A tool that can execute SQL queries on CSV, LTSV, JSON and TBLN.
It is a tool like q , textql and others.
The difference from these tools is that the syntax of PostgreSQL or MySQL can be used.
Please refer to godoc and _example for usage as a library.
go get -d github.com/noborus/trdsql
cd $GOPATH/src/github.com/noborus/trdsql
make
make install
Or download binaries from the releases page(Linux/Windows/macOS).
$ trdsql [options] SQL
-config
filename Configuration file location.-db
db name Specify db name of the setting.-dblist
Display db list of configure.-driver
driver name database driver. [ mysql | postgres | sqlite3 ]-dsn
dsn string database connection option.-debug
debug print.-help
display usage information.-version
display version information.-q
filename Read query from the provided filename.
-ig
Guess format from extension(default).-icsv
CSV format for input.-ijson
JSON format for input.-iltsv
LTSV format for input.-itbln
TBLN format for input.
-ih
The first line is interpreted as column names(CSV only).-id
delimiter character(CSV only) Field delimiter for input. (default ",")-is
int Skip header row.-ir
int Number of row pre-read for column determination. (default 1)
-ocsv
CSV format for output. (default)-ojson
JSON format for output.-oltsv
LTSV format for output.-oat
ASCII Table format for output.-omd
Mark Down format for output.-oraw
Raw format for output.-ovf
Vertical format for output.-otbln
TBLN format for output.
-oh
Output column name as header.-od
delimiter character Field delimiter for output. (default ",")
test.csv file.
1,Orange
2,Melon
3,Apple
Please write a file name like a table name.
$ trdsql "SELECT * FROM test.csv"
-q filename can execute SQL from file
$ trdsql -q test.sql
"-" or "stdin" is received from standard input instead of file name.
$ ps | trdsql -id " " "SELECT * FROM -"
or
$ ps | trdsql -id " " "SELECT * FROM stdin"
Multiple matched files can be executed as one table.
$ 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).
Files with the file name suffix of ".gz" are automatically expanded.
$ trdsql "SELECT * FROM testdata/test.csv.gz"
It is possible to mix uncompressed and compressed files using wildcards.
$ trdsql "SELECT * FROM testdata/test.csv*"
If the number of columns is not a constant, read and decide multiple rows.
$ trdsql -ir 3 -iltsv "SELECT * FROM test_indefinite.ltsv"
1,Orange,50,,
2,Melon,500,ibaraki,
3,Apple,100,aomori,red
-id "\t" is input from TSV (Tab Separated Value)
1 Orange
2 Melon
3 Apple
$ trdsql -id "\t" "SELECT * FROM test-tab.csv"
-od "\t" is TSV (Tab Separated Value) output.
$ trdsql -od "\t" "SELECT * FROM test.csv"
1 Orange
2 Melon
3 Apple
LTSV (Labeled Tab-separated Values)
-iltsv is input from LTSV(Labeled Tab-separated Values).
sample.ltsv
id:1 name:Orange price:50
id:2 name:Melon price:500
id:3 name:Apple price:100
$ trdsql -iltsv "SELECT * FROM sample.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.
$ 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
[
{
"id": "1",
"name": "Orange",
"price": "50"
},
{
"id": "2",
"name": "Melon",
"price": "500"
},
{
"id": "3",
"name": "Apple",
"price": "100"
}
]
$ 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
[
{
"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" }
}
]
$ 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.
$ 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
Another json format. One record is JSON.
sample2.json
{
"id": "1",
"name": "Orange",
"price": "50"
}
{
"id": "2",
"name": "Melon",
"price": "500"
}
{
"id": "3",
"name": "Apple",
"price": "100"
}
-ojson is JSON Output.
$ trdsql -ojson "SELECT * FROM test.csv"
[
{
"c1": "1",
"c2": "Orange"
},
{
"c1": "2",
"c2": "Melon"
},
{
"c1": "3",
"c2": "Apple"
}
]
-itbln is input from TBLN.
sample.tbln
; name: | id | name |
; type: | int | text |
| 1 | Bob |
| 2 | Alice |
$ trdsql -itbln "SELECT * FROM sample.tbln"
1,Bob
2,Alice
TBLN file reflects extras name and type.
-otbln is TBLN Output.
$ 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 https://tbln.dev/ for details of TBLN.
-oraw is Raw Output. It is used when "escape processing is unnecessary" in CSV output. (For example, when outputting JSON in the database).
$ 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.
$ trdsql -oraw -od "\t|\t" -db pdb "SELECT * FROM test.csv"
1 | Orange
2 | Melon
3 | Apple
-oat is ASCII table output. It uses tablewriter.
$ trdsql -oat "SELECT * FROM test.csv"
+----+--------+
| C1 | C2 |
+----+--------+
| 1 | Orange |
| 2 | Melon |
| 3 | Apple |
+----+--------+
-omd is Markdown output.
$ trdsql -omd "SELECT * FROM test.csv"
| C1 | C2 |
|----|--------|
| 1 | Orange |
| 2 | Melon |
| 3 | Apple |
-ovf is Vertical format output("column name | value" vertically).
$ trdsql -ovf "SELECT * FROM test.csv"
---[ 1]--------------------------------------------------------
c1 | 1
c2 | Orange
---[ 2]--------------------------------------------------------
c1 | 2
c2 | Melon
---[ 3]--------------------------------------------------------
c1 | 3
c2 | Apple
$ trdsql "SELECT count(*) FROM test.csv"
3
The default column names are c1, c2,...
$ trdsql "SELECT c2,c1 FROM test.csv"
Orange,1
Melon,2
Apple,3
"- ih" sets the first line to column name
$ ps |trdsql -ih -oh -id " " "SELECT \"TIME\",\"TTY\",\"PID\",\"CMD\" FROM -"
TIME,TTY,PID,CMD
00:00:00,pts/20,3452,ps
00:00:00,pts/20,3453,trdsql
00:00:05,pts/20,15576,zsh
The SQL JOIN can be used.
user.csv
1,userA
2,userB
hist.csv
1,2017-7-10
2,2017-7-10
2,2017-7-11
$ 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 connection information for dsn.
$ trdsql -driver postgres -dsn "dbname=test" "SELECT count(*) FROM test.csv "
The PostgreSQL driver can use the window function.
$ 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.
$ trdsql -driver postgres -dsn "dbname=test" "SELECT generate_series(1,3);"
1
2
3
Test database has a colors table.
$ psql test -c "SELECT * FROM colors"
id | name
----+--------
1 | orange
2 | green
3 | red
(3 rows)
Join table and CSV file.
$ 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...".
$ trdsql -driver postgres -dns "dbname=test" "CREATE TABLE fruits (id, name) AS SELECT c1::int, c2 FROM fruits.csv "
$ 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.
$ trdsql -driver mysql -dsn "user:password@/test" "SELECT GROUP_CONCAT(c2 ORDER BY c2 DESC) FROM testdata/test.csv"
"g,d,a"
$ 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.
You can specify driver and dsn in the configuration file.
Unix like.
${HOME}/.config/trdsql/config.json
Windows (ex).
C:\Users\{"User"}\AppData\Roaming\trdsql\config.json
Or use the -config file option.
$ trdsql -config config.json "SELECT * FROM test.csv"
sample: config.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.
$ 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.
package main
import (
"log"
"github.com/noborus/trdsql"
)
func main() {
trd := trdsql.NewTRDSQL(
trdsql.NewImporter(trdsql.InDelimiter(":")),
trdsql.NewExporter(trdsql.NewWriter()),
)
err := trd.Exec("SELECT c1 FROM /etc/passwd")
if err != nil {
log.Fatal(err)
}
}
Please refer to godoc and _example for usage as a library.
MIT
Please check each license of SQL driver.