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2011, Tuesday December 6

Automatic JOIN query

In mORMot, all the methods available to handle many-to-many relationship (ManySelect, DestGetJoined...) are used to retrieve the relations between tables from the pivot table point of view. This saves bandwidth, and can be used in most simple cases, but it is not the only way to perform requests on many-to-many relationships. And you may have several TSQLRecordMany instances in the same main record - in this case, those methods won't help you.

It is very common, in the SQL world, to create a JOINed request at the main "Source" table level, and combine records from two or more tables in a database. It creates a set that can be saved as a table or used as is. A JOIN is a means for combining fields from two or more tables by using values common to each. Writing such JOINed statements is not so easy by hand, especially because you'll have to work with several tables, and have to specify the exact fields to be retrieved; if you have several pivot tables, it may start to be a nightmare.

Let's see how our ORM will handle it.

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2011, Sunday July 3

"Sharding" or "Share nothing" architecture

Here is what wikipedia states at http://en.wikipedia.org/wiki/Shared_nothing_architecture:

A shared nothing architecture (SN) is a distributed computing architecture in which each node is independent and self-sufficient, and there is no single point of contention across the system. People typically contrast SN with systems that keep a large amount of centrally-stored state information, whether in a database, an application server, or any other similar single point of contention.

This is just one approach of "sharding". Sharding is indeed related to a shared nothing architecture - once sharded, each shard can live in a totally separate logical schema instance.
"I sharded, therefore it scales"...

You can do this in Delphi... and opens a new world of scaling opportunities... Just as Google, Facebook, or eBay do... 

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2010, Monday December 13

SQLite3 Framework updated to 1.11 - including engine 3.7.4

The Synopse SQLite3 Database Framework was just released under version 1.11:

- internal SQLite3 database engine is updated to version 3.7.4;
- new TSQLRecordMany to handle "has many" and "has many through" relationships;
- new TSQLRecordFTS4 class, to handle the new FTS4 extension module;
- new RANK() function available in SQL statements for ranking FTS3/FTS4;
- introduces new TSQLite3DB, TSQLite3Statement, TSQLite3Blob, TSQLite3Value and TSQLite3FunctionContext types to clarify SQLite3 internal handle usage;
- new sqlite3_busy_timeout and sqlite3_busy_handler low-level functions, with new TSQLDataBase.BusyTimeout property;
- now handles User Defined Functions, via sqlite3_create_function_v2 and corresponding sqlite3_result_* functions;
- new MOD() and SOUNDEX() functions available in SQL statements;
- a lot of code refactoring, speed improvements, numerous fixes, new methods.

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2010, Thursday October 28

"has many" and "has many through" relationships

Extracted from wikipedia, here is a definition of 'many to many' relationships in regular database management:

In systems analysis, a many-to-many relationship is a type of cardinality that refers to the relationship between two entities (see also Entity-Relationship Model) A and B in which A may contain a parent row for which there are many children in B and vice versa. For instance, think of A as Authors, and B as Books. An Author can write several Books, and a Book can be written by several Authors. Because most database management systems only support one-to-many relationships, it is necessary to implement such relationships physically via a third and fourth junction table, say, AB with two one-to-many relationships A -> AB and B -> AB. In this case the logical primary key for AB is formed from the two foreign keys (i.e. copies of the primary keys of A and B).

In our SQLite3 framework, we just created a dedicated class for handling such "many to many" relationships.

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