In this article, we will demonstrate specific ways to automate table partitioning in SQL Server. This article aims to help you avoid manual table activities of partition maintenance by automating it with T-SQL scripts and SQL Server jobs.
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The real-life requirement
Disclaimer: I assume dear Reader, that you are more than familiar with the general concept of partitioning and star schema modeling. The intended audience is people who used to be called BI developers in the past (with a good amount of experience), but they have all sorts of different titles nowadays that I can’t keep up with… I won’t provide a full Visual Studio solution that you can download and just run without any changes or configuration, but I will give you code can be used after parameterizing according to your own environment.
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In SQL Server, when talking about table partitions, basically, SQL Server doesn’t directly support hash partitions. It has an own logically built function using persisted computed columns for distributing data across horizontal partitions called a Hash partition.
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I would like to share one curios case that I recently came across.
Long story short:
This bug may lead to incorrect results if you use a partitioned table and the FORCESCAN hint.
Consider the following example, let’s keep it simple.
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The idea behind this article is to discuss the importance and the implication of SQL Partition and understand the SQL truncate command partitioning enhancements in SQL 2016
One of the biggest challenges for a DBA is to identify the right candidate for table partitioning, as it requires expertise in design and implementation.
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In the articles How to partition an SSAS Cube in Analysis Services Multidimensional and Benefits of Partitioning an SSAS Multidimensional Cube, the concept of measure group partitioning is introduced and the advantages are clearly illustrated. One of the biggest advantages of partitioning is partition elimination, where only the partitions necessary to satisfy the query are read instead of all the data.
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In the article How to partition an SSAS Cube in Analysis Services Multidimensional, we explained how you can partition your measure groups in an SSAS cube. In this article, we’ll look at the expected benefits of the partition strategy. Time to reap the benefits of our hard work.
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Partitioning is the concept where you divide your data from one logical unit into separate physical chunks. This can have several advantages, such as improved performance or easier maintenance. You can for example partition a table in a SQL Server database, but you can also partition your measure groups inside an Analysis Services (SSAS) Multidimensional cube. In this article, we’ll discuss how you can set-up partitioning. For more information about the expected benefits, take a look at Benefits of Partitioning your SSAS Multidimensional Cube.
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If you are maintaining a very large database, you might be well aware of the pain to perform update statistics on a very large table.
This article introduces incremental statistics which is available from SQL Server 2014 highly simplifies statistics management on very large partitioned tables.
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I work for a large, multinational financial institution. Like most companies in this field, ours is conservative and subject to much regulatory oversight. The first has meant that we’re slow to adopt new technologies. We need to be really, really, really sure things won’t break, customer accounts won’t vanish or lose their balances and that the regulators will not raise any red flags. Everything we do is subject to the scrutiny of our internal auditors, even something that seems simple, like rerunning a production job that failed because the host compute was down. I really mean everything!
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SQL Server table partitioning is a great feature that can be used to split large tables into multiple smaller tables, transparently. It allows you to store your data in many filegroups and keep the database files in different disk drives, with the ability to move the data in and out the partitioned tables easily. A common example for tables partitioning is archiving old data to slow disk drives and use the fast ones to store the frequently accessed data. Table partitioning improves query performance by excluding the partitions that are not needed in the result set. But table partitioning is available only in the Enterprise SQL Server Edition, which is not easy to upgrade to for most of small and medium companies due to its expensive license cost.
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The Partition feature was introduced in the SQL Server 2005. This article is to cover how partitioning can be useful when it comes to archiving of SQL Server data in a database. Please note that this article does not cover how partitioning works and its configurations in detail.
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Partitioning is the database process where very large tables are divided into multiple smaller parts. By splitting a large table into smaller, individual tables, queries that access only a fraction of the data can run faster because there is less data to scan. The main of goal of partitioning is to aid in maintenance of large tables and to reduce the overall response time to read and load data for particular SQL operations.
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