Will my workload run faster with In-Memory OLTP?
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1 Will my workload run faster with In-Memory OLTP? Ned Otter SQL Strategist
2 Thank you Sponsors!
3 Will my workload run faster with In-Memory OLTP?
4 Will my workload run faster with In-Memory OLTP? What is the impact of deploying In-Memory OLTP?
5 About me SQL Server DBA since 1995 MCSE Data Platform Passionate about SQL Server Obsessed with In-Memory
6 KEY TAKEAWAYS Workload evaluation Use cases Architecture
7 Unsupported (2016) sp_rename* Computed columns* >8 nonclustered indexes per table* Replication publisher/distributor Partitioning Event Notifications DDL triggers
8 Unsupported (2016) CDC Compression Containment MERGE target Database snapshots TRUNCATE
9 Unsupported (2016) Change tracking DDL in transactions Linked servers Mirroring Cross-database queries/transactions FILESTREAM
10 Unsupported (2016) Filtered indexes clustered indexes FULLTEXT INCLUDE Indexed views
11 FILESTREAM Enabling FS is NOT required to use In-Memory OLTP!
12 FILESTREAM File management provided by in-mem engine
13 FILESTREAM File management provided by in-mem engine FILESTREAM feature not supported for in-mem tbls
14 FILESTREAM File management provided by in-mem engine FILESTREAM feature not supported for in-mem tbls FILESTREAM feature IS supported for on-disk tbls
15 Unsupported (2016) datetimeoffset** geography geometry hierarchyid rowversion xml sql_variant** UDT
16 In-Mem improvements in SQL 2016 ALTER TABLE Foreign keys Collations Editions limit data per DB/SP1 Per-container checkpoint thread Query store SEQUENCE CHECK/DEFAULT DML triggers Row level security Temporal tables Nested NC procedures
17 In-Mem improvements in SQL 2016 Native inline TVFs Scalar UDFs Parallel plans for interop TDE MARS support ALTER PROCEDURE Parallel scan for HASH idx UNIQUE indexes Parallel plans for tbl heaps
18 SQL 2017 > 8 indexes per table
19 SQL 2017 > 8 indexes per table NC index rebuild speed improvement
20 SQL 2017 > 8 indexes per table NC index rebuild speed improvement Computed columns (plus indexes)
21 SQL 2017 > 8 indexes per table NC index rebuild speed improvement Computed columns (plus indexes) sp_rename (tables and native modules)
22 SQL 2017 > 8 indexes per table NC index rebuild speed improvement Computed columns (plus indexes) sp_rename (tables and native modules) sp_spaceused
23 SQL 2017 > 8 indexes per table NC index rebuild speed improvement Computed columns (plus indexes) sp_rename (tables and native modules) sp_spaceused parallel REDO for AGs
24 SQL 2017 native compilation CASE JSON CROSS APPLY
25 Environments AZURE LINUX
26 Storage type Latency Factor HDD (SATA/SAS) ms -- 1 millisecond = 1,000 microseconds 1 millisecond = 1,000,000 nanoseconds
27 Storage type Latency Factor HDD (SATA/SAS) ms -- SSD (SATA/SAS) 1 ms 10-20x 1 millisecond = 1,000 microseconds 1 millisecond = 1,000,000 nanoseconds
28 Storage type Latency Factor HDD (SATA/SAS) ms -- SSD (SATA/SAS) 1 ms 10-20x PCIe SSD (AHCI/NVMe) 50 to 100 microseconds 10-20x 1 millisecond = 1,000 microseconds 1 millisecond = 1,000,000 nanoseconds
29 Storage type Latency Factor HDD (SATA/SAS) ms -- SSD (SATA/SAS) 1 ms 10-20x PCIe SSD (AHCI/NVMe) 50 to 100 microseconds 10-20x Memory 100 nanoseconds x 1 millisecond = 1,000 microseconds 1 millisecond = 1,000,000 nanoseconds
30 WHICH TABLES?
31 Migration GOT A LOTTA LATCHES?
32 Migration GOT A LOTTA LATCHES? TOP WAITS = PAGELATCH_XX?
33 WAIT STATS WRITELOG IO_COMPLETION ASYNC_NETWORK_IO SOS_SCHEDULER_YIELD
34 WAIT STATS PAGELATCH_EX PAGELATCH_SH WRITELOG
35 Evaluating tables to migrate Data/index compression?
36 Deciphering Editions in SQL 2016/SP1+ Edition Enterprise Standard Web Express Max In-Mem/CCI OS limit/os limit 32 GB/32 GB 16 GB/16 GB 352 MB/352 MB
37 Deciphering Editions in SQL 2016/SP1+ Edition Enterprise Standard Web Express Max In-Mem/CCI OS limit/os limit 32 GB/32 GB 16 GB/16 GB 352 MB/352 MB per db per instance
38 Standard Edition (32 GB) Feature Per db Per instance In-Memory data
39 Standard Edition (32 GB) Feature Per db Per instance In-Memory data Yes No
40 Standard Edition (32 GB) Feature Per db Per instance In-Memory data Yes No Columnstore??????
41 Standard Edition (32 GB) Feature Per db Per instance In-Memory data Yes No Columnstore/In-Mem tbl Yes No
42 Standard Edition (32 GB) Feature Per db Per instance In-Memory data Yes No Columnstore/In-Mem tbl Yes No Columnstore/HD tbl No Yes
43 ARCHITECTURE
44 Data/delta files DATABASE
45 Data/delta files DATABASE FILEGROUP
46 Data/delta files DATABASE FILEGROUP CONTAINER
47 Data/delta files DATABASE FILEGROUP CONTAINER DATA/DELTA
48 Data/delta files DATABASE FILEGROUP CONTAINER DATA/DELTA STREAMING
49 Data/delta files DATABASE FILEGROUP CONTAINER NO MAXSIZE DATA/DELTA STREAMING
50 Recovery model is...??? for memory-optimized DML irrelevant
51 Recovery model is... irrelevant for memory-optimized DML irrelevant
52 Recovery model is... irrelevant FULL BULK-LOGGED SIMPLE DML = FULLY LOGGED FOR DURABLE IN-MEM OBJECTS
53 Data/delta files FILEGROUPS PRIMARY MDF LDF MEMORY-OPTIMIZED Container1 DATA/DELTA Container2 DATA/DELTA
54 001 to to to to to 500 Data/delta files DATA Checkpoint File Pairs DELTA
55 Data/delta files
56 Durability work flow UPDATE row in memory and COMMIT (no WAL)
57 Durability work flow UPDATE row in memory and COMMIT (no WAL) Write to transaction log
58 Durability work flow UPDATE row in memory and COMMIT (no WAL) Write to transaction log Offline checkpoint thread harvests in-memory event from transaction log
59 Durability work flow UPDATE row in memory and COMMIT (no WAL) Write to transaction log Offline checkpoint thread harvests in-memory event from transaction log Insert to data/delta files
60 Data/delta files SHARED IFI
61 Comparison Item On-Disk In-Mem Durability Mandatory
62 Comparison Item On-Disk In-Mem Durability Mandatory Optional
63 Comparison Item On-Disk In-Mem Durability Mandatory Optional Storage Pages/Extents
64 Comparison Item On-Disk In-Mem Durability Mandatory Optional Storage Pages/Extents Streaming
65 Comparison Item On-Disk In-Mem Durability Mandatory Optional Storage Pages/Extents Streaming TSQL Interpreted Interpreted TSQL Compiled TSQL
66 Comparison Item On-Disk In-Mem Durability Mandatory Optional Storage Pages/Extents Streaming TSQL Interpreted Interpreted Compiled
67 Comparison Item On-Disk In-Mem Durability Mandatory Optional Storage Pages/Extents Streaming TSQL Interpreted Interpreted Compiled Isolation Locking
68 Comparison Item On-Disk In-Mem Durability Mandatory Optional Storage Pages/Extents Streaming TSQL Interpreted Interpreted Compiled Isolation Locking Validation
69 Comparison Item On-Disk In-Mem Durability Mandatory Optional Storage Pages/Extents Streaming TSQL Interpreted Interpreted Compiled Isolation Locking Validation Deadlocks Possible
70 Comparison Item On-Disk In-Mem Durability Mandatory Optional Storage Pages/Extents Streaming TSQL Interpreted Interpreted Compiled Isolation Locking Validation Deadlocks Possible Impossible
71 Memory-optimized objects Tables Table variables Functions Stored procedures Triggers
72 Combining tables, On-Disk/In-Mem SELECT * FROM dbo.disk JOIN dbo.inmem ON Disk.Key = InMem.Key
73 Optimized for OLTP INGESTION LOAD TRANSIENT
74 Proof of concept CORES CONCURRENCY COMPLEXITY TOOLS
75 Desired workload characteristics Item Concurrency Write level Latency/contention Hot data Business logic Temporary object use Desired state
76 Desired workload characteristics Item Concurrency Write level Latency/contention Hot data Business logic Temporary object use Desired state High
77 Desired workload characteristics Item Concurrency Write level Latency/contention Hot data Business logic Temporary object use Desired state High Intensive
78 Desired workload characteristics Item Concurrency Write level Latency/contention Hot data Business logic Temporary object use Desired state High Intensive Localized
79 Desired workload characteristics Item Concurrency Write level Latency/contention Hot data Business logic Temporary object use Desired state High Intensive Localized Bounded
80 Desired workload characteristics Item Concurrency Write level Latency/contention Hot data Business logic Temporary object use Desired state High Intensive Localized Bounded Database
81 Desired workload characteristics Item Concurrency Write level Latency/contention Hot data Business logic Temporary object use Desired state High Intensive Localized Bounded Database High
82 Workload evaluation Latency due to Engine In-Memory helps because
83 Workload evaluation Latency due to Engine In-Memory helps because No locks/latches/spinlocks
84 Workload evaluation Latency due to High CPU In-Memory helps because
85 Workload evaluation Latency due to High CPU In-Memory helps because Native compilation: < CPU
86 Workload evaluation Latency due to Logging In-Memory helps because No WAL (no UNDO) More efficient logging Index changes not logged
87 Workload evaluation Latency due to Logging In-Memory helps because No write ahead logging Logging efficiencies Index changes not logged*
88 Workload evaluation Latency due to Logging In-Memory helps because No write ahead logging Logging efficiencies Index changes not logged*
89 Workload evaluation Latency due to Logging In-Memory helps because No write ahead logging Logging efficiencies Index changes not logged*
90 Workload evaluation Latency due to TempDB In-Memory helps because
91 Workload evaluation Latency due to TempDB In-Memory helps because Temp objects in memory
92 How In-Memory OLTP can help You need better Performance In-Memory helps because Lower CPU (native) Less logging No logging (indexes) No tempdb (for tmp objects) Latching Locking Spinlock
93 How In-Memory OLTP can help You need better Performance In-Memory helps because Lower CPU (native) Less logging No logging (indexes) TempDB object replacement Latching Locking Spinlock
94 How In-Memory OLTP can help You need better Performance Scalability In-Memory helps because Lower CPU (native) Less logging No logging (indexes) TempDB object replacement Latching Locking Spinlock
95 How In-Memory OLTP can help You need better Performance In-Memory helps because Lower CPU (native) Less logging No logging (indexes) TempDB object replacement Scalability Latching Locking Spinlock not possible
96 Lock free Tables Indexes
97 Lock free!= WAIT FREE
98 Lock free!= WAIT FREE Transaction log (durable)
99 Lock free!= WAIT FREE Transaction log (durable) Dependent transactions
100 Use cases High throughput, low latency
101 Use cases High throughput, low latency Caching/session state
102 Use cases High throughput, low latency Caching/session state Data ingestion (IoT)
103 Use cases High throughput, low latency Caching/session state Data ingestion (IoT) TempDB object replacement
104 Use cases High throughput, low latency Caching/session state Data ingestion (IoT) TempDB object replacement ETL
105 CONCURRENCY
106 Concurrency model - disk Pessimistic Optional db setting for RCSI/SI (row versions) TempDB Solves R/W blocking W/W still blocks
107 Concurrency model - memory Optimistic MVCC Mandatory row versions Memory Solves R/W and W/W blocking First COMMIT wins, other writers fail
108 Potential workload issues Excessive conflicts Chatty applications/short procs (native) Resource issues: memory/storage/iops
109 New potential bottlenecks WRITELOG IOPS
110 Transaction log latency WRITELOG
111 Transaction log latency Persistent Memory Server Class Memory NVDIMM-N
112 Transaction log latency Persistent Memory Server Class Memory NVDIMM-N
113 Transaction log latency Persistent Memory Server Class Memory NVDIMM-N
114 Transaction log latency: NVDIMM-N DRAM
115 Transaction log latency: NVDIMM-N DRAM FLASH
116 Transaction log latency: NVDIMM-N DRAM FLASH POWER
117 Transaction log latency: NVDIMM-N LOG BLOCKS DRAM FLASH POWER
118 Transaction log latency: NVDIMM-N LOG BLOCKS DRAM FLASH POWER
119 Transaction log latency: NVDIMM-N LOG BLOCKS DRAM FLASH POWER
120 PERSISTENT MEMORY
121 PERSISTENT MEMORY TDE
122 MEMORY
123 Memory allocation PHYSICAL MEMORY
124 Memory allocation OS PHYSICAL MEMORY
125 Memory allocation OS SQL Server max memory PHYSICAL MEMORY
126 Memory allocation OS SQL Server max memory PHYSICAL MEMORY
127 Memory allocation SQL Server max memory OS Buffer pool Proc Log Data cache cache structures PHYSICAL MEMORY
128 Memory allocation SQL Server max memory OS Buffer pool Proc Log Data cache cache structures In-Mem OLTP PHYSICAL MEMORY
129 Memory dance Buffer pool In-Mem OLTP DEFAULT POOL
130 Memory dance ADD IN-MEM ROWS Buffer pool In-Mem OLTP DEFAULT POOL
131 Memory dance PRESSURE ON BUFFER POOL Buffer pool In-Mem OLTP DEFAULT POOL
132 Memory dance DELETE IN-MEM ROWS Buffer pool In-Mem OLTP DEFAULT POOL
133 Memory dance WANTS TO GROW Buffer pool PRESSURE ON In-Mem In-Mem OLTP DEFAULT POOL
134 Memory dance Buffer pool In-Mem OLTP DEFAULT POOL
135 Memory dance Buffer pool In-Mem OLTP DEFAULT POOL
136 Memory dance Buffer pool In-Mem OLTP DEFAULT POOL
137 Memory dance Buffer pool In-Mem OLTP DEFAULT POOL Buffer Pool Extension Standard Edition
138 Memory dance COMPRESSION PAGING Buffer pool In-Mem OLTP DEFAULT POOL
139 Memory dance COMPRESSION PAGING Buffer pool In-Mem OLTP DEFAULT POOL
140 Windows Server max memory Windows 2012R2 = 4TB Windows 2016 = 24TB
141 Windows Server max memory Windows 2012R2 = 4TB Windows 2016 = 24TB
142 ROW VERSIONS
143 Row structure (simplified) HEADER Begin TS End TS Idx Ptr Data
144 INDEX Row versions V1 V2 V3 MEMORY VERSION 1 VERSION 2 VERSION 3
145 Row versions DML
146 201 to 300 Row versions VERSION 1 begin end :50:00 DELETE EXISTING ROW VERSIONS = 1
147 201 to 300 Row versions VERSION 1 begin :50:00 end :56:35 DELETE TOTAL ROW VERSIONS = 1
148 Row versions UPDATE VERSION 1 begin1 end1 EXISTING ROW VERSIONS = 1
149 Row versions UPDATE DELETE = + VERSION 1 begin1 end1 INSERT EXISTING ROW VERSIONS = 1
150 Row versions UPDATE DELETE = + VERSION 1 begin1 end :56:35 INSERT EXISTING ROW VERSIONS = 1
151 Row versions UPDATE = VERSION 1 begin1 end1 DELETE + VERSION :56:35 INSERT begin2 end2 TOTAL ROW VERSIONS = 2
152 GARBAGE COLLECTION
153 Garbage Collection attributes Background Self-throttling Cooperative
154 Garbage Collection process IDENTIFY UNLINK SCHEDULE
155 Garbage Collection: Identify INDEX ROWS IN MEMORY SELECT * FROM table WHERE col = x S C A N V1 V2 V3 VERSION 1 VERSION 2 VERSION 3
156 Garbage Collection: Unlink INDEX ROWS IN MEMORY SELECT * FROM table WHERE col = x S C A N V3 VERSION 1 VERSION 2 VERSION 3
157 Garbage Collection: Schedule SELECT * FROM table WHERE col = x SELECT * FROM table WHERE col = y SCH 0 SCH 1
158 Garbage Collection issues Long/cancelled transactions
159 Garbage Collection issues Long/cancelled transactions Table variables
160 Garbage Collection issues Long/cancelled transactions Table variables DBA cannot control
161 RESTORE
162 RESTORE PHASES
163 RESTORE PHASES CREATE files (MDF/NDF/LDF/DATA/DELTA)
164 RESTORE PHASES CREATE files (MDF/NDF/LDF/DATA/DELTA) COPY data from backup files (NORECOVERY)
165 RESTORE PHASES CREATE files (MDF/NDF/LDF/DATA/DELTA) COPY data from backup files (NORECOVERY) STREAM data to memory (RECOVERY)
166 RESTORE
167 RESTORE
168 RESTORE durable in-mem data STREAM
169 RESTORE durable in-mem data STREAM
170 RESTORE durable in-mem data RESTORE FAILS! STREAM
171 RESTORE FILELISTONLY LogicalName PhysicalName Type FileGroupName Size MyDBData h:\sqldata\mydb.mdf D PRIMARY MyDBlog h:\sqldata\mydb.ldf L NULL MyDBFG1 h:\sqldata\fg1 S FG MyDBFG2 h:\sqldata\fg2 S FG
172 Recovery process (STREAM) MEMORY-OPTIMIZED TABLES CONTAINER
173 Recovery process (STREAM) MEMORY-OPTIMIZED TABLES CONTAINER STREAM
174 Recovery process (STREAM) MEMORY-OPTIMIZED TABLES CONTAINER 1 CONTAINER 2 CONTAINER 3 CONTAINER 4 STREAM STREAM STREAM STREAM
175 Planning Database/Storage design (# of containers)
176 Planning Database/Storage design (# of containers) Test restore with full data set
177 Planning Database/Storage design (# of containers) Test restore with full data set WHILE (RTO!ok)
178 Planning Database/Storage design (# of containers) Test restore with full data set WHILE (RTO!ok) Add more containers and volumes
179 Planning Database/Storage design (# of containers) Test restore with full data set WHILE (RTO!ok) Add more containers and volumes Test restore with full data set
180 Planning Database/Storage design (# of containers) Test restore with full data set WHILE (RTO!ok) Add more containers and volumes Test restore with full data set Repeat until restore time <= RTO
181 Stream events
182 Stream events OFF/ONLINE
183 Stream events OFF/ONLINE RCSI ON/OFF
184 Stream events OFF/ONLINE RCSI ON/OFF R/O to R/W
185 Stream events OFF/ONLINE RESTORE RCSI ON/OFF R/O to R/W
186 Stream events OFF/ONLINE RESTORE RCSI ON/OFF SQL RESTART R/O to R/W
187 Stream events OFF/ONLINE RESTORE RCSI ON/OFF SQL RESTART R/O to R/W SERVER BOOT
188 Capacity planning, Memory Data Indexes Data/Index growth Row versions Table variables Temporal/Staging
189 FILE MERGE
190 001 to to to to to 500 Garbage Collection File Merge DATA DELTA
191 001 to to to to to 500 Garbage Collection File Merge DATA DELTA
192 001 to to to to 500 Garbage Collection File Merge DATA DELTA
193 Garbage Collection File Merge sys.sp_xtp_checkpoint_force_garbage_collection
194 Capacity planning STORAGE
195 Capacity planning, Storage/IO FOOTPRINT 4x durable in-mem size GROWTH BACKUPS WORKLOAD IO
196 Capacity planning, Storage/IO FOOTPRINT 4x durable in-mem size GROWTH BACKUPS WORKLOAD IO FAST/SEQUENTIAL
197 Sample migration CUSTOMERS ORDERS
198 Sample migration CUSTOMERS ORDERS hot orders in-memory cold orders on-disk
199 Sample migration CUSTOMERS ORDERS no orphaned child records must validate Parent ID
200 Sample migration CUSTOMERS ORDERS Customers table on-disk? Customers table in-memory?
201 Migration scenario 1 MEMORY CUSTOMERS PARENT ID VALID: HOT PARENT ID VALID: COLD NO ORPHANS HOT: ORDERS DISK COLD: ORDERS
202 Migration scenario 1 MEMORY PARENT ID VALID: HOT PARENT ID VALID: COLD NO ORPHANS CUSTOMERS FK HOT: ORDERS DISK COLD: ORDERS
203 Migration scenario 1 MEMORY PARENT ID VALID: HOT PARENT ID VALID: COLD NO ORPHANS CUSTOMERS FK HOT: ORDERS DISK COLD: ORDERS
204 Migration scenario 1 MEMORY PARENT ID VALID: HOT PARENT ID VALID: COLD NO ORPHANS CUSTOMERS FK HOT: ORDERS DISK COLD: ORDERS
205 Migration scenario 1 MEMORY PARENT ID VALID: HOT PARENT ID VALID: COLD NO ORPHANS CUSTOMERS FK HOT: ORDERS DISK COLD: ORDERS
206 Migration scenario 2 MEMORY PARENT ID VALID: HOT PARENT ID VALID: COLD NO ORPHANS CUSTOMERS FK HOT: ORDERS DISK COLD: ORDERS
207 Migration scenario 2 MEMORY PARENT ID VALID: HOT PARENT ID VALID: COLD NO ORPHANS CUSTOMERS FK HOT: ORDERS DISK COLD: ORDERS
208 Migration scenario 2 MEMORY PARENT ID VALID: HOT PARENT ID VALID: COLD NO ORPHANS CUSTOMERS FK HOT: ORDERS DISK COLD: ORDERS
209 Migration scenario 2 MEMORY PARENT ID VALID: HOT PARENT ID VALID: COLD NO ORPHANS CUSTOMERS FK HOT: ORDERS DISK COLD: ORDERS
210 Migration scenario 2 MEMORY PARENT ID VALID: HOT PARENT ID VALID: COLD NO ORPHANS CUSTOMERS FK HOT: ORDERS DISK COLD: ORDERS
211 Migration scenario 3 MEMORY PARENT ID VALID: HOT PARENT ID VALID: COLD NO ORPHANS HOT: ORDERS DISK CUSTOMERS FK COLD: ORDERS
212 Migration scenario 3 MEMORY PARENT ID VALID: HOT PARENT ID VALID: COLD NO ORPHANS HOT: ORDERS DISK CUSTOMERS FK COLD: ORDERS
213 Migration scenario 3 MEMORY PARENT ID VALID: HOT PARENT ID VALID: COLD NO ORPHANS HOT: ORDERS DISK CUSTOMERS FK COLD: ORDERS
214 Migration scenario 3 MEMORY PARENT ID VALID: HOT PARENT ID VALID: COLD NO ORPHANS HOT: ORDERS DISK CUSTOMERS FK COLD: ORDERS
215 Migration scenario 3 MEMORY PARENT ID VALID: HOT PARENT ID VALID: COLD NO ORPHANS HOT: ORDERS DISK CUSTOMERS FK COLD: ORDERS
216 Planning 1. Identify bottleneck(s) 2. Determine if In-Memory might help 3. POC 4. Database/Storage design (# of containers) 5. Test restore with full data set Repeat Steps 4 and 5 until restore time <= RTO
217 Planning 1. Identify bottleneck(s) 2. Determine if In-Memory might help 3. POC 4. Database/Storage design (# of containers) 5. Test restore with full data set Repeat Steps 4 and 5 until restore time <= RTO
218 Planning 1. Identify bottleneck(s) 2. Determine if In-Memory might help 3. POC 4. Database/Storage design (# of containers) 5. Test restore with full data set Repeat Steps 4 and 5 until restore time <= RTO
219 Capacity planning Memory = 2x in-mem size Total IOPS = 3x workload IOPS Storage = 4x durable in-mem size
220 White paper review
221 White paper review Indexes are never stored on disk
222 White paper review Indexes are never stored on disk
223 White paper review Indexes are never stored on disk DELETE and UPDATE operations will generate row versions
224 White paper review Indexes are never stored on disk DELETE and UPDATE operations will generate row versions
225 White paper review Indexes are never stored on disk DELETE and UPDATE operations will generate row versions Data is on disk to be used when restarting your SQL Server
226 White paper review Indexes are never stored on disk DELETE and UPDATE operations will generate row versions Data is on disk to be used when restarting your SQL Server
227 White paper review File creation
228 White paper review File creation
229 White paper review File creation 2TB limit
230 White paper review File creation 2TB limit
231 White paper review File creation 2TB limit Parallelism
232 White paper review File creation 2TB limit Parallelism
233 Parallelism ALL INDEX TYPES TABLES/VARIABLES SAMPLED STATS DML SOURCE
234 Parallelism NATIVELY COMPILED DML TARGET
235 KEY TAKEAWAYS Workload evaluation Use cases Architecture
236 Thank you Sponsors!
237 e: Will my workload run faster with In-Memory OLTP? Ned Otter SQL Strategist
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