- From: Kingsley Idehen <kidehen@openlinksw.com>
- Date: Mon, 1 May 2023 17:13:49 -0400
- To: ontolog-forum@googlegroups.com
- Cc: "public-lod@w3.org" <public-lod@w3.org>, "semantic-web@w3.org" <semantic-web@w3.org>
- Message-ID: <6a9be878-2cb9-38c9-5ce3-21f03e622a4c@openlinksw.com>
All, ChatGPT 3.5 is less capable that 4.0, but much faster. Here’s a transcript demonstrating the creation of SQL and SPARQL cheatsheets – that I just generated (whimsically). Transcript Q: Make a simple SQL Cheatsheet. Q: Redo, but using a Table for enhanced presentation. Q: Redo the SQL cheatsheet using a Markdown Table in a code-block. A: Sure, here is the SQL cheatsheet presented in a markdown table inside a code block: Command Description SELECT Retrieves data from one or more tables |SELECT column1, column2, ... FROM table_name;| DISTINCT Retrieves unique values |SELECT DISTINCT column_name FROM table_name;| WHERE Filters records based on a condition |SELECT column1, column2, ... FROM table_name WHERE condition;| AND/OR Combines multiple conditions |SELECT column1, column2, ... FROM table_name WHERE condition1 AND/OR condition2;| ORDER BY Sorts the result set |SELECT column1, column2, ... FROM table_name ORDER BY column_name ASC/DESC;| LIMIT Limits the number of results returned |SELECT column1, column2, ... FROM table_name LIMIT number_of_rows;| JOIN Combines rows from two or more tables based on a related column between them |SELECT column1, column2, ... FROM table1 JOIN table2 ON table1.column_name = table2.column_name;| GROUP BY Groups rows based on a column |SELECT column1, COUNT(column2) FROM table_name GROUP BY column1;| HAVING Filters groups based on a condition |SELECT column1, COUNT(column2) FROM table_name GROUP BY column1 HAVING COUNT(column2) > value;| INSERT INTO Inserts new records into a table |INSERT INTO table_name (column1, column2, ...) VALUES (value1, value2, ...);| UPDATE Modifies existing records in a table |UPDATE table_name SET column1 = value1, column2 = value2, ... WHERE condition;| DELETE FROM Deletes records from a table |DELETE FROM table_name WHERE condition;| I hope this presentation is helpful and easy to read. Q: Redo, with an examples column using Northwind A: Sure, here is an updated SQL cheatsheet presented in a markdown table inside a code block with an additional column for actual usage examples based on the Northwind database schema: Command Description Example SELECT Retrieves data from one or more tables |SELECT ProductName, UnitPrice FROM Products;| DISTINCT Retrieves unique values |SELECT DISTINCT CategoryID FROM Products;| WHERE Filters records based on a condition |SELECT ProductName, UnitPrice FROM Products WHERE UnitPrice > 20;| AND/OR Combines multiple conditions |SELECT ProductName, UnitPrice FROM Products WHERE CategoryID = 1 AND Discontinued = 0;| ORDER BY Sorts the result set |SELECT ProductName, UnitPrice FROM Products ORDER BY UnitPrice DESC;| LIMIT Limits the number of results returned |SELECT ProductName, UnitPrice FROM Products LIMIT 10;| JOIN Combines rows from two or more tables based on a related column between them |SELECT Products.ProductName, Suppliers.CompanyName FROM Products JOIN Suppliers ON Products.SupplierID = Suppliers.SupplierID;| GROUP BY Groups rows based on a column |SELECT CategoryID, COUNT(*) FROM Products GROUP BY CategoryID;| HAVING Filters groups based on a condition |SELECT CategoryID, COUNT(*) FROM Products GROUP BY CategoryID HAVING COUNT(*) > 5;| INSERT INTO Inserts new records into a table |INSERT INTO Products (ProductName, UnitPrice) VALUES ('Chai', 18.00);| UPDATE Modifies existing records in a table |UPDATE Products SET UnitPrice = 20 WHERE ProductID = 1;| DELETE FROM Deletes records from a table |DELETE FROM Products WHERE ProductID = 1;| I hope this updated version of the SQL cheatsheet with examples based on the Northwind database schema is helpful for you to practice with. Q: Repeat, for SPARQL using DBpedia for examples. A: Sure, here is the SPARQL cheatsheet presented in a markdown table inside a code block with an additional column for actual usage examples using DBpedia for the examples: Command Description Example SELECT Retrieves data from one or more RDF graphs |SELECT ?person ?birthdate WHERE { ?person dbo:birthDate ?birthdate } LIMIT 10| DISTINCT Retrieves unique values |SELECT DISTINCT ?category WHERE { ?product dcterms:subject ?category }| WHERE Filters RDF triples based on a condition |SELECT ?film WHERE { ?film rdf:type dbo:Film . ?film dbo:starring dbr:Harrison_Ford . }| FILTER Filters query results based on a condition |SELECT ?film WHERE { ?film rdf:type dbo:Film . ?film dbo:budget ?budget . FILTER(?budget > 100000000) }| UNION Combines the results of two or more queries |SELECT ?name WHERE { { ?person foaf:name ?name } UNION { ?organization foaf:name ?name } }| OPTIONAL Retrieves optional RDF triples |SELECT ?book ?author WHERE { ?book rdf:type dbo:Book . OPTIONAL { ?book dbo:author ?author } }| ORDER BY Sorts the query results |SELECT ?person ?birthdate WHERE { ?person dbo:birthDate ?birthdate } ORDER BY DESC(?birthdate) LIMIT 10| LIMIT Limits the number of results returned |SELECT ?person WHERE { ?person rdf:type dbo:Person } LIMIT 10| GROUP BY Groups query results based on a variable |SELECT ?category (COUNT(?product) AS ?count) WHERE { ?product dcterms:subject ?category } GROUP BY ?category| HAVING Filters groups based on a condition |SELECT ?category (COUNT(?product) AS ?count) WHERE { ?product dcterms:subject ?category } GROUP BY ?category HAVING (COUNT(?product) > 100)| Note: The examples above assume the use of the DBpedia SPARQL endpoint (https://dbpedia.org/sparql). If you want to test these queries, you can use the DBpedia SPARQL endpoint or install your own copy of DBpedia. Q: Redo for SPARQL including DESCRIBE, CONSTRUCT, COPY, and MOVE commands A: Sure, here is the SPARQL cheatsheet presented in a markdown table inside a code block with additional commands and actual usage examples using DBpedia for the examples: Command Description Example SELECT Retrieves data from one or more RDF graphs |SELECT ?person ?birthdate WHERE { ?person dbo:birthDate ?birthdate } LIMIT 10| DISTINCT Retrieves unique values |SELECT DISTINCT ?category WHERE { ?product dcterms:subject ?category }| WHERE Filters RDF triples based on a condition |SELECT ?film WHERE { ?film rdf:type dbo:Film . ?film dbo:starring dbr:Harrison_Ford . }| FILTER Filters query results based on a condition |SELECT ?film WHERE { ?film rdf:type dbo:Film . ?film dbo:budget ?budget . FILTER(?budget > 100000000) }| UNION Combines the results of two or more queries |SELECT ?name WHERE { { ?person foaf:name ?name } UNION { ?organization foaf:name ?name } }| OPTIONAL Retrieves optional RDF triples |SELECT ?book ?author WHERE { ?book rdf:type dbo:Book . OPTIONAL { ?book dbo:author ?author } }| ORDER BY Sorts the query results |SELECT ?person ?birthdate WHERE { ?person dbo:birthDate ?birthdate } ORDER BY DESC(?birthdate) LIMIT 10| LIMIT Limits the number of results returned |SELECT ?person WHERE { ?person rdf:type dbo:Person } LIMIT 10| GROUP BY Groups query results based on a variable |SELECT ?category (COUNT(?product) AS ?count) WHERE { ?product dcterms:subject ?category } GROUP BY ?category| HAVING Filters groups based on a condition |SELECT ?category (COUNT(?product) AS ?count) WHERE { ?product dcterms:subject ?category } GROUP BY ?category HAVING (COUNT(?product) > 100)| DESCRIBE Retrieves RDF triples that describe a resource |DESCRIBE <http://dbpedia.org/resource/Barack_Obama>| CONSTRUCT Generates an RDF graph based on a query pattern |CONSTRUCT { ?book dbo:author ?author } WHERE { ?book rdf:type dbo:Book . ?book dbo:author ?author }| COPY Copies a named graph from one location to another |COPY <http://example.org/graph1> TO <http://example.org/graph2>| MOVE Moves a named graph from one location to another |MOVE <http://example.org/graph1> TO <http://example.org/graph2>| Note: The examples above assume the use of the DBpedia SPARQL endpoint (https://dbpedia.org/sparql). If you want to test these queries, you can use the DBpedia SPARQL endpoint or install your own copy of DBpedia. -- Regards, Kingsley Idehen Founder & CEO OpenLink Software Home Page:http://www.openlinksw.com Community Support:https://community.openlinksw.com Weblogs (Blogs): Company Blog:https://medium.com/openlink-software-blog Virtuoso Blog:https://medium.com/virtuoso-blog Data Access Drivers Blog:https://medium.com/openlink-odbc-jdbc-ado-net-data-access-drivers Personal Weblogs (Blogs): Medium Blog:https://medium.com/@kidehen Legacy Blogs:http://www.openlinksw.com/blog/~kidehen/ http://kidehen.blogspot.com Profile Pages: Pinterest:https://www.pinterest.com/kidehen/ Quora:https://www.quora.com/profile/Kingsley-Uyi-Idehen Twitter:https://twitter.com/kidehen Google+:https://plus.google.com/+KingsleyIdehen/about LinkedIn:http://www.linkedin.com/in/kidehen Web Identities (WebID): Personal:http://kingsley.idehen.net/public_home/kidehen/profile.ttl#i :http://id.myopenlink.net/DAV/home/KingsleyUyiIdehen/Public/kingsley.ttl#this
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Received on Monday, 1 May 2023 21:14:02 UTC