | The given namespace name will be used by operations that do not already specify a namespace. |
Client configurations​
This section describes the general configurations for the ScalarDB Cluster client.
Configurations for the primitive interface​
The following table shows the general configurations for the ScalarDB Cluster client.
| Name | Description | Default |
|---|---|---|
scalar.db.transaction_manager | cluster should be specified. | - |
scalar.db.contact_points | Contact point of the cluster. If you use the indirect client mode, specify the IP address of the load balancer in front of your cluster nodes by using the format indirect:<the load balancer IP address>. If you use the direct-kubernetes client mode, specify the namespace name (optional) and the name of the endpoint resource to get the membership information by using the format direct-kubernetes:<namespace name>/<endpoint name> or just direct-kubernetes:<endpoint name>. If you don't specify the namespace name, the client will use the default namespace. | |
scalar.db.contact_port | Port number for the contact point. | 60053 |
scalar.db.cluster.grpc.deadline_duration_millis | Deadline duration for gRPC in millis. | 60000 (60 seconds) |
scalar.db.cluster.grpc.max_inbound_message_size | Maximum message size allowed for a single gRPC frame. | The gRPC default value |
scalar.db.cluster.grpc.max_inbound_metadata_size | Maximum size of metadata allowed to be received. | The gRPC default value |
For example, if you use the indirect client mode and the load balancer IP address is 192.168.10.1, you can configure the client as follows:
scalar.db.transaction_manager=cluster
scalar.db.contact_points=indirect:192.168.10.1
Or if you use the direct-kubernetes client mode, with the namespace of the endpoint as ns and the endpoint name as scalardb-cluster, you can configure the client as follows:
scalar.db.transaction_manager=cluster
scalar.db.contact_points=direct-kubernetes:ns/scalardb-cluster
Configurations for the SQL interface​
The following table shows the configurations for the ScalarDB Cluster SQL client.
| Name | Description | Default |
|---|---|---|
scalar.db.sql.connection_mode | cluster should be specified. | - |
scalar.db.sql.cluster_mode.contact_points | Contact point of the cluster. If you use the indirect client mode, specify the IP address of the load balancer in front of your cluster nodes by using the format indirect:<the load balancer IP address>. If you use the direct-kubernetes client mode, specify the namespace name (optional) and the name of the endpoint resource to get the membership information by using the format direct-kubernetes:<namespace name>/<endpoint name> or just direct-kubernetes:<endpoint name>. If you don't specify the namespace name, the client will use the default namespace. | |
scalar.db.sql.cluster_mode.contact_port | Port number for the contact point. | 60053 |
scalar.db.sql.default_transaction_mode | Default transaction mode. TRANSACTION or TWO_PHASE_COMMIT_TRANSACTION can be set. | TRANSACTION |
scalar.db.sql.default_namespace_name | Default namespace name. If you don't specify a namespace name in your SQL statement, this value is used. | |
scalar.db.cluster.grpc.deadline_duration_millis | Deadline duration for gRPC in millis. | 60000 (60 seconds) |
scalar.db.cluster.grpc.max_inbound_message_size | Maximum message size allowed for a single gRPC frame. | The gRPC default value |
scalar.db.cluster.grpc.max_inbound_metadata_size | Maximum size of metadata allowed to be received. | The gRPC default value |
For example, if you use the indirect client mode and the load balancer IP address is 192.168.10.1, you can configure the client as follows:
scalar.db.sql.connection_mode=cluster
scalar.db.sql.cluster_mode.contact_points=indirect:192.168.10.1
Or if you use the direct-kubernetes client mode, with the namespace of the endpoint as ns and the endpoint name as scalardb-cluster, you can configure the client as follows:
scalar.db.sql.connection_mode=cluster
scalar.db.sql.cluster_mode.contact_points=direct-kubernetes:ns/scalardb-cluster
For details about how to configure ScalarDB JDBC, see JDBC connection URL.
For details about how to configure Spring Data JDBC for ScalarDB, see Configurations.
Configuration example - App, ScalarDB Cluster, 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 Cluster, which is a component that is available only in the ScalarDB Enterprise edition.
This configuration is acceptable for production use because ScalarDB Cluster implements the Scalar Admin interface, which enables you to take transactionally consistent backups for ScalarDB by pausing ScalarDB Cluster.
The following is an example of the configuration for connecting the app to the underlying database through ScalarDB Cluster:
# Transaction manager implementation.
scalar.db.transaction_manager=cluster
# Contact point of the cluster.
scalar.db.contact_points=indirect:<SCALARDB_CLUSTER_CONTACT_POINT>
For details about client configurations, see the ScalarDB Cluster client configurations.