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Oracle Hints Tutorial for improving performance
 
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Oracle Hints Tutorial for improving performance APPEND PARALLEL JOIN INDEX NO_INDEX SELECT /*+ FIRST_ROWS(10) */ * FROM emp WHERE deptno = 10; SELECT /*+ ALL_ROWS */ * FROM emp WHERE deptno = 10; SELECT /*+ NO_INDEX(emp emp_dept_idx) */ * FROM emp, dept WHERE emp.deptno = dept.deptno; SELECT /*+ INDEX(e,emp_dept_idx) */ * FROM emp e WHERE e.deptno = 10; -- SELECT /*+ INDEX(scott.emp,emp_dept_idx) */ * FROM scott.emp; SELECT /*+ AND_EQUAL(e,emp_dept_idx) */ * FROM emp e; SELECT /*+ INDEX_JOIN(e,emp_dept_idx) */ * FROM emp e; SELECT /*+ PARALLEL_INDEX(e,emp_dept_idx , 8) */ * FROM emp e; SELECT /*+ LEADING (dept) */ * FROM emp, dept WHERE emp.deptno = dept.deptno; SELECT /*+ PARALLEL(8) CACHE (e) FULL (e) */ * FROM emp e ; SELECT /*+ PARALLEL FULL (e) */ * FROM emp e ; SELECT /*+ PARALLEL USE_MERGE (emp dept) */ * FROM emp, dept WHERE emp.deptno = dept.deptno; -- SORT Merge Join SELECT /*+ PARALLEL USE_HASH (emp dept) */ * FROM emp, dept WHERE emp.deptno = dept.deptno; -- Hash Join SELECT /*+ PARALLEL */ * FROM emp e ; INSERT /*+ APPEND */ INTO mytmp select /*+ CACHE (e) */ *from emp e; commit;
Views: 7431 TechLake
14.412 Simple Hash Join
 
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My book "Patterns in Data Management" is now available both as an ebook or a print book (with color graphics!). See: http://amzn.to/1Ts3rwx This book is not a standard textbook on database techniques. This book was written extending and complementing preexisting educational videos (including this one). Video for my inverted classroom "Database Systems". The complete list of videos, slides, and additional material is (will be) available at http://datenbankenlernen.de Computer Science, Saarland University: Bachelor (in German): http://www.cs.uni-saarland.de/index.p... Master (in English): http://www.cs.uni-saarland.de/index.p... Ph.D./Grad School: http://gradschool.cs.uni-saarland.de/
14.416 Sort-Merge Join, Co-Grouping
 
18:31
My book "Patterns in Data Management" is now available both as an ebook or a print book (with color graphics!). See: http://amzn.to/1Ts3rwx This book is not a standard textbook on database techniques. This book was written extending and complementing preexisting educational videos (including this one). Video for my inverted classroom "Database Systems". The complete list of videos, slides, and additional material is (will be) available at http://datenbankenlernen.de Computer Science, Saarland University: Bachelor (in German): http://www.cs.uni-saarland.de/index.p... Master (in English): http://www.cs.uni-saarland.de/index.p... Ph.D./Grad School: http://gradschool.cs.uni-saarland.de/
32. Anti Join in Oracle
 
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In this video you will learn about Anti Join in Oracle. Anti Join returns rows from the first table where no matches are found in the second table. For Support =========== Email: [email protected] Contact Form: http://www.learninhindi.com/home/contact Our Social Media ================ Facebook: https://www.facebook.com/LearnInHindi Twitter: https://twitter.com/LearnInHindi For Training & Videos ===================== For more videos and articles visit: http://www.learninhindi.com Free Java Programming In Hindi Course ===================================== https://www.youtube.com/playlist?list=PLOZ3jentlCDAwwhMyoLISrxkXTADGp7PH Free Oracle PL/SQL Programming In Hindi Course ============================================== https://www.youtube.com/playlist?list=PLB5DA82419C2D99B6 Free C Programming In Hindi Course ================================== https://www.youtube.com/playlist?list=PLOZ3jentlCDAxKpBLMWogxSdy6BZcsAJq Trips & Tricks Channel ====================== https://www.youtube.com/channel/UCGmLfkuCo-3lHHJXRJ9HUMw Programming in Hindi Channel ============================ https://www.youtube.com/channel/UCudElIDgwNrybeAvXIy1HZQ
Views: 17222 ITORIAN
Query Processing - Block Nested Loop Join, Index Nested Loop Join, Merge Join, Hash Join
 
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Complete set of Video Lessons and Notes available only at http://www.studyyaar.com/index.php/module/28-query-processing-and-optimization Block Nested Loop Join, Index Nested Loop Join, Merge Join, Hash Join http://www.studyyaar.com/index.php/module-video/watch/72-query-processing-more-join-algorithms
Views: 26759 StudyYaar.com
Using Partition Wise Join
 
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This video shows you the use of partition wise join in parallel processing. Copyright © 2012 Oracle and/or its affiliates. Oracle® is a registered trademark of Oracle and/or its affiliates. All rights reserved. Oracle disclaims any warranties or representations as to the accuracy or completeness of this recording, demonstration, and/or written materials (the "Materials"). The Materials are provided "as is" without any warranty of any kind, either express or implied, including without limitation warranties of merchantability, fitness for a particular purpose, and non-infringement.
Oracle Hints,
 
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Oracle Hints, Tips and advice - Hints and tips on various programming languages and development tools.
Views: 3844 018sube
Hash from Morocco to Amsterdam
 
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Views: 41 Badr Hari
Oracle SQL MERGE Statement
 
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https://www.databasestar.com/oracle-merge-sql/ In this video, we’ll learn what the Oracle MERGE statement does and how you can use it. What is the MERGE statement? It’s a statement that lets you either insert or update data in a table - all in a single statement! It’s helpful if you’re using an ETL (Extract Transform Load) process when creating or updating a data warehouse. It’s also helpful when loading data into your own database if you’re not creating a data warehouse. It allows you to prevent duplicate data and ensure you have up-to-date data in your table. The syntax looks like this: MERGE INTO table_name USING table_name ON (condition) WHEN MATCHED THEN update_clause DELETE where_clause WHEN NOT MATCHED THEN insert_clause [LOG ERRORS log_errors_clause reject_limit integer | unlimited ] In this video, I also show an Oracle SQL MERGE statement example, so watch the video to find out more. For more information on the MERGE statement and how you can use it in your queries, read the related article here: https://www.databasestar.com/oracle-merge-sql/
Views: 608 Database Star
Overview Oracle SQL - MERGE Statement
 
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I showed this video, overview MERGE Statement. Created two table and transformed data from first table to second. I think this video shall be interesting, who working with Oracle Database SQL and Data Warehousing.
Views: 7215 Mahir M. Quluzade
Oracle   joins Part -4 by dinesh
 
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Oracle Interview question : what is dual table in oracle
 
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Oracle Interview question : what is dual table in oracle Oracle dual table is automatically created as part of installation in SYS schema. Dual table has one column called DUMMY of VARCHAR2(1) datatype. This table is useful for computing a constant expression with select statement List of all the SQL and PLSQL interview questions https://easy-learning-tech.blogspot.com/p/oracle-sql-plsql-interview-questions.html
Views: 617 Siva Academy
SQL Joins, nested loops and all that in less than 6 minutes
 
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CAPTIONS AVAILABLE - Full transcript (with some screenshots) available for a small fee at http://stores.lulu.com/konagora/. A very brief description of how a database performs a join, based on material from a 2-day seminar.
Views: 76953 roughsealtd
Focus on Hash Joins - Using Database In-Memory
 
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Ask TOM Office Hours demo - Focus On Hash Joins This demonstration reviews how Database In-Memory uses Hash Joins and Bloom filters to provide up to a 10x performance improvement. You can see the full session and join us for more Office Hours sessions at https://asktom.oracle.com/pls/apex
SQL Advanced Videos REUPLOAD #3: Nested Loop Join
 
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I talk about the first of three physical #join operator. We begin with #NestedLoopJoin, the most simple and known physical JOIN Operator in #SQL. This is a re-upload of my old video due to many complaints about the annoying background music. Join my discord: https://discord.gg/5aWE33f
Views: 806 SQL TV
Focus on Hash Joins - Join Groups
 
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Ask TOM Office Hours demo - Focus On Hash Joins This demonstration reviews how Database In-Memory can use Join Groups to further improve hash join performance. You can see the full session and join us for more Office Hours sessions at https://asktom.oracle.com/pls/apex/f?p=100:551:::NO:551:P551_CLASS_ID:3843:
Merge Join Internals in SQL Server
 
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Without additional optimizations, SQL Server's Merge Join algorithm is the fastest physical join operator available. In this episode we dive into the internals to understand how the merge join algorithm works, as well as what it means for our query performance. Subscribe and turn on notifications to never miss a weekly video: https://www.youtube.com/c/bertwagner?sub_confirmation=1 Related blog post about Merge Joins: https://bertwagner.com/2018/12/18/visualizing-merge-join-internals-and-understanding-their-implications/ Be sure to check out part 1 on nested loops joins: https://youtu.be/0arjvMJihJo And part 3 on hash match joins: https://youtu.be/59C8c7p_hII The pessimistic costing of merge joins: https://dba.stackexchange.com/questions/165974/how-to-force-a-merge-join-without-a-hint/166054#166054 Going further in-depth with merge joins: https://sqlserverfast.com/epr/merge-join/ Follow me on Twitter: https://twitter.com/bertwagner
Views: 516 Bert Wagner
What is Index Scan ,Index Seek and Table Scan?
 
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An index scan or table scan is when SQL Server has to scan the data or index pages to find the appropriate records. index seek happens when data is searched among the index.Please watch full video for detail.
Views: 19865 SqlIsEasy
Learn Oracle | How to Use Joins, Cross Join, Cartesian Product in SQL
 
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Pebbles present, Learn Oracle 10g with Step By Step Video Tutorials. Learn Oracle 10g Tutorial series contains the following videos : Learn Oracle - History of Oracle Learn Oracle - What is Oracle - Why do we need Oracle Learn Oracle - What is a Database Learn Oracle - What is Grid Computing Learn Oracle - What is Normalization Learn Oracle - What is ORDBMS Learn Oracle - What is RDBMS Learn Oracle - Alias Names, Concatenation, Distinct Keyword Learn Oracle - Controlling and Managing User Access (Data Control Language) Learn Oracle - Introduction to SQL Learn Oracle - Oracle 10g New Data Types Learn Oracle - How to Alter a Table using SQL Learn Oracle - How to Create a Package in PL SQL Learn Oracle - How to Create a Report in SQL Plus Learn Oracle - How to Create a Table using SQL - Not Null, Unique Key, Primary Key Learn Oracle - How to Create a Table using SQL Learn Oracle - How to Create a Trigger in PL SQL Learn Oracle - How to Delete Data from a Table using SQL Learn Oracle - How to Drop and Truncate a Table using SQL Learn Oracle - How to Insert Data in a Table using SQL Learn Oracle - How to open ISQL Plus for the first time Learn Oracle - How to Open SQL Plus for the First Time Learn Oracle - How to Update a Table using SQL Learn Oracle - How to use Aggregate Functions in SQL Learn Oracle - How to use Functions in PL SQL Learn Oracle - How to use Group By, Having Clause in SQL Learn Oracle - How to Use Joins, Cross Join, Cartesian Product in SQL Learn Oracle - How to use Outer Joins (Left, Right, Full) in SQL Learn Oracle - How to use the Character Functions, Date Functions in SQL Learn Oracle - How to use the Merge Statement in SQL Learn Oracle - How to use the ORDER BY Clause with the Select Statement Learn Oracle - How to use the SELECT Statement Learn Oracle - How to use the Transactional Control Statements in SQL Learn Oracle - How to use PL SQL Learn Oracle - Data Types in PL SQL Learn Oracle - Exception Handling in PL SQL Learn Oracle - PL SQL Conditional Logics Learn Oracle - PL SQL Cursor Types - Explicit Cursor, Implicit Cursor Learn Oracle - PL SQL Loops Learn Oracle - Procedure Creation in PL SQL Learn Oracle - Select Statement with WHERE Cause Learn Oracle - SQL Operators and their Precedence Learn Oracle - Using Case Function, Decode Function in SQL Learn Oracle - Using Logical Operators in the WHERE Clause of the Select Statement Learn Oracle - Using Rollup Function, Cube Function Learn Oracle - Using Set Operators in SQL Learn Oracle - What are the Different SQL Data Types Learn Oracle - What are the different types of Databases Visit Pebbles Official Website - http://www.pebbles.in Subscribe to our Channel – https://www.youtube.com/channel/UCNNjWVsQqaMYccY044vtHJw?sub_confirmation=1 Engage with us on Facebook at https://www.facebook.com/PebblesChennai Please Like, Share, Comment & Subscribe
Views: 3845 Pebbles Tutorials
JSON in the Oracle Database: Auto-Generate Views and Virtual Columns
 
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In part 2 of the JSON Dataguide series, Beda Hammerschmdt, consulting member of technical staff at Oracle, outlines how to auto-genrate views and virtual columns from JSON data. https://developer.oracle.com/ https://cloud.oracle.com/en_US/tryit
Views: 515 Oracle Developers
14.410 Applications of Join Algorithms, Nested-Loop Join, Index Nested-Loop Join
 
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My book "Patterns in Data Management" is now available both as an ebook or a print book (with color graphics!). See: http://amzn.to/1Ts3rwx This book is not a standard textbook on database techniques. This book was written extending and complementing preexisting educational videos (including this one). Video for my inverted classroom "Database Systems". The complete list of videos, slides, and additional material is (will be) available at http://datenbankenlernen.de Computer Science, Saarland University: Bachelor (in German): http://www.cs.uni-saarland.de/index.p... Master (in English): http://www.cs.uni-saarland.de/index.p... Ph.D./Grad School: http://gradschool.cs.uni-saarland.de/
Database Design 39 - Indexes (Clustered, Nonclustered, Composite Index)
 
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This video covers the basics of indexes. Indexing is an extremely important step of database design. Without Indexes database queries can take a substantial amount of time and hog system resources. The main two classifications of indexes are clustered and non-clustered indexes. Clustered indexes are usually the primary key and determine how the data is actually stored in the table. These are the fastest and most effective. Non-clustered indexes sort a reference to data that is still fast but doesn't actually determine how the data is structured. The best tip I can give you is to use indexes but don't over use them. Having loads of indexes on columns that are barely ever in a where clause or join can bog down the database. This is because every time the table is updated the index must also be updated! When a database looks through a table for certain where conditions on a column that does not have an index, it does an entire table scan. This is not a good practice for large databases (or even small databases but not as bad). With an index the database will do an index seek and quickly find the data you are looking for. Composite indexes consist of two or more columns within one index. Use these when you plan on using the two columns together for a database query WHERE clause. Learn more about indexes here: https://www.calebcurry.com/blogs/database-design/introduction-to-indexes Donate!: http://bit.ly/DonateCTVM2. Courses for Download: http://www.udemy.com/u/calebcurry/ (Use the coupon code "YouTubeDiscount" without the quotes) Facebook: http://www.facebook.com/CalebTheVideoMaker Google+: https://plus.google.com/+CalebTheVideoMaker2 Twitter: http://Twitter.com/calebCurry Subscribe (it's free!): https://www.youtube.com/channel/UCZUyPT9DkJWmS_DzdOi7RIA?sub_confirmation=1 Amazing Web Hosting - http://bit.ly/ccbluehost (The best web hosting for a cheap price!)
Views: 95860 Caleb Curry
SQL * Loader Tutorial 3: SQL Loader  Conventional and Direct Paths
 
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SQL * Loader Tutorial 3: SQL Loader Conventional and Direct Paths Difference Between Conventional and Direct path loading in SQL * Loader SQL Tutorial SQL Tutorial for beginners PLSQL Tutorial PLSQL Tutorial for beginners PL/SQL Tutorial PL SQL Tutorial PL SQL Tutorial for beginners PL/SQL Tutorial for beginners Oracle SQL Tutorial
Views: 1600 TechLake
Advanced or intelligent joins in sql server - Part 13
 
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In this video we will learn 1. Advanced or intelligent joins in SQL Server 2. Retrieve only the non matching rows from the left table 3. Retrieve only the non matching rows from the right table 4. Retrieve only the non matching rows from both the left and right table Text version of the video http://csharp-video-tutorials.blogspot.com/2012/08/advanced-joins-part-13.html Slides http://csharp-video-tutorials.blogspot.com/2013/08/part-13-advanced-joins.html All SQL Server Text Articles http://csharp-video-tutorials.blogspot.com/p/free-sql-server-video-tutorials-for.html All SQL Server Slides http://csharp-video-tutorials.blogspot.com/p/sql-server.html All Dot Net and SQL Server Tutorials in English https://www.youtube.com/user/kudvenkat/playlists?view=1&sort=dd All Dot Net and SQL Server Tutorials in Arabic https://www.youtube.com/c/KudvenkatArabic/playlists
Views: 326611 kudvenkat
Joins in Oracle (Tested in Oracle 12c)
 
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Learn various SQL syntax of joins in ORACLE.
Views: 356 Vinay Singh
What to choose for performance   SubQuery or Joins   Part 62
 
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Text version of the video http://csharp-video-tutorials.blogspot.com/2013/01/what-to-choose-for-performance.html Slides http://csharp-video-tutorials.blogspot.com/2013/09/part-62-what-to-choose-for-performance.html All SQL Server Text Articles http://csharp-video-tutorials.blogspot.com/p/free-sql-server-video-tutorials-for.html All SQL Server Slides http://csharp-video-tutorials.blogspot.com/p/sql-server.html All Dot Net and SQL Server Tutorials in English https://www.youtube.com/user/kudvenkat/playlists?view=1&sort=dd All Dot Net and SQL Server Tutorials in Arabic https://www.youtube.com/c/KudvenkatArabic/playlists What to choose for performance - SubQuery or Joins According to MSDN, in sql server, in most cases, there is usually no performance difference between queries that uses sub-queries and equivalent queries using joins. For example, on my machine I have 400,000 records in tblProducts table 600,000 records in tblProductSales tables The following query, returns, the list of products that we have sold atleast once. This query is formed using sub-queries. When I execute this query I get 306,199 rows in 6 seconds Select Id, Name, Description from tblProducts where ID IN ( Select ProductId from tblProductSales ) At this stage please clean the query and execution plan cache using the following T-SQL command. CHECKPOINT; GO DBCC DROPCLEANBUFFERS; Go DBCC FREEPROCCACHE; GO Now, run the query that is formed using joins. Notice that I get the exact same 306,199 rows in 6 seconds. Select distinct tblProducts.Id, Name, Description from tblProducts inner join tblProductSales on tblProducts.Id = tblProductSales.ProductId Please Note: I have used automated sql script to insert huge amounts of this random data. Please watch Part 61 of SQL Server tutorial, in which we have discussed about this automated script. According to MSDN, in some cases where existence must be checked, a join produces better performance. Otherwise, the nested query must be processed for each result of the outer query. In such cases, a join approach would yield better results. The following query returns the products that we have not sold atleast once. This query is formed using sub-queries. When I execute this query I get 93,801 rows in 3 seconds Select Id, Name, [Description] from tblProducts where Not Exists(Select * from tblProductSales where ProductId = tblProducts.Id) When I execute the below equivalent query, that uses joins, I get the exact same 93,801 rows in 3 seconds. Select tblProducts.Id, Name, [Description] from tblProducts left join tblProductSales on tblProducts.Id = tblProductSales.ProductId where tblProductSales.ProductId IS NULL In general joins work faster than sub-queries, but in reality it all depends on the execution plan that is generated by SQL Server. It does not matter how we have written the query, SQL Server will always transform it on an execution plan. If sql server generates the same plan from both queries, we will get the same result. I would say, rather than going by theory, turn on client statistics and execution plan to see the performance of each option, and then make a decision. In a later video session we will discuss about client statistics and execution plans in detail.
Views: 87995 kudvenkat
SQL Database Fundamentals: 09.1 Demo: Clustered and Non-Clustered Indexes
 
06:15
Would you like to learn the basics of relational databases? Join us for this look at SQL Database fundamentals, along with those of database management systems and database components. Get an in-depth introduction to the terminology, concepts, and skills you need to understand database objects, administration, security, and management tools. Plus, explore T-SQL scripts, database queries, and data types. Start with a look at creating tables, inserting data, and querying data in tables. Then, learn about data manipulation, optimize database performance, and work with non-relational data. Get practical help on basic database administration, including installation and configuration, backup and restore, security, monitoring, and maintenance. Take this SQL Database tutorial to prepare for additional online courses for database administrators (DBAs), developers, data scientists, and big data specialists. Check it out! 1 | Introduction to Databases View a course introduction, and get started with databases. 2 | Getting Started with Tables Get an introduction to concepts and techniques for creating tables, inserting data, and querying data in tables. 3 | Working with Data in Tables Learn about data manipulation using Transact-SQL (T-SQL), including INSERT, UPDATE, and DELETE. Explore wrapper objects, such as views and stored procedures. 4 | Optimizing Database Performance Get an introduction to terminology and concepts for optimizing database performance by using indexes. 5 | Working with Non-Relational Data Explore additional types of data that can be used in modern databases, including XML and JSON. 6 | Basic Database Administration Learn about terminology and concepts for basic database administration, including installation and configuration, backup and restore, security, monitoring, and maintenance.
A Story of Indexes and Full Table Scans: Finding All the Red Sweets Part 1
 
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"Why isn't Oracle using my index?!" is a common question people have when tuning SQL queries. In this episode Chris compares two methods for finding all the red candies from party bags he's prepared. He shows how these are like a full table scan and an index range scan. He goes on to compare the performance of these two approaches. He shows when a full table scan becomes more efficient than an index range scan and vice versa. ============================ The Magic of SQL with Chris Saxon Copyright © 2015 Oracle and/or its affiliates. Oracle is a registered trademark of Oracle and/or its affiliates. All rights reserved. Other names may be registered trademarks of their respective owners. Oracle disclaims any warranties or representations as to the accuracy or completeness of this recording, demonstration, and/or written materials (the “Materials”). The Materials are provided “as is” without any warranty of any kind, either express or implied, including without limitation warranties or merchantability, fitness for a particular purpose, and non-infringement.
Views: 8127 The Magic of SQL
CSE562-2015-Lecture 14-Join Algorithms
 
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CSE562-2015-Lecture 14-Join Algorithms
Views: 946 Oliver Kennedy
Oracle Tutorial || Oracle|Adv Sql | Partitioned Table Part - 2 by basha
 
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SQL Server Merge Join
 
12:00
SQL Server Merge Join
Views: 3481 Fabiano Amorim
SQL Server 15 - Composite Key
 
07:57
An interesting thing you can do with primary keys is that you can make a combination of columns the primary key. This is important when more than one column is required to make something unique. In an intermediary table, instead of having an association ID, we can have the combination of two rows as the primary key. This is known as either a compound or composite primary key. In the situation of using natural keys, composite keys are more common. For example, you could have a shopping website that allows multiple people from the same household to use a certain coupon you sent out. In this situation, you could use the address and the person's name as the natural primary key. What is the difference between a primary key and a column that has UNIQUE and NOT NULL constraints? The primary difference has to do with indexing. When you create a primary key, the column will automatically be indexed. This means that working with this data is faster. Now, we haven't talked a ton on indexes, but by default this will create a clustered index. UNIQUE constraints are also indexed by default, but the default index for a UNIQUE constraint is a non-clustered index. Clustered indexes determine how the table is actually stored, while non clustered indexes will make a sorted list that has reference to the data. This is not a life changing difference because these can actually be changed. We will discuss all of the details of indexing in future videos. As a side note, the IDENTITY column is not automatically indexed. How do we reference primary keys? This requires what is known as a foreign key, which we will discuss in the next video. ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Support me! http://www.patreon.com/calebcurry Subscribe to my newsletter: http://bit.ly/JoinCCNewsletter Donate!: http://bit.ly/DonateCTVM2. ~~~~~~~~~~~~~~~Additional Links~~~~~~~~~~~~~~~ More content: http://CalebCurry.com Facebook: http://www.facebook.com/CalebTheVideoMaker Google+: https://plus.google.com/+CalebTheVideoMaker2 Twitter: http://twitter.com/calebCurry Amazing Web Hosting - http://bit.ly/ccbluehost (The best web hosting for a cheap price!)
Views: 10576 Caleb Curry
Cost Based Optimizer Framework for Spark SQL: Spark Summit East talk by Ron Hu/Zhenhua Wang
 
31:42
In Spark SQL’s Catalyst optimizer, many rule based optimization techniques have been implemented, but the optimizer itself can still be improved. For example, without detailed column statistics information on data distribution, it is difficult to accurately estimate the filter factor, cardinality, and thus output size of a database operator. With the inaccurate and/or misleading statistics, it often leads the optimizer to choose suboptimal query execution plans. We added a Cost-Based Optimizer framework to Spark SQL engine. In our framework, we use Analyze Table SQL statement to collect the detailed column statistics and save them into Spark’s catalog. For the relevant columns, we collect number of distinct values, number of NULL values, maximum/minimum value, average/maximal column length, etc. Also, we save the data distribution of columns in either equal-width or equal-height histograms in order to deal with data skew effectively. Furthermore, with the number of distinct values and number of records of a table, we can determine how unique a column is although Spark SQL does not support primary key. This helps determine, for example, the output size of join operation and multi-column group-by operation. In our framework, we compute the cardinality and output size of each database operator. With reliable statistics and derived cardinalities, we are able to make good decisions in these areas: selecting the correct build side of a hash-join operation, choosing the right join type (broadcast hash-join versus shuffled hash-join), adjusting multi-way join order, etc. In this talk, we will show Spark SQL’s new Cost-Based Optimizer framework and its performance impact on TPC-DS benchmark queries.
Views: 916 Spark Summit
Oracle SQL Tuning - Explain Plan Lies?
 
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Do you use EXPLAIN PLAN to tune Oracle SQL? Does it always "tell the truth", or does it "lie". (Maybe it's not the whole truth!) In this free tutorial from SkillBuilders' Oracle Certified Master John Watson, you will learn why the execution plan generated by EXPLAIN PLAN can be misleading and what to do about it. After a brief lecture, John demonstrates exactly why. You'll hear about dynamic sampling, adaptive cursor sharing (11g), adaptive execution plans (12c) and of course, bind variables. John demonstrates how bind variables cause misleading execution plans using dbms_xplan.display and dbms_xplan.display_cursor. To get the most from this tutorial, you should have some understanding of hard parse, soft parse, cardinality, histograms. See all SkillBuilders FREE Oracle Database tutorials at http://www.skillbuilders.com/free-oracle-tutorials.
Views: 3417 SkillBuilders
THAT IS NOT ME!!! ORACLE CRYPTO INTELLIGENCE REPORT LIES!!!
 
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What Do I Talk About in This Video? - I Will Never Scam You or Steal Someones Identity!!! - Do Not Listen to the Oracle Frank's Lies!!! - Watch My Entire Video To See It All! "Bits are a Way to Pay and Invest in Things Online" - Bitsaway1 To watch funny parody videos and for future parody videos please subscribe to Crypto Connect! :) https://www.youtube.com/channel/UCWaWxQHIlF9FwQvDH-MGy-w *FYI* - I receive a small commission if you use my links. You will also receive a commission if anyone uses your sign up links.* You will get your own links after/if you sign up. Disclosure: Remember there is risk involved in trading, mining, lending and investing in cryptocurrency. Bitsaway1 does not take any responsibility for any losses that may occur. Bitsaway1 does not give financial advice. This video is for informational purposes only. To Bitsaway1's best knowledge these platforms and/or tokens are utility based, however that can not be guaranteed. Please do your own research before investing. Utility ERC20 ETH Token Crypto Currency Platform: Arbitraging ARB - Join My Team: https://www.arbitraging.co/platform/register/affiliate/nE8ULvZq Join The Arbitraging (ARB) Telegram Channel for 24/7 Support! https://t.me/arbofficial For Beginners Use Meta Mask to Store Your ETH and Tokens: https://metamask.io/ Use MEW to Send Tokens: https://www.myetherwallet.com Waiting For MBOT? Watch Adam Hole use MBOT! https://www.youtube.com/watch?v=D12KMkBRQP8&t=465s ARB Listed on CMC & Get Faster Updates With ARB Price Tracker on Telegram Price Bot! https://coinmarketcap.com/currencies/arbitrage/ https://t.me/ARB_Price_Bot Non Arbitraging: Crystal Token - BitMEX Trading Bot in Development Great Potential! https://www.crystaltoken.co/register/Bitsaway1 Crystal Core Communtiy: https://t.me/CrystalCoreCommunity Trade on BitMEX Save 10% on fees for 6 months with my Link: https://www.bitmex.com/register/eQkIbG SportsBook Get a Deposit Bonus with my Link: https://www.bovada.lv/welcome/P1332F34/join?extcmpid=rafcopy ICO: https://www.dataeum.io/ ICO POOL: https://t.me/Action_Pool Other Things: Bitsaway1's Best List: https://goo.gl/karLE4 Personal Development: Once you get started in any of these cryptocurrency programs, dApps or ICO's above, you will want to have the correct mindset long term. Please watch this Law of Attraction Video in order to gain that mind prospective. It has done great things to help me personally. You should listen to this regardless of what you choose to invest in, it's my gift from one intellectual person to another. Take care and enjoy! The Law of Attraction: https://www.youtube.com/watch?v=jTGZQgdr0ag&t=4692s Karma Jar - Thank you for your support by joining the team with my referral link, clicking the thumbs up, commenting or donating ETH :) Donate ETH: 0x3C84c7285623e7F7539fF60D6f3Cf1c3CCcd868F https://etherscan.io/address/0x3c84c7285623e7f7539ff60d6f3cf1c3cccd868f TAGS: Bitcoin Calculator Bit Pay today News Coins Bitconnect hyip monitors programs monitor investment payment principal resources bitcoin investing compound interest bitcoin faucet free bitcoin bitcoin gambling affinity mining ICO ICO’s mining rig BTC ETH LTC XRP BCC BCH compound interest spread sheet bot hash eth connect fail segwit 2x bitcoin fork paying scam hack what happened information bitcoin talk forum post pre mine mined new ico's ico 10x 50x 100x lending platform high risk high return new ico gambling lottery mega millions blockchain system decentralized affiliate lending minergate passive income auto pilot reinvest compounding grow bitcoin to review list sort rank best worst ranking influencers spammers spam crystal token ceo silicon latex mask powh3d powh p3d game strategy prediction smart contract decentralized future market cap arbitraging prediction price strategy bitcoin hashrate spike ethereum proof of stake pooh clone price spike kenny pachecho developer transparent transparency shows face gary gibs craig grant arti intel short term long who will win Arbitraging wpi crypto country boy ccb clones evolution1 ARB Exchange Live price prediction mbot abot release date live internal exchange transparent company blockchain erc20 decentralized review test deposit withdraw interest charity smart contract Arbitrage Trading ARB clones evolution1 cashwithbob on CoinExchange Internal Exchange steem steemit gochain mandala red markets arbitrage trading bot utility token decentralized transparent Bitcoin btc world reserve currency coin gecko crypto crow arbitao scam ponzi mbot deadline when is mbot beta test manual arbitrage trading bot profit earn trade hodl crypto austin crypto face bot connect scam crypto gemz crypto soldier adam hole bitcoin gold etf similar chart pattern bitmex trading abot rules fully explained CRYPTO INTELLIGENCE REPORT ORACLE HOW HE SCAMS! EXPOSED!
Views: 471 Bitsaway1
Using Hint Parallel
 
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Cơ sở dữ liệu nâng cao
Views: 266 h2a
Oracle Tuning Tutorial - Long Full Table Scans Part 2 of 5
 
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See all 5 tutorials, free, at SkillBuilders.com/OracleTuningFullTableScans Number Eight in the "Performance tuning Guide, Top Ten Mistakes Found in Oracle Systems" Long Full Table Scans is described as follows: "Long full table scans for high-volume or interactive online operations could indicate poor transaction design, missing indexes, or poor SQL optimization. Long table scans, by nature, are I/O intensive and unscalable." Actually, there are many cases where the full table scan is your friend. But whether they are good or bad for the performance of the SQL that invokes them, there may be implications (for better or for worse) for performance of other statements. This is particularly true in 11.2.x, where direct reads are possible for serial scans, and indirect reads are possible for parallel scans. Do you trust the optimizer? The change in behaviour in recent releases may need some investigation, and revisiting older code. As always with a SkillBuilders Tutorial, we shall illustrate the issues and solutions with live demonstrations using release 11g (11.2.0.3). Audience: Operating System Administrators, Storage Administrators, Oracle Administrators and Management responsible for Storage and / or Oracle Databases.
Views: 4556 SkillBuilders
Indexes in sql server   Part 35
 
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In this video we will learn about What are indexes Why do we use indexes Advantages of indexes These concepts are applicable to sql server 2000, 2005 and 2008 Text version of the video http://csharp-video-tutorials.blogspot.com/2012/09/indexes-in-sql-server-part-35.html Slides http://csharp-video-tutorials.blogspot.com/2013/08/part-35-indexes.html All SQL Server Text Articles http://csharp-video-tutorials.blogspot.com/p/free-sql-server-video-tutorials-for.html All SQL Server Slides http://csharp-video-tutorials.blogspot.com/p/sql-server.html All Dot Net and SQL Server Tutorials in English https://www.youtube.com/user/kudvenkat/playlists?view=1&sort=dd All Dot Net and SQL Server Tutorials in Arabic https://www.youtube.com/c/KudvenkatArabic/playlists
Views: 387019 kudvenkat
Oracle Sql: Lecture 46: Full Outer Join
 
02:27
Oracle Sql: Full Outer Join
Views: 516 Oracle SQL
CRYPTO INTELLIGENCE REPORT ORACLE HOW HE SCAMS! EXPOSED!
 
07:03
What Do I Talk About in This Video? - Oracle Strikes Again! 3rd Scam in a Week!? - How He Scams You Without You Knowing! - Stop Losing Money From His Scams! - Thank You To CRYPTO NEWF! https://www.youtube.com/watch?v=n-JoV-173TQ - Watch My Entire Video To See It All! "Bits are a Way to Pay and Invest in Things Online" - Bitsaway1 To watch funny parody videos and for future parody videos please subscribe to Crypto Connect! :) https://www.youtube.com/channel/UCWaWxQHIlF9FwQvDH-MGy-w *FYI* - I receive a small commission if you use my links. You will also receive a commission if anyone uses your sign up links.* You will get your own links after/if you sign up. Disclosure: Remember there is risk involved in trading, mining, lending and investing in cryptocurrency. Bitsaway1 does not take any responsibility for any losses that may occur. Bitsaway1 does not give financial advice. This video is for informational purposes only. To Bitsaway1's best knowledge these platforms and/or tokens are utility based, however that can not be guaranteed. Please do your own research before investing. Utility ERC20 ETH Token Crypto Currency Platform: Arbitraging ARB - Join My Team: https://www.arbitraging.co/platform/register/affiliate/nE8ULvZq Join The Arbitraging (ARB) Telegram Channel for 24/7 Support! https://t.me/arbofficial For Beginners Use Meta Mask to Store Your ETH and Tokens: https://metamask.io/ Use MEW to Send Tokens: https://www.myetherwallet.com Waiting For MBOT? Watch Adam Hole use MBOT! https://www.youtube.com/watch?v=D12KMkBRQP8&t=465s ARB Listed on CMC & Get Faster Updates With ARB Price Tracker on Telegram Price Bot! https://coinmarketcap.com/currencies/arbitrage/ https://t.me/ARB_Price_Bot Non Arbitraging: Crystal Token - BitMEX Trading Bot in Development Great Potential! https://www.crystaltoken.co/register/Bitsaway1 Crystal Core Communtiy: https://t.me/CrystalCoreCommunity Trade on BitMEX Save 10% on fees for 6 months with my Link: https://www.bitmex.com/register/eQkIbG SportsBook Get a Deposit Bonus with my Link: https://www.bovada.lv/welcome/P1332F34/join?extcmpid=rafcopy ICO: https://www.dataeum.io/ ICO POOL: https://t.me/Action_Pool Other Things: Bitsaway1's Best List: https://goo.gl/karLE4 Personal Development: Once you get started in any of these cryptocurrency programs, dApps or ICO's above, you will want to have the correct mindset long term. Please watch this Law of Attraction Video in order to gain that mind prospective. It has done great things to help me personally. You should listen to this regardless of what you choose to invest in, it's my gift from one intellectual person to another. Take care and enjoy! The Law of Attraction: https://www.youtube.com/watch?v=jTGZQgdr0ag&t=4692s Karma Jar - Thank you for your support by joining the team with my referral link, clicking the thumbs up, commenting or donating ETH :) Donate ETH: 0x3C84c7285623e7F7539fF60D6f3Cf1c3CCcd868F https://etherscan.io/address/0x3c84c7285623e7f7539ff60d6f3cf1c3cccd868f TAGS: Bitcoin Calculator Bit Pay today News Coins Bitconnect hyip monitors programs monitor investment payment principal resources bitcoin investing compound interest bitcoin faucet free bitcoin bitcoin gambling affinity mining ICO ICO’s mining rig BTC ETH LTC XRP BCC BCH compound interest spread sheet bot hash eth connect fail segwit 2x bitcoin fork paying scam hack what happened information bitcoin talk forum post pre mine mined new ico's ico 10x 50x 100x lending platform high risk high return new ico gambling lottery mega millions blockchain system decentralized affiliate lending minergate passive income auto pilot reinvest compounding grow bitcoin to review list sort rank best worst ranking influencers spammers spam crystal token ceo silicon latex mask powh3d powh p3d game strategy prediction smart contract decentralized future market cap arbitraging prediction price strategy bitcoin hashrate spike ethereum proof of stake pooh clone price spike kenny pachecho developer transparent transparency shows face gary gibs craig grant arti intel short term long who will win Arbitraging wpi crypto country boy ccb clones evolution1 ARB Exchange Live price prediction mbot abot release date live internal exchange transparent company blockchain erc20 decentralized review test deposit withdraw interest charity smart contract Arbitrage Trading ARB clones evolution1 cashwithbob on CoinExchange Internal Exchange steem steemit gochain mandala red markets arbitrage trading bot utility token decentralized transparent Bitcoin btc world reserve currency coin gecko crypto crow arbitao scam ponzi mbot deadline when is mbot beta test manual arbitrage trading bot profit earn trade hodl crypto austin crypto face bot connect scam crypto gemz crypto soldier adam hole bitcoin gold etf similar chart pattern bitmex trading abot rules fully explained CRYPTO INTELLIGENCE REPORT ORACLE HOW HE SCAMS! EXPOSED!
Views: 2158 Bitsaway1
Efficient Function Calls From SQL (Part 2) : The DETERMINISTIC Hint
 
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The second part of a mini-series of videos showing how you can improve the performance of function calls from SQL. In this episode, we take a look at the DETERMINISTIC hint. For more information see: https://oracle-base.com/articles/misc/efficient-function-calls-from-sql#deterministic-hint Website: https://oracle-base.com Blog: https://oracle-base.com/blog Twitter: https://twitter.com/oraclebase Cameo by Dana Singleterry : Blog: https://blogs.oracle.com/dana/ Twitter: https://twitter.com/dsingleterry Cameo appearances are for fun, not an endorsement of the content of this video.
Views: 2325 ORACLE-BASE.com
Oracle SQL Tuning - Data Warehouse Star Transformations, Even with Standard Edition!
 
15:55
Joining large tables in a Data Warehouse will often generate star transformations in the execution plan. So, what is a star transformation? And, what if you don't have Enterprise Edition - so you can't build Bitmap Indexes? In this free tutorial, Oracle Master John Watson will demonstrate star transformations in EE and how to make them work even without bitmap indexes - Standard Edition can save you thousands in licensing fees! This is Part 3 of a 5 Part series. View all video tutorials at SkillBuilders.com/EqualSQL.
Views: 4580 SkillBuilders
Tutorial 53 : NESTED TABLE || Collections in PL SQL
 
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Hi Friends, Here we are learning about NESTED TABLE, Collection in PL SQL. Hope the concept and example would be clear to you. For any confusion or doubt, let me know in comment box. Link (Introduction to Collection in PL SQL || Nested Tables || VARRAYs || Associative Arrays) : https://youtu.be/2giFZeEQqXY Link (User Defined Exception || RAISE_APPLICATIN_ERROR || SQLERRM) : https://youtu.be/RTq8VK7Vodw Link (Application from where you can get all code detail and example) : https://apex.oracle.com/pls/apex/f?p=ysc About Me : https://about.me/saurabhsagarsinha Thanks, Happy Coding.
Views: 240 YourSmartCode
How to Install Oracle! !! Database Training
 
01:50
For Complete Database Training Details Visit: http://www.qaonlinetraining.com http://infotek-solutions.com/ Delivery Method: Instructor led classroom and Online Training supported by world class Learning management system which automate all flow of lectures, videos, assignments, forums, quizzes and interview process. Class Schedule: Week-ends and Weekdays Contact Us: 571-437-0652, Mail Us: [email protected] Training Locations at : Ashburn / Fairfax / Maryland Office Address: 12801 Worldgate Dr #500, Herndon, VA 20170 Overview of Oracle DBA Training Oracle as a flexible, complex & robust RDBMS The evolution of hardware and the relation to Oracle Different DBA job roles (VP of DBA, developer DBA, production DBA, database babysitter) The changing job role of the Oracle DBA Environment management (network, CPU, disk and RAM) Instance management (managing SGA regions) Oracle table and index management Instance Architecture Instance vs. database Components of an instance Creating the OFA file structure ($DBA, bdump, udump, pfile) Oracle Instance Internals SGA vs. PGA Background processes Interfaces with server and disk I/O subsystem Using SQL*Plus for DBA management Connecting and executing SQL Using the “as sysdba” syntax Overview of SQL*Plus DBA commands (startup, etc.) Control file, UNDO and REDO management Explaining the use of control files Listing the Contents of the control File File locations for control Files Obtaining Control File Information Listing control file contents Displaying and Creating Undo segments Altering Undo Segments Determining the Number and Size of Undo segments Understanding flashback technology Troubleshooting Undo – snapshot too old Redo log concepts for recovery Online redo log (log_buffer) online redo logs and archived redo logs Oracle ARCH and LGWR background processes Redo log dictionary queries Redo log switch frequency and performance Multiplexing the Online Redo Log Files Archiving the Oracle Redo Logs Recovery using the redo log files User and privilege management The three security methods (VPD, Grant security/role-based security, grant execute) Creating New Database Users Using pre-spawned Oracle connections Auditing User activity Identifying System and Object Privileges Granting and Revoking Privileges Creating and Modifying Roles Displaying user security Information from the Data Dictionary Overview of instance management Parameter files (init.ora, listener.ora, tnsnames.ora) Rules for sizing SGA components Automated Oracle memory management (AMM) Initialization file management Creating the init.ora file Using spfile Displaying init.ora values with v$parameter Oracle*Net configuration Creating the listener.ora file Creating the tnsnames.ora file Data buffer configuration & sizing Inside the Oracle data buffers Using the KEEP pool Monitoring buffer effectiveness Using multiple blocksizes (multiple buffer pools) Shared pool and PGA configuration & Sizing Shared pool concepts and components Understanding the library cache Relieving shared pool contention Overview of PGA for sorting and hash joins Using sort_area_size, hash_area_size and pga_aggregate_target Troubleshooting network connectivity Verifying network connectivity with ping and tnsping Testing database links Oracle tables, views and materialized views Types of Oracle tables (regular, IOT, sorted hash clusters, nested tables) Oracle Views Oracle materialized views Oracle indexes Types of Oracle indexes (b-tree, bitmap, bitmap join index) Creating B*-Tree, bitmap and function-based Indexes Function-based indexes Finding indexing opportunities Index maintenance Oracle constraints Costs & benefits of constraints Types of Oracle indexes constraints (check, not null, unique, PK, FK) Cascading constraints Schema, File & tablespace management Describing the relationship between data files, tablespaces and table Understanding Oracle segments Creating Tablespaces – using the autoextend option Changing the Size of Tablespaces – alter database datafile command Defining a TEMP tablespace Changing the default storage Settings for a tablespace Review of the storage parameters in DBA views (ASM, ASSM, pctfree, pctused and freelists). Monitoring Chained rows (fetch continued rows) Monitoring Insert and Update performance (pctused, APPEND) Database Maintenance Reason for reorgs – chained rows, imbalanced freelists Reorganizing Tables using Export and Import Using CTAS to reorganize data Index rebuilding Backup & Recovery overview (hot & cold Backups, RMAN, block change tracking) Oracle DBA Utilities Data pump (Imp and exp utilities) SQL*Loader LogMiner Flashback DataGuard Oracle DBA utilities – Oracle dbms packages (dbms_redefinition)
4  Unfolding | Set Based Approach | How join works internally
 
08:51
In this video, we are going to understand how join works internally. If you have a good understanding of joins and how it works, you can skip this video and move to the next video in this series. If not, lets start understanding the joins. You can download the script used in this example from my website link. http://www.sqlrelease.com/unfolding-set-based-approach-join-works-internally-episode-4 Connect with us: Facebook: https://www.facebook.com/sqlrelease Twitter: https://twitter.com/ergkranjan Google+: https://plus.google.com/+Sqlreleasepage LinkedIn: http://in.linkedin.com/in/ergkranjan Website: http://www.sqlrelease.com
Views: 2110 sqlrelease
PART 5.7 Clustering Index | DBMS HINDI |
 
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This video contains the basic concepts of Clustering Index and will help students in various competitive exams like GATE , NET, PSU'S etc Following are the important topics of dbms ER‐model - entity–relationship model, strong entity set, weak entity set, single valued attribute, multivalued attribute, stored attribute, derived attribute, simple attribute composite attribute, weak relationship, strong relationship, mapping, cardinality ratios, discriminator attribute, fan trap, chasm trap Relational model – relational table, column, domain, row, tuple, relational algebra – selection, projection, union, intersection, set difference, Cartesian product, natural join, left outer join, right outer join, complete outer join, theta join, division operator, nested query, safe query tuple calculus – tuple relational calculus, domain relational calculus, SQL – select, from, where, order by, group by, max, min, avg, count, sum, having, Integrity constraints – super key, candidate key, primary key, foreign key, alternate key, secondary key, surrogate key normal forms – first normal form, second normal form, third normal form, bcnf, 4nf, 5nf, functional dependency, minimal cover, canonical collection, multivalued functional dependency, dependency preserving, lossy and lossless decomposition. File organization – indexing, B, B+ trees, key attribute, anchor attribute, primary indexing, secondary indexing, clustered indexing, multilevel indexing, block pointer, tree pointer, record pointer, top down search, sequential search, range query, index file, ordering, non-ordering Transactions and concurrency control- transaction, acid properties, atomicity, consistency, isolation, durability, life cycle of a transaction, active state, partially committed state, committed state, abort, rollback, terminated, phantom read, dirty read, unrepeatable read, lost update problem, conflict serializability, view serializability, irrecoverable schedule, cascading rollback, recoverable schedule, cascadless schedule. Lock based protocol, two phase locking, exclusive lock, shared lock, growing phase, shrinking phase, conservative two-phase locking, rigorous two phase locking, strict two phase locking, time stamping, time stamp, read, write, deadlock, granularity, tree based protocol,
Views: 75474 KNOWLEDGE GATE