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 hours (0.002 sec.)
- Interval Type – DuckDB 12336
- 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
...t function, the months component is additionally split into years and months, and the microseconds component is split into hours, minutes, and microseconds. The days component is not split into additional units. To demonstrate this, the following quer...45 ) DAYS + INTERVAL ( random () * 12_345 ) MONTHS ) ) _ ( period ); Warning The microseconds component is split only into hours, minutes, and microseconds, rather than hours, minutes, seconds , and microseconds. Additionally, the amounts of centuries...the + and - operators. SELECT DATE '2000-01-01' + INTERVAL 1 YEAR , TIMESTAMP '2000-01-01 01:33:30' - INTERVAL '1 month 13 hours' , TIME '02:00:00' - INTERVAL '3 days 23 hours' , -- wraps; equals TIME '03:00:00' ; Adding an INTERVAL to a DATE returns... - https://man.mtool.work/duckdb/1.3/sql/data_types/interval.html
- Interval Functions – DuckDB 9652
- 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
...nstruct a century interval. to_days(integer) Construct a day interval. to_decades(integer) Construct a decade interval. to_hours(integer) Construct an hour interval. to_microseconds(integer) Construct a microsecond interval. to_millennia(integer) Cons...TERVAL 5 DAY to_decades(integer) Description Construct a decade interval. Example to_decades(5) Result INTERVAL 50 YEAR to_hours(integer) Description Construct an hour interval. Example to_hours(5) Result INTERVAL 5 HOUR to_microseconds(integer) Descr...s datepart extract seconds quarters Addition Subtraction Alias number year Functions Interval epoch centuries days decades hours microseconds 関連するページ Timestamp Functions Time Functions Date Functions Interval Type Timestamp with Time Zone Funct... - https://man.mtool.work/duckdb/1.3/sql/functions/interval.html
- Date Part Functions – DuckDB 9210
- 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
...ry cent , centuries , c 21 day Gregorian day days , d , dayofmonth 3 decade Gregorian decade dec , decades , decs 202 hour Hours hr , hours , hrs , h 11 microseconds Sub-minute microseconds microsecond , us , usec , usecs , usecond , useconds 44123456...January 1 = 1). decade(date) Decade (year / 10). epoch(date) Seconds since 1970-01-01. era(date) Calendar era. hour(date) Hours. isodow(date) Numeric ISO weekday (Monday = 1, Sunday = 7). isoyear(date) ISO Year number (Starts on Monday of week contai...) Result 698112000 era(date) Description Calendar era. Example era(DATE '0044-03-15 (BC)') Result 0 hour(date) Description Hours. Example hour(timestamp '2021-08-03 11:59:44.123456') Result 11 isodow(date) Description Numeric ISO weekday (Monday = 1,... - https://man.mtool.work/duckdb/1.3/sql/functions/datepart.html
- Timestamp Types – DuckDB 7574
- 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
...when daylight savings time changes. The example below contains a daylight savings time change where the "hour" bin is two hours long. To distinguish the two hours, another range of bins containing the offset from UTC is needed: Time Zone Support The... - https://man.mtool.work/duckdb/1.3/sql/data_types/timestamp.html
- Time Functions – DuckDB 7133
- 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
...make_time(bigint, bigint, double) The time for the given parts. The only date parts that are defined for times are epoch , hours , minutes , seconds , milliseconds and microseconds . current_time Description Current time (start of current transaction)... - https://man.mtool.work/duckdb/1.3/sql/functions/time.html
PREV
1
NEXT
DuckDB 1.3 Documentation / man.mtool.work