Sql Checkpoint

For a lot of news at home and abroad, BBS and E-commerce sites are used asp+sql design, and write ASP programmers Many (there are a lot of just graduated), so, Asp+sql attack success rate is also relatively high. This kind of attack method has little to do with the NT version and the SQL version. There is no corresponding patch, because the loophole is caused by the programmer, and most of the book on ASP programming, the source code example has this flaw exists, in fact, just some legitimate ASP on the request of SQL, leaving endless trouble! A This attack method originated from ...

No database system can avoid a crash situation, even if you use a clustered, two-machine hot standby ... It is still not possible to completely eradicate the single point of failure in the system, and for most users, this expensive hardware investment cannot be sustained. So, when the system crashes, how to restore the original valuable data becomes an extremely important problem. In the recovery, the ideal situation is that your data files and log files are intact, so only need to sp_attach_db, the data file attached to the new database, or in the downtime ...

The Big data field of the 2014, Apache Spark (hereinafter referred to as Spark) is undoubtedly the most attention. Spark, from the hand of the family of Berkeley Amplab, at present by the commercial company Databricks escort. Spark has become one of ASF's most active projects since March 2014, and has received extensive support in the industry-the spark 1.2 release in December 2014 contains more than 1000 contributor contributions from 172-bit TLP ...

5K Project is the milestone of the flying platform, the system in scale, performance and fault tolerance have been a leap-type development to reach the world's leading level. 　　Fuxi as a flying platform distributed scheduling system, can support a single cluster 5000 nodes, running 10000 jobs, 30 minutes to complete the 100TB data Terasort, performance is at that time Yahoo! in the Sortbenchmark of the world record twice times. Fuxi introduced "Flying" is Alibaba's cloud computing platform, which distributed scheduling system is named "Fuxi" (Code name f ...).

Spark is a cluster computing platform that originated at the University of California, Berkeley Amplab. It is based on memory calculation, from many iterations of batch processing, eclectic data warehouse, flow processing and graph calculation and other computational paradigm, is a rare all-round player. Spark has formally applied to join the Apache incubator, from the "Spark" of the laboratory "" EDM into a large data technology platform for the emergence of the new sharp. This article mainly narrates the design thought of Spark. Spark, as its name shows, is an uncommon "flash" of large data. The specific characteristics are summarized as "light, fast ...

&http://www.aliyun.com/zixun/aggregation/37954.html ">nbsp; This article is my understanding and thoughts on the level of the operators of distributed computing. Because the recent development of their own task is related to this aspect, the company has a self-study of the class flow calculation framework needs to do a layer of operator. My main analysis is the flow of the implementation of the operator on the system, compared with the existing computing framework and the industry is carrying out the project, analysis points ...

In the case of double 11 singles day traffic peaks this year, the real-time data update frequency is still stable: from the first second, the rushing party into the order payment, to complete the real-time calculation and delivery to the media full screen full path, seconds Level response.

Spark can read and write data directly to HDFS and also supports Spark on YARN. Spark runs in the same cluster as MapReduce, shares storage resources and calculations, borrows Hive from the data warehouse Shark implementation, and is almost completely compatible with Hive. Spark's core concepts 1, Resilient Distributed Dataset (RDD) flexible distribution data set RDD is ...

----------------------------------------------------------------------1, SQL database recovery model---------------------------- ------------------------------------------1) Full Recovery model-----------------(1) data to back up the database when backing up ...

Several articles in the series cover the deployment of Hadoop, distributed storage and computing systems, and Hadoop clusters, the Zookeeper cluster, and HBase distributed deployments. When the number of Hadoop clusters reaches 1000+, the cluster's own information will increase dramatically. Apache developed an open source data collection and analysis system, Chhuwa, to process Hadoop cluster data. Chukwa has several very attractive features: it has a clear architecture and is easy to deploy; it has a wide range of data types to be collected and is scalable; and ...