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 you to how to use SIMPLEJPA, rather than the
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 providing the final consistency.But
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.
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
We have already talked about the concurrency management and crash recovery management of transactions, leaving the last point:
1. Manage the transaction's own buffer
2. Transaction manage data read/write
> Transaction Buffer Management
A
The log class diagram is as follows:
Figure 1 log class diagram
> Basiclogrecord
The most basic log read/write class. Provides methods to read a log record. However, these types are limited to reading an int value or a string value in order
Java Development 2.0-using Amazon SimpleDB for cloud storage, part 1th-Starting with the SimpleDB and Amazon SDK
Throughout the series, I have shared with you a large number of non-relational data stores, collectively known as NoSQL. In a recent article, I showed you a huge difference between a document-oriented data store (CouchDB) and a schema-oriented relational database. In addition, the entire API for
Skynet's earthshaking-handing control over to LuaHttp://www.outsky.org/code/skynet-lua.htmlSep 7, 2014In my opinion, an important advantage of Skynet is the high degree of integration with LUA and the ability to write services in Lua. The principle of writing a service in C is simple: by providing the create, init, and release interfaces in the form of a dynamic link library, the main process loads the service as needed, and injects the callback function that handles the message into the main pr
BKJIA, December 10 (Internet headlines) Amazon's RDS Service Relational Database Service (Relational Database Service) has brought us a MySQL Database server in the cloud, making the concept of "Database as a Service" a reality, it provides a fast automatic upgrading/downgrading ladder for existing MySQL applications to enter the cloud.
We know that Amazon EC2 instances can run MySQL, and it also provides SimpleDB service BKJIA editing Note: EC2 is Am
First, compile Skynet:
1, with ubuntu15.10 Direct
Make LinuxThere will be an error in compiling Skynet. Install autoconf, Libreadline6, Libreadline6-dev after the success of the compilation.
sudo apt-get install autoconf
sudo apt-get install Libreadline6 Libreadline6-dev
II. related Code Analysis for examples:
1, about the examples/config inside a line:
Start = "Main"- -Main scriptIt means to open the first Skynet service Main.lua by start= "main". This file Main.lua also in the examples fo
element value and the second element value. For example, a composite hash-range key might be a combination of "UserID" (hash) and "timestamp" (range). By keeping the hash key element constant, you can search within the range keys element to retrieve the item. This way you can use the Query API to retrieve all the items of a single UserID in a series of timestamps, and so on, which is why Dynamodb is very much like SQL in the same way that it is nosql, and it's possible to achieve both the benef
-side JavaScript 1265.1.1 node application platform introduction 1265.1.2 install node 1275.1.3 use the node Package Manager 1315.1.4 introduction to MongoDB 1345.2 to-do list application Cloud analysis 1405.2.1 perform analysis and calculation 1405.2.2 design of system architecture 1425.2.3 collect and use data 1495.2.4 submit use data 1545.2.5 generate use data chart 1565.3 Summary of this Chapter 164Chapter 4 Use cloud 6th6.1 classic cloud architecture 1676.1.1 restful method 1686.1.2 cloud d
filtering and result sorting 17010.1.5 Java App Engine sdks 17210.2 Amazon simpledb 17510.2.1 getting started with simpledb 17610.2.2 use rest API 17810.2.3 access simpledb 181 using Java10.2.4 use simpledb 182 through Ruby and Python10.3 conclusion 183Chapter 2 mapreduce Scalable Parallel Processing 11th11.1 understa
cache Management of P is very simple, so it does not have to worry about cache failure like multi-client. However, as far as I know, both redis and Amazon SimpleDB already support Conditional Update.Comparison between lock mechanism and MVCC
The above describes the basic principles of the lock mechanism and MVCC, but the advantages and disadvantages of the two mechanisms are not very clear about where they apply. Here I will analyze some typical appl
This is a creation in
Article, where the information may have evolved or changed. This is the first thing I wrote with Go, there may be some bugs that haven't been tested. Here is mainly to provide a reference. You can rewrite your style.
Enter the following two commands at the command line to install
Go get github.com/male110/simpledb go install github.com/male110/simpledb
The Go Language databa
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