![]() ![]() Portable across various operating systems Snappy-Java contains native libraries built for Window, Mac, and Linux (I did all tests on an Amazon Elastic Compute Cloud (Amazon EC2) instance with 8 vCPUs and 16 GB of RAM).Low-memory-footprint SnappyOutputStream uses only 32 KB+ by default.Fast compression and decompression rate between 200–560 MB per second.I decided to use the Snappy compression algorithm for the following reasons: For this post, I use Snappy compression to compress my data. You don’t have to specify a replication factor when creating a new keyspace in Amazon Keyspaces the service configures these settings automatically.ĬREATE KEYSPACE compression WITH replication = AND durable_writes = true Ĭompression algorithms such as Snappy, LZ4, GZIP, and ZSTD generate binary output that you can store in a BLOB column type in your table. To get started, let’s first create one keyspace and two tables.Īmazon Keyspaces stores data durably across multiple AWS Availability Zones using a replication factor of three for high availability. In this post, I show you how to compress your data using freely available compression tools and store that compressed data in Amazon Keyspaces. ![]() Compressing large columns reduces your storage costs, improves performance, reduces I/O and network usage, and enables you to fit the data within the Amazon Keyspaces row quota. To reduce the size of these rows, you can compress one or more large columns. However, you may already have rows larger than 1 MB in your existing Cassandra tables. To help deliver fast performance, Amazon Keyspaces has a 1 MB row-size quota (for more information, see Quotas for Amazon Keyspaces (for Apache Cassandra). You can build applications with virtually unlimited throughput and storage that can serve thousands of requests per second. Amazon Keyspaces provides you with single-digit-millisecond response times at any scale. With Amazon Keyspaces, you don’t have to worry about configuring and optimizing your Cassandra cluster for your mission-critical, operational workloads. Amazon Keyspaces (for Apache Cassandra) is a scalable, highly available, and managed Apache Cassandra-compatible database service that enables you to run Cassandra workloads more easily by using a serverless, pay-as-you-go solution. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |