Search Shortcut cmd + k | ctrl + k
- Installation
- Guides
- Overview
- SQL Features
- Data Import & Export
- CSV Import
- CSV Export
- Parquet Import
- Parquet Export
- Query Parquet
- HTTP Parquet Import
- S3 Parquet Import
- S3 Parquet Export
- JSON Import
- JSON Export
- Excel Import
- Excel Export
- SQLite Import
- Postgres Import
- Meta Queries
- Python
- Install
- Execute SQL
- Jupyter Notebooks
- SQL on Pandas
- Import From Pandas
- Export To Pandas
- SQL on Arrow
- Import From Arrow
- Export To Arrow
- Relational API on Pandas
- Multiple Python Threads
- DuckDB with Ibis
- DuckDB with Fugue
- DuckDB with Polars
- DuckDB with Vaex
- DuckDB with DataFusion
- DuckDB with fsspec filesystems
- SQL Editors
- Data Viewers
- Documentation
- Connect
- Data Import
- Overview
- CSV Files
- JSON Files
- Multiple Files
- Parquet Files
- Partitioning
- Appender
- Insert Statements
- Client APIs
- Overview
- C
- Overview
- Startup
- Configure
- Query
- Data Chunks
- Values
- Types
- Prepared Statements
- Appender
- Table Functions
- Replacement Scans
- API Reference
- C++
- CLI
- Java
- Julia
- Node.js
- ODBC
- Python
- Overview
- Data Ingestion
- Result Conversion
- DB API
- Relational API
- Function API
- Types API
- API Reference
- R
- Rust
- Scala
- Swift
- Wasm
- SQL
- Introduction
- Statements
- Overview
- Alter Table
- Attach/Detach
- Call
- Checkpoint
- Copy
- Create Macro
- Create Schema
- Create Sequence
- Create Table
- Create View
- Delete
- Drop
- Export
- Insert
- Pivot
- Select
- Set/Reset
- Unpivot
- Update
- Use
- Vacuum
- Query Syntax
- SELECT
- FROM & JOIN
- WHERE
- GROUP BY
- GROUPING SETS
- HAVING
- ORDER BY
- LIMIT
- SAMPLE
- UNNEST
- WITH
- WINDOW
- QUALIFY
- VALUES
- FILTER
- Set Operations
- Data Types
- Overview
- Bitstring
- Blob
- Boolean
- Date
- Enum
- Interval
- List
- Map
- NULL Values
- Numeric
- Struct
- Text
- Timestamp
- Union
- Expressions
- Functions
- Overview
- Bitstring Functions
- Blob Functions
- Date Format Functions
- Date Functions
- Date Part Functions
- Enum Functions
- Interval Functions
- Nested Functions
- Numeric Functions
- Pattern Matching
- Text Functions
- Time Functions
- Timestamp Functions
- Timestamp With Time Zone Functions
- Utility Functions
- Aggregates
- Configuration
- Constraints
- Indexes
- Information Schema
- Metadata Functions
- Pragmas
- Samples
- Window Functions
- Extensions
- Sitemap
- Why DuckDB
- Media
- FAQ
- Code of Conduct
- Live Demo
Documentation
/ SQL
/ Statements
Update Statement
The UPDATE
statement modifies the values of rows in a table.
Examples
-- for every row where "i" is NULL, set the value to 0 instead
UPDATE tbl SET i=0 WHERE i IS NULL;
-- set all values of "i" to 1 and all values of "j" to 2
UPDATE tbl SET i=1, j = 2;
Syntax
UPDATE
changes the values of the specified columns in all rows that satisfy the condition. Only the columns to be modified need be mentioned in the SET
clause; columns not explicitly modified retain their previous values.
Update from Other Table
A table can be updated based upon values from another table. This can be done by specifying a table in a FROM
clause, or using a sub-select statement. Both approaches have the benefit of completing the UPDATE
operation in bulk for increased performance.
CREATE OR REPLACE TABLE original AS
SELECT 1 as key, 'original value' AS value
UNION ALL
SELECT 2 as key, 'original value 2' AS value;
CREATE OR REPLACE TABLE new AS
SELECT 1 as key, 'new value' AS value
UNION ALL
SELECT 2 as key, 'new value 2' AS value;
SELECT * FROM original;
key | value |
---|---|
1 | original value |
2 | original value 2 |
UPDATE original
SET value = new.value
FROM new
WHERE original.key = new.key;
-- OR
UPDATE original
SET value = (
SELECT
new.value
FROM new
WHERE original.key = new.key
);
SELECT * FROM original;
key | value |
---|---|
1 | new value |
2 | new value 2 |
Upsert (Insert or Update)
See the Insert documentation for details.