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+ | == ORACLE DATABASE HACKBUGZ == | ||
+ | |||
+ | === CREATE USER === | ||
+ | '''$ sqlplus''' | ||
+ | or | ||
+ | '''$ connect /as sysdba''' | ||
+ | '''sp> create user [NAME]identified by [PASSWD];''' | ||
+ | '''sp> grant dba to admin;''' | ||
+ | |||
+ | === GRANT ALL DICTIONARY TO USER === | ||
+ | '''sp> grant select any dictionary to [NAME];''' | ||
+ | |||
+ | === CREATE GLOBAL TEMPORARY TABLE === | ||
+ | CREATE GLOBAL TEMPORARY TABLE my_temp_table ( | ||
+ | id NUMBER, | ||
+ | description VARCHAR2(20) | ||
+ | ) | ||
+ | ON COMMIT PRESERVE ROWS; | ||
+ | |||
+ | -- Insert and commit, then check contents of GTT. | ||
+ | INSERT INTO my_temp_table VALUES (1, 'ONE'); | ||
+ | COMMIT; | ||
+ | |||
+ | SELECT COUNT(*) FROM my_temp_table; | ||
+ | |||
=== PL/SQL === | === PL/SQL === | ||
PL/SQL stands for “Procedural Language extensions to the Structured Query Language”. | PL/SQL stands for “Procedural Language extensions to the Structured Query Language”. | ||
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Fetching | Fetching | ||
Executing | Executing | ||
− | Bei der Ausführung optimiert der SQL-Optimierer | + | Bei der Ausführung optimiert der SQL-Optimierer |
+ | |||
+ | === Database-Management-Tools === | ||
+ | - '''TOAD'''(Tools for Oracle application Development) | ||
+ | - '''Oracle SQL Developer''' | ||
+ | - '''SQLplus'''(command line tool) | ||
+ | |||
+ | === Oracle SQL Developer === | ||
+ | '''Oracle SQL DEVELOPER''' | ||
+ | '''ANSICHT/DATA MODELER/BROWSER''' | ||
+ | Fix network adapter connection error: | ||
+ | Check File: '''listener.ora''' | ||
+ | or | ||
+ | Shell: | ||
+ | '''$ lsnrctl status''' | ||
+ | '''$ lsnrctl start''' | ||
+ | '''$ services.msc''' | ||
+ | |||
+ | === Schema vs Tablespace === | ||
+ | A schema is a namespace - a logical thing. It is used to organize the names of database objects. It has nothing to do with the way the data is stored. | ||
+ | |||
+ | A tablespace is a physical thing. It's a container for data and has nothing to do with the logical organization of the database objects. | ||
+ | [https://stackoverflow.com/questions/35120219/a-database-schema-vs-a-database-tablespace A database schema vs a database tablespace?] | ||
+ | |||
+ | === SQL | DDL, DQL, DML, DCL and TCL Commands === | ||
+ | DDL – Data Definition Language | ||
+ | DQl – Data Query Language | ||
+ | DML – Data Manipulation Language | ||
+ | DCL – Data Control Language | ||
+ | |||
+ | '''DDL (Data Definition Language):''' | ||
+ | - CREATE: This command is used to create the database or its objects (like table, index, function, views, store procedure, and triggers). | ||
+ | - Table begin with a letter | ||
+ | - 1-30 character long | ||
+ | - A-Z,0-9,-,$,# | ||
+ | - no duplicate names | ||
+ | - no reserver words(select,from,etc.) | ||
+ | - DROP: This command is used to delete objects from the database. | ||
+ | - ALTER: This is used to alter the structure of the database. | ||
+ | - TRUNCATE: This is used to remove all records from a table, including all spaces allocated for the records are removed. | ||
+ | - COMMENT: This is used to add comments to the data dictionary. | ||
+ | - RENAME: This is used to rename an object existing in the database. | ||
+ | |||
+ | '''DQL (Data Query Language):''' | ||
+ | - SELECT: It is used to retrieve data from the database. | ||
+ | |||
+ | '''DML(Data Manipulation Language): ''' | ||
+ | - INSERT : It is used to insert data into a table. | ||
+ | - UPDATE: It is used to update existing data within a table. | ||
+ | - DELETE : It is used to delete records from a database table. | ||
+ | - LOCK: Table control concurrency. | ||
+ | - CALL: Call a PL/SQL or JAVA subprogram. | ||
+ | - EXPLAIN PLAN: It describes the access path to data. | ||
+ | |||
+ | '''SELECT''' | ||
+ | '''FROM''' | ||
+ | '''JOIN''' | ||
+ | '''WHERE''' | ||
+ | '''GROUP BY''' | ||
+ | '''HAVING''' | ||
+ | '''ORDER BY''' | ||
+ | |||
+ | '''DCL (Data Control Language): ''' | ||
+ | - GRANT: This command gives users access privileges to the database. | ||
+ | - REVOKE: This command withdraws the user’s access privileges given by using the GRANT command. | ||
+ | |||
+ | '''TCL – Transaction Control Language ''' | ||
+ | - COMMIT: Commits a Transaction. | ||
+ | - ROLLBACK: Rollbacks a transaction in case of any error occurs. | ||
+ | - SAVEPOINT:Sets a savepoint within a transaction. | ||
+ | - SET TRANSACTION: Specify characteristics for the transaction. | ||
+ | |||
+ | ==== Character functions ==== | ||
+ | lower | converts | ||
+ | upper | converts | ||
+ | length | returns | ||
+ | substring | select characters from string to display | ||
+ | |||
+ | concat | join 2 strings with || | ||
+ | initcap | first letter to uppercase | ||
+ | trim | trims text from specified x | ||
+ | ltrim | trims text from left | ||
+ | rtrim | trims text from right | ||
+ | replace | replace and remove strings | ||
+ | translate | replace set of characters | ||
+ | |||
+ | ==== convert functions ==== | ||
+ | to_char = numeric and date to string | ||
+ | to_date = numeric & string to date | ||
+ | to_number = value to numeric | ||
+ | |||
+ | ==== date functions ==== | ||
+ | add_months | add and return | ||
+ | months_between | return between x and y | ||
+ | next_day | next day of day | ||
+ | last_day | days left in month from date | ||
+ | |||
+ | ==== numeric functions ==== | ||
+ | round | | ||
+ | trunc | | ||
+ | floor | | ||
+ | ceil | | ||
+ | mod | | ||
+ | |||
+ | === Oracle data constrains === | ||
+ | NULL | not null | ||
+ | UNIQUE | each row unique | ||
+ | PRIMARY KEY | references pk in other table | ||
+ | FOREIGN KEY | references fk in other table | ||
+ | CHECK | meets condition | ||
+ | DEFAULT | | ||
+ | |||
+ | === ALIAS === | ||
+ | shorter query | ||
+ | more than one table | ||
+ | table or column name too long or not reader friendly | ||
+ | two or more columns combined together | ||
+ | when functions used in query | ||
+ | |||
+ | === Limiting and sorting data === | ||
+ | retrieve a only a part of a big data and sort the result | ||
+ | use select clause and operators | ||
+ | |||
+ | === sub query === | ||
+ | |||
+ | === from clause === | ||
+ | |||
+ | === where === | ||
+ | |||
+ | === order by === | ||
+ | filter or sort data | ||
+ | required by some analytic functions | ||
+ | '''function () over ( order by column_name)''' | ||
+ | |||
+ | === group by having === | ||
+ | |||
+ | === like & wildcards === | ||
+ | |||
+ | === JOIN === | ||
+ | equi join | ||
+ | non equi join | ||
+ | catesian join | ||
+ | outer join | ||
+ | self join | ||
+ | |||
+ | join | ||
+ | ON | ||
+ | USING(mergeinto a single col) | ||
+ | |||
+ | === aggregate function === | ||
+ | avg | ||
+ | count | ||
+ | max | ||
+ | min | ||
+ | sum | ||
+ | |||
+ | === set_operator === | ||
+ | '''union all''' | ||
+ | returns result from both queries after eliminating doubles | ||
+ | '''intersect set''' | ||
+ | rows that are common to both queries | ||
+ | '''minnus set''' | ||
+ | rows in the first query that are not in the second query | ||
+ | |||
+ | '''set operators summary''' | ||
+ | use order by only at the end of statement | ||
+ | |||
+ | === analytic functions === | ||
+ | |||
+ | === SQL logical operators === | ||
+ | - and | ||
+ | - or | ||
+ | - in | ||
+ | - between | ||
+ | - like | ||
+ | - not | ||
+ | - all | ||
+ | - any | ||
+ | - is null | ||
+ | |||
+ | === VIEW and DUAL TABLE === | ||
+ | '''VIEW''' | ||
+ | SQL SELECT QUERY, stored in db, treated like a table but no data stored in. | ||
+ | |||
+ | '''DUAL TABLE''' | ||
+ | A special dummy one-row, one-column table, present by default in all oracle db installations | ||
+ | varchar2(1), column value is x | ||
+ | |||
+ | === Describe === | ||
+ | Description relating to the db obj like tables and view | ||
+ | |||
+ | === Synonyms === | ||
+ | alias for an obj in the db | ||
+ | can be used to hide the identity and location | ||
+ | |||
+ | '''PRIVATE SYNONYM''' | ||
+ | |||
+ | '''PUBLIC SYNONYM''' | ||
+ | |||
+ | === SQL INDEXES === | ||
+ | Used to speed up the performance of sql-querys or statements | ||
+ | Pointer to data | ||
+ | |||
+ | ==== Type of Indexes ==== | ||
+ | - B-Tree | ||
+ | - Bitmap | ||
+ | Can be simple or composite | ||
+ | - Function-Based | ||
+ | If we use a function on a column which is indexed, then such an index will not be used | ||
+ | Create an index on functionor expression | ||
+ | - Index - Organized Tables | ||
+ | Für kleine Datenmengen | ||
+ | B-Tree-Format | ||
+ | - Cluster Index | ||
+ | group of multi Tables, stores data in the same block | ||
+ | - Composite Index | ||
+ | |||
+ | B-Tree | ||
+ | - Branch Block | ||
+ | - Leaf Block | ||
+ | |||
+ | Fragementation of Index | ||
+ | Rebuild the Indexes | ||
+ | |||
+ | Create index [NAME] on [TABLE](COL) | ||
+ | Create index [NAME] on [TABLE](COL1,COL2) | ||
+ | |||
+ | === ERD - Entity Relationship Diagram === | ||
+ | |||
+ | Cardinality | ||
+ | |||
+ | Crow's foot notation | ||
+ | |||
=== Pluggable Database === | === Pluggable Database === | ||
Pluggable Database = Multitenant Architecture | Pluggable Database = Multitenant Architecture | ||
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- Procedures | - Procedures | ||
- Functions | - Functions | ||
+ | |||
+ | === PGA | PROGRAM GLOBAL AREA === | ||
=== PL/SQL Outputs === | === PL/SQL Outputs === | ||
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address varchar2(100); | address varchar2(100); | ||
− | + | DECLARE | |
− | |||
− | |||
− | DECLARE | ||
V_TEXT_1 VARCHAR2(50) := 'STRING'; | V_TEXT_1 VARCHAR2(50) := 'STRING'; | ||
V_TEXT_2 VARCHAR2(50) NOT NULL DEFAULT 'DEFAULT'; | V_TEXT_2 VARCHAR2(50) NOT NULL DEFAULT 'DEFAULT'; | ||
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V_TIMESTAMP_2 TIMESTAMP(3) WITH TIME ZONE NOT NULL := SYSTIMESTAMP; | V_TIMESTAMP_2 TIMESTAMP(3) WITH TIME ZONE NOT NULL := SYSTIMESTAMP; | ||
− | + | === PL/SQL DELIMETER | COMMENTS === | |
− | + | -- CODE -- | |
− | + | /* CODE */ | |
− | + | ||
− | + | === PL/SQL VARIABLE === | |
− | + | - Declaring | |
− | + | - Initializing | |
− | + | - Attribute | |
− | + | - Scope | |
− | + | - Bind | |
+ | |||
+ | ==== PL/SQL BIND VARIABLE ==== | ||
+ | SQL-Bindings können helfen, die Performance von dynamischem SQL ganz erheblich zu verbessern. | ||
+ | |||
+ | Die meisten Datenbankanbieter verfügen heutzutage über einen Ausführungsplan-Cache (Oracle nennt ihn Cursor-Cache), | ||
+ | in dem zuvor analysierte SQL-Anweisungen gespeichert sind und deren Ausführungsplan (und -pläne) zur Wiederverwendung zwischengespeichert werden. | ||
+ | Dies ist der Hauptgrund, warum Bind-Variablen so wichtig sind | ||
+ | |||
+ | === PL/SQL CONTROL STRUCTURES === | ||
+ | - IF | ||
+ | - CASE EXPRESSIONS | ||
+ | - LOOPS | ||
+ | - Basic LOOP | ||
+ | - WHILE LOOP | ||
+ | - FOR LOOP | ||
+ | - NESTED LOOP | ||
+ | - LOOP LABELING | ||
+ | - CONTINUE STATEMENT | ||
+ | - GOTO | ||
+ | |||
+ | ==== IF | IF-ELSE | IF-ELSE IF ==== | ||
+ | The IF statement allows you to either execute or skip a sequence of statements, depending on a condition. | ||
+ | The IF statement has the three forms: | ||
+ | |||
+ | – IF THEN | ||
+ | – IF THEN ELSE | ||
+ | – IF THEN ELSIF | ||
+ | |||
+ | '''IF condition THEN''' | ||
+ | '''statements;''' | ||
+ | '''END IF;''' | ||
+ | |||
+ | ==== LOOP ==== | ||
+ | The CASE statement chooses one sequence of statements to execute out of many possible sequences. | ||
+ | The CASE statement has two types: simple CASE statement and searched CASE statement. | ||
+ | Both types of the CASE statements support an optional ELSE clause. | ||
+ | |||
+ | '''Simple CASE statement''' | ||
+ | '''Searched CASE statement''' | ||
+ | |||
+ | This structure is the most basic of all the loop constructs including FOR LOOP and WHILE LOOP. | ||
+ | This basic LOOP statement consists of a LOOP keyword, a body of executable code, and the END LOOP keywords. | ||
+ | |||
+ | The LOOP statement executes the statements in its body and returns control to the top of the loop. | ||
+ | Typically, the body of the loop contains at least one EXIT or EXIT WHEN statement for terminating the loop. Otherwise, the loop becomes an infinite loop. | ||
+ | |||
+ | The LOOP statement can have an optional label that appears at the beginning and the end of the statement. | ||
+ | |||
+ | '''<<label>> LOOP ''' | ||
+ | ''' statements; ''' | ||
+ | '''END LOOP loop_label; ''' | ||
+ | |||
+ | ''' LOOP ''' | ||
+ | ''' EXIT; ''' | ||
+ | ''' END LOOP; ''' | ||
+ | |||
+ | ''' LOOP ''' | ||
+ | ''' IF condition THEN ''' | ||
+ | ''' EXIT; ''' | ||
+ | ''' END IF; ''' | ||
+ | ''' END LOOP; ''' | ||
+ | |||
+ | '''EXIT WHEN statement''' | ||
+ | The EXIT WHEN statement has the following syntax: | ||
+ | '''EXIT WHEN condition;''' | ||
+ | |||
+ | '''Nested loops''' | ||
+ | It is possible to nest a LOOP statement within another LOOP statement as shown in the following example: | ||
+ | |||
+ | === USING SQL INSIDE PL/SQL === | ||
+ | '''SELECT''' columns|expressions | ||
+ | '''INTO''' variables|records | ||
+ | '''FROM''' table|tables | ||
+ | ['''WHERE''' condition]; | ||
+ | |||
+ | Gleiche Reihenfolge|Typen der Variablen im STATEMENT | ||
+ | |||
+ | [https://docs.oracle.com/en/database/oracle/oracle-database/21/lnpls/static-sql.html#GUID-A2E4086F-94DC-4CC7-9E4B-30285BEC3313 PL/SQL Static SQL ] | ||
+ | |||
+ | ==== DML OPERATIONS ==== | ||
+ | A Transaction start's with a DML and end with a commit,rollback or system error | ||
+ | |||
+ | - INSERT | ||
+ | - UPDATE | ||
+ | - DELETE | ||
+ | - MERGE | ||
+ | |||
+ | '''CREATE TABLE testcopy as''' | ||
+ | ''' select * from test;''' | ||
+ | |||
+ | There is no create or replace table in Oracle | ||
+ | |||
+ | '''DROP TABLE test;''' | ||
+ | '''CREATE TABLE test ...;''' | ||
+ | |||
+ | ==== SEQUENCES ==== | ||
+ | |||
+ | Use of '''CURRVAL''' and '''NEXTVAL''' | ||
+ | A sequence is a schema object that can generate unique sequential values. | ||
+ | These values are often used for primary and unique keys. | ||
+ | You can refer to sequence values in SQL statements with these pseudocolumns: | ||
+ | |||
+ | '''CURRVAL: Returns the current value of a sequence''' | ||
+ | '''NEXTVAL: Increments the sequence and returns the next value''' | ||
+ | In same statement increments only 1 time | ||
+ | select 1.NEXTVAL 1.NEXTVAL 1.NEXTVAL .... | ||
+ | |||
+ | You must qualify CURRVAL and NEXTVAL with the name of the sequence: | ||
+ | '''SELECT sequence_name.nextval|currval INTO variable|column''' | ||
+ | '''FROM table_name|dual;''' | ||
+ | |||
+ | '''Variable|column :=sequence_name.nextval|currval''' | ||
+ | |||
+ | [https://stackoverflow.com/questions/51470/how-do-i-reset-a-sequence-in-oracle How do I reset a sequence in Oracle?] | ||
+ | [https://asktom.oracle.com/pls/apex/f?p=100:11:0::::P11_QUESTION_ID:1119633817597 How to reset sequences?] | ||
+ | [https://asktom.oracle.com/pls/apex/f?p=100:11:0::::P11_QUESTION_ID:951269671592 Dynamic SQL to reset sequence value] | ||
+ | |||
+ | ==== COMPOSITE DATA TYPES ==== | ||
+ | |||
+ | ===== Records ===== | ||
+ | Ein Datensatz mit Einem oder mehrere Werte | ||
+ | Gleiche oder unterschiedliche Typen | ||
+ | Datensatz innerhalb eines Datensatzes | ||
+ | NULL by Default | ||
+ | |||
+ | 1. Weg | ||
+ | '''r_name TABLE_NAME%rowtype;''' | ||
+ | |||
+ | Vorteil: | ||
+ | - Dynamische Typen-Zuweisung aus Tabelle | ||
+ | - Durchführung einfacher DML Operationen | ||
+ | |||
+ | 2. Weg | ||
+ | - Einzelne Spalten Auswahl | ||
+ | - Eigene Typen definition | ||
+ | |||
+ | '''type NAME is record ( NAME TYPE,''' | ||
+ | ''' NAME TYPE, ''' | ||
+ | ''' []);''' | ||
+ | |||
+ | Alle typen ausser ref-cursors | ||
+ | |||
+ | Einen Datensatz | ||
+ | |||
+ | ===== Collections ===== | ||
+ | List of the same type | ||
+ | Vorsicht vor Speicherfehler | ||
+ | |||
+ | 3 Types | ||
+ | |||
+ | - '''Nested tables''' | ||
+ | Keys only Numbers, begin fom 1 | ||
+ | No Max Values | ||
+ | |||
+ | - '''VARRAYs''' | ||
+ | Begrenzung der Grösse | ||
+ | Genau Angabe der Grösse | ||
+ | Objekt für Prozedur oder Funktion | ||
+ | Seltene Verwendung | ||
+ | Max 2 GB | ||
+ | Varray-Typ in der Datenbank | ||
+ | Can't go back | ||
+ | Bounded | ||
+ | Index start from 1 | ||
+ | one dimensional array | ||
+ | null by default | ||
+ | |||
+ | - '''Associative Arrays''' | ||
+ | Key can be strings | ||
+ | |||
+ | ==== CURSORS ==== | ||
+ | Bei normaler SQL-Abfrage, wird nur ein Teil der Ergebnismenge, Algorithemn, Ausführungspläne, etc. im KOntextbereich gespeichert. | ||
+ | |||
+ | Cursors are pointers to the Data, in Memory or Disc | ||
+ | |||
+ | ''2 Types of Cursors:'' | ||
+ | |||
+ | '''Implicit Cursor'''(Create and administration by Database) | ||
+ | Bei jedem SELECT wird ein Impliziter Cursor erstellt | ||
+ | |||
+ | '''Explicit Cursor''' | ||
+ | We can control cursors | ||
+ | Explicit cursors are created by the programmers | ||
+ | Collection vs cursor | ||
+ | You cannot go back in cursors | ||
+ | Abruf- und Speicheralgorithmus | ||
+ | Gleichzeitiges laden von Ergebnismengen in den Speicher | ||
+ | Operationen sind so viel schneller | ||
+ | |||
+ | Anordnung vom Server anhand der Ergebnismenge und der Speichersituation. | ||
+ | Ein Select aus dem Speicher ist schneller als aus der Datenbank | ||
+ | |||
+ | Usage: | ||
+ | - Declare | ||
+ | - Open | ||
+ | - Fetch | ||
+ | - Check | ||
+ | - Close | ||
+ | |||
+ | loop | ||
+ | '''exit when NAME%notfound;''' | ||
+ | |||
+ | Cursor Parameters | ||
+ | |||
+ | Cursor Attributes | ||
+ | - %FOUND | ||
+ | - %NOTFOUND | ||
+ | - %ISOPEN | ||
+ | - %ROWCOUNT | ||
+ | |||
+ | FOR UPDATE CLAUSE | ||
+ | - for update(locks the selected rows) | ||
+ | - nowait | ||
+ | - wait(default) | ||
+ | - for update of(locks only selected tables) | ||
+ | |||
+ | ==== EXCEPTIONS ==== | ||
+ | - ORA CODE | ||
+ | ORA-01403: no data found | ||
+ | |||
+ | Over 10.000 nonamed exceptions | ||
+ | Cause | ||
+ | Action | ||
+ | |||
+ | A block has 3 sections | ||
+ | - Declare | ||
+ | - Begin-End | ||
+ | - Exception | ||
+ | |||
+ | Implicit | ||
+ | Explicit | ||
+ | |||
+ | - Predefined Oracle Server Error | ||
+ | - Nonpredefined Oracle Server Error | ||
+ | - User-defined Errors | ||
+ | |||
+ | Select "Step Into" on first run, with anonymous blocks | ||
+ | Handle by 3 ways: | ||
+ | 1. Trap | ||
+ | 2. Propagate | ||
+ | 3. Trap & Propagate | ||
+ | |||
+ | '''SQLCODE & SQLERRM''' | ||
+ | |||
+ | ==== FUNCTIONS & PROCEDURES ==== | ||
+ | Stored in the Database with names | ||
+ | Compiled only once | ||
+ | Can be called by another block or application | ||
+ | Can return values | ||
+ | Can take parameters | ||
+ | |||
+ | [https://stackoverflow.com/questions/25419629/functions-vs-procedures-in-oracle Functions vs procedures in Oracle] | ||
+ | [https://stackoverflow.com/questions/771949/what-is-the-difference-between-function-and-procedure-in-pl-sql What is the difference between function and procedure in PL/SQL?] | ||
+ | [https://oracle-base.com/articles/8i/function-based-indexes Function-Based Indexes] | ||
+ | [https://docs.oracle.com/cd/A97630_01/server.920/a96533/autotrac.htm Using Autotrace in SQL*Plus] | ||
+ | [https://docs.oracle.com/cd/E18283_01/server.112/e16604/ch_eight.htm Tuning SQL*Plus] | ||
+ | |||
+ | ==== Packages ==== | ||
+ | Advantages of using packages | ||
+ | - Modularity | ||
+ | - Easy Maintenance | ||
+ | - Encapsulation & Security | ||
+ | - Performance | ||
+ | - Functionality | ||
+ | - Overloading | ||
+ | |||
+ | ==== Triggers ==== | ||
+ | - Security | ||
+ | - Auditing | ||
+ | - Data Integrity | ||
+ | - Table Logging | ||
+ | - Event Logging | ||
+ | - Derived Data | ||
+ | |||
+ | 3 types of Triggers | ||
+ | - DML Triggers | ||
+ | - Compound Triggers | ||
+ | - Non-DML Triggers | ||
+ | |||
+ | ==== Debugging ==== | ||
+ | dbms_debug_package | ||
+ | JDWP Java Debug Wire Protocol | ||
+ | |||
+ | Never debug on production | ||
+ | |||
+ | [https://www.oracle.com/webfolder/technetwork/tutorials/obe/db/apex/r51/testing_and_debugging_sqldeveloper/testing_and_debugging_sqldeveloper.html Testing and Debugging Procedures with SQL Developer] | ||
+ | |||
+ | '''CARE !! Execute the code on debug''' | ||
+ | Can't debug package | ||
+ | |||
+ | Connect with SYS or SYSTEM and GRAND SESSION and ANY PROCEDURE | ||
+ | |||
+ | On remote get port range from DBA | ||
+ | |||
+ | Breakpoints | ||
+ | - Run until Breakpointoccurs | ||
+ | - Step over | ||
+ | - Step into | ||
+ | |||
+ | ==== Dynamic SQL & PL/SQL IN PL/SQL ==== | ||
+ | Static SQL | ||
+ | - Written in advance | ||
+ | - parse at compile time | ||
− | + | SQL EXECUTION STAGES | |
− | + | - Parse | |
− | + | - Bind | |
− | + | - Execute | |
− | + | - Fetch | |
− | |||
− | |||
− | + | Advantages of Dynamic SQL | |
+ | - Constructed as string at runtime | ||
+ | - Bind variables can be used | ||
+ | - Allows us to use DDL, DCL or Session-Control statements in PL/SQL blocks | ||
+ | |||
+ | How to generate Dynamic SQL(2 Ways) | ||
+ | - Native Dynamic SQL Statements(more efficient and better performance as DBMS_SQL) | ||
+ | - DBMS_SQL Package | ||
− | + | Can also generate dynamic PL/SQL blocks | |
− | |||
− | |||
− | |||
− | + | ==== SQL Injection ==== | |
− | |||
− | + | ==== Oracle-Supplied Packages ==== | |
− | + | - StandardPackage | |
+ | - DBMS_OUTPUT Package(debug subprograms, read-write text data) | ||
+ | - UTL_FILE Package(performing file operations) | ||
+ | - UTL_MAIL Package(performs mailing operations) | ||
− | + | === PL/SQL CODE === | |
- Name conventions | - Name conventions | ||
+ | |||
+ | == SQL & PERFORMANCE TUNING == | ||
+ | - What is SQL Tuning and why we need it? | ||
+ | - Oracle Database Architecture | ||
+ | - SQL Tuning Basics | ||
+ | - Execution Plans in Details | ||
+ | - Join Operations | ||
+ | - Basic Tuning Techniques | ||
+ | - Advanced Indexing Techniques | ||
+ | - Hints | ||
+ | - Subjects | ||
+ | |||
+ | Change SQL-Structure or Database-Structure | ||
+ | Need to know of the Database Architecture in Basic | ||
+ | |||
+ | Tools | ||
+ | - SQL plus | ||
+ | - SQL Developer | ||
+ | - SQL Tuning Advisor | ||
+ | is internal diagnostic software that identifies problematic SQL statements and recommends how to improve statement performance. | ||
+ | - Automatic SQL Tuning Advisor | ||
+ | - SQL Access Advisor | ||
+ | is internal diagnostic software that recommends which materialized views, indexes, and materialized view logs to create, drop, or retain. | ||
+ | - Automatic Database Diagnostic Monitor (ADDM) | ||
+ | ADDM is self-diagnostic software built into Oracle Database. | ||
+ | - TOAD | ||
+ | - AWR | ||
+ | - TKPROF | ||
+ | |||
+ | - Determine the bottlenecks in low-performance Oracle databases | ||
+ | - Use Oracle database performance tuning tools, like: AWR, ASH, V$ views, SQL tracing, real-time monitoring, and EM Express | ||
+ | - Propose solutions to database performance issues | ||
+ | - Implement Oracle methodology in performance tuning | ||
+ | |||
+ | SQL Tuning is a continuous process | ||
+ | You need to tune your queris | ||
+ | - While creating | ||
+ | - After the creating | ||
+ | |||
+ | When to decide tuning? | ||
+ | - By checking the top consuming queries frequently | ||
+ | - After any complaints of bad performance | ||
+ | |||
+ | The reasons of performance loss | ||
+ | - Structural changes | ||
+ | - Changes on the data volume | ||
+ | - Application changes | ||
+ | - Aged statistics | ||
+ | - Database upgrades | ||
+ | - Database parameter changes | ||
+ | - Operating system changes | ||
+ | - hardware changes | ||
+ | |||
+ | === Blocks === | ||
+ | All data stored in blocks | ||
+ | smallest unit of database storage | ||
+ | 2KB-32KB(default 8KB) | ||
+ | stores row data or index data | ||
+ | |||
+ | Eigenschaften: | ||
+ | - Block Header | ||
+ | Block Type Information | ||
+ | Table Information | ||
+ | Row Directory | ||
+ | ROWID(Like pointer?) | ||
+ | - Rows | ||
+ | Blocks in Blocks | ||
+ | Jeder Block wird in eine bestimmte Stelle geschrieben | ||
+ | |||
+ | PCTFREE or PCTUSE parameters for the space size in blocks | ||
+ | |||
+ | Wenn nicht genug Platz, wird bei jedem update wahrscheinlich die Position geändert | ||
+ | - Verringerte Leistung | ||
+ | - IO-OPS werden langsamer | ||
+ | - Schlecht für das Tuning | ||
+ | - Verlangsamt die Indexes | ||
+ | |||
+ | Das lesen einer Zeile, von einer Tabelle aus einem Block, ist schneller als aus mehreren Blöcken | ||
+ | |||
+ | 1. Row Header | ||
+ | 2. Column Data | ||
+ | |||
+ | - Row Overhead | ||
+ | - Number of Columns | ||
+ | - Cluster Key ID(if clustered) | ||
+ | - ROWID of chained Row Pieces(if any) | ||
+ | - Column Length | ||
+ | - Column Value | ||
+ | |||
+ | Wenn die größe der Blocks in den Abfragen verringert wird, steigert man die Leistung | ||
+ | |||
+ | === PGA | PROGRAM/PROCESS/PRIVATE GLOBAL AREA === | ||
+ | Private for each user | ||
+ | |||
+ | ''4 Hauptspeicher Bereiche:'' | ||
+ | '''PGA''' | ||
+ | Session AREA | ||
+ | - Session info for each user | ||
+ | - Session Variables, login info, session status, etc. | ||
+ | Unnötige verbindungen vermeiden | ||
+ | |||
+ | '''PSA(Private SQL Area)''' | ||
+ | PERSISTENT AREA | ||
+ | - Jede Abfrage wird zu einem Cursor | ||
+ | - Verwendete Bindvariablen der Cursor werden hier gespeichert | ||
+ | RUNTIME AREA | ||
+ | - Execution state info | ||
+ | CURSOR AREA | ||
+ | - Information of cursors | ||
+ | |||
+ | '''SQL WORK AREA''' | ||
+ | SORT AREA | ||
+ | HASH JOIN AREA | ||
+ | BITMAP MERGE AREA | ||
+ | BITMAP CREATE AREA | ||
+ | |||
+ | Weniger Speicher verringert die LEistung | ||
+ | |||
+ | Speichergröße festlegen | ||
+ | - User | ||
+ | - Oracle selber | ||
+ | |||
+ | === SGA | SHARED/SYSTEM GLOBAL AREA === | ||
+ | Database buffer cache | ||
+ | Redo log buffer | ||
+ | Shared pool | ||
+ | - Data dictionary cache | ||
+ | - Result Cache | ||
+ | - other | ||
+ | Large pool | ||
+ | - I/O Buffer | ||
+ | - Free memory | ||
+ | - Response queue | ||
+ | - Request queue | ||
+ | JAVA pool | ||
+ | Streams pool | ||
+ | |||
+ | Context switching between pl/sql engine and sql engine | ||
+ | |||
+ | === SHARED POOL === | ||
+ | '''DATA DICTIONARY CACHE''' | ||
+ | - Stores the definitions of the database object and permissions | ||
+ | - check if Data from query exists | ||
+ | - check your privileges | ||
+ | |||
+ | '''RESULT CACHE''' | ||
+ | - stores result of common used queries | ||
+ | - stores result of functin | ||
+ | - Bei wiederholter Abfrage wird aus dem RESULT CACHE gelesen | ||
+ | - Speicher die Abfrageergebnisse | ||
+ | - Speicher die Funktionsergebnisse | ||
+ | |||
+ | Erhöht die Leistung | ||
+ | Wird von der Datenbank durchgeführt | ||
+ | User kann anweisen Result Cache anweisen daten zu speichern | ||
+ | |||
+ | '''Library Cache''' | ||
+ | - Stores the execution plans | ||
+ | - Stores procedures, packages control structures | ||
+ | Oracle erstellt Ausführungspläne | ||
+ | Wie die Daten aus der Disc oder dem Puffer gelesen werden | ||
+ | Die Erstellung eines Ausführungsplans ist ein kostspieliger Vorgang | ||
+ | Die Verwendung eines Ausführungsplans für ähnliche Abfragen kann sehr effizient sein | ||
+ | |||
+ | '''OTHER AREAS''' | ||
+ | |||
+ | === BUFFER CACHE === | ||
+ | '''Largest memory area of sga''' | ||
+ | Stores the copies of the blocks read from the disc | ||
+ | Available for all the users | ||
+ | First check Buffer than Disc, for the data | ||
+ | Check Disc only if blocks are missing | ||
+ | Much faster than disc | ||
+ | Size of the memory is endless | ||
+ | Maintained with a complex algorithm | ||
+ | Can't save all data in buffer cache | ||
+ | |||
+ | '''IN-MEMORY-DATABASES''' | ||
+ | Stores the most recently used & most toched ones | ||
+ | '''Database writer process''' handles the write operations to the disc | ||
+ | Writes not one by one, writes all changed blocks in one step | ||
+ | '''dirty blocks''' | ||
+ | Stores Tabledata and Indexdata | ||
+ | |||
+ | Performance for same | ||
+ | - queries | ||
+ | - tables | ||
+ | - indexes | ||
+ | |||
+ | === REDO LOG BUFFER === | ||
+ | '''-> Log Writer Process(LGWR)''' | ||
+ | '''-> Redo Log Entries''' | ||
+ | '''-> Redo Log Files''' | ||
+ | '''-> Server Process''' | ||
+ | |||
+ | Redo-Log-Files | ||
+ | Oracle Guarantees Not to Lose Data | ||
+ | - A Redo Log Entry is created when insert, update, delete, create, alter, drop occurs | ||
+ | Create Redo Log entries for all changes | ||
+ | Redo Log Entries has the changes made to the database | ||
+ | They are used for recovery operatins | ||
+ | You need privileges as a developer | ||
+ | Redo Log Entries are Stored in the redo log buffer | ||
+ | Starts every 3 sec and write to disc | ||
+ | '''Redo Log buffer is a circular buffer''' | ||
+ | '''Rollback is not done with redo log data''' | ||
+ | Redo do recovery on rollback redo log files are deleted | ||
+ | |||
+ | === UNDO === | ||
+ | What is rollback and recovery | ||
+ | The original data stored into the memory(undo tablespace) is called as undo data | ||
+ | buffer cache for the modifications | ||
+ | undo data is not modified because | ||
+ | - Used for rollback operations | ||
+ | - Used for providing read consistency | ||
+ | - Used for providing flashback feature | ||
+ | |||
+ | '''BLOCKS > EXTENTS > SEGMENTS > TABLESPACE''' | ||
+ | |||
+ | === DML PROCESS AND COMMIT === | ||
+ | Optimize Queries and DML's | ||
+ | - Checks the Shared SQL AREA for similar statements to use | ||
+ | - checks the data dictionary cache and checks if query is valid | ||
+ | - Checks buffer cache & undo segements for the related data | ||
+ | - Locks the related blocks | ||
+ | - Makes the changes to the blocks in the buffer cache | ||
+ | - the changes are applied to the redo log buffer before the buffer cache | ||
+ | - the server returns the feedback for the changes | ||
+ | |||
+ | When the user commits: | ||
+ | - System change number write to redo log files | ||
+ | - the server creates a commitrecord with scn | ||
+ | - the lgwr process write redo log entries in the redo log buffer to the redo log files | ||
+ | - the dbwn writes the dirty blocks to the disc & unlocks the blocks | ||
+ | - The server returns a feedback about the transaction completion | ||
+ | |||
+ | === Automatic memory management=== | ||
+ | The size of each memory ara is important for the execution performance of your queries | ||
+ | Wenn des Speicherbereich nicht ausreicht verringert das die performance | ||
+ | It can manage both SGA & PGA memory | ||
+ | In früheren versionen von oracle musste PGA manuell angegeben werden | ||
+ | '''it is recommended to leave automatic memory management enabled to increase the performance''' | ||
+ | will prefent out of memory errors | ||
+ | |||
+ | === Oracle database storage architecture=== | ||
+ | - '''Storage''' = Discs | ||
+ | - '''Control files''' storage the pyhsical structure information of the database(without no access to data) | ||
+ | - '''Data Files''' - Stores data(Tables, procedures, application, data | ||
+ | - '''Online Redo log files''': stores redo log entries | ||
+ | - '''archived redo log files''' - online redo log files are constantly mover ehre | ||
+ | - '''backup files''' - Stores the exact copy of the data files for disaster recovery | ||
+ | - '''Parameter files''' - Stores the configuration data of the database instance | ||
+ | - '''password file''' - Stores the passwords of the amin user(sysdba,sysoper,sysasm) | ||
+ | - alert log & trace files - stores log message and errors occured in the database | ||
+ | |||
+ | Some Informations are for the dev's and some for the oracle support service | ||
+ | |||
+ | === Logical and Physical Database structure === | ||
+ | - Blocks | smallest units of storage(2kb-32kb) | ||
+ | - Extents | combination of several consecutive data blocks. | ||
+ | used for stroing secific type of info | ||
+ | - segments | combination of several extents | ||
+ | used for storing some big data(tables,indexes, etc) | ||
+ | - data segments | ||
+ | - index segments | ||
+ | - undo segments | ||
+ | - temporary segments | ||
+ | - tablespaces | combination of many segments. used for grouping the related data in one container | ||
+ | - Temporary Tabelspace | ||
+ | Stores teh temporary data of a session | ||
+ | - Permanent Tablespace | ||
+ | Stores the persistent schema objects | ||
+ | |||
+ | '''DB must have min 2 Tablespaces''' | ||
+ | - System Tablespace | ||
+ | - SYSAUX Tablespace | ||
+ | DBA can create more Tablespaces | ||
+ | |||
+ | Check for Performance | ||
+ | Set Tablespaces Online and Offline Status | ||
+ | Can do backup or recovery of a give tablespace | ||
+ | Import or export Tablespaces | ||
+ | Create a transportable tablespace and move too other db | ||
+ | |||
+ | === Schema === | ||
+ | Ein Schema ist eine Sammlung von Datenbankobjekten die einem Datenbankbenutzer gehören | ||
+ | |||
+ | === PERFORMANCE TUNING BASICS === | ||
+ | SQL Tuning is a continuous process | ||
+ | You nedd to tune your queries | ||
+ | - on creating | ||
+ | - After the creation | ||
+ | - On new Indexes created | ||
+ | - Change of data volume | ||
+ | |||
+ | When to decide tuning? | ||
+ | - checking the top consuming queries frequently | ||
+ | - after any complaints of bad performance | ||
+ | |||
+ | two goals in tuning: | ||
+ | - reduce user response time, decreasing time between statement and response | ||
+ | - Improve throughput | ||
+ | |||
+ | Knowledge and skills: | ||
+ | - know your db architecture | ||
+ | - sql | ||
+ | - sql tuning tools | ||
+ | |||
+ | Check oracle database statistics | ||
+ | |||
+ | Betriebssystem | ||
+ | - Software | ||
+ | - Services | ||
+ | - Updates | ||
+ | - Datenbank, Oracle Datenbank Architektur | ||
+ | |||
+ | Häufige Ursache für Performance Verlust, bei Änderung von: | ||
+ | - Tabellen, DB Struktur | ||
+ | - Datenvolumen | ||
+ | - Applikationen | ||
+ | - Datenbank-Update | ||
+ | - Datenbank-Parameter | ||
+ | - Betriebssystem | ||
+ | - Betriebssystem-Update | ||
+ | - Betriebssystem-Konfiguration | ||
+ | - Hardware | ||
+ | |||
+ | Welche Oracle Packages für: | ||
+ | - Modularity | ||
+ | - Easy Maintenance | ||
+ | - Encapsulation & Security | ||
+ | - Performance | ||
+ | - Functionality | ||
+ | - Overloading | ||
+ | |||
+ | Tuning-Maßnahmen | SQL & PERFORMANCE TUNING | ||
+ | - SQL Tuning Basics | ||
+ | - Execution Plans in Details | ||
+ | - Join Operations | ||
+ | - Basic Tuning Techniques | ||
+ | - Advanced Indexing Techniques | ||
+ | - Hints | ||
+ | - Subjects | ||
+ | |||
+ | === BAD SQL === | ||
+ | Unnecessary: | ||
+ | - parse time | ||
+ | - I/O operations | ||
+ | - CPU Time | ||
+ | - waits | ||
+ | |||
+ | '''TIME on Wait(CPU) + Time on Execution = DB TIME''' | ||
+ | The reason of a bad sql | ||
+ | - bad design | ||
+ | - poor coding | ||
+ | - inefficient execution plan | ||
+ | |||
+ | === Effective Schema Design === | ||
+ | - Assign data types as much as needed | ||
+ | - datatypes with variable-length | ||
+ | - check data-consistency problems | ||
+ | - select exactly the same data type between parent-child-keys | ||
+ | - don't use varchar2 for the most of the datatypes/strings/values | ||
+ | |||
+ | Enforce data integrity | ||
+ | - correct PK and FK | ||
+ | - use normalization well | ||
+ | - smaller tables, faster join operation | ||
+ | - select right table type | ||
+ | - heap-organized table | ||
+ | - Index Clustered tables | ||
+ | - Hash Clustered tables | ||
+ | - Index-Organized tables | ||
+ | - External tables | ||
+ | - and more | ||
+ | - Create Clusters | ||
+ | - use indexes often and select index type carefully | ||
+ | - create good indexes methods | ||
+ | - Create index-organized tables(IOT) | ||
+ | |||
+ | === table partitioning === | ||
+ | |||
+ | === SQL STATEMENT PROCESSED === | ||
+ | -> '''Syntax check''' | ||
+ | -> '''Semantic check''' | ||
+ | -> '''Privilege check''' | ||
+ | -> '''Allocate private SQL AREA''' | ||
+ | Existing shared SQL AREA | ||
+ | NO-> '''HARDPARSE'''(Library cache miss) | ||
+ | -> Allocate shared sql area | ||
+ | -> optimization | ||
+ | -> row source generation | ||
+ | YES-> '''SOFTPARSE''' | ||
+ | -> EXECUTE STATEMENT | ||
+ | |||
+ | Softparse is faster, use for tuning | ||
+ | - Hashwert in Libcache | ||
+ | - Key for the executionplan in shared sql area | ||
+ | - executionplan is stored in shared library | ||
+ | |||
+ | Optimierer ist Software die Abfrage als Eingabe erhält und den besten ExecutionPlan erstellt | ||
+ | |||
+ | Full-table scan | ||
+ | Index scan | ||
+ | |||
+ | '''1. Optimization''' | ||
+ | '''2. Execution plans''' | ||
+ | '''3. Row Source Generation''' | ||
+ | |||
+ | Result-Cache | ||
+ | |||
+ | Select * from... STEPS | ||
+ | -> Check Schema Information | ||
+ | -> Find possible access paths | ||
+ | -> Use Index | ||
+ | -> Read whole table | ||
+ | -> check statistics | ||
+ | |||
+ | selective query | ||
+ | |||
+ | '''Don't use Index if Result is bigger than 25% of the whole table?''' | ||
+ | |||
+ | ==== Access Methods==== | ||
+ | - Table Access Path | ||
+ | - Full-Table scan | ||
+ | - Table Access by ROWID | ||
+ | - B-Tree Indexx Access Path | ||
+ | - Index unique scan | ||
+ | - Index range scan | ||
+ | - Index skip scan | ||
+ | - Full Index scan | ||
+ | - Bitmap index Access Path | ||
+ | - Table Cluster Access Path | ||
+ | |||
+ | In-List- Iterator | ||
+ | |||
+ | === Optimizer overview=== | ||
+ | - Optimizer | ||
+ | - RBO | RuleBasedO(not in use anymore since 10g) | ||
+ | - CBO | CostBaseO | ||
+ | Plan is dynamic | ||
+ | -> Query Transformer(Transform Query) | ||
+ | -> Estimator(Query+estimates) | ||
+ | ^-> Plan Generator(Query plan to row source generation) | ||
+ | |||
+ | ===Query Transformer=== | ||
+ | Query transforms the query into a better performing one but semantically equivalent of it | ||
+ | If the transform isn't better, it use the original one | ||
+ | Time restriction and old statistics may lead a wrong plan creation | ||
+ | Or Expansion | ||
+ | Using or in the where clause will prevent index usage | ||
+ | |||
+ | '''SELECT * FROM ID WHERE ID = 1 OR ID = 2;''' | ||
+ | Faster: | ||
+ | '''SELECT * FROM ID WHERE ID = 1;''' | ||
+ | '''UNION ALL''' | ||
+ | '''SELECT * FROM ID WHERE ID = 2;''' | ||
+ | |||
+ | Subquery Unnesting | ||
+ | Verschachtelte Abfrage in Join-Anweisung | ||
+ | '''SELECT * FROM ID WHERE ID IN''' | ||
+ | '''(SELECT ID FROM CLIENTS)''' | ||
+ | The otimizer transfomrs a nested query into a join statement | ||
+ | SELECT ID,* | ||
+ | FROM ID, CLIENTS | ||
+ | WHERE ID.ID = CLIENTS.ID; | ||
+ | |||
+ | Complex VIEW | ||
+ | |||
+ | === Selectivity & Cardinality === | ||
+ | Selectivity = NUMBER OF ROWS FROM QUERY / TOTAL NUMBERS OF THE ROWS | ||
+ | Cardinality = Total numbers of rows x Selectivity | ||
+ | |||
+ | Why selectivity and cardinality is important? | ||
+ | - SEL affects the estimates in I/O cost | ||
+ | - SEL affects the sort cost | ||
+ | - CAR is used to determine join, sort and filter costs | ||
+ | - Incorrect SEL and CAR = incorrect plan cost estimation | ||
+ | |||
+ | === COST IN DETAIL === | ||
+ | - Cost is the optimizer's best estimate of the numbers of I/O to execute statement | ||
+ | - To estimate the cost, the estimator uses: | ||
+ | - Disk I/O | ||
+ | - CPU usage | ||
+ | - Memory usage | ||
+ | |||
+ | '''COST = SINGLE-BLOCK I/O COST + MULTI-BLOCK I/O COST + CPU COST / SINGLE-BLOCK READ TIME''' | ||
+ | - SINGEL BLOCK READ TIME | ||
+ | - MULTI BLOCK READ TIME | ||
+ | - CPU CYCLES / CPU SPEED | ||
+ | |||
+ | === PLAN GENERATOR === | ||
+ | Basierend auf ausprobieren von verschiedenen Zugriffspfaden,JOIN-Methoden und JOIN-Reihenfolgen | ||
+ | |||
+ | === ROW SOURCE GENERATOR=== | ||
+ | once the plan generator generates the optimum plan, it handles that to the row source generator | ||
+ | generates an interative execution plan usabel for the database | ||
+ | is an area that we get the row set(Table,view,result of join or groups) | ||
+ | row source tree show the following information: | ||
+ | - execution order | ||
+ | - access methods | ||
+ | - join methods | ||
+ | - data operatons(filter,sort,...) | ||
+ | |||
+ | === SQL TUNING PRINICPLES AND STRATEGIES=== | ||
+ | SQL TUNING PRINCIPALS | ||
+ | - IDENTIFYING the issue | ||
+ | - carify teh details of that issue | ||
+ | - collection data | ||
+ | - analyze the data | ||
+ | - choose an appropriate tuning strategy | ||
+ | |||
+ | SQL TUNING STRATEGIES | ||
+ | - Parse time reduction | ||
+ | - plan comparison strategy | ||
+ | - quick solution strategy | ||
+ | - finding & implementing a good plan | ||
+ | - '''Query analysis strategy''' | ||
+ | |||
+ | SQL TUNING ADVISOR(braucht zugriffsrechte) | ||
+ | otimierungsmodus ändern | ||
+ | index-caching | ||
+ | etc.. | ||
+ | |||
+ | Use dynamic stats to create better plans | ||
+ | |||
+ | === QUERY ANALYSIS STRATEGIE=== | ||
+ | - quick tuning strategies did not work, and we have time to work on this problem | ||
+ | - query can be modified | ||
+ | - determine the underlying cause | ||
+ | |||
+ | '''What to do on this strategy''' | ||
+ | - statistics and parameters | ||
+ | - query structure | ||
+ | - access paths | ||
+ | - join orders & join methods(changes?) | ||
+ | - others | ||
+ | |||
+ | '''Collecting Data''' | ||
+ | - Execution plan | ||
+ | - information of the objects in the query | ||
+ | - collecting statistics | ||
+ | - object stats | ||
+ | - systems stats | ||
+ | - histograms | ||
+ | '''The available tools are''' | ||
+ | - sqlt | ||
+ | - dbms_stats | ||
+ | - tkprof | ||
+ | - awr report | ||
+ | - etc.. | ||
+ | |||
+ | '''Systemstatistiken und Histogramme''' | ||
+ | |||
+ | '''PRE-ANALYZE of the Query''' | ||
+ | - check the | ||
+ | - volumes of resulting data | ||
+ | - predicates | ||
+ | - problematic constructs | ||
+ | - OUTER JOIN | ||
+ | - VIEWS | ||
+ | - SUBQUERIES | ||
+ | - IN or OR list | ||
+ | - Hierarchical queries | ||
+ | |||
+ | '''Analyzing the execution plan''' | ||
+ | '''Tools to get the execution plan''' | ||
+ | - SQL TRACE | ||
+ | - TKPROF | ||
+ | - V$_SQL_PLAN | ||
+ | - DBMS_MONITOR | ||
+ | - AWRSQRPT.SQL | ||
+ | - etc.. | ||
+ | |||
+ | '''How to read the execution plan:''' | ||
+ | - check the access paths | ||
+ | - check the join order and the join type | ||
+ | - compare actual & estimated number of rows | ||
+ | - find the steps where cost and logical reads are different | ||
+ | |||
+ | '''Analyzing by considering the query tuning techniques''' | ||
+ | |||
+ | '''Find a possible solution''' | ||
+ | - updating statitics | ||
+ | - using dynamic stats | ||
+ | - creating or re-create an index | ||
+ | - creating index-organized tables(IOT) | ||
+ | - using hints | ||
+ | - others | ||
+ | |||
+ | === EXECUTION PLAN AND EXPLAIN IN DETAIL=== | ||
+ | An execution plan is a list of steps how to execute an sql statement | ||
+ | |||
+ | - Operations | ||
+ | - Object_name | ||
+ | - Cardinality | ||
+ | - Cost | ||
+ | - Partition_Start | ||
+ | - Partition_Stop | ||
+ | |||
+ | Stat types | ||
+ | - system stats | ||
+ | - optimizer stats | ||
+ | System stats | ||
+ | - used by the optimizer to estimate I/O and CPU | ||
+ | - costs | ||
+ | - should be generated regularly | ||
+ | - shoud be gathered during a normal workload | ||
+ | |||
+ | regenaration/recreate on every hardware change the system stats | ||
+ | |||
+ | Access Predicates | ||
+ | Filter Preddiactes | ||
+ | |||
+ | USE OF: | ||
+ | '''EXEC dbms_stats.gather_system_stats('Start');''' | ||
+ | Prozedur | ||
+ | collect_system_stats() | ||
+ | |||
+ | Berechtigung auf Tabelle '''aux_stats$''' | ||
+ | |||
+ | Optimizer Statitics | ||
+ | - can be gathered manually or autmatically | ||
+ | |||
+ | Dynamic stats? | ||
+ | |||
+ | Job für Automatische Erfassung der Statistiken | ||
+ | |||
+ | ANALYZE TABLE [TABLE_NAME] COMPUTE STATISTICS; | ||
+ | Sollte nicht mehr genutzt werden | ||
+ | |||
+ | DBMS_STATS package | ||
+ | PROCEDURES: | ||
+ | GATHER_DATABASE_STATS | ||
+ | GATHER_DICTIONARY_STATS | ||
+ | GATHER_SCHEMA_STATS | ||
+ | GATHER_TABLE_STATS | very fast | ||
+ | GATHER_INDEX_STATS | faster for singel indexes | ||
+ | |||
+ | How can see the optimizer statistics | ||
+ | - DBA_TABLES | ||
+ | - DBA_TAB_STATISTICS | ||
+ | - DBA_COL_STATISTICS | ||
+ | - DBA_INDEXES | ||
+ | - DBA_CLUSTERS | ||
+ | - DBA_TAB_PARTITIONS | ||
+ | - DBA_IND_PARTITIONS | ||
+ | - DBA_PART_COL_STATISTICS | ||
+ | |||
+ | === Generating Execution plan === | ||
+ | To analyze an execution plan | ||
+ | - explain plan | ||
+ | - autotrace | ||
+ | - V$SQL_PLAN | ||
+ | EXPLAIN PLAN | ||
+ | '''EXPLAN PLAN FOR [QUERY];''' | ||
+ | generates the explain plan and save into plan_table | ||
+ | |||
+ | select * from plan_table; | ||
+ | |||
+ | === AUTOTRACE === | ||
+ | SET AUTOTRACE ON; | ||
+ | SET AUTOTRACE ON [EXPLAIN|STATISTICS]; | ||
+ | SET AUTOTRACE TRACE[ONLY] ON [EXPLAIN|STATISTICS]; | ||
+ | SET AUTOTRACE OFF; | ||
+ | |||
+ | Autotrace uses plan table like the explain plan | ||
+ | Bindvariablen mit implizierter typenkonvertierung, klappt manchmal nicht | ||
+ | |||
+ | SQLPLUS>> | ||
+ | SQL> set linesize 200; | ||
+ | SQL> set autotrace traceonly explain; | ||
+ | SQL> select * from sales s, customers c where s.cust_id = c.cust_id and s.cust_id = 987; | ||
+ | SQL> set autotrace traceonly statistics; | ||
+ | SQL> set autotrace traceonly statistics; | ||
+ | SQL> set autotrace traceonly; | ||
+ | SQL> set autotrace on; | ||
+ | SQL> show autotrace; | ||
+ | |||
+ | AUTOTRACE WITH SQL DEVELOPER | ||
+ | |||
+ | Kann man den Code nicht durch generieren des explain-plans optimieren, nutzt man autotrace-methoden | ||
+ | Bei DML-OPS zuerst den EXPLAIN-PLAN | ||
+ | |||
+ | === V$SQL_PLAN VIEW === | ||
+ | There are a lot of performance views tha can be used for tuning | ||
+ | - V$SQLAREA | ||
+ | - V$SQL_WORKAREA | ||
+ | - V$SQL | ||
+ | - V$SQL_PLAN | ||
+ | - V$SQL_PLAN_STATISTICS | ||
+ | - V$SQL_PLAN_STATISTICS_ALL | ||
+ | |||
+ | V$SQL_PLAN | ||
+ | - Actaul execution plans are stored here | ||
+ | - It is very similar to plan_table | ||
+ | Wenn es eine Unterschied zwischen beiden gibt, gilt der Wert von V$SQL_PLAN als wahr | ||
+ | - V$SQL view | ||
+ | Sie können beide die Tabellenfunktin und das dbms_xplan Paket aufrufen für eine gute Ausgabe | ||
+ | |||
+ | '''SELECT * FROM TABLE(DBMS_XPLAN.DISPLAY_CURSOR('XXXXX'));''' | ||
+ | |||
+ | === READING THE EXECUTION PLANS === | ||
+ | Zugriffsprädikate werden für die Zeilenquellen verwendet | ||
+ | Bitmap-KOnvertierung in ROWIDS die ROWIDS aus der eingehenden Quelle | ||
+ | Tabellen Zugrif durch lokale Index-ROWID | ||
+ | Oft werden 0 Costs angezeigt, welche aber nicht 0 sind sondern einfach nur zu gering | ||
+ | |||
+ | 2 Arten von Optimierung | ||
+ | - kostenbasierte | '''COST-BASED-OPTIMIZATION''' (Empfehlung von Oracle) | ||
+ | - regelbasierte | '''RULE-BASED-OPTIMIZATION''' (Alte Art, nicht so genau) | ||
+ | |||
+ | ALL_ROWS | ||
+ | ANALYZED | ||
+ | |||
+ | first_rows & .... und später den rest, schnellere Reaktionszeit | ||
+ | |||
+ | Parameter type String | ||
+ | Syntax OPTIMIZER_MODE = | ||
+ | |||
+ | { first_rows_[1 | 10 | 100 | 1000] | first_rows | all_rows } | ||
+ | Default value all_rows | ||
+ | Modifiable ALTER SESSION, ALTER SYSTEM | ||
+ | |||
+ | [https://docs.oracle.com/cd/B19306_01/server.102/b14237/initparams145.htm#REFRN10145 OPTIMIZER_MODE] | ||
+ | |||
+ | Detailierte Tuning Strategie vs schnelle Tuning Strategie | ||
+ | |||
+ | Where to look? | ||
+ | - Cost | ||
+ | - Access Methods | ||
+ | - Cardinality | ||
+ | - JOIN Methods & JOIN TYPES | ||
+ | - Partition Pruning | ||
+ | - Others | ||
+ | ##?? | ||
+ | - Parse count | ||
+ | - Number of fetches | ||
+ | - etc.. | ||
+ | |||
+ | === Optimizer hints === | ||
+ | - To command the optimizer, we use optimizer hints | ||
+ | - optimizer hints force the optimizer to pick a specific action | ||
+ | - The optimizer may not follow your hints | ||
+ | - If hint is not reasonable, the optimizer will ignore it | ||
+ | - Hints can be operating on a single hash, multi-tables, a query block, a specific statement | ||
+ | |||
+ | Categories of the hints: | ||
+ | - Hints for optimization approaches | ||
+ | - Access paths hints | ||
+ | - Query Transformation Hints | ||
+ | - Join order Hints | ||
+ | - Parallel Execution hint | ||
+ | - Others.. | ||
+ | |||
+ | SELECT /*+ hint_name(para1 para2 para3) */ id from db; | ||
+ | - hints can used after a select, update or delete keywords | ||
+ | - you can use the table name or its alias as the hint parameter. but if there is an alias, you cannot use the table name | ||
+ | - There can be only one hint area | ||
+ | - be careful on the hints you selected, especially if you are using multiple hints | ||
+ | you may lead the optimizer to a bad execution plan | ||
+ | |||
+ | === Gathering stats === | ||
+ | optimizer statistics are crucialto sql tuning | ||
+ | |||
+ | === Search for * in execution plan === | ||
+ | - cardinality | ||
+ | - Access method | ||
+ | - Join method | ||
+ | - Join type | ||
+ | - join order | ||
+ | - Partition pruning | ||
+ | - parallel execution |
Aktuelle Version vom 20. Juni 2022, 10:16 Uhr
Inhaltsverzeichnis
- 1 ORACLE DATABASE HACKBUGZ
- 1.1 CREATE USER
- 1.2 GRANT ALL DICTIONARY TO USER
- 1.3 CREATE GLOBAL TEMPORARY TABLE
- 1.4 PL/SQL
- 1.5 Database-Management-Tools
- 1.6 Oracle SQL Developer
- 1.7 Schema vs Tablespace
- 1.8 SQL | DDL, DQL, DML, DCL and TCL Commands
- 1.9 Oracle data constrains
- 1.10 ALIAS
- 1.11 Limiting and sorting data
- 1.12 sub query
- 1.13 from clause
- 1.14 where
- 1.15 order by
- 1.16 group by having
- 1.17 like & wildcards
- 1.18 JOIN
- 1.19 aggregate function
- 1.20 set_operator
- 1.21 analytic functions
- 1.22 SQL logical operators
- 1.23 VIEW and DUAL TABLE
- 1.24 Describe
- 1.25 Synonyms
- 1.26 SQL INDEXES
- 1.27 ERD - Entity Relationship Diagram
- 1.28 Pluggable Database
- 1.29 BLOCKS
- 1.30 PGA | PROGRAM GLOBAL AREA
- 1.31 PL/SQL Outputs
- 1.32 PL/SQL VARIABLE
- 1.33 PL/SQL DELIMETER | COMMENTS
- 1.34 PL/SQL VARIABLE
- 1.35 PL/SQL CONTROL STRUCTURES
- 1.36 USING SQL INSIDE PL/SQL
- 1.37 PL/SQL CODE
- 2 SQL & PERFORMANCE TUNING
- 2.1 Blocks
- 2.2 PGA | PROGRAM/PROCESS/PRIVATE GLOBAL AREA
- 2.3 SGA | SHARED/SYSTEM GLOBAL AREA
- 2.4 SHARED POOL
- 2.5 BUFFER CACHE
- 2.6 REDO LOG BUFFER
- 2.7 UNDO
- 2.8 DML PROCESS AND COMMIT
- 2.9 Automatic memory management
- 2.10 Oracle database storage architecture
- 2.11 Logical and Physical Database structure
- 2.12 Schema
- 2.13 PERFORMANCE TUNING BASICS
- 2.14 BAD SQL
- 2.15 Effective Schema Design
- 2.16 table partitioning
- 2.17 SQL STATEMENT PROCESSED
- 2.18 Optimizer overview
- 2.19 Query Transformer
- 2.20 Selectivity & Cardinality
- 2.21 COST IN DETAIL
- 2.22 PLAN GENERATOR
- 2.23 ROW SOURCE GENERATOR
- 2.24 SQL TUNING PRINICPLES AND STRATEGIES
- 2.25 QUERY ANALYSIS STRATEGIE
- 2.26 EXECUTION PLAN AND EXPLAIN IN DETAIL
- 2.27 Generating Execution plan
- 2.28 AUTOTRACE
- 2.29 V$SQL_PLAN VIEW
- 2.30 READING THE EXECUTION PLANS
- 2.31 Optimizer hints
- 2.32 Gathering stats
- 2.33 Search for * in execution plan
ORACLE DATABASE HACKBUGZ
CREATE USER
$ sqlplus or $ connect /as sysdba sp> create user [NAME]identified by [PASSWD]; sp> grant dba to admin;
GRANT ALL DICTIONARY TO USER
sp> grant select any dictionary to [NAME];
CREATE GLOBAL TEMPORARY TABLE
CREATE GLOBAL TEMPORARY TABLE my_temp_table ( id NUMBER, description VARCHAR2(20) ) ON COMMIT PRESERVE ROWS;
-- Insert and commit, then check contents of GTT. INSERT INTO my_temp_table VALUES (1, 'ONE'); COMMIT;
SELECT COUNT(*) FROM my_temp_table;
PL/SQL
PL/SQL stands for “Procedural Language extensions to the Structured Query Language”. SQL is a popular language for both querying and updating data in the relational database management systems (RDBMS). PL/SQL adds many procedural constructs to SQL language to overcome some limitations of SQL. Besides, PL/SQL provides a more comprehensive programming language solution for building mission-critical applications on Oracle Databases.
PL/SQL is an embedded language. PL/SQL only can execute in an Oracle Database. Platform Independence
Oracle VM VirtualBox
Database Virtual Box Appliance / Virtual Machine
- Oracle Forms
PL/SQL ENGINE Procedural Statment Executor
Architecture - Cooperates with SQL Engine - Enables Subprograms - Dynamic Queries - Case Insensitivity - Oracle Style - Optimizer - Enables Object-Orinted Programming(OO Programmierung mit abstrakten Datentypen) - Web Development - PL/SQL gateway - PL/SQL Web Toolkit
SQL ENGINE SQL Statement Executor 3 Schritte: Parsing Fetching Executing Bei der Ausführung optimiert der SQL-Optimierer
Database-Management-Tools
- TOAD(Tools for Oracle application Development) - Oracle SQL Developer - SQLplus(command line tool)
Oracle SQL Developer
Oracle SQL DEVELOPER ANSICHT/DATA MODELER/BROWSER
Fix network adapter connection error: Check File: listener.ora or Shell: $ lsnrctl status $ lsnrctl start $ services.msc
Schema vs Tablespace
A schema is a namespace - a logical thing. It is used to organize the names of database objects. It has nothing to do with the way the data is stored. A tablespace is a physical thing. It's a container for data and has nothing to do with the logical organization of the database objects. A database schema vs a database tablespace?
SQL | DDL, DQL, DML, DCL and TCL Commands
DDL – Data Definition Language DQl – Data Query Language DML – Data Manipulation Language DCL – Data Control Language
DDL (Data Definition Language): - CREATE: This command is used to create the database or its objects (like table, index, function, views, store procedure, and triggers). - Table begin with a letter - 1-30 character long - A-Z,0-9,-,$,# - no duplicate names - no reserver words(select,from,etc.) - DROP: This command is used to delete objects from the database. - ALTER: This is used to alter the structure of the database. - TRUNCATE: This is used to remove all records from a table, including all spaces allocated for the records are removed. - COMMENT: This is used to add comments to the data dictionary. - RENAME: This is used to rename an object existing in the database.
DQL (Data Query Language): - SELECT: It is used to retrieve data from the database.
DML(Data Manipulation Language): - INSERT : It is used to insert data into a table. - UPDATE: It is used to update existing data within a table. - DELETE : It is used to delete records from a database table. - LOCK: Table control concurrency. - CALL: Call a PL/SQL or JAVA subprogram. - EXPLAIN PLAN: It describes the access path to data.
SELECT FROM JOIN WHERE GROUP BY HAVING ORDER BY
DCL (Data Control Language): - GRANT: This command gives users access privileges to the database. - REVOKE: This command withdraws the user’s access privileges given by using the GRANT command.
TCL – Transaction Control Language - COMMIT: Commits a Transaction. - ROLLBACK: Rollbacks a transaction in case of any error occurs. - SAVEPOINT:Sets a savepoint within a transaction. - SET TRANSACTION: Specify characteristics for the transaction.
Character functions
lower | converts upper | converts length | returns substring | select characters from string to display
concat | join 2 strings with || initcap | first letter to uppercase trim | trims text from specified x ltrim | trims text from left rtrim | trims text from right replace | replace and remove strings translate | replace set of characters
convert functions
to_char = numeric and date to string to_date = numeric & string to date to_number = value to numeric
date functions
add_months | add and return months_between | return between x and y next_day | next day of day last_day | days left in month from date
numeric functions
round | trunc | floor | ceil | mod |
Oracle data constrains
NULL | not null UNIQUE | each row unique PRIMARY KEY | references pk in other table FOREIGN KEY | references fk in other table CHECK | meets condition DEFAULT |
ALIAS
shorter query more than one table table or column name too long or not reader friendly two or more columns combined together when functions used in query
Limiting and sorting data
retrieve a only a part of a big data and sort the result use select clause and operators
sub query
from clause
where
order by
filter or sort data required by some analytic functions function () over ( order by column_name)
group by having
like & wildcards
JOIN
equi join non equi join catesian join outer join self join
join ON USING(mergeinto a single col)
aggregate function
avg count max min sum
set_operator
union all returns result from both queries after eliminating doubles intersect set rows that are common to both queries minnus set rows in the first query that are not in the second query
set operators summary use order by only at the end of statement
analytic functions
SQL logical operators
- and - or - in - between - like - not - all - any - is null
VIEW and DUAL TABLE
VIEW SQL SELECT QUERY, stored in db, treated like a table but no data stored in. DUAL TABLE A special dummy one-row, one-column table, present by default in all oracle db installations varchar2(1), column value is x
Describe
Description relating to the db obj like tables and view
Synonyms
alias for an obj in the db can be used to hide the identity and location PRIVATE SYNONYM PUBLIC SYNONYM
SQL INDEXES
Used to speed up the performance of sql-querys or statements Pointer to data
Type of Indexes
- B-Tree - Bitmap Can be simple or composite - Function-Based If we use a function on a column which is indexed, then such an index will not be used Create an index on functionor expression - Index - Organized Tables Für kleine Datenmengen B-Tree-Format - Cluster Index group of multi Tables, stores data in the same block - Composite Index
B-Tree - Branch Block - Leaf Block
Fragementation of Index Rebuild the Indexes
Create index [NAME] on [TABLE](COL) Create index [NAME] on [TABLE](COL1,COL2)
ERD - Entity Relationship Diagram
Cardinality Crow's foot notation
Pluggable Database
Pluggable Database = Multitenant Architecture
sys-user rolle SYSDBA or SYSOPER
Methoden wie "Bulk Insert"
About DML Statements and Transactions
PL/SQL - Arrays
BLOCKS
DECLARE | optional BEGIN | mandatory EXCEPTION | optional END; | mandatory
3 TYPES OF BLOCKS - Anonymous Blocks - Procedures - Functions
PGA | PROGRAM GLOBAL AREA
PL/SQL Outputs
Not an output language SET SERVEROUTPUT ON SET SERVEROUTPUT ON SIZE UNLIMITED SET SERVEROUTPUT ON SIZE 5000 DBMS_OUTPUT | Package DBMS_OUTPUT 106 DBMS_OUTPUT
Ein Paket ist ein PL/SQL Objekt das Prozeduren oder Funktionen enthält um Operationen auszuführen.
SET SERVEROUTPUT ON; begin dbms_output.put_line ('Hello'); end;
SET SERVEROUTPUT ON; begin dbms_output.put_line ('Anonymous Block'); begin dbms_output.put_line ('Nested Block'); end; end;
PL/SQL VARIABLE
TYPES: SCALAR CHAR (max_length) | 32767 bytes VARCHAR2(max_length) NUMBER[precision,sale] BINARY_INTEGER = PLSINTEGER | (LOWER MEMORY, FASTER FOR ARITHMETIC) BINARY_FLOAT BINARY_DOUBLE BOOLEAN | TRUE, FALSE, NULL (DEFAULT NULL) DATE TIMESTAMP TIMESTAMP(p) WITH TIME ZONE TIMESTAMP(p) WITH LOCAL TIME ZONE INTERVAL(p) YEAR TO MONTH INTERVAL(p) DAY TO SECOND(p)
- LARGE OBJECTS - REFERENCE - COMPOSITE
Variable naming rules
start with letter can contain special chars max 30 chars no oracle reserved names
name conventions: v_variable cur_cursor e_exception p_procedure p_function b_bind
variable_name [CONSTANT] datatype [NOT NULL] [:= | DEFAULT initial_value]
sales number(10, 2); pi CONSTANT double precision := 3.1415; name varchar2(25); address varchar2(100);
DECLARE V_TEXT_1 VARCHAR2(50) := 'STRING'; V_TEXT_2 VARCHAR2(50) NOT NULL DEFAULT 'DEFAULT'; V_TEXT_3 VARCHAR2(50) := 'STRING'; V_TEXT_4 VARCHAR2(50) := 'STRING'; V_NUMBER_1 NUMBER NOT NULL := 50; V_NUMBER_2 NUMBER NOT NULL := 100.02; V_NUMBER_3 NUMBER(4) NOT NULL := 111.22; V_NUMBER_4 NUMBER(5,2) NOT NULL := 111.22; V_NUMBER_5 NUMBER(5,1) NOT NULL := 111.22; V_PLS_INTEGER_1 PLS_INTEGER := 111.22; V_BINARY_INTEGER_1 BINARY_INTEGER := 111.22; V_BINARY_FLOAT_1 PLS_INTEGER := 111.22f; V_DATE_1 DATE NOT NULL := SYSDATE; V_DATE_2 DATE NOT NULL := '6 JUN-22 08:01:22'; V_TIMESTAMP_1 TIMESTAMP NOT NULL := SYSTIMESTAMP; V_TIMESTAMP_2 TIMESTAMP(3) WITH TIME ZONE NOT NULL := SYSTIMESTAMP;
PL/SQL DELIMETER | COMMENTS
-- CODE -- /* CODE */
PL/SQL VARIABLE
- Declaring - Initializing - Attribute - Scope - Bind
PL/SQL BIND VARIABLE
SQL-Bindings können helfen, die Performance von dynamischem SQL ganz erheblich zu verbessern.
Die meisten Datenbankanbieter verfügen heutzutage über einen Ausführungsplan-Cache (Oracle nennt ihn Cursor-Cache), in dem zuvor analysierte SQL-Anweisungen gespeichert sind und deren Ausführungsplan (und -pläne) zur Wiederverwendung zwischengespeichert werden. Dies ist der Hauptgrund, warum Bind-Variablen so wichtig sind
PL/SQL CONTROL STRUCTURES
- IF - CASE EXPRESSIONS - LOOPS - Basic LOOP - WHILE LOOP - FOR LOOP - NESTED LOOP - LOOP LABELING - CONTINUE STATEMENT - GOTO
IF | IF-ELSE | IF-ELSE IF
The IF statement allows you to either execute or skip a sequence of statements, depending on a condition. The IF statement has the three forms:
– IF THEN – IF THEN ELSE – IF THEN ELSIF IF condition THEN statements; END IF;
LOOP
The CASE statement chooses one sequence of statements to execute out of many possible sequences. The CASE statement has two types: simple CASE statement and searched CASE statement. Both types of the CASE statements support an optional ELSE clause. Simple CASE statement Searched CASE statement
This structure is the most basic of all the loop constructs including FOR LOOP and WHILE LOOP. This basic LOOP statement consists of a LOOP keyword, a body of executable code, and the END LOOP keywords.
The LOOP statement executes the statements in its body and returns control to the top of the loop. Typically, the body of the loop contains at least one EXIT or EXIT WHEN statement for terminating the loop. Otherwise, the loop becomes an infinite loop.
The LOOP statement can have an optional label that appears at the beginning and the end of the statement.
<<label>> LOOP statements; END LOOP loop_label;
LOOP EXIT; END LOOP;
LOOP IF condition THEN EXIT; END IF; END LOOP;
EXIT WHEN statement The EXIT WHEN statement has the following syntax: EXIT WHEN condition;
Nested loops It is possible to nest a LOOP statement within another LOOP statement as shown in the following example:
USING SQL INSIDE PL/SQL
SELECT columns|expressions INTO variables|records FROM table|tables [WHERE condition];
Gleiche Reihenfolge|Typen der Variablen im STATEMENT
PL/SQL Static SQL
DML OPERATIONS
A Transaction start's with a DML and end with a commit,rollback or system error
- INSERT - UPDATE - DELETE - MERGE
CREATE TABLE testcopy as select * from test;
There is no create or replace table in Oracle
DROP TABLE test; CREATE TABLE test ...;
SEQUENCES
Use of CURRVAL and NEXTVAL A sequence is a schema object that can generate unique sequential values. These values are often used for primary and unique keys. You can refer to sequence values in SQL statements with these pseudocolumns:
CURRVAL: Returns the current value of a sequence NEXTVAL: Increments the sequence and returns the next value In same statement increments only 1 time select 1.NEXTVAL 1.NEXTVAL 1.NEXTVAL ....
You must qualify CURRVAL and NEXTVAL with the name of the sequence: SELECT sequence_name.nextval|currval INTO variable|column FROM table_name|dual;
Variable|column :=sequence_name.nextval|currval
How do I reset a sequence in Oracle? How to reset sequences? Dynamic SQL to reset sequence value
COMPOSITE DATA TYPES
Records
Ein Datensatz mit Einem oder mehrere Werte Gleiche oder unterschiedliche Typen Datensatz innerhalb eines Datensatzes NULL by Default
1. Weg r_name TABLE_NAME%rowtype;
Vorteil: - Dynamische Typen-Zuweisung aus Tabelle - Durchführung einfacher DML Operationen
2. Weg - Einzelne Spalten Auswahl - Eigene Typen definition
type NAME is record ( NAME TYPE, NAME TYPE, []);
Alle typen ausser ref-cursors
Einen Datensatz
Collections
List of the same type Vorsicht vor Speicherfehler
3 Types
- Nested tables Keys only Numbers, begin fom 1 No Max Values
- VARRAYs Begrenzung der Grösse Genau Angabe der Grösse Objekt für Prozedur oder Funktion Seltene Verwendung Max 2 GB Varray-Typ in der Datenbank Can't go back Bounded Index start from 1 one dimensional array null by default
- Associative Arrays Key can be strings
CURSORS
Bei normaler SQL-Abfrage, wird nur ein Teil der Ergebnismenge, Algorithemn, Ausführungspläne, etc. im KOntextbereich gespeichert. Cursors are pointers to the Data, in Memory or Disc
2 Types of Cursors:
Implicit Cursor(Create and administration by Database) Bei jedem SELECT wird ein Impliziter Cursor erstellt Explicit Cursor We can control cursors Explicit cursors are created by the programmers Collection vs cursor You cannot go back in cursors Abruf- und Speicheralgorithmus Gleichzeitiges laden von Ergebnismengen in den Speicher Operationen sind so viel schneller
Anordnung vom Server anhand der Ergebnismenge und der Speichersituation. Ein Select aus dem Speicher ist schneller als aus der Datenbank
Usage: - Declare - Open - Fetch - Check - Close
loop exit when NAME%notfound;
Cursor Parameters
Cursor Attributes - %FOUND - %NOTFOUND - %ISOPEN - %ROWCOUNT
FOR UPDATE CLAUSE - for update(locks the selected rows) - nowait - wait(default) - for update of(locks only selected tables)
EXCEPTIONS
- ORA CODE ORA-01403: no data found
Over 10.000 nonamed exceptions Cause Action A block has 3 sections - Declare - Begin-End - Exception
Implicit Explicit
- Predefined Oracle Server Error - Nonpredefined Oracle Server Error - User-defined Errors
Select "Step Into" on first run, with anonymous blocks Handle by 3 ways: 1. Trap 2. Propagate 3. Trap & Propagate
SQLCODE & SQLERRM
FUNCTIONS & PROCEDURES
Stored in the Database with names Compiled only once Can be called by another block or application Can return values Can take parameters
Functions vs procedures in Oracle What is the difference between function and procedure in PL/SQL? Function-Based Indexes Using Autotrace in SQL*Plus Tuning SQL*Plus
Packages
Advantages of using packages - Modularity - Easy Maintenance - Encapsulation & Security - Performance - Functionality - Overloading
Triggers
- Security - Auditing - Data Integrity - Table Logging - Event Logging - Derived Data
3 types of Triggers - DML Triggers - Compound Triggers - Non-DML Triggers
Debugging
dbms_debug_package JDWP Java Debug Wire Protocol
Never debug on production Testing and Debugging Procedures with SQL Developer
CARE !! Execute the code on debug Can't debug package
Connect with SYS or SYSTEM and GRAND SESSION and ANY PROCEDURE
On remote get port range from DBA
Breakpoints - Run until Breakpointoccurs - Step over - Step into
Dynamic SQL & PL/SQL IN PL/SQL
Static SQL - Written in advance - parse at compile time
SQL EXECUTION STAGES - Parse - Bind - Execute - Fetch
Advantages of Dynamic SQL - Constructed as string at runtime - Bind variables can be used - Allows us to use DDL, DCL or Session-Control statements in PL/SQL blocks How to generate Dynamic SQL(2 Ways) - Native Dynamic SQL Statements(more efficient and better performance as DBMS_SQL) - DBMS_SQL Package
Can also generate dynamic PL/SQL blocks
SQL Injection
Oracle-Supplied Packages
- StandardPackage - DBMS_OUTPUT Package(debug subprograms, read-write text data) - UTL_FILE Package(performing file operations) - UTL_MAIL Package(performs mailing operations)
PL/SQL CODE
- Name conventions
SQL & PERFORMANCE TUNING
- What is SQL Tuning and why we need it? - Oracle Database Architecture - SQL Tuning Basics - Execution Plans in Details - Join Operations - Basic Tuning Techniques - Advanced Indexing Techniques - Hints - Subjects
Change SQL-Structure or Database-Structure Need to know of the Database Architecture in Basic
Tools - SQL plus - SQL Developer - SQL Tuning Advisor is internal diagnostic software that identifies problematic SQL statements and recommends how to improve statement performance. - Automatic SQL Tuning Advisor - SQL Access Advisor is internal diagnostic software that recommends which materialized views, indexes, and materialized view logs to create, drop, or retain. - Automatic Database Diagnostic Monitor (ADDM) ADDM is self-diagnostic software built into Oracle Database. - TOAD - AWR - TKPROF
- Determine the bottlenecks in low-performance Oracle databases - Use Oracle database performance tuning tools, like: AWR, ASH, V$ views, SQL tracing, real-time monitoring, and EM Express - Propose solutions to database performance issues - Implement Oracle methodology in performance tuning
SQL Tuning is a continuous process You need to tune your queris - While creating - After the creating
When to decide tuning? - By checking the top consuming queries frequently - After any complaints of bad performance
The reasons of performance loss - Structural changes - Changes on the data volume - Application changes - Aged statistics - Database upgrades - Database parameter changes - Operating system changes - hardware changes
Blocks
All data stored in blocks smallest unit of database storage 2KB-32KB(default 8KB) stores row data or index data
Eigenschaften: - Block Header Block Type Information Table Information Row Directory ROWID(Like pointer?) - Rows Blocks in Blocks Jeder Block wird in eine bestimmte Stelle geschrieben PCTFREE or PCTUSE parameters for the space size in blocks Wenn nicht genug Platz, wird bei jedem update wahrscheinlich die Position geändert - Verringerte Leistung - IO-OPS werden langsamer - Schlecht für das Tuning - Verlangsamt die Indexes
Das lesen einer Zeile, von einer Tabelle aus einem Block, ist schneller als aus mehreren Blöcken
1. Row Header 2. Column Data
- Row Overhead - Number of Columns - Cluster Key ID(if clustered) - ROWID of chained Row Pieces(if any) - Column Length - Column Value
Wenn die größe der Blocks in den Abfragen verringert wird, steigert man die Leistung
PGA | PROGRAM/PROCESS/PRIVATE GLOBAL AREA
Private for each user
4 Hauptspeicher Bereiche: PGA Session AREA - Session info for each user - Session Variables, login info, session status, etc. Unnötige verbindungen vermeiden
PSA(Private SQL Area) PERSISTENT AREA - Jede Abfrage wird zu einem Cursor - Verwendete Bindvariablen der Cursor werden hier gespeichert RUNTIME AREA - Execution state info CURSOR AREA - Information of cursors
SQL WORK AREA SORT AREA HASH JOIN AREA BITMAP MERGE AREA BITMAP CREATE AREA
Weniger Speicher verringert die LEistung
Speichergröße festlegen - User - Oracle selber
SGA | SHARED/SYSTEM GLOBAL AREA
Database buffer cache Redo log buffer Shared pool - Data dictionary cache - Result Cache - other Large pool - I/O Buffer - Free memory - Response queue - Request queue JAVA pool Streams pool
Context switching between pl/sql engine and sql engine
SHARED POOL
DATA DICTIONARY CACHE - Stores the definitions of the database object and permissions - check if Data from query exists - check your privileges
RESULT CACHE - stores result of common used queries - stores result of functin - Bei wiederholter Abfrage wird aus dem RESULT CACHE gelesen - Speicher die Abfrageergebnisse - Speicher die Funktionsergebnisse
Erhöht die Leistung Wird von der Datenbank durchgeführt User kann anweisen Result Cache anweisen daten zu speichern
Library Cache - Stores the execution plans - Stores procedures, packages control structures Oracle erstellt Ausführungspläne Wie die Daten aus der Disc oder dem Puffer gelesen werden Die Erstellung eines Ausführungsplans ist ein kostspieliger Vorgang Die Verwendung eines Ausführungsplans für ähnliche Abfragen kann sehr effizient sein
OTHER AREAS
BUFFER CACHE
Largest memory area of sga Stores the copies of the blocks read from the disc Available for all the users First check Buffer than Disc, for the data Check Disc only if blocks are missing Much faster than disc Size of the memory is endless Maintained with a complex algorithm Can't save all data in buffer cache IN-MEMORY-DATABASES Stores the most recently used & most toched ones Database writer process handles the write operations to the disc Writes not one by one, writes all changed blocks in one step dirty blocks Stores Tabledata and Indexdata
Performance for same - queries - tables - indexes
REDO LOG BUFFER
-> Log Writer Process(LGWR) -> Redo Log Entries -> Redo Log Files -> Server Process
Redo-Log-Files Oracle Guarantees Not to Lose Data - A Redo Log Entry is created when insert, update, delete, create, alter, drop occurs Create Redo Log entries for all changes Redo Log Entries has the changes made to the database They are used for recovery operatins You need privileges as a developer Redo Log Entries are Stored in the redo log buffer Starts every 3 sec and write to disc Redo Log buffer is a circular buffer Rollback is not done with redo log data Redo do recovery on rollback redo log files are deleted
UNDO
What is rollback and recovery The original data stored into the memory(undo tablespace) is called as undo data buffer cache for the modifications undo data is not modified because - Used for rollback operations - Used for providing read consistency - Used for providing flashback feature
BLOCKS > EXTENTS > SEGMENTS > TABLESPACE
DML PROCESS AND COMMIT
Optimize Queries and DML's - Checks the Shared SQL AREA for similar statements to use - checks the data dictionary cache and checks if query is valid - Checks buffer cache & undo segements for the related data - Locks the related blocks - Makes the changes to the blocks in the buffer cache - the changes are applied to the redo log buffer before the buffer cache - the server returns the feedback for the changes
When the user commits: - System change number write to redo log files - the server creates a commitrecord with scn - the lgwr process write redo log entries in the redo log buffer to the redo log files - the dbwn writes the dirty blocks to the disc & unlocks the blocks - The server returns a feedback about the transaction completion
Automatic memory management
The size of each memory ara is important for the execution performance of your queries Wenn des Speicherbereich nicht ausreicht verringert das die performance It can manage both SGA & PGA memory In früheren versionen von oracle musste PGA manuell angegeben werden it is recommended to leave automatic memory management enabled to increase the performance will prefent out of memory errors
Oracle database storage architecture
- Storage = Discs - Control files storage the pyhsical structure information of the database(without no access to data) - Data Files - Stores data(Tables, procedures, application, data - Online Redo log files: stores redo log entries - archived redo log files - online redo log files are constantly mover ehre - backup files - Stores the exact copy of the data files for disaster recovery - Parameter files - Stores the configuration data of the database instance - password file - Stores the passwords of the amin user(sysdba,sysoper,sysasm) - alert log & trace files - stores log message and errors occured in the database Some Informations are for the dev's and some for the oracle support service
Logical and Physical Database structure
- Blocks | smallest units of storage(2kb-32kb) - Extents | combination of several consecutive data blocks. used for stroing secific type of info - segments | combination of several extents used for storing some big data(tables,indexes, etc) - data segments - index segments - undo segments - temporary segments - tablespaces | combination of many segments. used for grouping the related data in one container - Temporary Tabelspace Stores teh temporary data of a session - Permanent Tablespace Stores the persistent schema objects
DB must have min 2 Tablespaces - System Tablespace - SYSAUX Tablespace DBA can create more Tablespaces
Check for Performance Set Tablespaces Online and Offline Status Can do backup or recovery of a give tablespace Import or export Tablespaces Create a transportable tablespace and move too other db
Schema
Ein Schema ist eine Sammlung von Datenbankobjekten die einem Datenbankbenutzer gehören
PERFORMANCE TUNING BASICS
SQL Tuning is a continuous process You nedd to tune your queries - on creating - After the creation - On new Indexes created - Change of data volume When to decide tuning? - checking the top consuming queries frequently - after any complaints of bad performance two goals in tuning: - reduce user response time, decreasing time between statement and response - Improve throughput Knowledge and skills: - know your db architecture - sql - sql tuning tools
Check oracle database statistics Betriebssystem - Software - Services - Updates - Datenbank, Oracle Datenbank Architektur Häufige Ursache für Performance Verlust, bei Änderung von: - Tabellen, DB Struktur - Datenvolumen - Applikationen - Datenbank-Update - Datenbank-Parameter - Betriebssystem - Betriebssystem-Update - Betriebssystem-Konfiguration - Hardware
Welche Oracle Packages für: - Modularity - Easy Maintenance - Encapsulation & Security - Performance - Functionality - Overloading
Tuning-Maßnahmen | SQL & PERFORMANCE TUNING - SQL Tuning Basics - Execution Plans in Details - Join Operations - Basic Tuning Techniques - Advanced Indexing Techniques - Hints - Subjects
BAD SQL
Unnecessary: - parse time - I/O operations - CPU Time - waits
TIME on Wait(CPU) + Time on Execution = DB TIME The reason of a bad sql - bad design - poor coding - inefficient execution plan
Effective Schema Design
- Assign data types as much as needed - datatypes with variable-length - check data-consistency problems - select exactly the same data type between parent-child-keys - don't use varchar2 for the most of the datatypes/strings/values
Enforce data integrity - correct PK and FK - use normalization well - smaller tables, faster join operation - select right table type - heap-organized table - Index Clustered tables - Hash Clustered tables - Index-Organized tables - External tables - and more - Create Clusters - use indexes often and select index type carefully - create good indexes methods - Create index-organized tables(IOT)
table partitioning
SQL STATEMENT PROCESSED
-> Syntax check -> Semantic check -> Privilege check -> Allocate private SQL AREA Existing shared SQL AREA NO-> HARDPARSE(Library cache miss) -> Allocate shared sql area -> optimization -> row source generation YES-> SOFTPARSE -> EXECUTE STATEMENT
Softparse is faster, use for tuning - Hashwert in Libcache - Key for the executionplan in shared sql area - executionplan is stored in shared library
Optimierer ist Software die Abfrage als Eingabe erhält und den besten ExecutionPlan erstellt
Full-table scan Index scan
1. Optimization 2. Execution plans 3. Row Source Generation
Result-Cache
Select * from... STEPS -> Check Schema Information -> Find possible access paths -> Use Index -> Read whole table -> check statistics
selective query Don't use Index if Result is bigger than 25% of the whole table?
Access Methods
- Table Access Path - Full-Table scan - Table Access by ROWID - B-Tree Indexx Access Path - Index unique scan - Index range scan - Index skip scan - Full Index scan - Bitmap index Access Path - Table Cluster Access Path
In-List- Iterator
Optimizer overview
- Optimizer - RBO | RuleBasedO(not in use anymore since 10g) - CBO | CostBaseO Plan is dynamic -> Query Transformer(Transform Query) -> Estimator(Query+estimates) ^-> Plan Generator(Query plan to row source generation)
Query Transformer
Query transforms the query into a better performing one but semantically equivalent of it If the transform isn't better, it use the original one Time restriction and old statistics may lead a wrong plan creation Or Expansion Using or in the where clause will prevent index usage SELECT * FROM ID WHERE ID = 1 OR ID = 2; Faster: SELECT * FROM ID WHERE ID = 1; UNION ALL SELECT * FROM ID WHERE ID = 2;
Subquery Unnesting Verschachtelte Abfrage in Join-Anweisung SELECT * FROM ID WHERE ID IN (SELECT ID FROM CLIENTS) The otimizer transfomrs a nested query into a join statement SELECT ID,* FROM ID, CLIENTS WHERE ID.ID = CLIENTS.ID;
Complex VIEW
Selectivity & Cardinality
Selectivity = NUMBER OF ROWS FROM QUERY / TOTAL NUMBERS OF THE ROWS Cardinality = Total numbers of rows x Selectivity Why selectivity and cardinality is important? - SEL affects the estimates in I/O cost - SEL affects the sort cost - CAR is used to determine join, sort and filter costs - Incorrect SEL and CAR = incorrect plan cost estimation
COST IN DETAIL
- Cost is the optimizer's best estimate of the numbers of I/O to execute statement - To estimate the cost, the estimator uses: - Disk I/O - CPU usage - Memory usage
COST = SINGLE-BLOCK I/O COST + MULTI-BLOCK I/O COST + CPU COST / SINGLE-BLOCK READ TIME - SINGEL BLOCK READ TIME - MULTI BLOCK READ TIME - CPU CYCLES / CPU SPEED
PLAN GENERATOR
Basierend auf ausprobieren von verschiedenen Zugriffspfaden,JOIN-Methoden und JOIN-Reihenfolgen
ROW SOURCE GENERATOR
once the plan generator generates the optimum plan, it handles that to the row source generator generates an interative execution plan usabel for the database is an area that we get the row set(Table,view,result of join or groups) row source tree show the following information: - execution order - access methods - join methods - data operatons(filter,sort,...)
SQL TUNING PRINICPLES AND STRATEGIES
SQL TUNING PRINCIPALS - IDENTIFYING the issue - carify teh details of that issue - collection data - analyze the data - choose an appropriate tuning strategy SQL TUNING STRATEGIES - Parse time reduction - plan comparison strategy - quick solution strategy - finding & implementing a good plan - Query analysis strategy
SQL TUNING ADVISOR(braucht zugriffsrechte) otimierungsmodus ändern index-caching etc.. Use dynamic stats to create better plans
QUERY ANALYSIS STRATEGIE
- quick tuning strategies did not work, and we have time to work on this problem - query can be modified - determine the underlying cause What to do on this strategy - statistics and parameters - query structure - access paths - join orders & join methods(changes?) - others
Collecting Data - Execution plan - information of the objects in the query - collecting statistics - object stats - systems stats - histograms The available tools are - sqlt - dbms_stats - tkprof - awr report - etc..
Systemstatistiken und Histogramme
PRE-ANALYZE of the Query - check the - volumes of resulting data - predicates - problematic constructs - OUTER JOIN - VIEWS - SUBQUERIES - IN or OR list - Hierarchical queries
Analyzing the execution plan Tools to get the execution plan - SQL TRACE - TKPROF - V$_SQL_PLAN - DBMS_MONITOR - AWRSQRPT.SQL - etc..
How to read the execution plan: - check the access paths - check the join order and the join type - compare actual & estimated number of rows - find the steps where cost and logical reads are different
Analyzing by considering the query tuning techniques Find a possible solution - updating statitics - using dynamic stats - creating or re-create an index - creating index-organized tables(IOT) - using hints - others
EXECUTION PLAN AND EXPLAIN IN DETAIL
An execution plan is a list of steps how to execute an sql statement
- Operations - Object_name - Cardinality - Cost - Partition_Start - Partition_Stop
Stat types - system stats - optimizer stats System stats - used by the optimizer to estimate I/O and CPU - costs - should be generated regularly - shoud be gathered during a normal workload
regenaration/recreate on every hardware change the system stats Access Predicates Filter Preddiactes USE OF: EXEC dbms_stats.gather_system_stats('Start'); Prozedur collect_system_stats()
Berechtigung auf Tabelle aux_stats$
Optimizer Statitics - can be gathered manually or autmatically Dynamic stats?
Job für Automatische Erfassung der Statistiken
ANALYZE TABLE [TABLE_NAME] COMPUTE STATISTICS; Sollte nicht mehr genutzt werden DBMS_STATS package PROCEDURES: GATHER_DATABASE_STATS GATHER_DICTIONARY_STATS GATHER_SCHEMA_STATS GATHER_TABLE_STATS | very fast GATHER_INDEX_STATS | faster for singel indexes
How can see the optimizer statistics - DBA_TABLES - DBA_TAB_STATISTICS - DBA_COL_STATISTICS - DBA_INDEXES - DBA_CLUSTERS - DBA_TAB_PARTITIONS - DBA_IND_PARTITIONS - DBA_PART_COL_STATISTICS
Generating Execution plan
To analyze an execution plan - explain plan - autotrace - V$SQL_PLAN EXPLAIN PLAN EXPLAN PLAN FOR [QUERY]; generates the explain plan and save into plan_table select * from plan_table;
AUTOTRACE
SET AUTOTRACE ON; SET AUTOTRACE ON [EXPLAIN|STATISTICS]; SET AUTOTRACE TRACE[ONLY] ON [EXPLAIN|STATISTICS]; SET AUTOTRACE OFF;
Autotrace uses plan table like the explain plan Bindvariablen mit implizierter typenkonvertierung, klappt manchmal nicht
SQLPLUS>> SQL> set linesize 200; SQL> set autotrace traceonly explain; SQL> select * from sales s, customers c where s.cust_id = c.cust_id and s.cust_id = 987; SQL> set autotrace traceonly statistics; SQL> set autotrace traceonly statistics; SQL> set autotrace traceonly; SQL> set autotrace on; SQL> show autotrace;
AUTOTRACE WITH SQL DEVELOPER
Kann man den Code nicht durch generieren des explain-plans optimieren, nutzt man autotrace-methoden Bei DML-OPS zuerst den EXPLAIN-PLAN
V$SQL_PLAN VIEW
There are a lot of performance views tha can be used for tuning - V$SQLAREA - V$SQL_WORKAREA - V$SQL - V$SQL_PLAN - V$SQL_PLAN_STATISTICS - V$SQL_PLAN_STATISTICS_ALL
V$SQL_PLAN - Actaul execution plans are stored here - It is very similar to plan_table Wenn es eine Unterschied zwischen beiden gibt, gilt der Wert von V$SQL_PLAN als wahr - V$SQL view Sie können beide die Tabellenfunktin und das dbms_xplan Paket aufrufen für eine gute Ausgabe
SELECT * FROM TABLE(DBMS_XPLAN.DISPLAY_CURSOR('XXXXX'));
READING THE EXECUTION PLANS
Zugriffsprädikate werden für die Zeilenquellen verwendet Bitmap-KOnvertierung in ROWIDS die ROWIDS aus der eingehenden Quelle Tabellen Zugrif durch lokale Index-ROWID Oft werden 0 Costs angezeigt, welche aber nicht 0 sind sondern einfach nur zu gering 2 Arten von Optimierung - kostenbasierte | COST-BASED-OPTIMIZATION (Empfehlung von Oracle) - regelbasierte | RULE-BASED-OPTIMIZATION (Alte Art, nicht so genau)
ALL_ROWS ANALYZED
first_rows & .... und später den rest, schnellere Reaktionszeit
Parameter type String Syntax OPTIMIZER_MODE =
{ first_rows_[1 | 10 | 100 | 1000] | first_rows | all_rows } Default value all_rows Modifiable ALTER SESSION, ALTER SYSTEM
OPTIMIZER_MODE
Detailierte Tuning Strategie vs schnelle Tuning Strategie
Where to look? - Cost - Access Methods - Cardinality - JOIN Methods & JOIN TYPES - Partition Pruning - Others ##?? - Parse count - Number of fetches - etc..
Optimizer hints
- To command the optimizer, we use optimizer hints - optimizer hints force the optimizer to pick a specific action - The optimizer may not follow your hints - If hint is not reasonable, the optimizer will ignore it - Hints can be operating on a single hash, multi-tables, a query block, a specific statement
Categories of the hints: - Hints for optimization approaches - Access paths hints - Query Transformation Hints - Join order Hints - Parallel Execution hint - Others..
SELECT /*+ hint_name(para1 para2 para3) */ id from db; - hints can used after a select, update or delete keywords - you can use the table name or its alias as the hint parameter. but if there is an alias, you cannot use the table name - There can be only one hint area - be careful on the hints you selected, especially if you are using multiple hints you may lead the optimizer to a bad execution plan
Gathering stats
optimizer statistics are crucialto sql tuning
Search for * in execution plan
- cardinality - Access method - Join method - Join type - join order - Partition pruning - parallel execution