Sql Batch Insert

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Millions data 4 SEC Import SQL Server Introduction

Presumably every DBA would like to challenge the data import time, the shorter the work efficiency, the more sufficient to prove their strength. In the actual work sometimes need to import a large amount of data into the database, and then for various program calculation, this article will recommend a challenge 4 seconds limit to let millions data into SQL Server experiment case. This experiment will use the 5 method to complete this process, and detailed records of the various methods of time spent. The tools used are Visual Studio 2008 and SQL Server 2000, SQL S ...

Large-scale processing from ETL conversion to Elt:netezza

CIO: Why is the super [commercial-level RDBMS] system not in sufficient stamina? Didn't we just get a grade? Manager: Yes, but the upgrade was not accepted. CIO: Not accepted? It sounds like a doctor transplanting an organ. Is there a rejection of the CPU? (laughter) Manager: (calmly) No, it's just not accepted by the user. The system is still too slow. CIO: We've been http://www.aliyun.com/zixun/aggregation/11585.html&quo ...

Concatenation (Join) and segmentation (Split) of MSSQL strings

The concatenation (join) and segmentation (split) of MSSQL strings are often used by masters using select number from Master. spt_values WHERE type = ' P ', this is a good way to do it, but there are only 2048 digits, and the statement is too long and not convenient. In short, a digital assistance table (100,000 or 1 million per person needs), you deserve it. 2. Useful index of the calendar table: ★★★☆☆ "SQL Programming Style" a book suggests an enterprise ...

Hadoop White Paper (4): Introduction to Data Warehouse Hive

Hive is a data Warehouse architecture built on Hadoop.   It provides: • A set of convenient tools for implementing data extraction (ETL).   • A mechanism for users to describe their structure to the data.   • Support the ability of users to query and analyze massive amounts of data stored in Hadoop. The basic feature of Hive is that it uses HDFS for data storage and uses Map/reduce framework for data manipulation. So essentially, Hive is a compiler that puts the user ...

High-level language for the Hadoop framework: Apache Pig

Apache Pig, a high-level query language for large-scale data processing, works with Hadoop to achieve a multiplier effect when processing large amounts of data, up to N times less than it is to write large-scale data processing programs in languages ​​such as Java and C ++ The same effect of the code is also small N times. Apache Pig provides a higher level of abstraction for processing large datasets, implementing a set of shell scripts for the mapreduce algorithm (framework) that handle SQL-like data-processing scripting languages ​​in Pig ...

Intel Wugansha: Large Data development context

On the morning of 26th, Mr. Wugansha, chief engineer of the Intel China Research Institute, delivered a speech on the theme of "Big Data development: Seeing yourself, seeing the world, seeing sentient beings". In the speech, Wugansha pointed out that the next wave of the big science and technology revolution has been ready, large data models can be divided into three categories, the first category to see themselves, as Socrates said you have to know yourself. The second level is to see heaven and earth, you have to pay attention to yourself, to the world between heaven and earth, to understand the community and social behavior. The third is to see sentient beings, the so-called sentient beings are heaven and earth, nature, all things, the so-called all sentient beings have Buddha nature, this is the day ...

Big data improvements for MySQL: Support for NoSQL and Hadoop

When it comes to big data, it has to do with Alibaba. The world's leading E-commerce enterprise, the amount of data processed every day is unmatched by any other company, it is also transforming into a real data company--mysql is an important weapon in the transformation of Alibaba.   A database architect who interviewed Ali, who believes Ali has the best performance of open source MySQL, beyond any relational database and NoSQL. In the 2009, Oracle acquired the copyright of MySQL by acquiring Sun, and the industry began to question the use of Oracle ...

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