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- Release Cycle 12371
- This document outlines the DuckDB and core extension release cycle framework. It is intended for developers working on DuckDB extensions to better understand the underlying processes. Overview DuckDB follows Semantic Versioning ( v<MAJOR>.<
...w a separate maintenance cycle to provide extended support and stability. The main DuckDB release cycle consists of 3 main phases: Mid-cycle , Pre-release and Feature freeze . These phases are clearly defined and communicated to ensure the whole team...is synchronized and working together towards the next release. Phase 1: Mid-Cycle Active DuckDB Branches main vx.y-codename Description The mid-cycle phase is the most common phase of the rel...ease cycle, with about 75% of the time being spent in this phase. It can be seen as business-as-usual , where the upcoming release is still far away and the team is working hard on mergin... - https://man.mtool.work/duckdb/2.0/dev/release_cycle.html
- Overview of DuckDB Internals 8802
- Tip For a detailed explanation of DuckDB internals, see the Design and Implementation of DuckDB Internals ("DiDi") library entry. On this page is a brief description of the internals of the DuckDB engine. Parser The parser converts a query
...l query string contains multiple queries. Binder The binder converts all nodes into their bound equivalents. In the binder phase: The tables and columns are resolved using the catalog Types are resolved Aggregate/window functions are extracted The fol...pression → Expression Logical Planner The logical planner creates LogicalOperator nodes from the bound statements. In this phase, the actual logical query tree is created. Optimizer After the logical planner has created the logical query tree, the opt...sical plan generator converts the resulting logical operator tree into a PhysicalOperator tree. Execution In the execution phase, the physical operators are executed to produce the query result. DuckDB uses a push-based vectorized model, where DataChu... - https://man.mtool.work/duckdb/2.0/internals/overview.html
- Data Ingestion 8044
- This page contains examples for data ingestion to Python using DuckDB. First, import the DuckDB package: import duckdb Then, proceed with any of the following sections. CSV Files CSV files can be read using the read_csv function, called eit
...ecial care, since this stores values of arbitrary type. To convert these columns to DuckDB, we first go through an analyze phase before converting the values. In this analyze phase a sample of all the rows of the column are analyzed to determine the t... - https://man.mtool.work/duckdb/2.0/clients/python/data_ingestion.html
- Vector Similarity Search Extension 7729
- The vss extension is an experimental extension for DuckDB that adds indexing support to accelerate vector similarity search queries using DuckDB's new fixed-size ARRAY type. See the announcement blog post and the “What's New in the Vector S
...increase the time it takes to build the index. ef_search 64 The number of candidate vertices to consider during the search phase of the index. A higher value will result in a more accurate index, but will also increase the time it takes to perform a s... - https://man.mtool.work/duckdb/2.0/core_extensions/vss.html
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