Search Shortcut cmd + k | ctrl + k
- Installation
- Documentation
- Getting Started
- Connect
- Data Import
- Overview
- Data Sources
- CSV Files
- JSON Files
- Overview
- Creating JSON
- Loading JSON
- Writing JSON
- JSON Type
- JSON Functions
- Format Settings
- Installing and Loading
- SQL to / from JSON
- Caveats
- Multiple Files
- Parquet Files
- Partitioning
- Appender
- INSERT Statements
- Client APIs
- Overview
- ADBC
- C
- Overview
- Startup
- Configuration
- Query
- Data Chunks
- Vectors
- Values
- Types
- Prepared Statements
- Appender
- Table Functions
- Replacement Scans
- API Reference
- C++
- CLI
- Overview
- Arguments
- Dot Commands
- Output Formats
- Editing
- Safe Mode
- Autocomplete
- Syntax Highlighting
- Known Issues
- Dart
- Go
- Java (JDBC)
- Julia
- Node.js (Deprecated)
- Node.js (Neo)
- ODBC
- PHP
- Python
- Overview
- Data Ingestion
- Conversion between DuckDB and Python
- DB API
- Relational API
- Function API
- Types API
- Expression API
- Spark API
- API Reference
- Known Python Issues
- R
- Rust
- Swift
- Wasm
- SQL
- Introduction
- Statements
- Overview
- ANALYZE
- ALTER TABLE
- ALTER VIEW
- ATTACH and DETACH
- CALL
- CHECKPOINT
- COMMENT ON
- COPY
- CREATE INDEX
- CREATE MACRO
- CREATE SCHEMA
- CREATE SECRET
- CREATE SEQUENCE
- CREATE TABLE
- CREATE VIEW
- CREATE TYPE
- DELETE
- DESCRIBE
- DROP
- EXPORT and IMPORT DATABASE
- INSERT
- LOAD / INSTALL
- PIVOT
- Profiling
- SELECT
- SET / RESET
- SET VARIABLE
- SUMMARIZE
- Transaction Management
- UNPIVOT
- UPDATE
- USE
- VACUUM
- Query Syntax
- SELECT
- FROM and JOIN
- WHERE
- GROUP BY
- GROUPING SETS
- HAVING
- ORDER BY
- LIMIT and OFFSET
- SAMPLE
- Unnesting
- WITH
- WINDOW
- QUALIFY
- VALUES
- FILTER
- Set Operations
- Prepared Statements
- Data Types
- Overview
- Array
- Bitstring
- Blob
- Boolean
- Date
- Enum
- Interval
- List
- Literal Types
- Map
- NULL Values
- Numeric
- Struct
- Text
- Time
- Timestamp
- Time Zones
- Union
- Typecasting
- Expressions
- Overview
- CASE Expression
- Casting
- Collations
- Comparisons
- IN Operator
- Logical Operators
- Star Expression
- Subqueries
- TRY
- Functions
- Overview
- Aggregate Functions
- Array Functions
- Bitstring Functions
- Blob Functions
- Date Format Functions
- Date Functions
- Date Part Functions
- Enum Functions
- Interval Functions
- Lambda Functions
- List Functions
- Map Functions
- Nested Functions
- Numeric Functions
- Pattern Matching
- Regular Expressions
- Struct Functions
- Text Functions
- Time Functions
- Timestamp Functions
- Timestamp with Time Zone Functions
- Union Functions
- Utility Functions
- Window Functions
- Constraints
- Indexes
- Meta Queries
- DuckDB's SQL Dialect
- Overview
- Indexing
- Friendly SQL
- Keywords and Identifiers
- Order Preservation
- PostgreSQL Compatibility
- SQL Quirks
- Samples
- Configuration
- Extensions
- Overview
- Installing Extensions
- Advanced Installation Methods
- Distributing Extensions
- Versioning of Extensions
- Troubleshooting of Extensions
- Core Extensions
- Overview
- AutoComplete
- Avro
- AWS
- Azure
- Delta
- DuckLake
- Encodings
- Excel
- Full Text Search
- httpfs (HTTP and S3)
- Iceberg
- Overview
- Iceberg REST Catalogs
- Amazon S3 Tables
- Amazon SageMaker Lakehouse (AWS Glue)
- Troubleshooting
- ICU
- inet
- jemalloc
- MySQL
- PostgreSQL
- Spatial
- SQLite
- TPC-DS
- TPC-H
- UI
- VSS
- Guides
- Overview
- Data Viewers
- Database Integration
- File Formats
- Overview
- CSV Import
- CSV Export
- Directly Reading Files
- Excel Import
- Excel Export
- JSON Import
- JSON Export
- Parquet Import
- Parquet Export
- Querying Parquet Files
- File Access with the file: Protocol
- Network and Cloud Storage
- Overview
- HTTP Parquet Import
- S3 Parquet Import
- S3 Parquet Export
- S3 Iceberg Import
- S3 Express One
- GCS Import
- Cloudflare R2 Import
- DuckDB over HTTPS / S3
- Fastly Object Storage Import
- Meta Queries
- Describe Table
- EXPLAIN: Inspect Query Plans
- EXPLAIN ANALYZE: Profile Queries
- List Tables
- Summarize
- DuckDB Environment
- ODBC
- Performance
- Overview
- Environment
- Import
- Schema
- Indexing
- Join Operations
- File Formats
- How to Tune Workloads
- My Workload Is Slow
- Benchmarks
- Working with Huge Databases
- Python
- Installation
- Executing SQL
- Jupyter Notebooks
- marimo Notebooks
- SQL on Pandas
- Import from Pandas
- Export to Pandas
- Import from Numpy
- Export to Numpy
- SQL on Arrow
- Import from Arrow
- Export to Arrow
- Relational API on Pandas
- Multiple Python Threads
- Integration with Ibis
- Integration with Polars
- Using fsspec Filesystems
- SQL Editors
- SQL Features
- Snippets
- Creating Synthetic Data
- Dutch Railway Datasets
- Sharing Macros
- Analyzing a Git Repository
- Importing Duckbox Tables
- Copying an In-Memory Database to a File
- Troubleshooting
- Glossary of Terms
- Browsing Offline
- Operations Manual
- Overview
- DuckDB's Footprint
- Logging
- Securing DuckDB
- Non-Deterministic Behavior
- Limits
- Development
- DuckDB Repositories
- Profiling
- Building DuckDB
- Overview
- Build Configuration
- Building Extensions
- Android
- Linux
- macOS
- Raspberry Pi
- Windows
- Python
- R
- Troubleshooting
- Unofficial and Unsupported Platforms
- Benchmark Suite
- Testing
- Internals
- Sitemap
- Live Demo
DuckDB 1.3 ドキュメント 全文検索
Results of 1 - 5 of about 5 for geospatial (0.003 sec.)
- GDAL Integration – DuckDB 11343
- This page is for DuckDB 1.3, which is outdated. Switch to the current version . Search Shortcut cmd + k | ctrl + k Installation Documentation Getting Started Connect Overview Concurrency Data Import Overview Data Sources CSV Files Overview
...Integration The spatial extension integrates the GDAL translator library to read and write spatial data from a variety of geospatial vector file formats. See the documentation for the st_read table function for how to make use of this in practice. In orde...which GDAL drivers are currently available. GDAL Based COPY Function The spatial extension does not only enable importing geospatial file formats (through the ST_Read function), it also enables exporting DuckDB tables to different geospatial vector format...ding and writing raster formats are not supported. 関連キーワード spatial formats table available drivers driver extension geospatial vector system based export options list library read copy also through GeoJSON pass metadata Note supported Documentation... - https://man.mtool.work/duckdb/1.3/core_extensions/spatial/gdal.html
- Spatial Extension – DuckDB 11343
- This page is for DuckDB 1.3, which is outdated. Switch to the current version . Search Shortcut cmd + k | ctrl + k Installation Documentation Getting Started Connect Overview Concurrency Data Import Overview Data Sources CSV Files Overview
...Demo Documentation / Core Extensions / Spatial Copy Markdown Spatial Extension The spatial extension provides support for geospatial data processing in DuckDB. For an overview of the extension, see our blog post . Installing and Loading To install the spa...ing it: LOAD spatial ; The GEOMETRY Type The core of the spatial extension is the GEOMETRY type. If you're unfamiliar with geospatial data and GIS tooling, this type probably works very different from what you'd expect. On the surface, the GEOMETRY type is...LIST . Since these have a fixed and predictable internal memory layout, it is theoretically possible to optimize a lot of geospatial algorithms to be much faster when operating on these types than on the GEOMETRY type. However, only a couple of functions... - https://man.mtool.work/duckdb/1.3/core_extensions/spatial/overview.html
- Spatial Functions – DuckDB 8640
- This page is for DuckDB 1.3, which is outdated. Switch to the current version . Search Shortcut cmd + k | ctrl + k Installation Documentation Getting Started Connect Overview Concurrency Data Import Overview Data Sources CSV Files Overview
...ST_GeneratePoints Generates a set of random points within the specified bounding box. ST_Read Read and import a variety of geospatial file formats using the GDAL library. ST_ReadOSM The ST_ReadOsm() table function enables reading compressed OpenStreetMap d...pbf file. ST_ReadSHP Read a Shapefile without relying on the GDAL library ST_Read_Meta Read the metadata from a variety of geospatial file formats using the GDAL library. Scalar Functions DuckDB_PROJ_Compiled_Version Signature VARCHAR DuckDB_PROJ_Compiled_...spatial_filter_box BOX_2D , allowed_drivers VARCHAR [], open_options VARCHAR []) Description Read and import a variety of geospatial file formats using the GDAL library. The ST_Read table function is based on the GDAL translator library and enables readin... - https://man.mtool.work/duckdb/1.3/core_extensions/spatial/functions.html
- Core Extensions – DuckDB 7482
- This page is for DuckDB 1.3, which is outdated. Switch to the current version . Search Shortcut cmd + k | ctrl + k Installation Documentation Getting Started Connect Overview Concurrency Data Import Overview Data Sources CSV Files Overview
...postgres GitHub Adds support for reading from and writing to a PostgreSQL database stable postgres_scanner spatial GitHub Geospatial extension that adds support for working with spatial data and functions experimental sqlite GitHub Adds support for readin... - https://man.mtool.work/duckdb/1.3/core_extensions/overview.html
- R-Tree Indexes – DuckDB 7096
- This page is for DuckDB 1.3, which is outdated. Switch to the current version . Search Shortcut cmd + k | ctrl + k Installation Documentation Getting Started Connect Overview Concurrency Data Import Overview Data Sources CSV Files Overview
...support for spatial indexing through the R-tree extension index type. Why Should I Use an R-Tree Index? When working with geospatial datasets, it is very common that you want to filter rows based on their spatial relationship with a specific region of int... - https://man.mtool.work/duckdb/1.3/core_extensions/spatial/r-tree_indexes.html
PREV
1
NEXT
DuckDB 1.3 Documentation / man.mtool.work