simpledb

Today, I received an AWS email list. Following web services such as EC2, S3, simpledb, and SQS, Amazon launched the content delivery service cloudfront beta2. If EC2 solves the computing power problem and S3 solves the storage problem, cloudfront solves the global distribution problem. In the Internet era, the Earth is not smooth, and it is all tied to those submarine cables. The speed of accessing web sites in other countries or regions is still unsa

and management portal two parts. Business interface: Provide billing interface to BSS system, account opening interface and so on. Network Management interface: provide a specific level of alarm information, as well as provide real-time acquisition of KPI indicators and statistical analysis data.IaaS Products and Services: Amazon AWS Services: Simple storage services, elastic computing cloud, simple arrangement services, SimpleDB. Synaptic. GoGrid: P

of most NoSQL databases on the market by abandoning consistency.In Amazon's well-known distributed database Dynamo, it is a similar approach: "3 copies, 2 successful after the return of success, the remaining 1 copies of the subsequent synchronization", we call this mode "final consistency"Typical representatives in this area are: Dynamo (KV database) Voldemort (KV database) Tokyo Cabinet (KV database) KAI (KV database) Cassandra (Columnstore database) CouchDB (docu

through LiveBindings. The Delphi and C ++ Builder applications can be deployed on Amazon EC2 and Windows Azure. They also support Amazon Simple Storage Service APIs, Queue Service, and SimpleDB. RADPHP is now targeted at iOS and Android devices and can visually display the appearance of applications on various mobile devices. Developers can also generate native applications for these platforms from PHP. RADPHP uses the jQuery Mobile control to design

, the cache management of P is very simple and does not have to worry about caching failures like multi-client scenarios. However, in fact, as far as I know, both Redis and Amazon SimpleDB have support for conditional update.lock mechanism and MVCC comparisonThe above describes the locking mechanism and the basic principles of MVCC, but for them to apply to what occasions, the different circumstances of the two mechanisms of the merits and demerits of

Yun (bluecloud) program, which will "enable enterprise data centers to operate like the Internet through distributed global resources". After that, IBM's cloud computing will probably include all of its business and product lines. 　　3. Amazon Cloud Computing Amazon, one of the first companies to enter the emerging markets for cloud computing, has started a good start for companies trying to get into the field. Amazon's cloud name is Amazon Network Service (Amazon WebServices, hereinafter call

primary key generation), it is most likely that the same primary key will appear in a single database set. You can reconcile sequences across distributed databases, but this increases the complexity of the system. The safest way to avoid the same primary key is to have the application (the application will manage the Shard system) generate the primary key. Cross splitting queryMost segmentation implementations (including Hibernate shards) do not support cross splitting queries, which means tha

platformWebsite analysis and real-time analysisE-commerce applicationsnon-applicable occasions :Complex transactions with multiple operationsQuerying a continuously changing aggregation structure10. Column Family DatabaseColumn Family Database : can store keywords and their mapped values, you can divide the values into multiple column families, so that each column family represents a data map table. (Cassandra, HBase, hypertable, Amazon SimpleDB)Appl

tuple can have a different field, each tuple can add some of their own key value pairs as needed, so that it is not limited to fixed structure, can reduce some time and space overhead. In this way, users can add the fields they need as needed, so that in order to get different information of the user, it is not necessary to query the multi-tables in the relational database. The query can be completed only by taking the corresponding value out of the ID. But the non-relational database, because

underlying storage:the underlying storage of a database typically uses a file system python can access the database through a database interface or ORMORM does not write SQL statements by itselfPYTHONDB is the interface program required to access the database, and the interface program is a Python module that provides the interface of the database client library. python accesses the database through the Db_api interface, DB_API provides the access interface for different databases, and porti

database, implemented directly by Amazon Dynamo database* Oracle NoSQL Database: Key-valued NoSQL databases from Oracle, supporting transaction acid and JSON* Oracle NoSQL Database: Data backup and distributed key-value storage System* Voldemort: Data backup and distributed key-value storage System* Aerospike: A key-value storage database that supports a hybrid memory architecture that ensures data integrity through strong consistency and adjustable consistency Column Store Databa

to have the application (the application will manage the sharding system) generate a primary key. Cross-Slice query Most sharding implementations do not support cross-slice queries, which means that if you want to take advantage of two datasets of different shards, you must handle the extra length. (Interestingly, Amazon's SimpleDB also prohibits cross-domain queries) For example, if you store US customer information in slic

structure, and the composition of each tuple field is the same, even though not all of the fields are required for each tuple, but the database assigns all the fields to each tuple, which makes it easier to connect the table to the table, But from another point of view it is also a factor in relational database performance bottlenecks. Instead of relational databases stored in key-value pairs, its structure is not fixed, each tuple can have a different field, each tuple can increase or decrease

storage database, implemented directly by Amazon Dynamo database* Oracle NoSQL Database: Key-valued NoSQL databases from Oracle, supporting transaction acid and JSON* Oracle NoSQL Database: Data backup and distributed key-value storage System* Voldemort: Data backup and distributed key-value storage System* Aerospike: A key-value storage database that supports a hybrid memory architecture that ensures data integrity through strong consistency and adjustable consistency Column Stor

. Working with databases Connect to Native Database: command line input mysql -u root -p , then enter the password Display database: Show DATABASES; , select database: Use simpledb; , display table: Show TABLES; Show table column: Show Column S from customers; Retrieving data To retrieve a single column:SELECT prod_name from the products;The returned result is unordered When retrieving multiple columns, add

database: The value of the document database is semantic and stored in JSON alive XML format.Cap theoryA distributed database cannot meet these three principles at the same time, only two of these-Database to meet CP: mongodb,redis,hbase,bigtable, etc.-Database to meet AP: Simpledb,kai, etc.-Meeting CA data: Typically a traditional relational database, Vetica (column-oriented) data.Mainstream NoSQL Database-key-value:redis, in-memory database, when t

And friends of the high concurrency, and once again involved in the Erlang,erlang from the family of Ericsson, has a very high stability of the virtual machine and Platform library, Facebook used it to implement the chat system, Amazon developed SimpleDB, The most amazing is the What ' sapp, the high concurrency of the processing mechanism is eye-catching, it is time to understand Erlang. The world is parallel, Erlang programs reflect the way we thin

easy. This database-centric focus is part of the King James or the only right way. It makes you more obsessed with Microsoft. Vendor lock-In is always good for the manufacturer.Why are we developing this? Why don't we consider the behavior of the application more than how it is stored? Now all of my projects use JSON-based key/value storage. With this feature, I can choose any storage engine I want, including SQL Server,oracle,postgresql,mysql,cassandra, CouchDB, Couchbase, Dynamo,

implementations (including Hibernate shards) do not support cross splitting queries, which means that if you want to take advantage of two datasets with different slices, you must deal with extra lengths. (Interestingly, Amazon's SimpleDB also prohibits cross-domain querying) For example, if you store US customer information in Shard 1, you also need to store all of the relevant data here. If you try to store those data in Shard 2, the situation beco

, final consistency (non-acid), bulk data, etc. It's a wide variety, such as a column database (Hadoop/hbase, Cassandra, hypertable, Amazon simpledb, etc.), a document-type database (MongoDB, CouchDB, Orientdb, and so on), a key-value database (Azure Table Storage, Membase, Redis, Berkeley DB, memcachedb, etc.), graphics database (neo4j, Infinite graph, sones, bigdata, etc.), object-oriented database (DB4O, Versant, objectivity, starcounter, etc.), gr