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- Out-of-Memory Issues 13318
- Configuration Options If you are experiencing out-of-memory issues with DuckDB, try tweaking the following configuration options: Reduce the number of threads using the SET threads = ... command. Setting the memory limit lower than the defa
...y during processing – hence, using the most restrictive types possible when creating columns is necessary to reduce memory consumption. Indexes can significantly increase memory consumption. Additionally, they are currently not buffer-managed . Avoid using... - https://man.mtool.work/duckdb/2.0/guides/performance/oom.html
- R 10923
- This page contains instructions for building the R client library. Parallelizing the Build Problem: By default, R compiles packages using a single thread, which causes the build to be slow. Solution: To parallelize the compilation, create o
...ll of the machine's threads: MAKEFLAGS = -j$(nproc) However, note that, the more threads that are used, the higher the RAM consumption. If the system runs out of RAM while compiling, then the R session will crash.... - https://man.mtool.work/duckdb/2.0/dev/building/r.html
- Agent Mode 9135
- New Agent mode was introduced in DuckDB 2.0. Agent mode renders the CLI's output for consumption by an AI coding agent rather than a human at a terminal. It produces compact Markdown tables with explicit result limits, machine-readable erro
... - https://man.mtool.work/duckdb/2.0/clients/cli/agent_mode.html
- Combining Schemas 8831
- Examples Read a set of CSV files combining columns by position: SELECT * FROM read_csv('flights*.csv'); Read a set of CSV files combining columns by name: SELECT * FROM read_csv('flights*.csv', union_by_name = true); Combining Schemas When
...Angeles, CA AA This is equivalent to the SQL construct UNION ALL BY NAME . Using the union_by_name option increases memory consumption.... - https://man.mtool.work/duckdb/2.0/data/multiple_files/combining_schemas.html
- Handle Results 8545
- Overview Beyond the standard JDBC ResultSet , the DuckDB driver can hand results to Apache Arrow , stream large results instead of materializing them, and expose raw columnar data chunks. This page covers each of these result-handling optio
...ntegrates with Apache Arrow through the Java Arrow bindings . A DuckDBResultSet can export its rows as an Arrow stream for consumption by Arrow-based tools, and an Arrow stream produced elsewhere can be registered on a connection and queried as a DuckDB tab... - https://man.mtool.work/duckdb/2.0/clients/java/result_handling.html
- Schema 8545
- Types It is important to use the correct type for encoding columns (e.g., BIGINT , DATE , DATETIME ). While it is always possible to use string types ( VARCHAR , etc.) to encode more specific values, this is not recommended. Strings use mor
...y during processing – hence, using the most restrictive types possible when creating columns is necessary to reduce memory consumption. Microbenchmark: Using Timestamps We illustrate the difference in aggregation speed using the creationDate column of the L... - https://man.mtool.work/duckdb/2.0/guides/performance/schema.html
- Pragmas 7651
- The PRAGMA statement is a SQL extension adopted by DuckDB from SQLite. PRAGMA statements can be issued in a similar manner to regular SQL statements. PRAGMA commands may alter the internal state of the database engine, and can influence the
...ode , quantile , string_agg , and approx functions) use memory outside of the buffer manager. Therefore, the actual memory consumption can be higher than the specified memory limit. Threads Set the amount of threads for parallel query execution: SET threads... - https://man.mtool.work/duckdb/2.0/configuration/pragmas.html
- CSV Import 7651
- Examples The following examples use the flights.csv file. Read a CSV file from disk, auto-infer options: SELECT * FROM 'flights.csv'; Use the read_csv function with custom options: SELECT * FROM read_csv('flights.csv', delim = '|', header =
...y) union_by_name Align columns from different files by column name instead of position. Using this option increases memory consumption. BOOL false Tip DuckDB's CSV reader supports UTF-8 (default), UTF-16 and Latin-1 encodings. For other encodings, you can e... - https://man.mtool.work/duckdb/2.0/data/csv/overview.html
- Configuration 7347
- DuckDB has a number of configuration options that can be used to change the behavior of the system. The configuration options can be set using either the SET statement or the PRAGMA statement . They can be reset to their original values usi
...amount of row groups to buffer in bulk ingestion prior to flushing them together. Reducing this setting can reduce memory consumption. UBIGINT 5 write_buffer_row_group_memory_limit The maximum data to buffer in row groups (in bytes) to buffer prior to flus... - https://man.mtool.work/duckdb/2.0/configuration/overview.html
- WITH Clause 7347
- The WITH clause allows you to specify common table expressions (CTEs). Regular (non-recursive) common-table-expressions are essentially views that are limited in scope to a particular query. CTEs can reference each other and can be nested.
...s. Avoiding the append-only behavior can lead to significantly smaller union table sizes. This helps query runtime, memory consumption, and makes it feasible to access the union table while the iteration is still ongoing. In a CTE WITH RECURSIVE T(...) USIN... - https://man.mtool.work/duckdb/2.0/sql/query_syntax/with.html
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