Lecture 4: Regularization and Bayesian Statistics Feng Li Shandong University fli@sdu.edu.cn September 20, 2023 ## Lecture 4: Regularization and Bayesian Statistics ![Image](/uploads/documents/4/6/8/

### From Managed Kubernetes to App Platform: 1.5 Years of Cilium Usage at DigitalOcean eBPF Summit ## History / Context - DigitalOcean Kubernetes Service aka DOKS: our managed Kubernetes offering -

would be better to store the model in a local disk. In addition, please also watch the CPU memory usage. When the model is too large, it might take much CPU memory, which can slow down the operating system memory usage, as each LoRA # slot requires its own preallocated tensor. # max_lora_rank: controls the maximum supported rank of all LoRAs. Larger # numbers will cause higher memory usage. If models where each worker only needs to read its own shard rather than the entire checkpoint. Example usage: python save_sharded_state.py \ --model /path/to/load \ --quantization deepspeedfp \

93 2.3.5 Data definition language (DDL) 94 2.3.6 Transactions 95 2.3.7 Partitioning 95 2.3.8 Statistics 95 2.3.9 Security 97 2.3.10 Data import and export 98 2.3.11 Management, observability, and 4 Filter DML Events Using SQL Expressions 901 # 7 Stream Data 903 7.1 TiCDC Overview 903 7.1.1 Usage scenarios 903 7.1.2 Major features 904 7.1.3 TiCDC architecture 905 7.1.4 Best practices 906 7 Unsafe Recovery ··· 1524 8.12.1 Feature description ··· 1524 8.12.2 User scenarios ··· 1525 8.12.3 Usage ··· 1525 8.13 Replicate Data Between Primary and Secondary Clusters ··· 1530 8.13.1 Step 1. Set

88 2.3.5 Data definition language (DDL) 89 2.3.6 Transactions 90 2.3.7 Partitioning 90 2.3.8 Statistics 90 2.3.9 Security 92 2.3.10 Data import and export 93 2.3.11 Management, observability, and Unsafe Recovery ··· 1225 8.12.1 Feature description ··· 1225 8.12.2 User scenarios ··· 1226 8.12.3 Usage ··· 1226 8.13 Replicate Data Between Primary and Secondary Clusters ··· 1231 8.13.1 Step 1. Set Grafana ··· 1253 9.4.3 Upgrade Alertmanager ··· 1254 9.5 Export Grafana Snapshots ··· 1255 9.5.1 Usage ··· 1256 9.5.2 FAQs ··· 1257 ![OCR图片](/uploads/documents/7/4/5/7452e374f5f1ea4452ed51cc26a80e6f/df150d72

Data definition language (DDL) 47 2.3.6 Transactions 47 2.3.7 Partitioning 47 2.3.8 Statistics 47 2.3.9 Security 48 2.3.10 Data import and export 48 2.3.11 Management, observability, and Configure Grafana 329 7.3.3 View component metrics 330 7.4 Export Grafana Snapshots 332 7.4.1 Usage 332 7.4.2 FAQs 333 7.5 TiDB Cluster Alert Rules 334 7.5.1 TiDB alert rules 336 7.5.2 PD alert Queries 384 8.2.1 Usage example 384 8.2.2 Fields description 385 8.2.3 Related system variables 388 8.2.4 Memory mapping in slow log 389 8.2.5 SLOW_QUERY / CLUSTER_SLOW_QUERY usage examples 391

[OCR图片](/uploads/documents/3/b/1/a/3b1a0439128acad53eceaf645a670e4f/p2_1.png) 2.3.7 Partitioning ··· 68 2.3.8 Statistics ··· 68 2.3.9 Security ··· 70 2.3.10 Data import and export ··· 70 2.3.11 Management, observability Unsafe Recovery ··· 1139 8.12.1 Feature description ··· 1139 8.12.2 User scenarios ··· 1140 8.12.3 Usage ··· 1140 8.13 Replicate Data Between Primary and Secondary Clusters ··· 1145 8.13.1 Step 1. Set Grafana ··· 1167 9.4.3 Upgrade Alertmanager ··· 1168 9.5 Export Grafana Snapshots ··· 1169 9.5.1 Usage ··· 1170 9.5.2 FAQs ··· 1171 9.6 TiDB Cluster Alert Rules ··· 1171 9.6.1 TiDB alert rules ··· 1173

Data definition language (DDL) 54 2.3.6 Transactions 55 2.3.7 Partitioning ..... 55 2.3.8 Statistics ..... 55 2.3.9 Security ..... 56 2.3.10 Data import and export ..... 56 2.3.11 Management 6.9 Online Unsafe Recovery 349 6.9.1 Feature description 349 6.9.2 User scenarios 350 6.9.3 Usage 350 Monitor and Alert 352 7.1 TiDB Monitoring Framework Overview 352 7.1.1 About Prometheus Configure Grafana 361 7.3.3 View component metrics 362 7.4 Export Grafana Snapshots ..... 363 7.4.1 Usage ..... 363 7.4.2 FAQs ..... 364 7.5 TiDB Cluster Alert Rules ..... 365 7.5.1 TiDB alert rules

Redundancy 297 About Database Statistics in Greenplum Database 297 System Statistics 298 Table Size 298 The pg_statistic System Table and pg_stats View 298 Sampling 302 Updating Statistics 302 Analyzing Partitioned Partitioned Tables 302 Configuring Statistics 303 Statistics Target 303 Automatic Statistics Collection 304 VMware Tanzu Greenplum on vSphere 306 Overview 306 Getting Started 307 VMware Tanzu Greenplum on vSphere When Not to Use Bitmap Indexes 596 Creating an Index 596 Indexes on Expressions 596 Examining Index Usage 597 Managing Indexes 598 To rebuild all indexes on a table 598 Dropping an Index 598 Creating and

Redundancy 286 About Database Statistics in Greenplum Database 286 System Statistics 287 Table Size 287 The pg_statistic System Table and pg_stats View 287 Sampling 291 Updating Statistics 291 Analyzing Partitioned 292 VMware Tanzu Greenplum 6 Documentation VMware, Inc 12 Configuring Statistics 292 Statistics Target 292 Automatic Statistics Collection 293 VMware Tanzu Greenplum on vSphere 295 Supported Platforms When Not to Use Bitmap Indexes 574 Creating an Index 574 Indexes on Expressions 574 Examining Index Usage 575 Managing Indexes 576 To rebuild all indexes on a table 576 Dropping an Index 576 Creating and