What are the differences between Oracle and mysql? _ MySQL

9 Differences between Oracle and mysql 1. group function usage rules

In mysql, group functions can be used at will in select statements. However, if a group function exists in a query statement in oracle, other column names must have been processed by group functions, or a column in the group by clause. Otherwise, an error is returned.
Eg: select name, count (money) from user; this is put in mysql. No problem occurs in oracle.

2. automatically increasing data type processing

MYSQL has a data type that increases automatically. when you insert a record, you do not need to operate on this field. the data value is automatically obtained. ORACLE does not have an auto-increasing data type. you need to create an auto-increasing serial number. when inserting a record, you need to assign the next value of the serial number to this field.
Create sequence serial number name (preferably table name + serial number mark) increment by 1 start with 1 MAXVALUE 99999 cycle nocache;
The maximum value is determined by the length of the field. if the defined auto-increment serial NUMBER (6), the maximum value is 999999.
INSERT statement INSERT this field value: name of the serial number. NEXTVAL

3. single quotation marks

MYSQL can use double quotes to enclose strings. ORACLE can only use single quotes to enclose strings. You must replace single quotes before inserting and modifying strings: replace all the existing single quotes with two single quotes.

4. processing of paging SQL statements

The SQL statement for MYSQL to process paging is relatively simple. it uses LIMIT to start the position and record the number. in PHP, you can also use SEEK to locate the result set. It is complicated for ORACLE to process paging SQL statements. Each result set has only one ROWNUM field to indicate its position, and only ROWNUM <100, not ROWNUM> 80 can be used.
The following two SQL statements (ID is the field name of the unique keyword) are better after analysis ):
Statement 1:
Select id, [FIELD_NAME,...] FROM TABLE_NAME where id in (select id from (select rownum as numrow, id from TABLE_NAME WHERE condition 1 order by condition 2) where numrow> 80 and numrow <100) order by condition 3;
Statement 2:
SELECT * FROM (select rownum as numrow, c. * from (select [FIELD_NAME,...] FROM TABLE_NAME WHERE condition 1 order by condition 2) c) where numrow> 80 and numrow <100) order by condition 3;

5. process long strings

ORACLE processing of long strings also has some special features. The maximum length of a string that can be operated during INSERT and UPDATE is less than or equal to 4000 single bytes. if you want to INSERT a longer string, use the CLOB type for the field to use the DBMS_LOB package that comes with ORACLE. Before inserting a modification record, you must make a non-null and length judgment. if the field value cannot be blank or the field value beyond the length is exceeded, a warning should be given, and the last operation is returned.

6. processing date fields

Mysql date fields are divided into DATE and TIME. The oracle date field is only DATE, which contains information about the year, month, day, hour, minute, and second. the system TIME of the current database is SYSDATE, accurate to seconds, or use a string to convert to the date type function TO_DATE ('1970-08-01 ', 'yyyy-MM-DD') year-month-day 24 hours: minute: Second format YYYY-MM-DD HH24: MI: SS TO_DATE () has many date formats. For more information, see oracle doc. convert a datetime field to a string function TO_CHAR ('2017-08-01 ', 'yyyy-MM-DD HH24: MI: SS ')
The mathematical formulas for date fields vary greatly. MYSQL found 7 days from the current time with DATE_FIELD_NAME> SUBDATE (NOW (), INTERVAL 7 DAY) ORACLE found 7 days from the current time with DATE_FIELD_NAME> SYSDATE