Amazon Redshift Guide de l'utilisateur Page 204
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Noté. / 5. Basé sur avis des utilisateurs
• First, you specify the metric dimension to work with. A dimension is a name-value pair that helps you
to uniquely identify a metric. The dimensions for Amazon Redshift are ClusterIdentifier and
NodeID. In the Amazon CloudWatch console, the Redshift Cluster and Redshift Node views
are provided to easily select cluster and node-specific dimensions. For more information about
dimensions, see Dimensions in the Amazon CloudWatch Developer Guide.
• Second, you specify the metric name, such as ReadIOPS.
The following table summarizes the types of Amazon Redshift metric dimensions that are available to
you. All data is available in 1-minute periods at no charge.
DescriptionDimensionAmazon Cloud-
Watch
Namespace
Filters requested data that is specific to the nodes of a cluster.
NodeID will be either "Leader", "Shared", or "Compute-N"
where N is 0, 1, ... for the number of nodes in the cluster.
"Shared" means that the cluster has only one node, i.e. the
leader node and compute node are combined.
NodeIDAWS/Redshift
Filters requested data that is specific to the cluster. Metrics
that are specific to clusters include HealthStatus, Mainten-
anceMode, and DatabaseConnections. In general metrics
in for this dimension (e.g. ReadIOPS) that are also metrics of
nodes represent an aggregate of the node metric data.You
should take care in interpreting these metrics because they
aggregate behavior of leader and compute nodes.
ClusterIdenti-
fier
Working with gateway and volume metrics is similar to working with other service metrics. Many of the
common tasks are outlined in the Amazon CloudWatch documentation and are listed below for your
convenience:
• Listing Available Metrics
• Getting Statistics for a Metric
• Creating CloudWatch Alarms
API Version 2012-12-01
198
Amazon Redshift Management Guide
Working with Performance Metrics in the Amazon
CloudWatch Console
- Amazon Redshift 1
- Table of Contents 3
- What Is Amazon Redshift? 7
- Cluster Management 8
- Cluster Access and Security 8
- Monitoring Clusters 9
- Databases 10
- Amazon Redshift Clusters 11
- About Clusters and Nodes 12
- Dense Storage Node Types 13
- Dense Compute Node Types 13
- Resizing a Cluster 14
- EC2-Classic Platform 15
- EC2-VPC Platform 15
- Maintenance Windows 16
- Default Disk Space Alarm 17
- Renaming Clusters 17
- Creating a Cluster 20
- Modifying a Cluster 26
- To modify a cluster 27
- Rebooting a Cluster 29
- Cloud (VPC) 38
- Creating a Cluster in a VPC 39
- Cluster Subnet Groups 43
- Amazon Redshift Parameter 62
- Result Set 63
- User Group Wildcard 68
- Query Group Wildcard 71
- Operating Systems 78
- Creating a Parameter Group 79
- Modifying a Parameter Group 80
- Deleting a Parameter Group 82
- SDK for Java 83
- Amazon Redshift Snapshots 88
- Manual Snapshots 89
- Sharing Snapshots 90
- Creating a Manual Snapshot 93
- Deleting a Manual Snapshot 94
- Copying an Automated Snapshot 94
- Sharing a Cluster Snapshot 97
- Snapshot Copy 99
- CLI and API 103
- Amazon Redshift Database 104
- Encryption 104
- Hardware Security Modules 105
- Creating an HSM Connection 106
- API Version 2012-12-01 107
- Deleting an HSM Connection 110
- Rotating Encryption Keys 111
- Redshift CLI and API 112
- Purchasing Amazon Redshift 113
- Reserved Nodes 113
- Amazon Redshift Console 114
- AWS SDK for Java 117
- Amazon Redshift CLI and API 120
- Controlling Access to Amazon 121
- Redshift Resources 121
- Management 122
- Example 3: Manage clusters 129
- Accessing Amazon Redshift 134
- Clusters and Databases 134
- Command Line 136
- Signing an HTTP Request 137
- Example Signature Calculation 138
- Installation Instructions 140
- Step 1: Before You Begin 141
- Step 2: Launch a Cluster 141
- Connecting to a Cluster 144
- Configure a JDBC Connection 146
- Configure an ODBC Connection 150
- Windows Operating Systems 152
- Important 154
- System Requirements 154
- Configuring the odbc.ini File 157
- Connect Using SSL 164
- Install SQL Workbench/J 168
- Redshift 179
- Set MTU on Mac OS X 183
- Monitoring Amazon Redshift 185
- Cluster Performance 185
- Amazon Redshift Metrics 186
- Redshift Console 189
- Cluster Metrics: Examples 191
- Terminating a Running Query 193
- Viewing Query Details 194
- Analyzing Query Execution 195
- Creating an Alarm 201
- CloudWatch Console 203
- Amazon Redshift Events 205
- Filtering Events 206
- Overview 208
- Messages 210
- Subscriptions 218
- Subscription 218
- Notification Subscription 219
- Database Audit Logging 221
- Connection Log 222
- User Log 222
- Enabling Logging 223
- Managing Log Files 224
- Prerequisites 233
- Step 1: Resize the Cluster 233
- Step 1:Take a Snapshot 235
- Limits in Amazon Redshift 243
- Naming Constraints 244
- Tagging Resources in Amazon 246
- Tagging Requirements 247
- To add tags to a resource 249
- Document History 251
Produits connexes et manuels pour Logiciel Amazon Redshift
Logiciel Amazon AWS SDK Guide de l'utilisateur
(155 pages)
(155 pages)
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