• Glossary
  • Support
  • Downloads
  • DataStax Home
Get Live Help
Expand All
Collapse All

Developing applications with DataStax drivers

    • Getting started
    • Overview
      • Authentication in DataStax drivers
      • Best practices
      • Driver metrics
    • Connecting
      • Client errors
      • Connecting to DataStax Astra databases
      • Connecting to the database
      • Connection pooling
      • Error handling
      • Reconnection policies
      • Retry policies
      • Server errors
      • Using SSL in DataStax drivers
    • Managing
      • Load balancing with DataStax drivers
      • Using DSE Search with the DataStax drivers
      • Guided code experience examples
      • Managing concurrency in asynchronous query execution
      • Result paging with DataStax drivers
    • Developing
      • Submitting DSE Graph queries with the DataStax drivers
      • Execution profiles
      • Working with multi-workload clusters
      • Object mappers in DSE drivers
      • Submitting queries
      • Query idempotence
      • Query timestamps
      • Speculative query execution
      • Synchronous and asynchronous query execution
  • Developing applications with DataStax drivers
  • Developing
  • Submitting queries

Submitting queries with DataStax drivers

The ability to submit queries and receive results is the core functionality of DataStax drivers.

Working with multi-workload clusters

The DataStax drivers can query clusters with different workload types.

Using DSE Search with the DataStax drivers

The DataStax drivers allow developers to perform DSE Search queries in their applications.

Submitting DSE Graph queries with the DataStax drivers

The DataStax drivers expose the String API and Fluent API for executing DSE Graph traversals.

Result paging with DataStax drivers

Large result sets can be divided into multiple pages that the client will fetch in separate network requests.

Synchronous and asynchronous query execution

Queries can be executed against the database synchronously or asynchronously.

Managing concurrency in asynchronous query execution

The DataStax drivers support sending multiple concurrent requests on a single connection to improve overall query performance.

Speculative query execution

Speculative queries are used to preemptively start a second execution of a query against another node, before the first node has replied or returned an error.

Query idempotence

A CQL query is idempotent if it can be applied multiple times without changing the result of the initial application.

Driver metrics

DataStax drivers expose metrics through different libraries and APIs depending on the language.

Object mappers in DSE drivers

The C#, Java, Node.js and Python drivers each provide an object mapper, which are tools for managing query results.

Query timestamps

Timestamps determine the order of precedence for operations on the same column value from different queries.

Object mappers in DSE drivers Query idempotence

General Inquiries: +1 (650) 389-6000 info@datastax.com

© DataStax | Privacy policy | Terms of use

DataStax, Titan, and TitanDB are registered trademarks of DataStax, Inc. and its subsidiaries in the United States and/or other countries.

Apache, Apache Cassandra, Cassandra, Apache Tomcat, Tomcat, Apache Lucene, Apache Solr, Apache Hadoop, Hadoop, Apache Pulsar, Pulsar, Apache Spark, Spark, Apache TinkerPop, TinkerPop, Apache Kafka and Kafka are either registered trademarks or trademarks of the Apache Software Foundation or its subsidiaries in Canada, the United States and/or other countries.

Kubernetes is the registered trademark of the Linux Foundation.

landing_page landingpage