Access Distinct Query

We have described in detail the usage of query language, but query language only solves the problem of query or operation condition, more cooperation also need to use the consistent operation method provided by model. The introduction of a coherent operation can effectively improve the code definition and development efficiency of data access, and support all curd operations, but also a highlight of Thinkphp's ORM. The use is also relatively simple, if we now want to query a user table to meet the status of 1 of the first 10 records, and want to be sorted by the time of creation of users, the code is as follows: $User-...

Hadoop is a large data distributed system infrastructure developed by the Apache Foundation, the earliest version of which was the 2003 original Yahoo! Doug cutting is based on Google's published academic paper. Users can easily develop and run applications that process massive amounts of data in Hadoop without knowing the underlying details of the distribution. The features of low cost, high reliability, high scalability, high efficiency and high fault tolerance make Hadoop the most popular large data analysis system, yet its HDFs and mapred ...

First, the importance of the index The index is used to quickly find a column in a particular value of the line. Instead of using an index, MySQL must start with the first record and then read the entire table until it finds the relevant row. The larger the table, the more time it takes. If the table in the query column index, MySQL can quickly reach a location to search the middle of the data file, there is no need to see all the data. Note that if you need to access most of the rows, sequential reads are much faster since we avoid disk searches. If you use Xinhua Dictionary to find "Zhang" the Chinese characters, do not use the directory, then ...

The upcoming Stardog 2.1 query scalability improves by about 3 orders of magnitude and can handle 50 billion triple on a 10,000-dollar server. We have never focused too much on stardog scalability itself: we first consider its ease of use and then consider its speed. We just assumed it would make it extremely scalable. Stardog 2.1 makes querying, data loading, and scalability a huge leap forward. Run S on a 10,000 dollar server hardware (32 cores, 256 GB RAM).

Hadoop is a large data distributed system infrastructure developed by the Apache Foundation, the earliest version of which was the 2003 original Yahoo! Dougcutting based on Google's published academic paper. Users can easily develop and run applications that process massive amounts of data in Hadoop without knowing the underlying details of the distribution. The features of low cost, high reliability, high scalability, high efficiency and high fault tolerance make Hadoop the most popular large data analysis system, yet its HDFs and mapreduc ...

With the proliferation of data volume, Mysql+memcache has not met the needs of large-scale Internet applications, many organizations have chosen Redis as its architectural complement, however, redis the use of the threshold is not low, such as not supporting SQL, here for everyone to share the Redis use of the full raiders. Redis, one of the most closely watched NoSQL databases, has been used by many well-known internet companies, such as Sina Weibo, Pinterest and Viacom. However, being born with no support for SQL makes him look difficult ...

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Pig is a Yahoo donated project to Apache and is currently in the Apache incubator, but the basic functionality is already available. Today I would like to introduce you to this useful pig.pig is Sql-like language, is built on the mapreduce of an advanced query language, Some operations are compiled into the MapReduce model's map and reduce, and users can define their own capabilities. Yahoo Grid Computing department developed another clone of Google's project: Sawzall. Supported operations ...