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- Multiple Connections 13911
- For tests whose purpose is to verify that the transactional management or versioning of data works correctly, it is generally necessary to use multiple connections. For example, if we want to verify that the creation of tables is correctly
... - https://man.mtool.work/duckdb/2.0/dev/sqllogictest/multiple_connections.html
- Combining Schemas 11576
- 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
...issing from the first file are dropped, and columns of the first file missing from a later file cause an error. This works correctly as long as all files have the same schema. If the schema of the files differs, you might want to use the union_by_name opt...them in the opposite order results in a schema mismatch error). When specifying the union_by_name option, the columns are correctly unified, and any missing values are set to NULL . SELECT * FROM read_csv(['flights3.csv', 'flights4.csv'], union_by_name =... - https://man.mtool.work/duckdb/2.0/data/multiple_files/combining_schemas.html
- S3 Parquet Import 10024
- Prerequisites To load a Parquet file from S3, the httpfs extension is required. This can be installed using the INSTALL SQL command. This only needs to be run once. INSTALL httpfs; To load the httpfs extension for usage, use the LOAD SQL co
...CRET ( TYPE s3, PROVIDER credential_chain ); Querying After the httpfs extension is set up and the S3 configuration is set correctly, Parquet files can be read from S3 using the following command: SELECT * FROM read_parquet('s3://⟨bucket⟩/⟨file⟩'); Google... - https://man.mtool.work/duckdb/2.0/guides/network_cloud_storage/s3_import.html
- S3 Parquet Export 9641
- To write a Parquet file to S3, the httpfs extension is required. This can be installed using the INSTALL SQL command. This only needs to be run once. INSTALL httpfs; To load the httpfs extension for usage, use the LOAD SQL command: LOAD htt
...ike: CREATE SECRET ( TYPE s3, PROVIDER credential_chain ); After the httpfs extension is set up and the S3 credentials are correctly configured, Parquet files can be written to S3 using the following command: COPY ⟨table_name⟩ TO 's3://⟨s3-bucket⟩/⟨filena... - https://man.mtool.work/duckdb/2.0/guides/network_cloud_storage/s3_export.html
- S3 Iceberg Import 9257
- Prerequisites Loading an Iceberg file from S3 requires both the httpfs and iceberg extensions. Install them using the INSTALL SQL command. You only need to install extensions once. INSTALL httpfs; INSTALL iceberg; To load the extensions, us
...s3, PROVIDER credential_chain ); Loading Iceberg Tables from S3 After the extensions are set up and the S3 credentials are correctly configured, Iceberg tables can be read from S3 using the following command: SELECT * FROM iceberg_scan('s3://⟨bucket⟩/⟨ice... - https://man.mtool.work/duckdb/2.0/guides/network_cloud_storage/s3_iceberg_import...
- CSV Import Tips 8857
- Below is a collection of tips to help when attempting to import complex CSV files. In the examples, we use the flights.csv file. Override the Header Flag if the Header Is Not Correctly Detected If a file contains only string columns the hea
... - https://man.mtool.work/duckdb/2.0/data/csv/tips.html
- Loading JSON 8857
- The DuckDB JSON reader can automatically infer which configuration flags to use by analyzing the JSON file. This will work correctly in most situations, and should be the first option attempted. In rare situations where the JSON reader cann
...ot figure out the correct configuration, it is possible to manually configure the JSON reader to correctly parse the JSON file. The read_json Function The read_json is the simplest method of loading JSON files: it automatically a... - https://man.mtool.work/duckdb/2.0/data/json/loading_json.html
- CSV Import 8473
- 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 =
...can automatically infer which configuration flags to use by analyzing the CSV file using the CSV sniffer . This will work correctly in most situations, and should be the first option attempted. In rare situations where the CSV reader cannot figure out th...e correct configuration it is possible to manually configure the CSV reader to correctly parse the CSV file. See the auto detection page for more information. Auto-detection ( auto_detect ) is enabled by default... - https://man.mtool.work/duckdb/2.0/data/csv/overview.html
- JSON Format Settings 8473
- The JSON extension can attempt to determine the format of a JSON file when setting format to auto . Here are some example JSON files and the corresponding format settings that should be used. In each of the below cases, the format setting w
...as not needed, as DuckDB was able to infer it correctly, but it is included for illustrative purposes. A query of this shape would work in each case: SELECT * FROM filename.json;... - https://man.mtool.work/duckdb/2.0/data/json/format_settings.html
- Deploy as Native Image 8090
- Overview The JDBC driver runs inside GraalVM Native Image executables. Graal Native Image compiles a Java application ahead of time into a standalone binary that starts in milliseconds and requires no JVM on the target machine, which suits
...uckdb_java.dll on Windows. The lookup is anchored to the executable rather than the working directory, so the program runs correctly from anywhere. This option produces a small executable, under 20 MB for a simple application, with no extraction cost when... - https://man.mtool.work/duckdb/2.0/clients/java/deploy_native_image.html
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