create barcode using vb.net DATA DEFINITION, PART I in Java

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DATA DEFINITION, PART I
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Listing 3-12. Using the NLS_SESSION_PARAMETERS View select * from nls_session_parameters; PARAMETER ----------------------NLS_LANGUAGE NLS_TERRITORY NLS_CURRENCY NLS_ISO_CURRENCY NLS_NUMERIC_CHARACTERS NLS_CALENDAR NLS_DATE_FORMAT NLS_DATE_LANGUAGE NLS_SORT NLS_TIME_FORMAT NLS_TIMESTAMP_FORMAT NLS_TIME_TZ_FORMAT NLS_TIMESTAMP_TZ_FORMAT NLS_DUAL_CURRENCY NLS_COMP NLS_LENGTH_SEMANTICS NLS_NCHAR_CONV_EXCP VALUE ---------------------AMERICAN AMERICA $ AMERICA ., GREGORIAN DD-MON-YYYY AMERICAN BINARY HH.MI.SSXFF AM DD-MON-RR HH.MI.SSXFF AM HH.MI.SSXFF AM TZR DD-MON-RR HH.MI.SSXFF AM TZR $ BINARY BYTE FALSE
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The NLS features in Oracle are documented in great detail in the Globalization Support Guide in the Oracle documentation set. Table 3-5 lists a selection of useful Oracle data dictionary tables. Table 3-5. Some Useful Oracle Data Dictionary Views
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DICTIONARY DICT_COLUMNS ALL_USERS ALL_INDEXES
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Description
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Description of the data dictionary itself Data dictionary column descriptions Information about all database users All indexes All sequences All objects All synonyms All tables
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ALL_SEQUENCES1 ALL_OBJECTS1 ALL_SYNONYMS1 ALL_TABLES
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DATA DEFINITION, PART I
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ALL_VIEWS1 USER_INDEXES2 USER_SEQUENCES2 USER_OBJECTS
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All views Indexes Sequences Objects Synonyms Tables
USER_SYNONYMS2 USER_TABLES
USER_TAB_COLUMNS USER_VIEWS2 USER_RECYCLEBIN CAT COLS DICT DUAL IND OBJ SYN TABS
Columns Views Dropped objects Synonym for USER_CATALOG Synonym for USER_TAB_COLUMNS Synonym for DICTIONARY Dummy table, with one row and one column Synonym for USER_INDEXES Synonym for USER_OBJECTS Synonym for USER_SYNONYMS Synonym for USER_TABLES
Accessible to the user Owned by the user
Appendix A provides a more complete description of the data dictionary views, and Oracle Database Reference provides all the details you need about the Oracle data dictionary.
Retrieval: The Basics
In this chapter, you will start to access the seven case tables with SQL. To be more precise, you will learn how to retrieve data from your database. For data retrieval, the SQL language offers the SELECT command. SELECT commands are commonly referred to as queries. The SELECT command has six main clauses. Three of them SELECT, WHERE, and ORDER BY are discussed in this chapter. Introduction of the remaining three clauses FROM, GROUP BY, and HAVING is postponed until 8. You can write queries as independent SQL statements, but queries can also occur inside other SQL commands. These are called subqueries. This chapter introduces subqueries, and then in 9, we will revisit subqueries to discuss some of their more advanced features. Null values and their associated three-valued logic SQL conditions have the three possible outcomes of TRUE, FALSE, or UNKNOWN are also covered in this chapter. A thorough understanding of null values and three-valued logic is critical for anyone using the SQL language. Finally, this chapter presents the truth tables of the AND, OR, and NOT operators, showing how these operators handle three-valued logic.
4.1 Overview of the SELECT Command
We start this chapter with a short recap of what we already discussed in previous chapters. The six main clauses of the SELECT command are shown in Figure 4-1.
Figure 4-1. The six main clauses of the SELECT command
RETRIEVAL: THE BASICS
Figure 4-1 is identical to Figure 2-1, and it illustrates the following main syntax rules of the SELECT statement: There is a predefined mandatory order of these six clauses. The SELECT and FROM clauses are mandatory. WHERE, GROUP BY, HAVING, and ORDER BY are optional clauses.
Table 4-1 is identical to Table 2-1, and it shows high-level descriptions of the main SELECT command clauses. Table 4-1. The Six Main Clauses of the SELECT Command
Component
FROM WHERE GROUP BY HAVING SELECT ORDER BY
Description
Which table(s) is (are) needed for retrieval What is the condition to filter the rows How should the rows be grouped/aggregated What is the condition to filter the aggregated groups Which columns do you want to see in the result In which order do you want to see the resulting rows
According to the ANSI/ISO SQL standard, these six clauses must be processed in the following order: FROM, WHERE, GROUP BY, HAVING, SELECT, ORDER BY. Note that this is not the order in which you must specify them in your queries. As mentioned in the introduction to this chapter, SQL retrieval statements (SELECT commands) are commonly referred to as queries. In this chapter, we will focus on queries using three SELECT command clauses: SELECT: With the SELECT clause of the SELECT command, you specify the columns that you want displayed in the query result and, optionally, which column headings you prefer to see above the result table. This clause implements the relational projection operator, explained in 1. WHERE: The WHERE clause allows you to formulate conditions that must be true in order for a row to be retrieved. In other words, this clause allows you to filter rows from the base tables; as such, it implements the relational restriction operator. You can use various operators in your WHERE clause conditions such as BETWEEN, LIKE, IN, CASE, NOT, AND, and OR and make them as complicated as you like. ORDER BY: With the ORDER BY clause, you specify the order in which you want to see the rows in the result of your queries.
The FROM clause allows you to specify which tables you want to access. In this chapter, we will work with queries that access only a single table, so the FROM clause in the examples in this chapter simply
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