Performance Tuning with SQL Server Dynamic Management Views

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Index F Fragmentation. See Disk Frequently used plans. See Plan reuse H examining 95–97 Heap structure 224 I Identification columns. See sys.dm_exec_requests Idle sessions 51 Inactive sessions 48 Indexing strategy and maintenance 173–217 find missing indexes 200–208 limitations of missing index DMOs 205–206 missing index columns 203 missing index details 203 missing index groups 204 missing index group statistics 204–205 most beneficial missing index 206–208 indexing system catalog views 174–178 index maintenance 208–215 detect & fix fragmentation 213–215 fragmentation statistics 211–213 index fragmentation 209–210 index strategy 179–208 arrow indexes 182–183 clustered indexes and PKs 181 covering indexes 181 high selectivity 182 number of indexes 182 investigating index usage 183–190 322 indexes maintained but not used 187–189 indexes never accessed 186–187 inefficient indexes 190 usage patterns of current indexes 191–200 indexes & lock contention 199–200 indexes not used for user reads 193–194 latch waits 197–198 lock escalations 198–199 locking & blocking at row level 195–196 using the indexing DMOs 179 Insufficient threads. See CPU usage L Latches 318–321 Locking and blocking. See Transactions Logins M with more than one session 47 Memory usage 304–318 in the buffer pool 309–311 memory clerks and memory grants 311–313 process memory use 308–309 system-wide memory usage 306–308 using cache counters 313–318 Metadata 73–114. See also Query plan metadata Monitoring machine characteristics 291–295 N NUMA (Non-Uniform Memory Access) 302 O OS and hardware interaction 265–323
P Performance counters 277–291 average number of operations completed 289–291 deprecated feature use 282–283 directly usable counter types 280–283 monitor auto-grow/auto-shrink events 281–282 PERF_AVERAGE_BULK 289 PERF_COUNTER_BULK_COUNT 286 PERF_COUNTER_LARGE_RAWCOUNT 280 PERF_LARGE_RAW_FRACTION 283 per second averages 286–289 providing ratios 283–286 Performance Monitor (PerfMon) 29 Performance tuning with DMOs. See Dynamic Management Object (DMO) Physical I/O. See Disk Plan handles 54 return plan using sys.dm_exec_text_query_plan 86–87 Plan reuse 91–98 plan reuse distribution curve 92–95 Point-in-time data 25–27 Profiler 28 Q Queries ad hoc query returning SQL text of 58–61 aggregate query optimization Statistics 111–114 query execution statistics 101–108 323 Query plan attributes 98–101 Query plan metadata 73–114 R overview of DMOs for, 76–78 READ_COMMITTED_SNAPSHOT mode 150 Read/write ratio 251–259 data read versus written 253–255 Index number of read and write operations 255–256 number of reads and writes at the table level 256–259 Requests 52–70 Rows S investigating work done by 64–66 number of rows in a table 228 number of rows per partition 228–231 scheduler. See CPU usage server scoped objects 20 Sessions identify inactive sessions 48–50 idle sessions with orphaned transactions 51–52 session-level settings 45–46 with context switching 48 Single-use plans examining 97–114 Snapshot isolation. See Transactions SNAPSHOT mode 150 sp_who, sp_who2 30, 67–70, 120 SQL and plan handles 54 plan handle 84 SQL handle 84
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High Performance SQL Server Perform
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Copyright Louis Davidson and Tim Fo
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Dissecting user activity ..........
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Getting Stats about tempdb Usage ..
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Server (PASS) since 2002. He has al
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Tim Ford I dedicate this book to Am
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13 Introduction on those objects th
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Code Examples 15 Introduction Throu
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Chapter 1: Using Dynamic Management
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DMO Security and Permissions Chapte
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We can find out, for example: Chapt
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Beware of the watcher effect Chapte
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Chapter 2: Connections, Sessions an
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Sysprocesses versus DMOs Chapter 2:
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Listing 2.3: Who is connected? Chap
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Listing 2.4: Who is executing what
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Logins with more than one session C
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DECLARE @days_old SMALLINT SELECT @
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• dbcc shrinkdatabase / shrinkfil
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This will return (with a different
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Who is running what, right now? Cha
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Summary Chapter 2: Connections, Ses
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73 Chapter 3: Query Plan Metadata P
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75 Chapter 3: Query Plan Metadata P
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77 Chapter 3: Query Plan Metadata t
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79 Chapter 3: Query Plan Metadata U
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SELECT TOP 10 object_id , name FROM
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Dissecting the SQL text 83 Chapter
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Figure 3.2: Three queries returned
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87 Chapter 3: Query Plan Metadata T
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89 Chapter 3: Query Plan Metadata
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Criteria in determing plan reuse 91
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For a server that had been up for t
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Listing 3.9: Investigating the most
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SELECT FirstName , LastName FROM db
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99 Chapter 3: Query Plan Metadata C
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Listing 3.14: Finding the CPU-inten
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WHERE execText.text like '%account%
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115 Chapter 4: Transactions We'll a
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117 Chapter 4: Transactions unique
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Snapshot isolation level 119 Chapte
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121 Chapter 4: Transactions • res
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Lock types 123 Chapter 4: Transacti
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125 Chapter 4: Transactions • Sha
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127 Chapter 4: Transactions SELECT
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129 Chapter 4: Transactions If, fro
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131 Chapter 4: Transactions The LEF
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133 Chapter 4: Transactions When in
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135 Chapter 4: Transactions column.
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137 Chapter 4: Transactions some po
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139 Chapter 4: Transactions OPENTRA
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141 Chapter 4: Transactions In this
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143 Chapter 4: Transactions time on
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145 Chapter 4: Transactions process
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INNER JOIN sys.dm_tran_session_tran
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149 Chapter 4: Transactions Any DML
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SELECT SD.[name] , SD.snapshot_isol
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153 Chapter 4: Transactions In othe
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155 Chapter 4: Transactions just th
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157 Chapter 4: Transactions Open a
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FROM dbo.Culture ; -- COMMIT; Listi
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161 Chapter 4: Transactions In orde
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163 Chapter 4: Transactions In shor
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Using sys.dm_tran_version_store 165
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167 Chapter 4: Transactions In List
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sys.dm_tran_top_version_generators
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171 Chapter 4: Transactions Via que
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Chapter 5: Indexing Strategy and Ma
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High selectivity Chapter 5: Indexin
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Identify inefficient indexes Chapte
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Listing 5.9: Retrieving locking and
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Missing index groups Chapter 5: Ind
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Listing 5.13: Finding beneficial mi
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ORDER BY ddips.[avg_fragmentation_i
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Summary Chapter 5: Indexing Strateg
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Chapter 6: Physical Disk Statistics
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Tuning the Disk I/O Subsystem Chapt
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The view returns the statistical co
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The sys.dm_db_index_physical_stats
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The NEWSEQUENTIALID() function Chap
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CREATE TABLE testHeap ( testHeapId
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Viewing pending I/O requests Chapte
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Amount of data read versus written
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The results are as follows: Chapter
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263 Chapter 7: OS and Hardware Inte
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Finding the most common waits 267 C
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Page 279 and 280: WHERE cntr_type = @PERF_COUNTER_LAR
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Page 307 and 308: As stated by Books Online: 307 Chap
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