Author: Markus WinandPublisher: Markus WinandPages: 204ISBN: 9825Audience: Database developersRating: 4Reviewer: Joe CelkoCovers issues of performance for all major SQL databases.I met author Markus Winand at the, held in Prague on October 23-26, 2012, and he gave me an English copy of this book, which is also available in German. He asked me a good question about my books: why don't I ever discuss indexing or performance?My reason is simple; I do books on ANSI/ISO Standard SQL and the Standards have never had any mention of access methods. The syntax that everyone uses is “CREATE INDEX ON ;” came from the XOpen and SQL Access consortia of vendors. Yes, the ANSI X3H2 Committee and these two groups (which later merged) had a lot of overlapping membership.Click book cover for details from the book's siteTerminology and implementations for indexing varies from product to product.

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1. Sql Performance Explained Pdf File

This book gives code in MySQL, Postgres, a little DB2, SQL Server and Oracle, but uses the Oracle terminology. This range of products pretty much covers every indexing option in use today. The book then proceeds to go into details that programmers my age have forgotten and younger programmers were never taught. The discussion on indexes gives the usual description of how they work and balance. But then we get discussions on what causes slow indexes, the limitations of function based indexes, over-indexing, how to search for and not just simple equality. We look at when and why column order matters.

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There are a ton of common anti-patterns in DDL that mess up indexing and performance. The discussions of JOIN Operations (Nested Loops, Hash Join, Sort-Merge Join, Clustering Data, Sorting and Grouping, etc) is surprisingly detailed.Perhaps the best material is the debunking of common myths that are spread out in the book: “Indexes Can Degenerate”, “Most Selective First”, 'Oracle Cannot Index NULL” and “Dynamic SQL is Slow' are some examples. You will probably be surprised how many things you believe without being conscious of it.This book is definitively worth having in the company library.A pdf ebook is also available.More Details.

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You book looks a great introduction to database indexing. Thank you for sharing it online for free. However, I must take issue with the statement in the preface, 'As it turns out, the only thing developers need to know to write efficient SQL is how indexes work.'

The first part of any solution should be identifying the problem. Quite often once this is done, yes, indexing is the answer, but let's not skip that first step.The first chapter of Optimizing Oracle Performance by Cary Millsap should be required reading for all programmers. It's not actually specific to Oracle or just database programming, and it's online for free too:. Briefly, the method proposed is 1) Ask the user what is slow.

Sql Performance Explained Pdf File

2) Measure it carefully. 3) Optimize only the part that would have the greatest impact. 4) Repeat.tl;dr: Indexing is a great arrow in your quiver, but first you need to know where the target is. Established a model that is easy to get good performance from.That's the point.

Most of the time, schema design means table design. But the missing step is 'access design'. How will you access(query) the data? That's what finally results in index design, which means to think about the different ways the data will is queried and to design the least number of indexes that can support the most often executed queries.I'd say that only about 1/20 problem queries that I fix end up with a new index being created. On a big, busy data warehouse.I believe that, because it's DWH.

DWH = Star-Schema = Bitmap index = one index per column = easy (yes, that's oversimplified:)I am more from the OLTP world, it's quite different there. But the missing step is 'access design'.Yeah, I'd add to that: accesses for different kinds of processes (small surgical requests, huge table scans, etc), roll-off (you may have to purge 1 month of data at a time), backup/recovery, and security.I believe that, because it's DWH. DWH = Star-Schema = Bitmap index = one index per column = easy (yes, that's oversimplified:) I am more from the OLTP world, it's quite different there.Yes, it's different. I actually use very little indexing in a star-schema: there's indexes on many dimensional columns - but most dimensions are so small they don't need an index. There's typically less than 6 btree indexes on the fact tables - because the performance/capacity of building/storing them is expensive, and they often don't get used anyway.So, performance isn't so much managed through indexing. It's managed through parallelism (rules out mysql), partitioning, and aggregation. Then a few select indexes.