The main characteristic of Cassandra is that it is not a database, but a distributed network service composed of a bunch of database nodes, a write operation to Cassandra will be copied to the other nodes, and the read operation to Cassandra will be routed to a node to read. For a Cassandra cluster, scaling performance
Source: comparison of various nosql databases in http://hi.baidu.com/eastdoor/blog/item/758d0e3eedb5d92471cf6c14.html Cassandra, MongoDB, CouchDB, Redis, Riak, HBaseCouchDBDevelopment language: ErlangMain advantages: data consistency and ease of useLicense: ApacheProtocol: HTTP/RESTApplicable: accumulated, less changed data. Or a large number of versions are required.Example: CRM, CMS systems. multi-site deployment is allowed.RedisDevelopment language
Spring data gives us a lot of access to the data, and then we combine Spring-data-cassandra to see how to quickly implement access to Cassandra data.Of course, the Official Handbook is a must-see, official 1.2.0RELEASE document. Prepare for the basic use of dependency:SETP1: Defines a domain model (called an entity in JPA), such as Person:Import Org.springframework.data.cassandra.mapping.PrimaryKey;Import o
1, Official document, basic typedata Query Language documentation:http://www.datastax.com/documentation/cql/3.1/cql/cql_reference/update_r.htmldata types supported by CQL:Compared to MySQL, there are several types of interesting,uuid type, map,list,set type, this optimization association query, directly to the list into a record.
CQL Type
Constants
Description
Ascii
Strings
Us-ascii character st
In the abstract design model, we often need to face another problem, that is, how to specify each column family the various keys used. In various documents related to Cassandra, we often encounter the following series of key nouns: Partition key,clustering key,primary key and composite key. So what are they referring to?Primary key is actually a very general concept. In Cassandra, it represents one or more
Cassandra cannot create a table today. The following error message is displayed:
Connected to: "Sentiment Cluster" on localhost/9160Authenticated to keyspace: sentimentLine 2 => Cluster schema does not yet agreecreate DB error: 20120322
Frequent tracing and feedback:
Http://wiki.apache.org/cassandra/FAQ#schema_disagreement
Cassandra schema updates assumeThat sc
-10.0.0
Python setup.py Install
Configuring the Python environment variable
VI ~/BASHRC
Export Python=/usr/local/python2.5/bin/python
Part 2: Build Cassandra Cluster
Assume that all software is installed in the ~/datastax directory
Download Cassandra Release Package: (We have 3 packages, followed by the Cassandra Server package, the web-based Visual Cluste
Cassandra 2.0 database forJava local client access to Cassandra, first building Java engineering, using MAVEN for management.Introduce dependencies:1. Like Elasticsearch, the client now constructs a cluster object:Cluster Cluster = Cluster.builder () . Addcontactpoint ("Your IP") . Build (); Metadata Metadata = Cluster.getmetadata (); System.out.printf ("Connected
Spring data brings us a lot of convenience in accessing the data, and then we'll combine Spring-data-cassandra to see how to quickly access the Cassandra data.
Of course, the Official Handbook is sure to look at the official 1.2.0RELEASE document. Prepare the dependency for basic use:
SETP1: Define a domain model (called an entity in JPA), such as Person:
Import Org.springframework.data.cassandra.mapping.
Cassandra data model I. Several Concepts
Cluster: Cluster, a node contained in a logical Cassandra instance. A cluster can contain multiple keyspaces.Keyspace: The namespace of the column family, usually an application keyspace.Column family: contains multiple columns. Each column includes name, value, and timestamp. Column family is referenced by row key.Super column: it can be seen that its column contain
Snitch determines which data center and rack the node belongs to. Snitch notifies the Cassandra network topology to request a valid route, and allows the Cassandra to distribute replicas when the server is added to the data center or rack. In particular, how replication policies place replicas is based on the information provided by the new snitch. Cassandra doe
Data storage rules in cassandra
Data: stores real data files. multiple directories can be specified for the sstable file.
Commitlog: stores data that is not written to sstable (put in the log file before each write ).
Cache: stores cached data in the system (loads cached data from this directory when the service is restarted ).
Reasonably arrange the positions between the above nodes to improve performance.
CommitlogCommilog consists of two parts
In cassandra, Data Consistency refers to the update and synchronization of data rows on each replication node (replicas. By providing tunable consistency, Cassandra extends the concept of eventual consistency. For any read or write operations, the client determines the degree of data consistency (Per-request consistency) based on the response time and data accuracy requirements ).In addition to tunable cons
Mode 0: the old-fashioned way
I used to like using kill-9 to close certain processes,
For example, to turn off Tomcat, often eat the following shell
Ps-ef | grep Tomcat | Grep-v grep | awk ' {print $} ' | Xargs kill-9
First Use Ps-ef | grep Tomcat detects Tomcat-related processes, and then uses grep-v grep to filter out the grep tomcat process, leaving the record of the process that needs to be closed, containing multiple pieces of information.
So we use awk to select the second item, the pro
1. A good feature of Cassandra is that columns can be sorted by column key, so that when Rowkey is determined, it is convenient for the range of the same "row" (range query) to be searched; officially, every "line" (Wide row) You can add up to 2 billion columns, although, according to ebay's engineers, there are no more than million in practice; The data value of the same row exists in the same server and will not be separated;2. And the column mode i
Use Elasticsearch, Kafka, and Cassandra to build streaming data centers
Over the past year, I 've met software companies discussing how to process application data (usually in the form of logs and metrics ). During these discussions, I often hear frustration that they have to use a group of fragmented tools to aggregate the data over time. These tools, such as:-tools used by O M personnel for monitoring and alarms
-Tools used by developers to track
Install Python2.7 Cassandra 2.2.5 used python2.7, and CentOS 6.7 came with Python is 2.6, so to install python2.7, but can not delete 2.6 version, because Yum need to use python2.6, see CentOS Install Python2.7
2. Installation of DataStax cassandra2.2.5 http://docs.datastax.com/en/cassandra/2.2/cassandra/install/installRHEL.html
3. After the installation of the
A relational database management system (RDBMS) is the most commonly used system for storing and using data, but the scalability of these databases is not very good for large amounts of data.
In recent years, the concept of NoSQL has been widely welcomed because of the increasing demand for substitute products for relational databases. The biggest motivation behind NoSQL is scalability. The NoSQL database solution provides a way to store and use large amounts of data, with less overhead, fewer
Before talking about gossip, first define what is Cassandra instance.
Cassandra Instance:
is a set of independent nodes in the cluster, all nodes are equivalent.
Cassandra the interaction between nodes:
The Gossip protocol (final consistency principle) is used to discover the location and state information of nodes in other clusters through the
The reliability, delay and consistency of the distributed system are general problems, not limited to the database, and Cassandra provides a good solution to the problem.Cassandra claims to be able to achieve the efficient access to database access across data centers, and it is implemented in a way that gives users the tradeoff between latency, throughput, and consistency. Cassandra provides two levels of
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