Let's shit on SQL a bit more.
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@ -8,42 +8,93 @@ DODB is a database-as-library, enabling a very simple way to store applications'
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To speed-up searches, attributes of these documents can be used as indexes which leads to create a few symbolic links
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.I symlinks ) (
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on the disk.
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.br
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This document briefly presents DODB and its main differences with other database engines.
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An experiment is described and analysed to understand the performance that can be expected from this approach.
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.ABSTRACT2
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.SINGLE_COLUMN
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.SECTION Introduction to DODB
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A database consists in managing data, enabling queries (preferably fast) to retrieve, to modify, to add and to delete a piece of information.
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Anything else is
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.UL accessory .
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Universities all around the world teach about Structured Query Language (SQL) and relational databases.
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.
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.de PRIMARY_KEY
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.I \\$1 \\$2 \\$3
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..
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.de FOREIGN_KEY
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.I \\$1 \\$2 \\$3
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..
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The main idea of relational databases is to put data into
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.UL "Relational databases"
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are built around the idea to put data into
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.I tables ,
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with typed columns so the database can optimize operations and storage.
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A database is a list of tables with relations between them.
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For example, let's imagine a database of a
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For example, let's imagine a database of a movie theater.
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The database will have a
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.I table
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can contain a list of users (their age, height, job, etc.).
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When another
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for the list of movies they have
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.PRIMARY_KEY idmovie , (
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title, duration, synopsis),
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a table for the scheduling
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.PRIMARY_KEY idschedule , (
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.FOREIGN_KEY idmovie ,
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.FOREIGN_KEY idroom ,
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time slot),
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a table for the rooms
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.PRIMARY_KEY idroom , (
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name), etc.
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Tables have relations, for example the table "scheduling" has a column
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.I idmovie
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which points to entries in the "movie" table.
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The SQL language enables arbitrary operations on databases: add, modify and delete entries.
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Furthermore, SQL enables even to manage administrative operations of the databases themselves: managing users with fine-grained authorizations, creating databases and tables, etc.
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.UL "The SQL language"
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enables arbitrary operations on databases: add, search, modify and delete entries.
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Furthermore, SQL also enables to manage administrative operations of the databases themselves: creating databases and tables, managing users with fine-grained authorizations, etc.
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This language is used in applications to perform operations on the database, binding the code with the database.
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SQL is also used
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.UL outside
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the application, by admins for managing databases and potentially by some technical users to retrieve some data without a dedicated interface\*[*].
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.FOOTNOTE1
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One of the first objectives of SQL was to enable a class of
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.I non-developer
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users to talk directly to the database so they can access the data without bothering the developers.
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.FOOTNOTE2
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Many tools were used or even developed over the years specifically to aleviate the inherent complexity and limitations of SQL.
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For example, Unified Modeling Language (UML) is used to design databases by providing a graphical overview of the relations between tables.
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SQL databases can be scripted to automate operations and provide a massive speed up to the operations (
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.I "stored procedures" ,
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For example, designing databases becomes difficult when the list of tables grows;
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Unified Modeling Language (UML) is then used to provide a graphical overview of the relations between tables.
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SQL databases may be fast to retrieve data despite complicated operations, but when multiple sequential operations are required they become slow because of all the back-and-forths with the application;
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thus, SQL databases can be scripted to automate operations and provide a massive speed up
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.I "stored procedures" , (
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see
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.I "PL/SQL" ),
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etc.
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.I "PL/SQL" ).
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Writing SQL requests requires a lot of boiletplate since there is no integration in the programming languages, leading to multiple function calls for any operation on the database;
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thus, object-relational mapping (ORM) libraries were created to reduce the massive code duplication.
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And so on.
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For many reasons, SQL is not a silver bullet to
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.I solve
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the database problem.
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The encountered difficulties mentioned above and the original objectives of SQL not being universal\*[*], other database designs were created\*[*].
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.FOOTNOTE1
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To say the least!
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Not everyone needs to let users access the database without going through the application.
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For instance, writing a \f[I]blog\f[] for a small event or to share small stories about your life doesn't require manual operations on the database, fortunately.
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.FOOTNOTE2
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.FOOTNOTE1
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A lot of designs won't be mentioned here.
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The actual history of databases is often quite unclear since the categories of databases are sometimes vague, underspecified.
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As mentioned, SQL is not a silver bullet and a lot of developers shifted towards other solutions, that's the important part.
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.FOOTNOTE2
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.TBD
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The
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Document-oriented databases are key-value stores.
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Furthermore, metadata is extracted for further optimization.
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Contrary to SQL, DODB has a very narrow scope: to provide
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Contrary to SQL, DODB has a very narrow scope: to provide a library enabling to store, retrieve, modify and delete data to the application.
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Thus, DODB doesn't provide an interactive shell, no request language to perform arbitrary operations on the database, etc.
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.SECTION Basic usage
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@ -1,6 +1,6 @@
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.\" .RP = report document
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.nr PO 0.5i \" page offset default 1i
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.nr LL 7.5i \" line length default 6i
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.nr LL 7.0i \" line length default 6i
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.nr FM 0.8i \" page foot margin default 1i
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.nr DI 0
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.nr FF 3 \" footnotes' type: numbered, with point, indented
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@ -188,7 +188,8 @@ accumulate
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..
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.de SINGLE_COLUMN
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.1C
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.FOOTNOTE_TO_COLUMN_WIDTH
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.\" .FOOTNOTE_TO_COLUMN_WIDTH
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.nr FL (\n[LL]*97/100)
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..
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.de TWO_COLUMNS
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.2C
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