LINO is a simple ETL (Extract Transform Load) tools to manage tests datas. The lino command line tool pull test data from a relational database to create a smallest production-like database.

lino command line work in relative project's directory, like git or docker

$ mkdir myproject
$ cd myproject

A DataConnector is a database connection shortcut.

$ lino dataconnector add source postgresql://postgres:sakila@localhost:5432/postgres?sslmode=disable
successfully added dataconnector {source postgresql://postgres:sakila@localhost:5432/postgres?sslmode=disable}

Lino use a connection string following an URL Schema.

<databaseVendor>://[<user>[:<password>]]@<host>/<database>

Currently supported vendors are :

• postgresql
• oracle
• oracle-raw (for full TNS support oracle-raw://user:pwd@(DESCRIPTION=(ADDRESS=(PROTOCOL=TCP)(HOST=dbhost.example.com)(PORT=1521))(CONNECT_DATA=(SERVICE_NAME=orclpdb1))))

The content of dataconnector.yml generated is

version: v1
dataconnectors:
  - name: source
    url: postgresql://postgres:sakila@localhost:5432/postgres?sslmode=disable

LINO create a consistent sample database. To perform extraction that respect foreign keys constraints LINO have to extract relationships between tables.

Use the relation sub-command or its short name rel to extract relations from foreign key constraints.

$ lino relation extract source
lino finds 40 relations from constraints

The content of relations.yml generated is

version: v1
relations:
  - name: film_original_language_id_fkey
    parent:
        name: public.film
        keys:
          - original_language_id
    child:
        name: public.language
        keys:
          - language_id
  - name: film_language_id_fkey
.
.
.

At least user can edit the relations.yml manually to add relations that are not part of the database model.

The table action extract informations about tables.

$ lino table extract source
lino finds 15 table(s)

lino store the table description in table.yml file :

version: v1
tables:
  - name: public.actor
    keys:
      - actor_id
  - name: public.address
    keys:
      - address_id
  - name: public.category
    keys:

Ingress descriptor object describe how lino has to go through the relations to extract data test.

To create ingress descriptor use the id sub-command with the start table of the extraction.

$ lino id create public.customer
successfully created ingress descriptor

lino store the new ingress descriptor in ingress-descriptor.yml file :

version: v1
IngressDescriptor:
    startTable: public.customer
    relations:
      - name: film_original_language_id_fkey
        parent:
            name: public.film
            lookup: false
        child:
            name: public.language

The display-plan utilities explain the lino's plan to extract data from database.

$ lino id display-plan
step 1 - extract rows from public.customer
step 2 - extract rows from public.store following →customer_store_id_fkey relationship for rows extracted at step 1, then follow →store_manager_staff_id_fkey →staff_store_id_fkey relationships (loop until data exhaustion)
step 3 - extract rows from public.address following →staff_address_id_fkey relationship for rows extracted at step 2
step 4 - extract rows from public.city following →address_city_id_fkey relationship for rows extracted at step 3
.
.
.

The show-graph create a graph of tables as node and relation as edge.

$ lino id customer show-graph

lino open your browser to visualize graph generated.

The pull sub-command create a json object for each line (jsonline format http://jsonlines.org/) of the first table.

$ lino pull source
{"active":1,"activebool":true,"address_id":5,"create_date":"2006-02-14T00:00:00Z","customer_address_id_fkey":{"address":"1913 Hanoi Way","address2":"","address_city_id_fkey":{"city":"Sasebo","city_country_id_fkey":{"country":"Japan","country_id":50,"last_update":"2006-02-15T09:44:00Z"},"city_id":463,"country_id":50,"last_update":"2006-02-15T09:45:25Z"},"address_id":5,"city_id":463,"district":"Nagasaki","last_update":"2006-02-15T09:45:30Z","phone":"28303384290","postal_code":"35200"},"customer_id":1,"customer_store_id_fkey":{"address_id":1,"last_update":"2006-02-15T09:57:12Z","manager_staff_id":1,"store_address_id_fkey":{"address":"47 MySakila Drive","address2":null,"address_city_id_fkey":{"city":"Lethbridge","city_country_id_fkey":{"country":"Canada","country_id":20,"last_update":"2006-02-15T09:44:00Z"},"city_id":300,"country_id":20,"last_update":"2006-02-15T09:45:25Z"},"address_id":1,"city_id":300,"district":"Alberta","last_update":"2006-02-15T09:45:30Z","phone":"","postal_code":""},"store_id":1,"store_manager_staff_id_fkey":{"active":true,"address_id":3,"email":"[email protected]","first_name":"Mike","last_name":"Hillyer","last_update":"2006-05-16T16:13:11.79328Z","password":"8cb2237d0679ca88db6464eac60da96345513964","picture":"iVBORw0KWgo=","staff_address_id_fkey":{"address":"23 Workhaven Lane","address2":null,"address_city_id_fkey":{"city":"Lethbridge","city_country_id_fkey":{"country":"Canada","country_id":20,"last_update":"2006-02-15T09:44:00Z"},"city_id":300,"country_id":20,"last_update":"2006-02-15T09:45:25Z"},"address_id":3,"city_id":300,"district":"Alberta","last_update":"2006-02-15T09:45:30Z","phone":"14033335568","postal_code":""},"staff_id":1,"store_id":1,"username":"Mike"}},"email":"[email protected]","first_name":"MARY","last_name":"SMITH","last_update":"2006-02-15T09:57:20Z","store_id":1}

To sample a database from a given id list or ohter criteria LINO can read filters from a JSON Line file with the argument --filter-from-file.

Each line is a filter and lino apply it to the start table to extract data.

--filter argument overide filter's criteria from file.

--limit is applied for each line in filters file. With a filters's file of N lines and a limit of L lino could extract a maximum of N x L lines.

--where argument is a raw SQL clause criteria (without where keyword) applied to the start table only. It's combined with --filter or --filter-from-file with the and operator.

The push sub-command import a json line stream (jsonline format http://jsonlines.org/) in each table, following the ingress descriptor defined in current directory.

LINO respect the UNIX philosophy and use standards input an output to share data with others tools.

Data set could be store in mongoDB easily with the mongoimport tool:

$ lino pull source --limit 100 | mongoimport --db myproject --collection customer

and reload later to a database :

$ mongoexport --db myproject --collection customer | lino push customer --jdbc jdbc:oracle:thin:scott/tiger@target:1721:xe

mlr tool can be used to format json lines into another tabular format (csv, markdown table, ...).

jq tool can be piped with the LINO output to prettify it.

$ lino pull source | jq

Pull sub field from the JSON stream

$ lino pull source --limit 3 | jq ".email"
"[email protected]"
"[email protected]"
"[email protected]"

Project subfield to produce other JSON objects

$ lino pull source --limit 3 | jq '{ "manager": .customer_store_id_fkey.store_manager_staff_id_fkey.first_name , "customer_email" :  .email }'

{
  "manager": "Mike",
  "customer_email": "[email protected]"
}
{
  "manager": "Mike",
  "customer_email": "[email protected]"
}
{
  "manager": "Mike",
  "customer_email": "[email protected]"
}

Download the last binary release in your path.

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Copyright (C) 2021 CGI France

LINO is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

LINO is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.

You should have received a copy of the GNU General Public License along with LINO. If not, see http://www.gnu.org/licenses/.