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Posts Tagged ‘SQL’

When I began the project I am currently working on (more details will be provided next month – probably), it was initially intended as a small test to determine the capabilities of AI.  Over the last six months it has turned into something that we might take further. 

But I hit a problem. As a little hobby project I chose the database I really really like – CouchBD.  CouchDB is elegant, simple yet very functional and efficient. Close to the perfect database management system (DBMS).  But to take it further I need to involve other developers and it turs out that CouchDB skills are few and far between. Truly it is the Betamax of DBMSs.

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In a previous post I showed how an AI system (ChatGPT) was an easy way of converting an SQL Schema to a JSON-Schema. It was very successful and could save hours of donkey-work when dealing with a legacy database. I am coding in TypeScript so I asked for a TypeScript schema as well. It also did that perfectly.

I asked Gemini to do the same job.

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I have been working on my hobby project, which is a generic database updating tool. It uses an extension of the JSON-Schema standard. But how do you deal with a new database from a legacy database.

I found a really simple solution, I asked ChatGTP to produce a JSON-Schema based on a database dump – which happily is a set of SQL statements.

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If you are asked to name the most important pioneer in database development, the name Edgar Codd is probably the first name that comes to mind. He pioneered the concept of relational database. But another person deserves credit as well. Nearly a decade earlier Charles Bachman did fundamental work, developing the first database management system.

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A schema means different things for an SQL and a NOSQL database management system. If you are using SQL, you have to tell the system about the format of the data before you can use – that is the schema. When it comes to NOSQL databases everything is different. You don’t need a schema, you simply present data and the system stores it in whatever format you send it.

Each document in a collection1 can be a different layout and different types of data. The flexibility of NOSQL databases suggests that data design is less important. For example I read: “… since NoSQL doesn’t necessitate the need for a schema, you avoid the expense and time of that initial design stage.

I don’t think so

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A schema means different things for an SQL and a NOSQL database management system. If you are using SQL, you have to tell the system about the format of the data before you can use – that is the schema. When it comes to NOSQL databases everything is different. You don’t need a schema, you simply present data and the system stores it in whatever format you send it.

Each document in a collection1 can be a different layout and different types of data. The flexibility of NOSQL databases suggests that data design is less important. For example I read: “… since NoSQL doesn’t necessitate the need for a schema, you avoid the expense and time of that initial design stage.

I don’t think so

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For the last 50 years there has been one and only one way of designing a database.  SQL Database management systems (DBMS) have been the uncontested standard. (A better name is ‘relational’ because SQL is just the name of the language used to access them, but we will stick with it.)
But things have changed in the last 10-15 years. Databases that disobey relational rules are coming into vogue.  The term NOSQL is used for these non-relational databases (the above chart is work in progress, but I have been looking at these systems.) 
What is the difference between classic databases and this new breed? 

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I am getting to the end of stage one in writing a database driver for MongoDB to use in my Lockdown Project sudsjs.com. All has gone well until I get to totalling up a field in the database. I had to enter the wonderful world of aggregation, which is powerful function-rich and confusing. 

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NOSQL databases like MongoDB are making a big splash in the computer industry. But are they set to replace the tried and tested technology of the past fifty years?

Here is my take on it, with a bit of history thrown in.

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