Banner SQL 201. Georgia Summit Thursday, September 19th 4:10pm - 5:00pm Estes B

Transcription

1 Banner SQL 201 Georgia Summit 2013 Thursday, September 19th 4:10pm - 5:00pm Estes B Zachary Hayes Associate Registrar Georgia Institute of Technology

2 Introduction Who is this guy? 10 years within USG Self-taught SQL and Banner Where does he work? Banner 8.5 / Oracle 11g Enterprise Information Systems Technical Analysts, Developers, DBAs Office of the Registrar Business/Information Analysts, Assistant Registrar for Technology 2

3 Disclaimer I am not an expert There may be better ways to do this Your user access may not permit table queries Your IT staff may not want to help you For ages 13+ contains small parts not suitable for children 3

4 Agenda Banner SQL 101 refresher Banner Oracle SQL Null Value Decode Left Join Exist Count / Group By / Having Questions 4

5 101 Data Dictionary What are Banner tables and columns named? Banner Dynamic Help Query Within INB, click a field you want to get information on Select Help > Dynamic Help Query Popup will usually show you the column name from the database When in doubt, ask your technical staff 5

6 101 Data Dictionary 6

7 101 Data Dictionary 6

8 101 Data Dictionary Oracle Data Dictionary Read what Ellucian may have included in the Oracle Data Dictionary ALL_TAB_COMMENTS ALL_COL_COMMENTS Will need to query via a SQL tool (SQL*Plus, SQL Developer, Toad, etc) Will need access to query the database directly, and may need additional access to these views When in doubt, ask your technical staff 7

9 101 Data Dictionary ALL_COL_COMMENTS 8

10 101 PopSel Limitations PopSels are handy, but what if you need an outer join you need more data than just a student ID you need more than one subquery you need data outside of Banner s standard schema (ex: DegreeWorks database) Roll up your sleeves, make friends with your IT staff, and query the tables directly! If you have mastered SQL within PopSels, you already have a solid foundation to work from 9

11 101 Banner Oracle SQL one table, wild card value 10

12 101 Banner Oracle SQL two tables, date value 11

13 101 Banner Oracle SQL two tables, parameters, subquery 12

14 Banner Oracle SQL NVL (Null Value) Something that is null does not exist If something doesn t exist, you can t: display anything for it do any calculations against it NVL temporarily puts a value in when it is null This does not alter what is stored in the database 13

15 NVL 14

16 NVL 14

17 NVL Syntax: NVL(field, replace) For humans: If <field> is null, then temporarily insert the <replace> value If <field> is not null, then keep <field> value <replace> can be another field or your own value 15

18 NVL Example 1 (before) 16

19 NVL Example 1 (before) 16

20 NVL Example 1 (after) 17

21 NVL Example 1 (after) 17

22 NVL Example 1 (before and after) 18

23 NVL Example 1 (before and after) 18

24 NVL Example 2 19

25 NVL Example 2 19

26 Banner Oracle SQL Decode Similar to an IF - THEN - ELSE statement If you have values in the database that you want to temporarily massage/tweak for your query, decode will do the trick Great tool to make results easier for the end user as to compared to what may be under the hood of the database This does not alter what is stored in the database 20

27 Decode 21

28 Decode 21

29 Decode Syntax: DECODE(field, search1, replace1, search2, replace2,..., default) For humans: If <field> matches <search1>, then temporarily replace the value with <replace1> If <field> matches <search2>, then temporarily replace the value with <replace2> If <field> doesn t match any <search> value, then temporarily replace the value with <default> 22

30 Decode For humans (cont.): <search>, <replace>, and <default> can be another field or your own value <default> is optional If the <field> doesn t match any <search> values and there is no <default> the result will be null 23

31 Decode Example 1 24

32 Decode Example 1 24

33 Decode Example 1 24

34 FERPA 25

35 FERPA FERPA 25

36 Decode Example 2 26

37 Decode Example 2 26

38 Decode Example 2 26

39 101 Banner Oracle SQL Simple Join (Inner Join) Joins two tables and shows results from both so long as the join condition between the two is met A B 27

40 Banner Oracle SQL Left Join (Left Outer Join) Joins two tables and shows all results from the left and only those from the right where the join condition between the two is met A B 28

41 Left Join 29

42 Left Join 29

43 Left Join Example 1 30

44 Left Join Example 1 30

45 Left Join Example 1 30

46 Left Join Example 1 30

47 Left Join Example 2 31

48 Left Join Example 2 31

49 Left Join Example 2 31

50 Left Join Example 2 31

51 Banner Oracle SQL Exists You might find a time where you don t want to join two tables (which can limit your results) but instead you just need to know if a condition exists in another table Also have the option to determine if a condition does not exist Uses a standard subquery, but it only cares if at least one row is produced 32

52 Exists Zach is staying at the Double Tree Hotel. What other hotel brands are related to this hotel? 33

53 Exists Zach is staying at the Double Tree Hotel. What other hotel brands are related to this hotel? 33

54 Exists Syntax: EXISTS(select T from... where...) For humans: So long as the subquery returns one row, the condition is met and the main query will continue NOT EXISTS will have the inverse result 34

55 Exists Example 1 (before) 35

56 Exists Example 1 (before) 35

57 Exists Example 1 (after) 36

58 Exists Example 1 (after) 36

59 Exists Example 1 (before and after) 37

60 Exists Example 1 (before and after) 37

61 Exists Example 2 38

62 Exists Example 2 38

63 Banner Oracle SQL Count / Group / Having You may not always want raw record data, but instead aggregate data that summarizes the data In order to aggregate data, you have to determine how the data should be grouped Once the data is grouped and aggregated, you might need to filter results to those that have met your condition 39

64 Count / Group / Having 1) How many kids by shirt color? 2) How many kids by sex? 3) How many kids by sex having >5? 40

65 Count / Group / Having 1) How many kids by shirt color? B = 7 ; G = 7 2) How many kids by sex? 3) How many kids by sex having >5? 40

66 Count / Group / Having 1) How many kids by shirt color? 2) How many kids by sex? B = 7 ; G = 7 F = 2 ; M = 12 3) How many kids by sex having >5? 40

67 Count / Group / Having 1) How many kids by shirt color? 2) How many kids by sex? 3) How many kids by sex having >5? B = 7 ; G = 7 F = 2 ; M = 12 M = 12 40

68 Count / Group / Having Syntax: SELECT <field1>, count<values> FROM <table> WHERE... GROUP BY <field1> HAVING count<values> <filter> For humans: Count <values> from <table> grouped by <field1> that have meet <filter> condition All SELECT fields must be in the GROUP BY HAVING is optional 41

69 Count / Group / Having Example 1 (no Having) 42

70 Count / Group / Having Example 1 (no Having) 42

71 Count / Group / Having Example 1 (Having) 43

72 Count / Group / Having Example 1 (Having) 43

73 Count / Group / Having Example 2 (no Having) 44

74 Count / Group / Having Example 2 (no Having) 44

75 Count / Group / Having Example 2 (Having) 45

76 Count / Group / Having Example 2 (Having) 45

77 NVL, Decode, Left Join, Exists, Count/Group/Having 46

78 NVL, Decode, Left Join, Exists, Count/Group/Having 46

79 Banner SQL 201 Questions? Zachary Hayes 47