Results of 1 - 5 of about 5 for interchange (0.001 sec.)
- Java (JDBC) Client 11141
- Installation To use the DuckDB Java (JDBC) client, visit the Java installation page . The latest stable version of the DuckDB Java (JDBC) client is 2.0.0. The DuckDB Java (JDBC) client lets Java applications query DuckDB through the standar
...d JDBC API, extended with DuckDB-specific features for bulk loading, Apache Arrow interchange, user-defined functions, and profiling, and can open a DuckLake catalog directly from the JDBC URL. The driver also suppor...s nested types. Import Data — bulk-loading data with the Appender and the JDBC batch writer. Handle Results — Apache Arrow interchange, result streaming, and chunked results. Deploy as Native Image — building standalone executables with GraalVM Native Image... - https://man.mtool.work/duckdb/2.0/clients/java/overview.html
- JSON Overview 11141
- DuckDB supports SQL functions that are useful for reading values from existing JSON and creating new JSON data. JSON is supported with the json extension which is shipped with most DuckDB distributions and is auto-loaded on first use. If yo
...d it manually, please consult the “Installing and Loading” page . About JSON JSON is an open standard file format and data interchange format that uses human-readable text to store and transmit data objects consisting of attribute–value pairs and arrays (or...alizable values). While it is not a very efficient format for tabular data, it is very commonly used, especially as a data interchange format. JSONPath and JSON Pointer Syntax DuckDB implements multiple interfaces for JSON extraction: JSONPath and JSON Poin... - https://man.mtool.work/duckdb/2.0/data/json/overview.html
- Rust Client 9560
- Installation To use the DuckDB Rust client, visit the Rust installation page . The latest stable version of the DuckDB Rust client is 2.0.0. The DuckDB Rust client, duckdb-rs , is an ergonomic wrapper over the DuckDB C API that exposes an i
...nterface modeled on rusqlite . It supports type-safe queries, bulk loading with the Appender, Apache Arrow interchange, user-defined functions, and building DuckDB extensions in Rust. This page focuses on installation. The other pages in thi...with the Appender and reading directly from Parquet, CSV, and JSON files. Handle Results — Apache Arrow and Polars result interchange. Write User Defined Functions — user-defined scalar and table functions, and loadable extensions. Profile and Monitor — qu... - https://man.mtool.work/duckdb/2.0/clients/rust/overview.html
- Run Queries 7041
- Overview Java applications send queries and read result sets through the familiar Statement , PreparedStatement , and ResultSet interfaces. This page covers sending queries and reading DuckDB's nested and composite types. For opening the Co
...(1); // 2 System.out.println("DECIMAL(" + precision + ", " + scale + ")"); } Further Reading Handle Results — Apache Arrow interchange, result streaming, and chunked results beyond the standard ResultSet . Import Data — the Appender and batch writer, the re... - https://man.mtool.work/duckdb/2.0/clients/java/querying.html
- Quack Remote Protocol 7041
- The Quack extension turns a DuckDB instance into a server that other DuckDB instances (clients) can connect to over HTTP. This page covers the protocol at a glance and walks through basic usage on both sides of the wire. For the full list o
...nal serialization primitives (the same code path used by the Write-Ahead Log ). This avoids round-tripping data through an interchange format and keeps complex types (nested, decimals, intervals, ...) lossless across the wire. Single round-trip per query. A... - https://man.mtool.work/duckdb/2.0/quack/overview.html
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