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SQLtest.online
Task 92: 
Identify and retrieve all information about machines that do not have an acquisition date recorded in their details (JSON does not contain acquired field).

Write your request in the field below and click the "Check it!" button.

Use SQLite syntax to write your answer. Descriptions of tables are provided at the bottom of the screen.

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Querynomicon (SQLite)

A compact database for learning the basics of SQL.

The Querynomicon database tables:

department - table of departments.
  • identDepartment ID
  • nameDepartment name
  • buildingBuilding name
ident name building
gen Genetics Chesson
little_penguins - table of little penguins.
  • speciesPenguin species
  • islandIsland of residence
  • bill_length_mmBill length, mm
  • bill_depth_mmBill depth, mm
  • flipper_length_mmFlipper length, mm
  • body_mass_gBody mass, g
  • sexSex
species island bill_length_mm bill_depth_mm flipper_length_mm body_mass_g sex
Gentoo Biscoe 52.1 17 230 5550 MALE
penguins - table of penguins.
  • speciesPenguin species
  • islandIsland of residence
  • bill_length_mmBill length, mm
  • bill_depth_mmBill depth, mm
  • flipper_length_mmFlipper length, mm
  • body_mass_gBody mass, g
  • sexSex
species island bill_length_mm bill_depth_mm flipper_length_mm body_mass_g sex
Gentoo Biscoe 52.1 17 230 5550 MALE
staff - table of employees.
  • identEmployee number
  • personalEmployee first name
  • familyEmployee last name
  • deptDepartment
  • ageAge
ident personal family dept age
7 Abram Chokshi gen 23
machine - table of machines.
  • identMachine ID
  • nameMachine name
  • detailsJSON with details
ident name details
1 WY401 {"acquired": "2023-05-01"}
2 Inphormex {"acquired": "2021-07-15", "refurbished": "2023-10-22"}
3 AutoPlate 9000 {"note": "needs software update"}
SQL Essentials for Data Analysis: A 50-Day Hands-on Challenge Book by Benjamin Bennett Alexander
SQL Essentials for Data Analysis: A 50-Day Hands-on Challenge Book by Benjamin Bennett Alexander
If you’re wondering whether you should learn SQL, the answer is simple: absolutely. SQL (Structured Query Language) is the language of data, and data powers every modern business. Whether you’re a data analyst, data scientist, business analyst, software engineer, financial analyst, product manager, or marketing professional, SQL helps you retrieve, analyze, and understand the information that drives decisions.