GSoC - proposal - Materialized Views in PostgreSQL - Mailing list pgsql-hackers
From | pavelbaros |
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Subject | GSoC - proposal - Materialized Views in PostgreSQL |
Date | |
Msg-id | hpo33i$7am$1@news.hub.org Whole thread Raw |
Responses |
Re: GSoC - proposal - Materialized Views in
PostgreSQL
Re: GSoC - proposal - Materialized Views in PostgreSQL Re: GSoC - proposal - Materialized Views in PostgreSQL Re: GSoC - proposal - Materialized Views in PostgreSQL |
List | pgsql-hackers |
Hello, I am sending my proposal on GSoC. Details are listed below. Please, if you have ideas, tips, or if you only want to say you opinion about my project, go ahead. thanks, Pavel Baros Abstract: It is effort to implement snapshot materialized view (are only updated when refreshed) in PostgreSQL. In this time I finished some part of it and I am trying to publish my present work on git.postgresql.org Benefits to the PostgreSQL Community First of all, it would be the best if my work is helpful to everybody who misses materialized views in PostgreSQL, because PostgreSQL do not have still implemented materialized views. In addition, MV is mentioned as feature in TODO list. Deliverables First of all, at the end of whole my project is not only writing bachelors thesis, but finish it as patch and if possible, get patch into next PostgrSQL release, or keep git repository actual to last PosgreSQL version. I have also personal goals. Arouse the interest about implementing MV in PostgreSQL, or at least arouse discussion about it. Project Schedule My work goes quite good, I am on good way to finish main parts on backend in few weeks. After that I will make and run tests and implement related changes to PosgreSQL tools (psql, pg_dump, etc.). I am also waiting for approval for my repository named "materialized_view" on git.postgresql.org, so I could publish completed parts. For now next step will be to discuss implementation on postgresql.hackers. Bio I am from Czech Republic and I am studying on Faculty of Electrical Engineering on Czech Technical University in Prague www.fel.cvut.cz/en/. My bachelor thesis is based on this project, implementing MV in PostgreSQL. I've experienced many different jobs. The best experience for me was, when I've worked as tester and software engineer in C/C++ and C# for Radiant Systems Inc. for more than year. After that I've worked as Web developer with Internet technologies (PHP, HTML, CSS, ...), where the goal was to make an internal system for an advertising agency. Finally my recent job was as Windows Mobile Developer. Except the first experience, others lasts only few months mainly because those were temporary projects. For now I am looking for some part time job, of course, preferably something closer to database systems. Implementation: could be divided to few steps: 1) create materialized view - modify grammar (parser): CREATE MATERIALIZED VIEW mv_name AS SELECT ... - change executor, so that it will create physical table defined by select statement 2) change rewriter - usually, view is relation with defined rule and when rewriting, rule is fired and relation (view) is replaced by definition of view. If relation do not have rule, planner and executor behave to it as physical table (relation). In case of materialized view we want to rewrite select statement only in case when we refreshing MV. In other cases rewriter should skip rewriting and pick up physical relation. Exclude situation when other rewrite rules which are not related to MV definition are specified. 3) create command that takes snapshot (refresh MV) - modify grammar: ALTER MATERIALIZED VIEW mv_name REFRESH; - taking snapshot (refreshing) is similar to command "SELECT INTO ..." and I decided to follow the way it works. After parsing query and before transformation is MANUALLY created tree representation of "SELECT * INTO ..." with flag IntoClause->isrefresh set true, indicating it is refreshing materialized view. Everithing acts as it would be regular "SELECT INTO ..." except functions OpenIntoRel() and CloseIntoRel(). In function OpenIntoRel is created temp table (without catalog) and set as destination for result of select. In function CloseIntoRel executor swap relfilenode's of temp table and original table and finally delete temp table. Behavior of CloseIntoRel function is inspired by CLUSTER statement. Contacts: baros.p@seznam.cz
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