Left Outer Join Query

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Hive (iv) –hive QL

Hive in the official document of the query language has a very detailed description, please refer to: http://wiki.apache.org/hadoop/Hive/LanguageManual, most of the content of this article is translated from this page, Some of the things that need to be noted during the use process are added. Create tablecreate [EXTERNAL] TABLE [IF not EXISTS] table_name [col_name data_t ...

The complete collection of SQL statement operations is worth permanent collections

The complete collection of SQL statement operations deserves to be permanently stored the following statements are part of the MSSQL statement and are not available in Access. SQL classification: ddl-data Definition language (create,alter,drop,declare) dml-Data Manipulation Language (Select,delete,update,insert) dcl-Data Control Language (Grant,revoke, Commit,rollback first, briefly introduce the basic statement: 1, Description: Create number ...

Hive (five) –hive optimization

Hive is optimized for different queries, and optimization can be controlled by configuration, this article will introduce some of the optimization strategies and optimization control options. Column cropping (columns pruning) When reading data, read only the columns that are needed in the query, ignoring the other columns. For example, for queries: SELECT a,b from T WHERE e < 10; Where T contains 5 columns (a,b,c,d,e), the column c,d will be ignored and only read A, B, e column ...

Five tips for writing a hive program

Using hive, you can write complex MapReduce query logic efficiently and quickly. In some cases, however, the Hive Computing task can become very inefficient or even impossible to get results, because it is unfamiliar with data attributes or if the Hive optimization convention is not followed. A "good" hive program still needs to have a deep understanding of the hive operating mechanism. Some of the most familiar optimization conventions include the need to write large tables on the right side of the join, and try to use UDF instead of transfrom ... Like。 Here are 5 performance and logic ...

Several types of SQL connections: internal, leftist, right, full, cross connection

&http://www.aliyun.com/zixun/aggregation/37954.html ">nbsp;     SQL connections can be divided into internal, external, and cross joins. Database data: Book table ...

SQL Optimization Experience Summary 34

We want to do not only write SQL, but also to do a good performance of the SQL, the following for the author to learn, extract, and summarized part of the information to share with you! (1) Select the most efficient table name order (valid only in the Rule-based optimizer): The ORACLE parser processes the table names in the FROM clause in Right-to-left order, and the last table in the FROM clause (the underlying table driving tables) is processed first, In the case where multiple tables are included in the FROM clause, you must select the table with the least number of records as the underlying table. If...

Yuo Hao: SEO Web site Outside the chain optimization method Daquan

The intermediary transaction SEO diagnoses Taobao guest cloud host Technology Hall SEO method has many kinds, for the general website, the outside chain optimization accounted for the entire SEO process 50% about the proportion.   Therefore, how to do outside the chain is also our vast number of webmaster and SEO promotion Staff The most concerned about the problem. Site outside the chain optimization is generally two, one is to enhance the weight of the site, the other is to enhance the site keyword ranking. Yuo Hao that the weight of the site is a more general concept, often expressed as a number of technical indicators, such as the site's PR value, website ...

A collection of sophisticated SQL statement techniques

Subtle "SQL" Statement: Copy table (copy structure only, source table name: A new table name: b) Sql:select * into B from a Where 1<>1 copy table (copy data, source table name: A target table name: b) Sql:insert into B (   A, B, c) select d,e,f from B; Show article, submitter, and last reply time SQL: ...

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