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- DBeaver SQL IDE 12323
- DBeaver is a powerful and popular desktop SQL editor and integrated development environment (IDE). It has both an open source and enterprise version. DBeaver is useful for visually inspecting the available tables in DuckDB and for quickly b
...ownload DuckDB's JDBC driver from Maven. Once download is complete, click “OK”, then return to the main DBeaver window and continue with step 7 above. Note: If you are in a corporate environment or behind a firewall, before clicking download, click the “...“Find Class” and confirm that org.duckdb.DuckDBDriver is detected, then click “OK”. Return to the main DBeaver window and continue with step 7 above.... - https://man.mtool.work/duckdb/2.0/guides/sql_editors/dbeaver.html
- Legacy Parser Extension 11238
- New The legacy_parser extension was introduced in DuckDB 2.0. DuckDB 2.0.0 replaced the PostgreSQL-derived parser with a new PEG-based parser . The legacy_parser extension allows reverting to the old parser. The PEG parser is designed to be
...compatible with the previous parser, so queries that parsed before should continue to parse. If a query that parsed on an earlier version fails on v2.0.0, please file an issue . Installing and Loading To i... - https://man.mtool.work/duckdb/2.0/core_extensions/legacy_parser.html
- Internal Errors 10870
- Internal errors signal an assertion failure within DuckDB. They usually occur due to unexpected conditions or errors in the program's logic. For example, running issue 17002 on DuckDB 1.2.1 results in an internal error. INTERNAL Error: Atte
...abase has been invalidated because of a previous fatal error. The database must be restarted prior to being used again. To continue working with the same database, start a new DuckDB session on the same database. The reason DuckDB enters “restricted mode... - https://man.mtool.work/duckdb/2.0/dev/internal_errors.html
- Overview 10520
- Installation To use the DuckDB C API, download the libduckdb archive for your platform. The latest stable version of the DuckDB C API is 2.0.0. DuckDB implements a custom C API modeled somewhat following the SQLite C API. The API is contain
...ed in the duckdb.h header. Continue to Startup & Shutdown to get started, or check out the Full API overview . C API v2 Warning The C API v2 is not yet stable... - https://man.mtool.work/duckdb/2.0/clients/c/overview.html
- Migrating to DuckDB 2.0 9435
- DuckDB 2.0.0 is packed with new features and performance improvements, including query optimization and asynchronous I/O. It also ships a small set of breaking changes, most notably a new default storage format, which DuckDB versions before
...th a new PEG-based parser . It is designed to be compatible with the previous parser, so queries that parsed before should continue to parse, and error messages now include more precise source locations. If a query that parsed on an earlier version fails...ncy on the ICU library . Time zones, calendars and collations are now implemented natively by the icu extension , and will continue to behave as before. No query changes are required, but if you ship a custom build, note that ICU is no longer bundled. If... - https://man.mtool.work/duckdb/2.0/operations_manual/migration.html
- PEG Parser 8717
- New Starting with DuckDB 2.0, the PEG parser is the default parser. In earlier versions it was an experimental, opt-in feature enabled with enable_peg_parser() , which is no longer required or available. DuckDB uses a parser based on PEG (
...r implementation and rewrote its grammar, but the dialect itself and the rest of the query pipeline, including the binder, continue to operate on the same internal syntax tree. Suggestions The PEG parser is used to generate suggestions. You can cycle thr... - https://man.mtool.work/duckdb/2.0/sql/peg_parser.html
- Vectors 7999
- Vectors represent a horizontal slice of a column. They hold a number of values of a specific type, similar to an array. Vectors are the core data representation used in DuckDB. Vectors are typically stored within data chunks . The vector an
...row_count; row++) { if (!duckdb_validity_row_is_valid(struct_validity, row)) { // entire struct is NULL printf("NULL\n"); continue; } // read col1 printf("{'col1': "); if (!duckdb_validity_row_is_valid(col1_validity, row)) { // col1 is NULL printf("NULL...ow < row_count; row++) { if (!duckdb_validity_row_is_valid(list_validity, row)) { // entire list is NULL printf("NULL\n"); continue; } // read the list offsets for this row duckdb_list_entry list = list_data[row]; printf("["); for (idx_t child_idx = list... - https://man.mtool.work/duckdb/2.0/clients/c/vector.html
- Statically Linking Extensions 7999
- This page is for client and binding authors, and for anyone who embeds libduckdb in their own application. It describes how statically linking extensions changed in DuckDB 2.0 and what builders on top of DuckDB need to do. This change is in
...dependent of the new C API. It applies even if you continue to build against the existing (v1) C API: the difference is in how extension archives are linked and registered, not in wh... - https://man.mtool.work/duckdb/2.0/dev/building/linking_extensions.html
- Unnesting 7632
- Unnesting is an operation that decomposes values of a composite types into its components. Values of the LIST and STRUCT type may be unnested using the unnest() function . Unnesting turns a LIST -typed value into a table column: each list-e
..., and so on, recursively. These additional parameters are: recursive : BOOLEAN , default: false . Pass true to recursively continue applying unnest to unnested member values. When explicitly passing false , recursion is disabled. In that case, other addi... - https://man.mtool.work/duckdb/2.0/sql/query_syntax/unnest.html
- UNPIVOT Statement 7632
- The UNPIVOT statement allows multiple columns to be stacked into fewer columns. In the basic case, multiple columns are stacked into two columns: a NAME column (which contains the name of the source column) and a VALUE column (which contain
...Using the COLUMNS Expression The COLUMNS expression can be used to determine the IN list of columns dynamically. This will continue to work even if additional month columns are added to the dataset. It produces the same result as the query above. FROM mo... - https://man.mtool.work/duckdb/2.0/sql/statements/unpivot.html
DuckDB 2.0 Documentation / man.mtool.work