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Importing Duckbox Tables 12384
The scripts provided in this page work on Linux, macOS, and WSL. By default, the DuckDB CLI client renders query results in the duckbox format , which uses rich, ASCII-art inspired tables to show data. These tables are often shared verbatim ... e looks as follows: a│b hello│42 world│84 We can then simply load this to DuckDB via: FROM read_csv('duckbox-cleaned.csv', delim = '│'); And export it to a CSV: COPY (FROM read_csv('duckbox-cleaned.csv', delim = '│')) TO 'out.csv'; a,b hello,42 world, ... ed -n "2s/^│ *//;s/ *│$//;s/ *│ */│/p;2q" duckbox.csv; ' || 'sed "1,4d;\$d;s/^│ *//;s/ *│$//;s/ *│ */│/g" duckbox.csv) |', delim = '│' ); We can also create a table macro : CREATE MACRO read_duckbox(path) AS TABLE FROM read_csv( printf( '(sed -n "2s/^ ... │ *//;s/ *│$//;s/ *│ */│/p;2q" %s; ' || 'sed "1,4d;\$d;s/^│ *//;s/ *│$//;s/ *│ */│/g" %s) |', path, path ), delim = '│' ); Then, reading a duckbox table is as simple as: FROM read_duckbox('duckbox.csv'); shellfs is a community extension ...
https://man.mtool.work/duckdb/2.0/guides/snippets/importing_duckbox_tables.html
CSV Auto Detection 10928
When using read_csv , the system tries to automatically infer how to read the CSV file using the CSV sniffer . This step is necessary because CSV files are not self-describing and come in many different dialects. The auto-detection works ro ... ughly as follows: Detect the dialect of the CSV file (delimiter, quoting rule, escape). Detect the types of each of the columns. Detect whether or not the file has a header row. By d ... ons can be individually overridden by the user. This can be useful in case the system makes a mistake. For example, if the delimiter is chosen incorrectly, we can override it by calling the read_csv with an explicit delimiter (e.g., read_csv('file.csv ... ', delim = '|') ). Sample Size The type detection works by operating on a sample of the file. The size of the sample can be modifie ...
https://man.mtool.work/duckdb/2.0/data/csv/auto_detection.html
CSV Import 10605
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 = ... eformat ; only available in the COPY statement. VARCHAR (empty) decimal_separator Decimal separator for numbers. VARCHAR . delim Delimiter character used to separate columns within each line, e.g., , ; \t . The delimiter character can be up to 4 bytes ... , e.g., ?. Alias for sep . VARCHAR , delimiter Alias for delim ; only available in the COPY statement. VARCHAR , escape String used to escape the quote character wit ... Options are '\r' , '\n' , or '\r\n' . The CSV parser only distinguishes between single-character and double-character line delimiters. Therefore, it does not differentiate between '\r' and '\n' . VARCHAR (empty) normalize_names Normalize column names. ...
https://man.mtool.work/duckdb/2.0/data/csv/overview.html
File Formats 8843
Handling Parquet Files DuckDB has advanced support for Parquet files, which includes directly querying Parquet files . When deciding on whether to query these files directly or to first load them to the database, you need to consider severa ... lows: .mode line SELECT Prompt FROM sniff_csv('part-0001.csv'); Prompt = FROM read_csv('file_path.csv', auto_detect=false, delim=',', quote='"', escape='"', new_line='\n', skip=0, header=true, columns={'hello': 'BIGINT', 'world': 'VARCHAR'}); Then, yo ... (globbing) , and run with the rest of the options detected by the sniffer: FROM read_csv('part-*.csv', auto_detect=false, delim=',', quote='"', escape='"', new_line='\n', skip=0, header=true, columns={'hello': 'BIGINT', 'world': 'VARCHAR'}); Reducing ...
https://man.mtool.work/duckdb/2.0/guides/performance/file_formats.html
HTTP CSV Import 8520
To load a CSV file directly over HTTP(S), 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 comman ... he same way for CSVs far larger than fit in memory, and pairs naturally with read_csv 's usual options ( columns , types , delim , etc.) for files that need explicit schema hints. ...
https://man.mtool.work/duckdb/2.0/guides/network_cloud_storage/http_csv_import.h...
Configuration 7711
DuckDB has a number of configuration options that can be used to change the behavior of the system. The configuration options can be set using either the SET statement or the PRAGMA statement . They can be reset to their original values usi ... e. ALL _ERRORS_INVALIDATE_TRANSACTION means all errors invalidate a transaction. VARCHAR ALL_ERRORS_INVALIDATE_TRANSACTION delim_join_as_cte Rewrite delim joins to materialized CTEs during dependent join flattening. BOOLEAN true dialect_compatibility_ ...
https://man.mtool.work/duckdb/2.0/configuration/overview.html
Analyzing a Git Repository 7711
You can use DuckDB to analyze Git logs using the output of the git log command . Exporting the Git Log We start by picking a character that doesn't occur in any part of the commit log (author names, messages, etc). Since version v1.2.0, Duc ... kDB's CSV reader supports 4-byte delimiters , making it possible to use emojis! ? Despite being featured in the Emoji Movie (IMDb rating: 3.4), we can assume tha ... the Git Log into DuckDB Start DuckDB and read the log as a CSV ?SV: CREATE TABLE commits AS FROM read_csv( 'git-log.csv', delim = '?', header = false, column_names = ['timestamp', 'hash', 'author', 'message'] ); This will result in a nice DuckDB tabl ...
https://man.mtool.work/duckdb/2.0/guides/snippets/analyze_git_repository.html
COPY Statement 7225
Examples Read a CSV file into the lineitem table, using auto-detected CSV options: COPY lineitem FROM 'lineitem.csv'; Read a CSV file into the lineitem table, using manually specified CSV options: COPY lineitem FROM 'lineitem.csv' (DELIMITE ... mitting quotes: COPY lineitem FROM lineitem.csv; Write a table to a CSV file: COPY lineitem TO 'lineitem.csv' (FORMAT csv, DELIMITER '|', HEADER); Write a table to a CSV file, using double quotes: COPY lineitem TO "lineitem.csv"; Write a table to a CS ... category FROM 'categories.csv' (HEADER); Copy the contents of lineitem.tbl into the lineitem table, where the contents are delimited by a pipe character ( | ): COPY lineitem FROM 'lineitem.tbl' (DELIMITER '|'); Copy the contents of lineitem.tbl into t ... he lineitem table, where the delimiter, quote character, and presence of a header are automatically detected: COPY lineitem FROM 'lineitem.tbl' (AUTO_DETECT ...
https://man.mtool.work/duckdb/2.0/sql/statements/copy.html
Relational API 6902
The Relational API builds a query one step at a time from Python. A relation, a DuckDBPyRelation , is a piece of SQL text: the methods of the Transformation and Functions sections return a new relation whose text extends the one they were c ... an unknown one raises InvalidInputException . Most are the option of the same name of the SQL read_csv function ; sep and delimiter are delim , dtype is dtypes , na_values is nullstr , skiprows is skip , quotechar is quote , escapechar is escape , da ... files: 'none' , 'gzip' or 'zstd' . Detected from the file extension when omitted. * sep : str, keyword-only, default: None Delimiter between the columns, up to 4 bytes; cannot be combined with delimiter . Detected when omitted. * delimiter : str, keyw ... ead each as one value, 'auto' to detect it. * format : str, keyword-only, default: None 'auto' , 'unstructured' , 'newline_delimited' or 'array' . * date_format : str, keyword-only, default: None Format used to parse dates. * timestamp_format : str, k ...
https://man.mtool.work/duckdb/2.0/clients/python/relational_api.html
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