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https://github.com/noborus/trdsql
CLI tool that can execute SQL queries on CSV, LTSV, JSON, YAML and TBLN. Can output to various formats.
https://github.com/noborus/trdsql
cli csv go golang json jsonl ltsv mysql postgresql sql sqlite3 tbln trdsql yaml
Last synced: 2 days ago
JSON representation
CLI tool that can execute SQL queries on CSV, LTSV, JSON, YAML and TBLN. Can output to various formats.
- Host: GitHub
- URL: https://github.com/noborus/trdsql
- Owner: noborus
- License: mit
- Created: 2017-07-03T17:55:52.000Z (over 7 years ago)
- Default Branch: master
- Last Pushed: 2024-10-28T03:46:56.000Z (about 2 months ago)
- Last Synced: 2024-10-29T14:54:24.366Z (about 1 month ago)
- Topics: cli, csv, go, golang, json, jsonl, ltsv, mysql, postgresql, sql, sqlite3, tbln, trdsql, yaml
- Language: Go
- Homepage: https://noborus.github.io/trdsql/
- Size: 3.28 MB
- Stars: 2,002
- Watchers: 21
- Forks: 77
- Open Issues: 14
-
Metadata Files:
- Readme: README.md
- Funding: .github/FUNDING.yml
- License: LICENSE
Awesome Lists containing this project
- awesome-cli-tui-software - noborus/trdsql - CLI tool that can execute SQL queries on CSV, LTSV, JSON and TBLN. Can output to various formats. (<a name="data"></a>data)
- awesome-golang-repositories - trdsql
README
# trdsql
[](https://pkg.go.dev/github.com/noborus/trdsql)
[](https://goreportcard.com/report/github.com/noborus/trdsql)
[](https://raw.githack.com/wiki/noborus/trdsql/coverage.html)
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trdsql is a CLI tool that can execute SQL queries on [CSV](https://tools.ietf.org/html/rfc4180),
[LTSV](http://ltsv.org/), [JSON](https://tools.ietf.org/html/rfc7159), [YAML](https://yaml.org/) and [TBLN](https://tbln.dev/) files.
This tool is similar to others such as [q](https://github.com/harelba/q) and [textql](https://github.com/dinedal/textql), with a key distinction: it allows the use of PostgreSQL or MySQL syntax.
For usage as a library, please refer to the [godoc](https://pkg.go.dev/github.com/noborus/trdsql) and the provided examples.
* 1. [INSTALL](#install)
* 1.1. [go get](#go-get)
* 1.1.1. [Requirements](#requirements)
* 1.2. [Download binary](#download-binary)
* 1.3. [Homebrew](#homebrew)
* 1.4. [MacPorts](#macports)
* 1.5. [FreeBSD](#freebsd)
* 1.6. [Cgo free](#cgo-free)
* 2. [Docker](#docker)
* 2.1. [Docker pull](#docker-pull)
* 2.2. [image build](#image-build)
* 2.3. [Docker Run](#docker-run)
* 3. [Usage](#usage)
* 3.1. [Global options](#global-options)
* 3.2. [Input formats](#input-formats)
* 3.2.1. [Input options](#input-options)
* 3.3. [Output formats](#output-formats)
* 3.3.1. [Output options](#output-options)
* 3.4. [Handling of NULL](#handling-of-null)
* 3.5. [Multiple queries](#multiple-queries)
* 4. [Example](#example)
* 4.1. [STDIN input](#stdin-input)
* 4.2. [Multiple files](#multiple-files)
* 4.3. [Compressed files](#compressed-files)
* 4.4. [Output file](#output-file)
* 4.5. [Output compression](#output-compression)
* 4.6. [Guess by output file name](#guess-by-output-file-name)
* 4.7. [Columns is not constant](#columns-is-not-constant)
* 4.8. [TSV (Tab Separated Value)](#tsv-(tab-separated-value))
* 4.9. [LTSV (Labeled Tab-separated Values)](#ltsv-(labeled-tab-separated-values))
* 4.10. [JSON](#json)
* 4.10.1. [jq expression](#jq-expression)
* 4.11. [JSONL(NDJSON)](#jsonl(ndjson))
* 4.12. [YAML](#yaml)
* 4.13. [TBLN](#tbln)
* 4.14. [WIDTH](#width)
* 4.15. [TEXT](#text)
* 4.16. [Raw output](#raw-output)
* 4.17. [ASCII Table & MarkDown output](#ascii-table-&-markdown-output)
* 4.18. [Vertical format output](#vertical-format-output)
* 5. [SQL](#sql)
* 5.1. [SQL function](#sql-function)
* 5.2. [JOIN](#join)
* 5.3. [PostgreSQL](#postgresql)
* 5.3.1. [Function](#function)
* 5.3.2. [Join table and CSV file is possible](#join-table-and-csv-file-is-possible)
* 5.4. [MySQL](#mysql)
* 5.5. [Analyze](#analyze)
* 5.6. [Configuration](#configuration)
* 6. [Library](#library)
* 7. [See also](#see-also)
* 8. [Learn More](#learn-more)
* 9. [License](#license)
```console
go get -d github.com/noborus/trdsql
cd $GOPATH/src/github.com/noborus/trdsql
make
make install
```
go 1.19 or higher.
Download binary from the [releases](https://github.com/noborus/trdsql/releases) page(Linux/Windows/macOS).
```console
brew install noborus/tap/trdsql
```
```console
sudo port selfupdate
sudo port install trdsql
```
[freshports](https://www.freshports.org/textproc/trdsql/)
```console
pkg install trdsql
```
Typically, [go-sqlite3](https://github.com/mattn/go-sqlite3) is used for building.
However, if you're building with `CGO_ENABLED=0`, consider using [sqlite](https://gitlab.com/cznic/sqlite) instead.
Building without CGO (CGO Free) can reduce issues related to cross-compiling, but it may result in slower execution times.
Pull the latest image from the Docker hub.
```console
docker pull noborus/trdsql
```
Or build it yourself.
```console
docker build -t trdsql .
```
Docker run.
```console
docker run --rm -it -v $(pwd):/tmp trdsql [options and commands]
```
To use trdsql, you can either specify an SQL query or simply provide a file for conversion.
```console
trdsql [options] SQL
```
For file conversion, this is equivalent to executing 'trdsql -o[output format] "SELECT * FROM filename"'.
```console
trdsql -o[output format] -t [input filename]
```
* `-a` **filename** analyze the file and suggest SQL.
* `-A` **filename** analyze the file but only suggest SQL.
* `-config` **filename** configuration file location.
* `-db` **db name** specify db name of the setting.
* `-dblist` display db list of configure.
* `-driver` **string** database driver. [ mysql | postgres | sqlite3 | sqlite(CGO Free) ] (default "sqlite3")
* `-dsn` **string** database driver specific data source name.
* `-debug` debug print.
* `-help` display usage information.
* `-q` **filename** read query from the specified file.
* `-t` **filename** read table name from the specified file.
* `-version` display version information.
* `-ig` guess format from extension. (default)
* `-icsv` CSV format for input.
* `-ijson` JSON format for input.
* `-iltsv` LTSV format for input.
* `-iyaml` YAML format for input.
* `-itbln` TBLN format for input.
* `-iwidth` width specification format for input.
* `-itext` text format for input.
* `-ih` the first line is interpreted as column names(CSV only).
* `-id` **character** field delimiter for input(default ",")(CSV only).
* `-ijq` **string** jq expression string for input(JSON/JSONL only).
* `-ilr` **int** limited number of rows to read.
* `-inull` **string** value(string) to convert to null on input.
* `-inum` add row number column.
* `-ir` **int** number of rows to preread. (default 1)
* `-is` **int** skip header row.
* `-ocsv` CSV format for output. (default)
* `-ojson` JSON format for output.
* `-ojsonl` JSONL(JSON Lines) format for output.
* `-oltsv` LTSV format for output.
* `-oat` ASCII Table format for output.
* `-omd` Markdown format for output.
* `-oraw` Raw format for output.
* `-ovf` Vertical format for output.
* `-oyaml` YAML format for output.
* `-otbln` TBLN format for output.
Or, [guess the output format by file name](#Guessbyoutputfilename).
* `-out` **filename** output file name.
* `-out-without-guess` output without guessing (when using -out).
* `-oh` output column name as header.
* `-od` **character** field delimiter for output. (default ",")(CSV and RAW only).
* `-oq` **character** quote character for output. (default "\"")(CSV only).
* `-oaq` enclose all fields in quotes for output(CSV only).
* `-ocrlf` use CRLF for output. End each output line with '\\r\\n' instead of '\\n'."(CSV only).
* `-onowrap` do not wrap long columns(AT and MD only).
* `-onull` value(string) to convert from null on output.
* `-oz` **string** compression format for output. [ gzip | bz2 | zstd | lz4 | xz ]
NULL is undecided in many text formats.
JSON `null` is considered the same as SQL `NULL`.
For formats other than JSON, you must specify a string that is considered NULL.
In most cases you will need to specify an empty string ("").
If `-inull ""` is specified, an empty string will be treated as SQL NULL.
SQL NULL is an empty string by default. Specify the -onull "(NULL)" option if you want a different string.
```console
$ echo "1,,v" | trdsql -inull "" -onull "(NULL)" "SELECT * FROM -"
1,(NULL),v
```
In the case of JSON, null is NULL as it is, and the specified string is converted to NULL.
```console
$ echo '[1,null,""]' | trdsql -inull "" -ojson -ijson "SELECT * FROM -"
[
{
"c1": "1"
},
{
"c1": null
},
{
"c1": null
}
]
```
Multiple queries can be executed by separating them with a semicolon.
Update queries must be followed by a SELECT statement.
```console
$ trdsql "UPDATE SET c2='banana' WHERE c3='1';SELECT * FROM test.csv"
1,Orange
2,Melon
3,banana
```
You can perform multiple SELECTs, but the output will be in one format.
```console
$ trdsql -oh "SELECT c1,c2 FROM test.csv;SELECT c2,c1 FROM test.csv"
c1,c2
1,Orange
2,Melon
3,Apple
c2,c1
Orange,1
Melon,2
Apple,3
```
test.csv file.
```csv
1,Orange
2,Melon
3,Apple
```
Please write a file name like a table name.
```console
trdsql "SELECT * FROM test.csv"
```
`-q filename` can execute SQL from file
```console
trdsql -q test.sql
```
"`-`" or "`stdin`" is received from standard input instead of file name.
```console
cat test.csv | trdsql "SELECT * FROM -"
```
or
```console
cat test.csv | trdsql "SELECT * FROM stdin"
```
Multiple matched files can be executed as one table.
```console
$ trdsql -ih "SELECT * FROM tt*.csv"
1,test1
2,test2
3,test3
```
> [!NOTE]
> It is not possible to mix different formats (ex: CSV and LTSV).
If the file is compressed with gzip, bz2, zstd, lz4, xz, it will be automatically uncompressed.
```console
trdsql "SELECT * FROM testdata/test.csv.gz"
```
```console
trdsql "SELECT * FROM testdata/test.csv.zst"
```
It is possible to mix uncompressed and compressed files using wildcards.
```console
trdsql "SELECT * FROM testdata/test.csv*"
```
`-out filename` option to output the file to a file.
```console
trdsql -out result.csv "SELECT * FROM testdata/test.csv ORDER BY c1"
```
`-oz compression type` to compress and output.
```console
trdsql -oz gz "SELECT * FROM testdata/test.csv ORDER BY c1" > result.csv.gz
```
### 4.6. Guess by output file name
The filename of `-out filename` option determines
the output format(csv, ltsv, json, tbln, raw, md, at, vf, jsonl)
and compression format(gzip, bz2, zstd,lz4, xz) by guess.
Guess by extension output format + output compression
(eg .csv.gz, .ltsv.lz4, .md.zst ...).
The following is an LTSV file compressed in zstd.
```console
trdsql -out result.ltsv.zst "SELECT * FROM testdata/test.csv"
```
### 4.7. Columns is not constant
If the number of columns is not a constant, read and decide multiple rows.
```console
$ trdsql -ir 3 -iltsv "SELECT * FROM test_indefinite.ltsv"
1,Orange,50,,
2,Melon,500,ibaraki,
3,Apple,100,aomori,red
```
### 4.8. TSV (Tab Separated Value)
`-id "\\t"` is input from TSV (Tab Separated Value)
```tsv
1 Orange
2 Melon
3 Apple
```
```console
trdsql -id "\t" "SELECT * FROM test-tab.csv"
```
`-od "\\t"` is TSV (Tab Separated Value) output.
```console
$ trdsql -od "\t" "SELECT * FROM test.csv"
1 Orange
2 Melon
3 Apple
```
### 4.9. LTSV (Labeled Tab-separated Values)
`-iltsv` is input from LTSV(Labeled Tab-separated Values).
sample.ltsv
```ltsv
id:1 name:Orange price:50
id:2 name:Melon price:500
id:3 name:Apple price:100
```
```console
trdsql -iltsv "SELECT * FROM sample.ltsv"
```
```ltsv
1,Orange,50
2,Melon,500
3,Apple,100
```
> [!NOTE]
> Only the columns in the first row are targeted.
`-oltsv` is LTSV(Labeled Tab-separated Values) output.
```console
$ trdsql -iltsv -oltsv "SELECT * FROM sample.ltsv"
id:1 name:Orange price:50
id:2 name:Melon price:500
id:3 name:Apple price:100
```
`-ijson` is input from JSON.
sample.json
```json
[
{
"id": "1",
"name": "Orange",
"price": "50"
},
{
"id": "2",
"name": "Melon",
"price": "500"
},
{
"id": "3",
"name": "Apple",
"price": "100"
}
]
```
```console
$ trdsql -ijson "SELECT * FROM sample.json"
1,Orange,50
2,Melon,500
3,Apple,100
```
JSON can contain structured types, but trdsql is stored as it is as JSON string.
sample2.json
```json
[
{
"id": 1,
"name": "Drolet",
"attribute": { "country": "Maldives", "color": "burlywood" }
},
{
"id": 2,
"name": "Shelly",
"attribute": { "country": "Yemen", "color": "plum" }
},
{
"id": 3,
"name": "Tuck",
"attribute": { "country": "Mayotte", "color": "antiquewhite" }
}
]
```
```console
$ trdsql -ijson "SELECT * FROM sample2.json"
1,Drolet,"{""color"":""burlywood"",""country"":""Maldives""}"
2,Shelly,"{""color"":""plum"",""country"":""Yemen""}"
3,Tuck,"{""color"":""antiquewhite"",""country"":""Mayotte""}"
```
Please use SQL function.
* [SQLite3 - JSON Functions And Operators](https://www.sqlite.org/json1.html)
* [PostgreSQL - JSON Functions and Operators](https://www.postgresql.org/docs/current/functions-json.html)
* [MySQL - Functions That Search JSON Values](https://dev.mysql.com/doc/refman/8.0/en/json-search-functions.html)
```console
$ trdsql -ijson "SELECT id, name, JSON_EXTRACT(attribute,'$.country'), JSON_EXTRACT(attribute,'$.color') FROM sample2.json"
1,Drolet,Maldives,burlywood
2,Shelly,Yemen,plum
3,Tuck,Mayotte,antiquewhite
```
If json has a hierarchy, you can filter by [jq](https://stedolan.github.io/jq/) expression.
The jq expression is implemented using [gojq](https://github.com/itchyny/gojq).
menu.json
```json
{
"menu": {
"id": "file",
"value": "File",
"popup": {
"menuitem": [
{
"value": "New",
"onclick": "CreateDoc()"
},
{
"value": "Open",
"onclick": "OpenDoc()"
},
{
"value": "Save",
"onclick": "SaveDoc()"
}
]
}
}
}
```
You can write a jq expression by connecting :: after the json file name.
Enclose the jq expression in double quotes if needed.
```console
trdsql -oat 'SELECT value, onclick FROM menu.json::".menu.popup.menuitem"'
```
Or specify with the `-ijq` option.
```console
$ trdsql -oat -ijq ".menu.popup.menuitem" "SELECT * FROM menu.json"
+-------+-------------+
| value | onclick |
+-------+-------------+
| New | CreateDoc() |
| Open | OpenDoc() |
| Save | SaveDoc() |
+-------+-------------+
```
Example to use instead of [gojq](https://github.com/itchyny/gojq#usage).
```sh
$ echo '{"foo": 128}' | trdsql -ijson "SELECT * FROM -::'.foo'"
128
$ echo '{"a": {"b": 42}}' | trdsql -ijson "SELECT * FROM -::'.a.b'"
42
$ echo '{"id": "sample", "10": {"b": 42}}' | trdsql -ijson "SELECT * FROM -::'{(.id): .[\"10\"].b}'"
42
$ echo '[{"id":1},{"id":2},{"id":3}]' | trdsql -ijson "SELECT * FROM -::'.[] | .id'"
1
2
3
$ echo '{"a":1,"b":2}' | trdsql -ijson "SELECT * FROM -::'.a += 1 | .b *= 2'"
4,2
$ echo '{"a":1} [2] 3' | trdsql -ijson "SELECT * FROM -::'. as {\$a} ?// [\$a] ?// \$a | \$a'"
1
2
3
```
Another json format. JSONL(JSON Lines). It is also called [ndjson](http://ndjson.org/).
sample2.json
```json
{"id": "1","name": "Orange","price": "50"}
{"id": "2","name": "Melon","price": "500"}
{"id": "3","name": "Apple","price": "100"}
```
`-ojson` is JSON Output.
```console
$ trdsql -ojson "SELECT * FROM test.csv"
[
{
"c1": "1",
"c2": "Orange"
},
{
"c1": "2",
"c2": "Melon"
},
{
"c1": "3",
"c2": "Apple"
}
]
```
To output in JSONL, specify `-ojsonl`.
```console
$ trdsql -ojsonl "SELECT * FROM test.csv"
{"c1":"1","c2":"Orange"}
{"c1":"2","c2":"Melon"}
{"c1":"3","c2":"Apple"}
```
`-iyaml` is input from YAML
(Or if the extension is `yaml` or `yml`, it is considered a YAML file).
sample.yaml
```yaml
- id: 1
name: Orange
price: 50
- id: 2
name: Melon
price: 500
- id: 3
name: Apple
price: 100
```
```console
$ trdsql -iyaml -ocsv "SELECT * FROM sample.yaml"
1,Orange,50
2,Melon,500
3,Apple,100
```
Since yaml is internally converted to JSON, it can be converted to json and output.
sample2.yaml
```yaml
a: true
b:
c: 2
d: [3, 4, 5]
e:
- name: fred
value: 3
- name: sam
value: 4%
```
```console
$ trdsql -ojson "SELECT * FROM sample2.yaml"
[
{
"a": "true",
"b": {
"c": 2,
"d": [
3,
4,
5
],
"e": [
{
"name": "fred",
"value": 3
},
{
"name": "sam",
"value": "4%"
}
]
}
}
]
```
So in addition you can also use `jq` syntax.
```console
$ trdsql -ojson "SELECT * FROM sample2.yaml::.b.e"
[
{
"name": "fred",
"value": "3"
},
{
"name": "sam",
"value": "4%"
}
]
```
json can be converted to yaml.
```console
$ trdsql -ojson "SELECT * FROM sample2.yaml::.b.e"
- name: fred
value: 3
- name: sam
value: 4%
```
`-itbln` is input from TBLN.
sample.tbln
```TBLN
; name: | id | name |
; type: | int | text |
| 1 | Bob |
| 2 | Alice |
```
```console
$ trdsql -itbln "SELECT * FROM sample.tbln"
1,Bob
2,Alice
```
TBLN file reflects extras name and type.
`-otbln` is TBLN Output.
```console
$ trdsql -otbln "SELECT c1::int as id, c2::text as name FROM test.csv"
; created_at: 2019-03-22T13:20:31+09:00
; name: | id | name |
; type: | int | text |
| 1 | Orange |
| 2 | Melon |
| 3 | Apple |
```
TBLN can contain column names and type definitions.
Please refer to for details of TBLN.
`-iwidth` inputs the format specifying the width.
This is used when the header column width represents the body column width.
```console
$ ps | trdsql -oh -iwidth "SELECT * FROM -"
PID,TTY,TIME,CMD
302965,pts/3,00:00:12,zsh
733211,pts/3,00:00:00,ps
733212,pts/3,00:00:00,tee
733213,pts/3,00:00:00,guesswidth
```
`-id " "` for `CSV` also works in many cases.
But `-id " "` does not recognize spaces in columns very well.
`-iwidth` recognizes column widths and space separators.
The `-itext` option or files with “.text”extension are in text format.
This is a one line to one column format.
A blank line is also a line, unlike the `CSV` format.
```console
$ cat test.text
a
b
c
$ trdsql -itext "SELECT * FROM test.text"
a
b
c
```
It is useful in conjunction with the -inum option.
```console
$ trdsql -inum "SELECT * FROM test.text"
1,a
2,
3,b
4,
5,c
```
`-oraw` is Raw Output.
It is used when "escape processing is unnecessary" in CSV output.
(For example, when outputting JSON in the database).
```console
$ trdsql -oraw "SELECT row_to_json(t,TRUE) FROM test.csv AS t"
{"c1":"1",
"c2":"Orange"}
{"c1":"2",
"c2":"Melon"}
{"c1":"3",
"c2":"Apple"}
```
Multiple delimiter characters can be used for raw.
```console
$ trdsql -oraw -od "\t|\t" -db pdb "SELECT * FROM test.csv"
1 | Orange
2 | Melon
3 | Apple
```
### 4.17. ASCII Table & MarkDown output
`-oat` is ASCII table output.
```console
$ trdsql -oat "SELECT * FROM test.csv"
+----+--------+
| C1 | C2 |
+----+--------+
| 1 | Orange |
| 2 | Melon |
| 3 | Apple |
+----+--------+
```
`-omd` is Markdown output.
```console
$ trdsql -omd "SELECT * FROM test.csv"
| C1 | C2 |
|----|--------|
| 1 | Orange |
| 2 | Melon |
| 3 | Apple |
```
The `-onowrap` option does not wrap long columns in `at` or `md` output.
### 4.18. Vertical format output
-ovf is Vertical format output("column name | value" vertically).
```console
$ trdsql -ovf "SELECT * FROM test.csv"
---[ 1]--------------------------------------------------------
c1 | 1
c2 | Orange
---[ 2]--------------------------------------------------------
c1 | 2
c2 | Melon
---[ 3]--------------------------------------------------------
c1 | 3
c2 | Apple
```
```console
$ trdsql "SELECT count(*) FROM test.csv"
3
```
The default column names are c1, c2,...
```console
$ trdsql "SELECT c2,c1 FROM test.csv"
Orange,1
Melon,2
Apple,3
```
> [!NOTE]
> the available functions and their syntax depend on the driver you have chosen (mysql or postgres or sqlite). The default one is sqlite.
The SQL JOIN can be used.
user.csv
```csv
1,userA
2,userB
```
hist.csv
```csv
1,2017-7-10
2,2017-7-10
2,2017-7-11
```
```console
$ trdsql "SELECT u.c1,u.c2,h.c2 FROM user.csv as u LEFT JOIN hist.csv as h ON(u.c1=h.c1)"
1,userA,2017-7-10
2,userB,2017-7-10
2,userB,2017-7-11
```
When using PostgreSQL, specify postgres for driver
and driver-specific data source name for dsn.
```console
trdsql -driver postgres -dsn "dbname=test" "SELECT count(*) FROM test.csv "
```
The PostgreSQL driver can use the window function.
```console
$ trdsql -driver postgres -dsn "dbname=test" "SELECT row_number() OVER (ORDER BY c2),c1,c2 FROM test.csv"
1,3,Apple
2,2,Melon
3,1,Orange
```
For example, the generate_series function can be used.
```console
$ trdsql -driver postgres -dsn "dbname=test" "SELECT generate_series(1,3);"
1
2
3
```
#### 5.3.2. Join table and CSV file is possible
Test database has a colors table.
```console
$ psql test -c "SELECT * FROM colors"
id | name
----+--------
1 | orange
2 | green
3 | red
(3 rows)
```
Join table and CSV file.
```console
$ trdsql -driver postgres -dsn "dbname=test" "SELECT t.c1,t.c2,c.name FROM test.csv AS t LEFT JOIN colors AS c ON (t.c1::int = c.id)"
1,Orange,orange
2,Melon,green
3,Apple,red
```
To create a table from a file, use "CREATE TABLE ... AS SELECT...".
```console
trdsql -driver postgres -dns "dbname=test" "CREATE TABLE fruits (id, name) AS SELECT c1::int, c2 FROM fruits.csv "
```
```console
$ psql -c "SELECT * FROM fruits;"
id | name
----+--------
1 | Orange
2 | Melon
3 | Apple
(3 rows)
```
When using MySQL, specify mysql for driver and connection information for dsn.
```console
$ trdsql -driver mysql -dsn "user:password@/test" "SELECT GROUP_CONCAT(c2 ORDER BY c2 DESC) FROM testdata/test.csv"
"g,d,a"
```
```console
$ trdsql -driver mysql -dsn "user:password@/test" "SELECT c1, SHA2(c2,224) FROM test.csv"
1,a063876767f00792bac16d0dac57457fc88863709361a1bb33f13dfb
2,2e7906d37e9523efeefb6fd2bc3be6b3f2991678427bedc296f9ddb6
3,d0b8d1d417a45c7c58202f55cbb617865f1ef72c606f9bce54322802
```
MySQL can join tables and CSV files as well as PostgreSQL.
The ***-a filename*** option parses the file and outputs table information and SQL examples.
```console
$ trdsql -a testdata/test.ltsv
The table name is testdata/header.csv.
The file type is CSV.
Data types:
+-------------+------+
| column name | type |
+-------------+------+
| id | text |
| \`name\` | text |
+-------------+------+
Data samples:
+----+----------+
| id | \`name\` |
+----+----------+
| 1 | Orange |
+----+----------+
Examples:
trdsql -db sdb -ih "SELECT id, \`name\` FROM testdata/header.csv"
trdsql -db sdb -ih "SELECT id, \`name\` FROM testdata/header.csv WHERE id = '1'"
trdsql -db sdb -ih "SELECT id, count(id) FROM testdata/header.csv GROUP BY id"
trdsql -db sdb -ih "SELECT id, \`name\` FROM testdata/header.csv ORDER BY id LIMIT 10"
```
Other options(-id,-ih,-ir,-is,icsv,iltsv,-ijson,-itbln...) are available.
```console
trdsql -ih -a testdata/header.csv
```
Similarly, with ***-A filename*** option, only Examples (SQL) is output.
```console
$ trdsql -ih -A testdata/header.csv
trdsql -ih "SELECT id, \`name\` FROM testdata/header.csv"
trdsql -ih "SELECT id, \`name\` FROM testdata/header.csv WHERE id = '1'"
trdsql -ih "SELECT id, count(id) FROM testdata/header.csv GROUP BY id"
trdsql -ih "SELECT id, \`name\` FROM testdata/header.csv ORDER BY id LIMIT 10"
```
You can specify driver and dsn in the configuration file.
Unix like.
```path
${HOME}/.config/trdsql/config.json
```
Windows (ex).
```path
C:\Users\{"User"}\AppData\Roaming\trdsql\config.json
```
Or use the -config file option.
```console
trdsql -config config.json "SELECT * FROM test.csv"
```
sample: [config.json](config.json.sample)
```json
{
"db": "pdb",
"database": {
"sdb": {
"driver": "sqlite3",
"dsn": ""
},
"pdb": {
"driver": "postgres",
"dsn": "user=test dbname=test"
},
"mdb": {
"driver": "mysql",
"dsn": "user:password@/dbname"
}
}
}
```
The default database is an entry of "db".
If you put the setting in you can specify the name with -db.
```console
$ trdsql -debug -db pdb "SELECT * FROM test.csv"
2017/07/18 02:27:47 driver: postgres, dsn: user=test dbname=test
2017/07/18 02:27:47 CREATE TEMPORARY TABLE "test.csv" ( c1 text,c2 text );
2017/07/18 02:27:47 INSERT INTO "test.csv" (c1,c2) VALUES ($1,$2);
2017/07/18 02:27:47 SELECT * FROM "test.csv"
1,Orange
2,Melon
3,Apple
```
Example of use as a library.
```go
package main
import (
"log"
"github.com/noborus/trdsql"
)
func main() {
trd := trdsql.NewTRDSQL(
trdsql.NewImporter(trdsql.InDelimiter(":")),
trdsql.NewExporter(trdsql.NewWriter()),
)
if err := trd.Exec("SELECT c1 FROM /etc/passwd"); err != nil {
log.Fatal(err)
}
}
```
Please refer to [godoc](https://pkg.go.dev/github.com/noborus/trdsql) and _example for usage as a library.
* [psutilsql](https://github.com/noborus/psutilsql) - A tool for querying system status in SQL.
* [mdtsql](https://github.com/noborus/mdtsql) - A tool for querying markdown tables in SQL.
* [xlsxsql](https://github.com/noborus/xlsxsql) - A tool for querying Excel files in SQL.
* https://noborus.github.io/trdsql/index.html
* https://cn.x-cmd.com/pkg/trdsql#trdsql
* https://x-cmd.com/1min/trdsql#trdsql
MIT
Please check each license of SQL driver.
* [SQLite](https://github.com/mattn/go-sqlite3)
* [MySQL](https://github.com/go-sql-driver/mysql)
* [PostgreSQL](https://github.com/lib/pq)