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CASSANDRA COOKBOOK PDF

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Cassandra Cookbook Pdf

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Free PDF eBook: Apache Cassandra High Performance

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Search for eBooks and Videos. Free PDF eBook: Apache Cassandra High Performance. What You Will Learn Interact with Cassandra using the command line interface Write programs that access data in Cassandra Configure and tune Cassandra components to enhance performance Model data to optimize storage and access Use tunable consistency to optimize data access Deploy Cassandra in single and multiple data center environments Monitor the performance of Cassandra Manage a cluster by joining and removing nodes Use libraries and third party applications with Cassandra Integrate Cassandra with Hadoop.

Cassandra High Performance Cookbook.pdf

When you sign up you'll get offers relevant to you, exclusive discounts on our hottest titles, and leading edge free content. All Rights Reserved. Using Super Columns for nested maps How to do it Using a lower Replication Factor for disk space saving and performance enhancements How to do it Scripting a multiple instance installation with OOP Using different hash algorithms Storing large objects How to do it Using Cassandra for distributed caching How to do it Storing large or infrequently accessed data in a separate column family How to do it Storing and searching edge graph data in Cassandra Getting ready How to do it Developing secondary data orderings or indexes Getting ready How to do it Moving a node to a specific ring location Getting ready How to do it Nodetool Remove: Removing a downed node How to do it Nodetool Decommission: Removing a live node How to do it These is more Copying the data directory to new hardware Getting ready How to do it There's more A node join using external data copy methods Getting ready How to do it Nodetool Repair: When to use anti-entropy repair How to do it Stable files on upgrade How to do it Data resurrection Scheduling Major Compaction How to do it Using nodetool snapshot for backups Getting ready How to do it Clearing snapshots with nodetool clearsnapshot Getting ready How to do it Restoring from a snapshot How to do it Removing excess data How to do it Nodetool Compact: Defragment data and remove deleted data from disk How to do it Multiple Datacenter Deployments Changing debugging to determine where read operations are being routed How to do it Using IPTables to simulate complex network scenarios in a local environment Getting ready How to do it Scripting a multiple datacenter installation Getting ready How to do it Determining natural endpoints, datacenter, and rack for a given key How to do it Manually specifying Rack and Datacenter configuration with a property file snitch Getting ready How to do it Troubleshooting dynamic snitch using JConsole Getting ready How to do it Quorum operations in multi-datacenter environments Getting ready How it works Using traceroute to troubleshoot latency between network devices How to do it Ensuring bandwidth between switches in multiple rack environments How to do it Changing consistency level from the CLI to test various consistency levels with multiple datacenter deployments Getting ready How to do it More than two datacenters Datacenters with differing numbers of nodes Endpoint Snitch See also Coding and Internals Introduction Installing common development tools How to do it Building Cassandra from source How to do it Creating your own type by sub classing abstract type How to do it Using the validation to check data on insertion Getting ready How to do it Generating a diff using subversion's diff feature How to do it Applying a diff using the patch command Before you begin How to do it Using strings and od to quickly search through data files How to do it Customizing the sstable2json export utility How to do it Configure index interval ratio for lower memory usage How to do it Using the Cassandra maven plugin Getting ready How to do it Libraries and Applications Introduction Building the contrib stress tool for benchmarking Getting ready How to do it Inserting and reading data with the stress tool Before you begin Running the Yahoo!

Cloud Serving Benchmark How to do it Hector, a high-level client for Cassandra How to do it Doing batch mutations with Hector How to do it Setting up Solandra for full text indexing with a Cassandra backend How to do it Setting up Zookeeper to support Cages for transactional locking How to do it Using Cages to implement an atomic read and set Getting ready How to do it Searchable log storage with Logsandra Getting ready How to do it Using MapReduce to do grouping and counting with Cassandra input and output Getting ready How to do it Grouping and counting column values with Hive How to do it How it works Collecting and Analyzing Performance Statistics Finding bottlenecks with nodetool tpstats How to do it Using nodetool cfstats to retrieve column family statistics How to do it Monitoring CPU utilization How to do it Using Memtable graphs to profile when and why they flush How it works Graphing SSTable count How to do it Monitoring disk utilization and having a performance baseline How to do it Monitoring compaction by graphing its activity How it works Using nodetool compaction stats to check the progress of compaction How to do it Using latency graphs to profile time to seek keys How to do it Tracking the physical disk size of each column family over time How to do it Using nodetool cfhistograms to see the distribution of query latencies How to do it Tracking open networking connections How to do it Using top to understand overall performance How to do it Using iostat to monitor current disk performance Getting ready How to do it Using sar to review performance over time Getting ready How to do it Monitoring the garbage collection events How to do it Using tpstats to find bottlenecks How to do it Keep an eye out for large rows with compaction limits How to do it Keep on the lookout for dropped messages How to do it Inspecting column families for dangerous conditions How to do itListing and paginating all rows in a column family Getting ready How to do it Towards the end, it takes you through the use of libraries and third party applications with Cassandra and Cassandra integration with Hadoop.

Using Cages to implement an atomic read and set Getting ready How to do it How it works Working with secondary indexes Getting ready How to do it Recipes include how to access data stored in Cassandra and use third party tools to help you out.

Storing large or infrequently accessed data in a separate column family How to do it Subscription About Subscription Pricing Login.

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