实例介绍
【实例简介】
Title: Mastering Apache Cassandra, 2nd Edition Author: Nishant Neeraj Length: 322 pages Edition: 2 Language: English Publisher: Packt Publishing Publication Date: 2015-02-27 ISBN-10: 1784392618 ISBN-13: 9781784392611 The book is aimed at intermediate developers with an understanding of core databas
Mastering Apache Cassandra Second Edition Table of contents Mastering Apache Cassandra Second Edition Credits about the author about the reviewers www.Packtpub.com Support files, eBooks, discount offers, and more Why subscribe? Free access for Packt account holders preface What this book covers What you need for this book Who this book is for Conventions Reader feedback Customer support Downloading the example code Errata Piracy Questions 1. Quick Start Introduction to cassandra a distributed database High availability Replication Multiple data centers a brief introduction to a data model stalling Cassandra locally Cassandra in action Modeling data Writing code Setting Inserting records Retrieving data Writing your application Getting the connection Executing queries Obiect mapping Summary 2. Cassandra architecture Problems in the rdbms world Enter NosQl The cap theorem Consistency Availability Partition -tolerance The significance of the Cap theorem Cassandra Understanding the architecture of cassandra Ring representation Ⅴ Virtual nodes How Cassandra works Write in action Read in action The components of Cassandra The messaging service Gossip Failure detection Gossip and failure detection Partitioner Replication The notorious R+W>Inequality LSM tree Commit log Memtable SSTable The bloom filter Index files Data files compaction Tombstones Hinted handoff Read repair and anti-entropy Merkle tree Summary 3. Effective CQL The Cassandra data model The counter column(cell) The expiring cell The column family Keyspace Data types The primary index CQL3 Creating a keyspace Simplestrategy Network Topology Strategy Altering a keyspace Creating a table Table properties Altering a table Adding a column Renaming a column Changing the data type Dropping a column Updating the table properties Dropping a table Creating an index Dropping an index Creating a data type Altering a custom type Dropping a custom type Creating triggers Dropping a trigger Creating a user Altering a user Dropping a user The granting permission Revoking permission using REvOKe Inserting data Collections in co IStS Sets aps Lightweight transactions Updating a row Deleting a row Executing the BaTCH statement Other CQL commands USE TRUNCATE IST USERS LIST PERMISSIONS COL Shell commands DESCRIBE TRACING CONSISTENCY COPY CAPTURE ASSUME SOURCE SHOW EⅹIT Summary 4. Deploying a Cluster Evaluating requirements Hard disk capacity RAM CPU Is node a server? Network System configurations Optimizing user limits Swapping memory lock synchronization Disk readahead ne required software Installing Oracle java 7 RHEL and CentOS systems Debian and Ubuntu systems Installing the Java Native Access library Installing Cassandra stalling from a tarball Installing from ASFRepository for Debian or Ubuntu Anatomy of the installation Cassandra binaries Configuration files Setting up data and commitlog directories Configuring a Cassandra cluster The cluster name The seed node Listen broadcast, and rpc addresses num tokens versus initial token num tokens initial token Partitioners The random partitioner The Byte-ordered partitioner The mumur'3 partitioner Snitches Simplesnitch Property File Snitch Gossiping Property FileSnitch RackInferringsnitch EC2Snitch EC2MultiRegion Snitch Replica placement strategies Simplestrategy NetworkTopology strategy tiple data center setups Launching a cluster with a script Creating a keyspace Authorization and authentication Summary 5. Performance tuning Stress testing Database schema Data distribution Write pattern Read queries Performance tuning Write performance Read performance Choosing the right compaction strategy Size-tiered compaction strategy evered compaction R ow cache Key cache Cache settings Enabling compression Tuning the bloom filter More tuning via cassandra. yaml commitlog sync column index size in kb commitlog total space in mb Tweaking JVM Java heap Garbage collection Other JVM options Scaling horizontally and vertically Network Summary 6. Managing a uster - Scaling Node Repair, and Backup Scaling Adding nodes to a cluster Adding new nodes in vnode-enabled clusters 【实例截图】
【核心代码】
Title: Mastering Apache Cassandra, 2nd Edition Author: Nishant Neeraj Length: 322 pages Edition: 2 Language: English Publisher: Packt Publishing Publication Date: 2015-02-27 ISBN-10: 1784392618 ISBN-13: 9781784392611 The book is aimed at intermediate developers with an understanding of core databas
Mastering Apache Cassandra Second Edition Table of contents Mastering Apache Cassandra Second Edition Credits about the author about the reviewers www.Packtpub.com Support files, eBooks, discount offers, and more Why subscribe? Free access for Packt account holders preface What this book covers What you need for this book Who this book is for Conventions Reader feedback Customer support Downloading the example code Errata Piracy Questions 1. Quick Start Introduction to cassandra a distributed database High availability Replication Multiple data centers a brief introduction to a data model stalling Cassandra locally Cassandra in action Modeling data Writing code Setting Inserting records Retrieving data Writing your application Getting the connection Executing queries Obiect mapping Summary 2. Cassandra architecture Problems in the rdbms world Enter NosQl The cap theorem Consistency Availability Partition -tolerance The significance of the Cap theorem Cassandra Understanding the architecture of cassandra Ring representation Ⅴ Virtual nodes How Cassandra works Write in action Read in action The components of Cassandra The messaging service Gossip Failure detection Gossip and failure detection Partitioner Replication The notorious R+W>Inequality LSM tree Commit log Memtable SSTable The bloom filter Index files Data files compaction Tombstones Hinted handoff Read repair and anti-entropy Merkle tree Summary 3. Effective CQL The Cassandra data model The counter column(cell) The expiring cell The column family Keyspace Data types The primary index CQL3 Creating a keyspace Simplestrategy Network Topology Strategy Altering a keyspace Creating a table Table properties Altering a table Adding a column Renaming a column Changing the data type Dropping a column Updating the table properties Dropping a table Creating an index Dropping an index Creating a data type Altering a custom type Dropping a custom type Creating triggers Dropping a trigger Creating a user Altering a user Dropping a user The granting permission Revoking permission using REvOKe Inserting data Collections in co IStS Sets aps Lightweight transactions Updating a row Deleting a row Executing the BaTCH statement Other CQL commands USE TRUNCATE IST USERS LIST PERMISSIONS COL Shell commands DESCRIBE TRACING CONSISTENCY COPY CAPTURE ASSUME SOURCE SHOW EⅹIT Summary 4. Deploying a Cluster Evaluating requirements Hard disk capacity RAM CPU Is node a server? Network System configurations Optimizing user limits Swapping memory lock synchronization Disk readahead ne required software Installing Oracle java 7 RHEL and CentOS systems Debian and Ubuntu systems Installing the Java Native Access library Installing Cassandra stalling from a tarball Installing from ASFRepository for Debian or Ubuntu Anatomy of the installation Cassandra binaries Configuration files Setting up data and commitlog directories Configuring a Cassandra cluster The cluster name The seed node Listen broadcast, and rpc addresses num tokens versus initial token num tokens initial token Partitioners The random partitioner The Byte-ordered partitioner The mumur'3 partitioner Snitches Simplesnitch Property File Snitch Gossiping Property FileSnitch RackInferringsnitch EC2Snitch EC2MultiRegion Snitch Replica placement strategies Simplestrategy NetworkTopology strategy tiple data center setups Launching a cluster with a script Creating a keyspace Authorization and authentication Summary 5. Performance tuning Stress testing Database schema Data distribution Write pattern Read queries Performance tuning Write performance Read performance Choosing the right compaction strategy Size-tiered compaction strategy evered compaction R ow cache Key cache Cache settings Enabling compression Tuning the bloom filter More tuning via cassandra. yaml commitlog sync column index size in kb commitlog total space in mb Tweaking JVM Java heap Garbage collection Other JVM options Scaling horizontally and vertically Network Summary 6. Managing a uster - Scaling Node Repair, and Backup Scaling Adding nodes to a cluster Adding new nodes in vnode-enabled clusters 【实例截图】
【核心代码】
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