Amazon Redshift User Manual

DescribeClusterSnapshotsRequest request = new DescribeClusterSnapshots
Request()
.withEndTime(creationDate)
.withClusterIdentifier(clusterIdentifier)
.withSnapshotType("manual");
DescribeClusterSnapshotsResult result = client.describeClusterSnap
shots(request);
for (Snapshot s : result.getSnapshots()) {
DeleteClusterSnapshotRequest deleteRequest = new DeleteClusterSnap
shotRequest()
.withSnapshotIdentifier(s.getSnapshotIdentifier());
Snapshot deleteResult = client.deleteClusterSnapshot(deleteRequest);
System.out.format("Deleted snapshot %s\n", deleteResult.getSnap
shotIdentifier());
}
}
private static void printResultSnapshots(DescribeClusterSnapshotsResult
result) {
System.out.println("\nSnapshot listing:");
for (Snapshot snapshot : result.getSnapshots()) {
System.out.format("Identifier: %s\n", snapshot.getSnapshotIdentifi
er());
System.out.format("Snapshot type: %s\n", snapshot.getSnapshotType());
System.out.format("Snapshot create time: %s\n", snapshot.getSnap
shotCreateTime());
System.out.format("Snapshot status: %s\n\n", snapshot.getStatus());
}
}
private static Boolean waitForSnapshotAvailable(String snapshotId) throws
InterruptedException {
Boolean snapshotAvailable = false;
System.out.println("Wating for snapshot to become available.");
while (!snapshotAvailable) {
DescribeClusterSnapshotsResult result = client.describeClusterSnap
shots(new DescribeClusterSnapshotsRequest()
.withSnapshotIdentifier(snapshotId));
String status = (result.getSnapshots()).get(0).getStatus();
if (status.equalsIgnoreCase("available")) {
snapshotAvailable = true;
}
else {
System.out.print(".");
Thread.sleep(sleepTime*1000);
}
}
return snapshotAvailable;
}
}
API Version 2012-12-01
61
Amazon Redshift Management Guide
Managing Snapshots Using AWS SDK for Java

Amazon Redshift Specifications

General

Provider	Amazon Web Services (AWS)
Query Language	SQL
Data Storage	Columnar storage
Security	Encryption at rest and in transit, VPC, IAM
Backup	Automated and manual snapshots
Deployment	Cloud-based
Type	Cloud-based data warehouse service
Primary Use	Data warehousing, analytics
Integration	Integrates with AWS services, BI tools, and ETL tools
Pricing Model	On-demand and reserved instance pricing
Data Compression	Columnar storage with data compression
Performance Optimization	Query optimization