Question 1

How to do batch inserts with clickhouse-cpp?

Accepted Answer

Use the BeginInsert, SendInsertBlock, and EndInsert methods to manage batches efficiently. The README provides a clear example in the Batch Insertion section, showing how to append data and send blocks incrementally to avoid memory inflation.

Question 2

Is clickhouse-cpp thread-safe for concurrent queries?

Accepted Answer

No, the Client instance is not thread-safe. You need to create separate Client instances for each thread or implement synchronization, as warned in the Thread-safety section of the README.

Question 3

clickhouse-cpp vs Python clickhouse-driver: which is better for performance?

Accepted Answer

clickhouse-cpp offers native C++ performance and direct integration, ideal for high-throughput C++ apps, while clickhouse-driver is better for Python ecosystems. C++ clients generally have lower overhead but require more setup and C++ expertise.

Question 4

How to set up asynchronous inserts in clickhouse-cpp?

Accepted Answer

Configure asynchronous inserts by adding SETTINGS clauses to INSERT queries or using Query.SetSetting, as detailed in the Asynchronous inserts section. Note that settings like async_insert and wait_for_async_insert vary by ClickHouse server version.

Question 5

What dependencies are needed to build clickhouse-cpp on Windows?

Accepted Answer

You need a C++17 compiler, cmake, and optionally openssl and other libs. Refer to the Windows MSVC and mingw workflows in the README for specific build options and dependency management on different Windows environments.

Question 6

How to handle query retries with clickhouse-cpp?

Accepted Answer

Implement retry logic by calling Client::ResetConnection() after exceptions and reusing blocks for Insert operations, as suggested in the Retries section of the README to simplify error recovery.

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