riak vs cassandra

includes Spark, Mesos, Akka, Cassandra, and Kafka, with the following features: Contains lightweight toolkits that are widely used in big data processing scenarios Powerful community support with open source software that is well-tested and widely used Ensures scalability and data backup at low latency. A unified cluster management platform to manage diverse, different load applications. When deploying specific applications,

Cassandra is an open-source distributed database that combines the key/value of dynamo with the column-oriented Feature of bigtable. Cassandra has the following features: 1. Flexible Schema: It is very convenient to add or delete fields without having to pre-design the schema like a database ). 2. Support Range Query: You can query the range of keys. 3. high availability and scalability: sin

SummaryThis article mainly introduces Cassandra Threading technology, the implementation of Cassandra is Java-based, so threading technology is also used by the JDK package provided by the threading class. Cassandra is a distributed database, and the entire concurrency architecture is based on a phased event-driven architecture (staged Envent-driven architecture)

Detailed configuration of Cassandra Understanding the meaning of a software configuration item is a prerequisite for using this software, which details the meaning of each configuration item in the Cassandra configuration file (Storage-config.xml), which contains a number of configuration parameters that we can adjust to achieve the desired performance. In order to save space there is no listing of the con

1. Start the client tool and connect to a specific Cassandra instance. The-host and-port parameters of the instance must be provided during connection, if the provided parameters are correct, the client tool will connect you to Cassandra. for example, if you run a single-node cluster on localhost, the client uses the following command to connect to localhost: [Default @ unknown] connect localhost/9160; Or c

Uninstall Cassandra$ sudo suRemove Cassandra$ apt-get Remove CassandraCleaned the Cassandra folders$ rm-rf/var/lib/cassandra$ rm-rf/var/log/cassandra$ rm-rf/etc/cassandraInstall CassandraADD the DataStax Community repository to The/etc/apt/sources.list.d/cassandra.sources.li

. Ipartitoner is the interface of the partitioning device, and then the abstract class Abstractpartitioner inherits Iparttioner,randompartitioner, Murmur3partitioner, Localpartitioner inherits the abstract class Abstractpartitioner,ipartitioner encapsulates the API for token, has the midpoint () function to get the middle token function, and gets the smallest token, and token generation function GetToken (Bytebuffer key), this is the most important method, which is the token generation algorith

Just as the name of the Apache Cassandra comes from the famous thing like the witch, there is indeed a variety of misunderstandings in it. Like most misunderstandings, they do have a point at least in the first place, but as Cassandra continues to deepen and improve, the content of these misconceptions has ceased to exist. In this article, I will explain five common puzzles and clarify people's confusion.

How to Create a secondary index for a row column is a common question in Cassandra. The following post describes an implementation method. Of course, this is not the only method. For experienced Cassandra users, this post should be of interest. The implementation method described here does not need super column at all, so there will be no complexity and constraints brought about by the use of super column.

Cassandra clusters have no central nodes and each node has the same status. They maintain the cluster status through a protocol called gossip. Through gossip, each node can know which nodes are included in the cluster and their statuses, which enables any node in the Cassandra cluster to route any key, unavailability of any node will not cause disastrous consequences.I. Gossip algorithm background The gossi

Cassandra vs hbaseBy vaibhav puranikTranslated by jametong We are an advertising network company. we need to store the display and click information. we are evaluating multiple different mass data (or nosql, or whatever you like) systems for our new project. past 8We have been using hbase on a test product for the past month and are satisfied with its performance. However, Cassandra has been very popular r

Example of integrated development of Spring Boot with Spark and Cassandra systems, sparkcassandra This article demonstrates how to use Spark as the analysis engine and Cassandra as the data storage, and use Spring Boot to develop the driver. 1. Prerequisites Install Spark (Spark-1.5.1 is used in this article, for example, the installation directory is/opt/spark) Install

Description: This article is based on the Cassandra1.2.0 version. In Cassandra, there are some concepts of data center, frame, virtual node, replica, replica strategy, and partitioning device in the data distribution, which are inseparable, sometimes confusing and difficult to understand. Today I would like to make a summary, I hope to play a role in the discussion, welcome. Network topology structure In order to facilitate the future expansion of

If it is a MAVEN project, add dependencies to the Pom.xml. If not, download the appropriate jar package and put it in the Lib directory. The version of the driver package here is consistent with the large version of your Cassandra. My Cassandra version here is the latest 3.9, the driver is 3.01 Dependency>2 groupId>Com.datastax.cassandragroupId>3 Artifactid>Cass