Difference: 1. Hive-sql does not support equijoin, but sql does; 2. Hive-sql does not support "Insert into table Values()", UPDATA, and DELETE operations, but sql does; 3. Hive-sql does not support transactions, while sql does.
Generally speaking, hiveSQL is basically the same as SQL. The original design purpose is to allow people who know SQL but cannot program MapReduce to use Hadoop for data processing. deal with.
1. Hive does not support equijoin
Does not support equijoin. Generally, left join, right join or inner join are used instead.
For example:
The inner association in SQL can be written like this: select * from a, b where a.key = b.key
In Hive it should be written like this: select * from a join b on a.key = b.key
The method of omitting join cannot be used in hive.
2. Semicolon character
The semicolon is the end symbol of the SQL statement, and it is also the symbol in hive. However, hive is not so intelligent in recognizing semicolons. Sometimes it is necessary to Escape ";" --> "\073"
3, NULL
null in sql represents a null value, but in Hive, String type If the field is an empty string, that is, the length is 0, then the is null judgment result is False
4. Hive does not support inserting data into existing tables or partitions
Hive only supports overwriting and rewriting the entire table.
insert overwrite 表 （重写覆盖）
5. Hive does not support Insert into table Values(), UPDATA, DELETE operations
insert into is to append data to the table or partition.
6. Hive supports embedding mapreduce programs to handle complex logic
There are currently no examples to provide.
7. Hive supports writing converted data directly to different tables, and can also write to partitions, hdfs and local directories
Avoid multiple scans of the input table s expenses.
8. HQL does not support row-level addition, modification, or deletion. All data is determined when loading and cannot be changed.
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