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Developing applications with DataStax drivers

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

Execution profiles Working with multi-workload clusters

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