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* Update rpicam-still.md * Update jello.md * Update dropdb.md * Update aws-eks.md * Update sfdisk.md * Update hyperfine.md * Update quarto.md * Update for.md * Update coproc.md * Update vagrant-validate.md * Update kubetail.md * Update kubetail.md * Update pstoedit.md * Update highlight.md * Update linode-cli-linodes.md * Update swig.md * Update phpcbf.md * Update unzipsfx.md * Update d8.md * Update trdsql.md * Update keyd.md * Update mamba-repoquery.md * Update pages/common/jello.md * Update coproc.md * Apply suggestions from code review Co-authored-by: Lena <126529524+acuteenvy@users.noreply.github.com> * Update pages/common/for.md Co-authored-by: Lena <126529524+acuteenvy@users.noreply.github.com> * Update for.md --------- Co-authored-by: Lena <126529524+acuteenvy@users.noreply.github.com>
32 lines
1.4 KiB
Markdown
32 lines
1.4 KiB
Markdown
# trdsql
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> Execute SQL on CSV, LTSV, JSON, YAML, and TBLN files.
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> More information: <https://noborus.github.io/trdsql/>.
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- Convert object data from multiple JSON files to a CSV file with header (`-oh`) and double quote:
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`trdsql -ocsv -oh "SELECT * FROM {{path/to/file/*.json}}" | sed 's/\([^,]*\)/"&"/g' > {{path/to/file.csv}}`
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- Interpret JSON list as a table and put objects inside as columns (path/to/file.json: `{"list":[{"age":"26","name":"Tanaka"}]}`):
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`trdsql "SELECT * FROM {{path/to/file.json}}::.list"`
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- Manipulate complex SQL query with data from multiple CSV files with first line is header (`-ih`):
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`trdsql -icsv -ih "SELECT {{column1,column2}} FROM {{path/to/file*.csv}} WHERE column2 != '' ORDER BY column1 GROUP BY column1"`
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- Merge content of 2 CSV files to one CSV file:
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`trdsql "SELECT {{column1,colum2}} FROM {{path/to/file1.csv}} UNION SELECT {{column1,column2}} FROM {{path/to/file2.csv}}"`
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- Connect to PostgreSQL database:
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`trdsql -driver postgres -dsn "host={{hostname}} port={{5433}} dbname={{database_name}}" "SELECT 1"`
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- Create table data to MySQL database from CSV file:
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`trdsql -driver mysql -dsn "{{username}}:{{password}}@{{hostname}}/{{database}}" -ih "CREATE TABLE {{table}} ({{column1}} int, {{colum2}} varchar(20)) AS SELECT {{column3}} AS {{column1}},{{column2}} FROM {{path/to/header_file.csv}}"`
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- Show data from compress log files:
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`trdsql -iltsv "SELECT * FROM {{path/to/access.log.gz}}"`
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