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1 Chapter 3: Using Oracle to Add, View, and Update Data.

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1 1 Chapter 3: Using Oracle to Add, View, and Update Data

2 2  Script: text file that contains a sequence of SQL commands  Running a script: SQL> START path_to_script_file;  Path cannot contain any blank spaces SQL Scripts

3 3  Syntax: INSERT INTO tablename VALUES (column1_value, column2_value, …);  You must insert a value or a NULL placeholder for every field  Fields must be entered in the order they appear in the table when you issue the DESCRIBE command Inserting a Value Into Every Field in a Record

4 4 Example:

5 5  Command to insert values for selected record fields: INSERT INTO tablename (column1_name, column2_name, …) VALUES (column1_value, column2_value, …); Inserting Selected Table Fields

6 6  Example: Inserting Selected Table Fields

7 7 Format Masks All data is stored in the database in a standard binary format Format masks are alphanumeric text strings that specify the format of input and output data Table 3-1: Number format masks Table 3-2: Date format masks Table 3-3: Character format masks

8 8  Date values must be converted from characters to dates using the TO_DATE function and a format mask  Example: Inserting Date Values

9 9  Must be enclosed in single quotes  Is case-sensitive  To insert a string with a single quote, type the single quote twice  Example: 'Mike''s Motorcycle Shop' Inserting Text Data

10 10  Transaction  Logical unit of work consisting of one or more SQL DML commands  INSERT, UPDATE, DELETE  All transaction commands must succeed or none can succeed  Transaction results are not visible to other users until they are “committed” to the database  Until a transaction is committed, it can easily be “rolled back” (undone) Transactions

11 11  A transaction starts when you type one or more DML commands in SQL*Plus  A transaction ends when you issue either the COMMIT or ROLLBACK command SQL>COMMIT; SQL>ROLLBACK; Transactions

12 12 Committing and Rolling Back Data COMMIT Makes transaction command changes permanent in the database and visible to other users ROLLBACK Rolls back transaction command changes and restores database to its state before the transaction

13 13  Used to mark individual sections of a transaction  You can roll back a transaction to a savepoint Savepoints

14 14  Syntax: UPDATE tablename SET column1 = new_value, column2 = new_value, … WHERE search_condition;  Records can be updated in only one table at a time  Can update multiple records if they all match the search condition Updating Records

15 15  Format: WHERE fieldname operator expression  Operators  Equal (=)  Greater than, Less than (>, <)  Greater than or Equal to (>=)  Less than or Equal to (<=)  Not equal (, !=, ^=  LIKE  BETWEEN  IN  NOT IN Search Conditions

16 16 WHERE s_name = ‘Sarah’ WHERE s_age > 18 WHERE s_class <> ‘SR’  Text in single quotes is case sensitive Search Condition Examples

17 17  Syntax: DELETE FROM tablename WHERE search_condition;  Deletes multiple records if search condition specifies multiple records  If search condition is omitted, all table records are deleted  You can’t delete a record if it contains a primary key value that is referenced as a foreign key Deleting Records

18 18 Truncating Tables Removes all table data without saving any rollback information Advantage: fast way to delete table data Disadvantage: can’t be undone Syntax: TRUNCATE TABLE tablename;

19 19  Sequential list of numbers that is automatically generated by the database  Used to generate values for surrogate keys Sequences

20 20  Syntax: CREATE SEQUENCE sequence_name [optional parameters];  Example: CREATE SEQUENCE f_id_sequence START WITH 200; Creating Sequences

21 21 Viewing Sequence Information Query the SEQUENCE Data Dictionary View:

22 22 Pseudocolumns Acts like a column in a database query Actually a command that returns a specific values Used to retrieve: Current system date Name of the current database user Next value in a sequence

23 23 Pseudocolumn Examples Pseudocolumn Name Output CURRVALMost recently retrieved sequence value NEXTVALNext value in a sequence SYSDATECurrent system date from database server USERUsername of current user

24 24  Retrieving the current system date : SELECT SYSDATE FROM DUAL; Retrieving the name of the current user: SELECT USER FROM DUAL;  DUAL is a system table that is used with pseudocolumns Using Pseudocolumns

25 25  Accessing the next value in a sequence: sequence_name.NEXTVAL  Inserting a new record using a sequence: INSERT INTO my_faculty VALUES (f_id_sequence.nextval, ‘Professor Jones’); Using Pseudocolumns With Sequences

26 26 Permissions that you can grant to other users to allow them to access or modify your database objects Granting object privileges: GRANT privilege1, privilege2, … ON object_name TO user1, user 2, …; Revoking object privileges: REVOKE privilege1, privilege2, … ON object_name FROM user1, user 2, …; Object Privileges

27 27 Examples of Object Privileges Object TypePrivilegeDescription Table, Sequence ALTERAllows user to change object’s structure using the ALTER command Table, Sequence DROPAllows user to drop object Table, Sequence SELECTAllows user to view object TableINSERT, UPDATE, DELETE Allows user to insert, update, delete table data Any database object ALLAllows user to perform any operation on object

28 28 Granting and Revoking Object Privileges

29 29  Syntax: SELECT column1, column2, … FROM tablename WHERE search_condition; Retrieving Data From a Single Table

30 30  To retrieve every column in a table: SELECT * FROM …  To retrieve every record in a table, omit the search condition SELECT column1, column2, … FROM tablename; Retrieving Data From a Single Table

31 31 Qualifying Table Names If you retrieve data from a table that is owned by another user, you must qualify the table name by prefacing it with the owner’s name

32 32  Sometimes queries retrieve duplicate records  To suppress duplicate outputs, use the DISTINCT qualifier : SELECT DISTINCT column1, column2, … FROM... Suppressing Duplicate Records

33 33  Combining search conditions  AND: both conditions must be true  OR: either condition can be true  Combining AND and OR in a single operation  AND comparisons are evaluated first  Always use parentheses to force conditions to be evaluated in the correct order Using Multiple Search Conditions

34 34  NULL: not defined  Use IS NULL search condition SELECT s_name, s_class FROM my_students WHERE s_class IS NULL; Searching for NULL Records

35 35  Use IS NOT NULL operator SELECT s_name, s_age FROM my_students WHERE s_class IS NOT NULL; Searching for NOT NULL Records

36 36 Using the IN and NOT IN Operators IN retrieves all values where the search column value matches a set of values SELECT * FROM enrollment WHERE grade IN (‘A’, ‘B’);

37 37 Using the IN and NOT IN Operators NOT IN retrieves all values where the search column value matches a set of values SELECT * FROM enrollment WHERE grade NOT IN (‘A’, ‘B’);

38 38 Using the LIKE Operator Performs inexact searches by matching part of a character string WHERE fieldname LIKE character_string;

39 39 Using the LIKE Operator Character string must be in single quotes and use wildcard characters % represents multiple wildcard characters _ represents a single wildcard character Wildcard characters can be placed at beginning or end of string Examples: WHERE s_class LIKE ‘_R’; WHERE s_name LIKE ‘J%’;

40 40  Use the ORDER BY clause  Specify sort key, which is column by which output is sorted SELECT s_name, s_age FROM my_students ORDER BY s_age; Sorting Query Output

41 41  Default sort order  Numerical: ascending  Character: A - Z  Date: oldest - newest  To force the sort order: use ASC or DESC  Example SELECT s_name, s_age FROM my_students ORDER BY s_age DESC; Sorting Query Data

42 42  Arithmetic operations on retrieved data  Addition (+)  Subtraction (-)  Multiplication (*)  Division (/)  Example: SELECT inv_id, qoh*price FROM inventory; Using Calculations in Queries

43 43  ABS - absolute value  CEIL – rounds a number up to the next integer  FLOOR – rounds a number down to the previous integer  MOD – returns the remainder of a number and a divisor  POWER - raises a number to an exponent  ROUND - rounds a number  SQRT – returns the square root of a value  TRUNC - truncates a number to the nearest whole number Single-Row Number Functions

44 44  Example: SELECT s_name, TRUNC((SYSDATE - s_dob)/365) FROM my_students; Using Single-Row Number Functions

45 45  CONCAT – joins 2 character strings  INITCAP – returns a string with the initial letter only uppercase  LENGTH – returns the length of a string  LPAD, RPAD – returns a string with a specific number of characters added on the left or right side  LTRIM, RTRIM – returns a string with all instances of a specific character trimmed from the left or right side  REPLACE – replaces all instances of a character with another character  UPPER/LOWER – returns a string in all upper/lower case letters Single-Row Character Functions

46 46  Example: SELECT UPPER(s_name) FROM my_students; Using Single-Row Character Functions

47 47  To find a date that is a specific number of days before or after a known date, add or subtract the number from the known date  Example: SELECT order_date + 30 FROM cust_order; Date Arithmetic

48 48  To find the number of days between two known dates, subtract the later date from the earlier date  Example: SELECT SYSDATE – s_dob FROM my_students; Date Arithmetic

49 49  ADD_MONTHS  returns a date that is a specific number of months after a given date  Example: SELECT ADD_MONTHS(SYSDATE, 6) FROM dual; Date Functions

50 50  LAST_DATE  Returns the date that is the last day of the month specified in the current date  Example: SELECT LAST_DATE(order_date) FROM cust_order WHERE order_id = 1057; Date Functions

51 51  MONTHS_BETWEEN  Returns the number of months between two input dates  Example: SELECT MONTHS_BETWEEN(order_date, SYSDATE) FROM cust_order WHERE order_id = 1057; Date Functions

52 52  Used to perform an operation on a field from a group of retrieved records  AVG (average of all retrieved values)  COUNT (number of records retrieved)  MAX (maximum value retrieved)  MIN (minimum value retrieved)  SUM (sum of all retrieved values) Group Functions

53 53 SELECT AVG (s_age) FROM my_students; SELECT MAX (s_age) FROM my_students; SELECT MIN (s_age) FROM my_students; SELECT SUM (s_age) FROM my_students; Group Function Examples

54 54  GROUP BY must be used if some columns in the SELECT clause are used in a group function and some are not  Group all fields that are not included in the group function  Example: SELECT s_class, AVG(s_age) FROM my_students GROUP BY s_class; Using the GROUP BY Clause

55 55 Creating Alternate Column Headings in SQL*Plus Syntax: SELECT column1 “heading1”, column2 “heading2”, … Example: SELECT (SYSDATE – s_dob) “Student Age” FROM my_students;

56 56 Creating a Column Alias Column alias: alternate column name that can be referenced in the ORDER BY and GROUP BY clauses Syntax: SELECT column1 AS alias1 …  Example: SELECT (SYSDATE – s_dob) AS age_alias ORDER BY age_alias

57 57 Dynamic SQL Queries Queries that allow users to specify search conditions at runtime Approaches Substitution Values Runtime Variables

58 58 Using Substitution Values Created when search expression is prefaced with an ampersand (&) System then prompts user for value

59 59 Using Runtime Variables Runtime variable: variable defined in SQL*Plus environment Syntax: DEFINE variable_name = variable_value; You can then substitute the variable name for a query search condition value

60 60 Using Runtime Variables Example:

61 61 Formatting Data Using the TO_CHAR Function Used to display NUMBER and DATE values using a specific format mask Syntax: TO_CHAR(fieldname, ‘format_mask’);

62 62 Join Queries Retrieve data from multiple tables by joining tables using foreign key references Join query types: Inner (equality) Outer Self Inequality

63 63 Inner Joins One record is retrieved for each matching row FACULTY

64 64  Syntax: SELECT column1, column2, … FROM table1, table2 WHERE table1.join_column = table2.join_column  You must include a join condition for every link between 2 tables Inner Joins Join condition

65 65  Example: SELECT s_name, f_name FROM student, faculty WHERE student.f_id = faculty.f_id;  If you have N tables in the FROM clause, you must have (N - 1) join conditions Inner Joins

66 66 Qualifying Field Names If a field in the SELECT clause exists in multiple tables in the FROM clause, you must qualify the field name by prefacing it with either table’s name

67 67 1.Identify all of the tables involved in the query, and label:  Display fields  Join fields  Search fields 2.Write the query  List all display fields in the SELECT clause  List all table names in the FROM clause  List all join condition links in the WHERE clause  List all search fields in the WHERE clause Process for Designing Complex Inner Join Queries

68 68 Outer Joins Limitation of inner joins: some records may be omitted if corresponding records don’t exist in one of the tables Example: retrieve records for all students, along with their corresponding ENROLLMENT information

69 69 Outer Joins Student 105 (Michael Connoly) does not have any ENROLLMENT records

70 70 Outer Joins No records retrieved for Michael:

71 71 Outer Joins To include records in first (inner) table, even when they do not have matching records in second (outer) table, place outer join marker (+) beside outer table name in join clause

72 72 Outer Joins Outer join marker

73 73 Self Joins Used to join a table to itself when the table has a hierarchical relationship

74 74 Self Joins To create a self-join, you need to create a table alias, which gives an alternate name to the table so you can create a join condition Syntax to create table alias in FROM clause: FROM table1 alias1, table2 alias2

75 75 Self Joins PARENT_PROJECT PROJECT SUB_PROJECT

76 76 Self Join Example

77 77 Inequality Joins Join created by placing making join condition satisfy an inequality condition Only makes sense when primary/foreign key values are not surrogate keys

78 78 Inequality Joins Join created by placing making join condition satisfy an inequality condition Only makes sense when primary/foreign key values are not surrogate keys

79 79 Inequality Joins

80 80 Nested Queries Created when a subquery is nested within a main query Main query: first query listed in SELECT command Subquery: retrieves one or more values that specify the main query’s search condition

81 81 Nested Query Where Subquery Returns a Single Value Syntax: SELECT column1, column2, … FROM table1, table2, … WHERE join conditions AND search_column1 = (SELECT column1 FROM table1, table2, … WHERE search and join conditions) Subquery that returns one value

82 82 Nested Query Where Subquery Returns Multiple Values Syntax: SELECT column1, column2, … FROM table1, table2, … WHERE join conditions AND search_column1 IN (SELECT column1 FROM table1, table2, … WHERE search and join conditions) Subquery that returns multiple values

83 83 Performs set operations on outputs of two unrelated queries Both queries must have: same number of display fields corresponding display fields must have same data type Using Set Operators in Queries

84 84 UNION: combines results, suppresses duplicate rows UNION ALL: combines results, displays duplicates INTERSECT: finds matching rows MINUS: returns the difference between returned record sets Query Set Operators

85 85 Selecting Records For Update In a normal SELECT command, the retrieved records are not locked, and are available for other users to view, updated, and delete Sometimes, you need to select records, and then immediately update them based on the retrieved values Airline seat reservations Inventory items for sale

86 86 Selecting Records For Update Syntax: SELECT column1, column2, … FROM table1, table2, … WHERE search and join conditions FOR UPDATE OF column1, column2, … NOWAIT;

87 87 Selecting Records For Update All retrieved records are locked until you issue a COMMIT command Fields listed in FOR UPDATE clause are for documentation purposes only NOWAIT clause is optional Makes it so when another user tries to retrieved locked record, their system doesn’t just “hang”

88 88 Logical table based on a query Does not physically exist in the database Presents data in a different format from underlying tables Uses: Security Simplifying complex queries Database Views

89 89 Creating a view: CREATE VIEW view_name AS SQL_command; Views can be queried just like tables: SELECT * FROM view_name; Database Views

90 90 Simple Views Based on SQL query that retrieves data from only one table View can support all table DML operations: INSERT UPDATE DELETE

91 91 Complex Views Based on query that retrieves data from multiple tables Can only be used to support SELECT operations No DML operations supported

92 92 Indexes Index: Separate table is maintained that shows index keys and physical locations of corresponding records In Oracle, ROWID is translated to physical location of row on disk Improves response time of searches and joins SLNameROWID Brown13387289 Jones13879872 Smith58925789 Helgeson29875018

93 93 Using Indexes Create table index AFTER table is populated with data Indexes make INSERT, UPDATE, and DELETE operations slower because index must also be maintained

94 94 Indexing Strategies A table can have indexes on multiple fields Create indexes based on fields used for search or join operations Typically, indexes only speed retrievals when <15% of the table records are involved Each additional index adds processing overhead for INSERT, UPDATE, and DELETE operations In Oracle, primary keys are automatically indexed

95 95 Creating Indexes Syntax: CREATE INDEX index_name ON tablename(index_field);

96 96 Synonyms Alternate name for a table Allows you to not have to preface table with owner’s username when you are querying a table that belongs to another user

97 97 Public Synonyms Can only be created by a DBA Syntax: CREATE PUBLIC SYNONYM synonym_name FOR owner_name.tablename; All users with privileges to use table can then use synonym instead of owner_name.tablename

98 98 Private Synonyms You can create private synonyms for any tables that you have privileges to use Only you can use the synonym Syntax: CREATE SYNONYM synonym_name FOR table_name.table_name;


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