Martin Cairney SPLIT, MERGE & ELIMINATE. SQL Saturday #572 : Oregon : 22 nd October, 2016
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1 Martin Cairney SPLIT, MERGE & ELIMINATE AN INTRODUCTION TO PARTITIONING SQL Saturday #572 : Oregon : 22 nd October, 2016
2 Housekeeping Mobile Phones please set to stun during the session
3 Connect with the Community Are you a member of PASS? Global Virtual Chapters with online presentations 24 Hours of PASS a major conference online PASS Summit the top SQL Conference in the world SQL Saturdays local free 1-day conferences Local User Groups Sign up at
4 Martin Cairney Microsoft Data Platform MVP Microsoft Certified Trainer Organiser SQL Saturday Melbourne
5 How is data stored? Why do we want to use it? Agenda How do we configure and manage it? Performance and Pitfalls
6 How is data stored?
7 Allocation Units Table / Index Storage In_Row Data LOB Data Row_Overflow Data Each page type is an Allocation Unit (sys.allocation_units) The assignment of pages of each type to a Table is tracked in the IAM pages
8 Hobbits HOBTS Heap Or B-Trees Table without a Clustered Index = HEAP Each Index = B-Tree Each HOBT has at least an In-Row Allocation Unit, and may have the others too (For non-columnstore indexes) No Hobbits were harmed in the making of this slide
9 Partitions Our table and indexes can also be split into a series of ranges on Enterprise Edition Are we there yet??? Each range can be stored on a different FileGroup, but this is not a requirement Crucially each range is a distinct HOBT - so we can have many HOBTS per table
10 How Do They Fit Together? TABLE Index Partition... CLUSTERED INDEX INDEX1 INDEX X... HOBT C-1 HOBT C-Y HOBT 1-1 HOBT 1-Y HOBT X Allocation Unit IN_ROW LOB ROW_OVERFLOW
11
12 How is data stored? DEMO
13 Why Do We Want To Use Partitioning?
14 Benefits Of Partitioning You can transfer or access subsets of data quickly and efficiently, while maintaining the integrity of a data collection. For example, an operation such as loading data from an OLTP to an OLAP system takes only seconds, instead of the minutes and hours the operation takes when the data is not partitioned. Achieved through Partition Switching Normally a meta-data only operation (see the internal structures from previous demos) Requires the same structure and constraints ranges in the non-partitioned table being switched
15 Benefits Of Partitioning You can perform maintenance operations on one or more partitions more quickly. The operations are more efficient because they target only these data subsets, instead of the whole table. For example, you can choose to compress data in one or more partitions or rebuild one or more partitions of an index. A partitioned index can be managed at the partition level In 2016, TRUNCATE can be issued at the partition level Compression can be set at the partition level Incremental statistics stats at the partition level which are merged back into the main histogram If partitions are on separate filegroups, then these can be set read-only, backed up separately, DBCC checks separately
16 Benefits Of Partitioning You may improve query performance, based on the types of queries you frequently run and on your hardware configuration. For example, the query optimizer can process equi-join queries between two or more partitioned tables faster when the partitioning columns in the tables are the same, because the partitions themselves can be joined. You can improve performance by enabling lock escalation at the partition level instead of a whole table. This can reduce lock contention on the table. When the partition key is in the predicate, then partition elimination can occur Tables with the same partition function can benefit from collocated joins effectively each partition joins with the corresponding one, minimising resources for each join
17 Configure & Manage Partitioning
18 Partition Design Partition Function CREATE PARTITION FUNCTION mypf_function (<parameter_type>) AS RANGE [ LEFT RIGHT ] FOR VALUES ( val1, val2, val3,...,valx ) ; <parameter_type> : will match the data type of the column in the table used to partition the table Function Name: must be unique in the database LEFT/RIGHT determines to which side of the boundary the specified values will be located
19 Partition Design Partition Function Range Defintions CREATE PARTITION FUNCTION pf_baddate (date) AS RANGE LEFT FOR VALUES ( , , ) ; CREATE PARTITION FUNCTION pf_gooddate (date) AS RANGE RIGHT FOR VALUES ( , , ) ; Partition 1 Partition 2 Partition 3 Partition 4 Partition 1 Partition 2 Partition 3 Partition
20 Partition Design Partition Scheme CREATE PARTITION SCHEME mypf_scheme AS PARTITION mypf_function [ ALL ] TO ( FG1, FG2, FG3,...,FGx ) ; ALL keyword : if used, only one FileGroup name is specified and all partitions are created on that FileGroup FileGroup list: must have at least as many entries as boundaries in the Partition Function FileGroup list: the same FileGroup can be specified more than once FileGroup list: partitions from the Function are created on FileGroups in the order specified
21 Partition Design How to Partition a Table Create a table on a Partition Scheme and load your data Use the Create Partition Wizard in SSMS. Partitions an existing table by stepping you through your choices. Can create the Partition Function & Scheme as it goes Rebuild the Clustered Index on the Partition Scheme rather than the FileGroup
22 Partition Design Splitting, Merging and Switching SPLIT where we add an additional boundary value in the Partition Function. The Partition where the boundary value would have been placed is then Split into 2 based on the Left/Right definition MERGE where we remove a boundary value from the Partition Function and 2 partitions become one SWITCH we change the definition of the Allocation Unit to belong to a different HOBT, effectively moving the Partition to a different table
23 Partition Design Sliding Window Loads Switching Partitions (1) Split Partition 0 Partition 1 Partition 2 Partition 3 Partition 4 Partition 5 New, empty Partition Partitioned Table NOTE: Empty Partitions at left & right to ensure no need for data movement
24 Partition Design Sliding Window Loads Switching Partitions (1) Split (2) Switch Partition 0 Partition 1 Partition 2 Partition 3 Partition 4 Partition 5 Partitioned Table Load Load Table Load Data to Staging Table
25 Partition Design Sliding Window Loads Switching Partitions (1) Split (2) Switch Partition 0 Partition 1 Partition 2 Partition 3 Partition 4 Partition 5 Partitioned Table Archive Archive Table
26 Partition Design Sliding Window Loads Switching Partitions (1) Split (2) Switch (3) Merge Partition 0 Partition 1 Partition 2 Partition 3 Partition 4 Partition 5 Partitioned Table Archive Archive Table
27 Configure & Manage Partitioning DEMO
28 Performance & Pitfalls
29 Partition Design Performance Choice of Partition Key is Critical What filters/joins are most commonly used? Align non-clustered indexes with the Partition Key What other tables are involved should they also be partitioned
30 Partition Design Performance Achieving Partition Elimination Have to include the Partition column in the predicates
31 Performance & Pitfalls Re-use of the Partition Scheme / Function Wrong choice of RANGE LEFT or RANGE RIGHT may cause unexpected data movement Merging an empty Partition with a non-empty partition may also cause significant data movement Partition Elimination MAY result in more optimised plans but not always. it depends
32 Performance & Pitfalls TRUNCATE permitted at the Partition level Partition Switching is only meta-data, right? Maintenance at the Partition Level. E.g. Index Rebuilds Watch out for aggregates!
33 Performance & Pitfalls DEMO
34 Questions?
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