amazon simpledb

Java Development 2.0: Using Amazon simpledb to implement cloud storage, part 2nd: Implementing Simple Object persistence with SIMPLEJPA It is easy to model domain objects for almost all types of applications using a relational framework such as Grails, but what about using SimpleDB? In part 2nd of Andrew Glover's introduction to SimpleDB's series, he introduced

Amazon SimpleDB is a non-relational database that can be thought of as a NoSQL database that internally helps you store data in multiple regions (replicas) to support high concurrency reads, updates, and so on, only at the Central data node, But in a matter of seconds, the changes can be propagated to other nodes. From this, it can be seen that SimpleDB is provid

On the use, this is a heloworld tutorial, first we create a domain domains, equivalent to a table.Note that we can not do the connection between the domain operation, a single query can only be for a domain, not cross-domain, this is a limitation of simpledb, so developers should plan, do not choose the wrong domain. In addition, all of the storage is STRING,UTF-8 encoded.You can use the Java,python,ruby development package, here is not much to say, h

The previous sections basically implement data read and write. For database users, Structured Query Language is the window for accessing the database. This section describes how simpledb parses SQL statements. First of all, simpledb implements a subset of the SQL-92, the specific supported syntax is as follows: 1: 2:SelectFromWhere 3: 4: 5:And 6: 7:

A few gossips: at the end of, at the mentor's suggestion, I went to a teaching RDBMS, called simpledb, made by Professor Edward sciore at the Brown University, then I worked with my classmates to implement a C # version, just to understand the implementation principles of RDBMS. A few years later, when I was asked this little thing several times, I found that I had forgotten many details. You can't help but read it again. Perhaps, RDBMS doesn't want t

In a relational database, each operation must be completed in a transaction. From the top down, the transaction is at the top level. The transaction leads the query, the log, and the storage. According to the idea similar to the fountain model in software engineering, the expansion of the relational database management system from small to large components is viewed in iterative mode, and the non-semantic byte storage is initially solved, then append the underlying implementation of the log, a

We have introduced the parsing of SQL statements. Before we begin to introduce the implementation of query actions, we need to take a look at simpledb's management of metadata (metadata. Integrity considerations correspondCodeHere we will introduce record and metadata together. The class diagrams of metadata and record are as follows: Figure 1 metadata and record class diagram The class diagram shows that simpledb maintains four types of

As mentioned in (1), lexer is used as a tool to cut SQL strings and convert statements into a tokens array. Parser completes the post-order part of SQL parsing: Use a lexer object as a tool to cut out tokens, parse the semantics, and bind the relevant system interface. Here, we should first review the SQL syntax supported by simpledb, which affects the method it uses when parsing strings.

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