Search results “Oracle hints index range scan”
Indexes in Oracle :Index Scan Methods :Part 2
The Video Explains when should you create indexes. The difference between Simple and composite Index, Relevance of order in composite indexes and Index Scan Methods in detail. 1.Index Unique scan 2.Index Range Scan 3. Index Skip Scan 4. Fast full Index Scan 5. Full Index Scan If you have any questions just drop in a comment
Views: 6775 Tech Coach
Oracle Hints Tutorial for improving performance
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: 6505 TechLake
07 06 Index Skip Scan Operations
Views: 826 oracle ocm
A Story of Indexes and Full Table Scans: Finding All the Red Sweets Part 1
"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: 7974 The Magic of SQL
Why Isn't My Query Using an Index?
“Why isn’t my query using an index?” is a common question people have when tuning SQL. This session explores the factors that influence the optimizer’s decision to answer this question. It does so by comparing fetching rows from a database table to finding all the red M&Ms a packet, and contrasts using an index range scan and a full table scan. It also introduces the concepts of blocks and the clustering factor. The session offers a discussion of how these affect the optimizer's calculations, and includes a demo of how these concepts work in practice using real SQL queries. This session is intended for developers who want to learn the basics of how the optimizer chooses between an index range or full table scan. Speaker: Chris Saxon
Views: 273 Oracle Developers
Oracle Hints explained
Oracle Hints
Views: 425 Telugu Blast News
What is REVERSE INDEX? What does REVERSE INDEX mean? REVERSE INDEX meaning & explanation
What is REVERSE INDEX? What does REVERSE INDEX mean? REVERSE INDEX meaning - REVERSE INDEX definition - REVERSE INDEX explanation. Source: Wikipedia.org article, adapted under https://creativecommons.org/licenses/by-sa/3.0/ license. SUBSCRIBE to our Google Earth flights channel - https://www.youtube.com/channel/UC6UuCPh7GrXznZi0Hz2YQnQ Database management systems provide multiple types of indexes to improve performance and data integrity across diverse applications. Index types include b-trees, bitmaps, and r-trees. In database management systems, a reverse key index strategy reverses the key value before entering it in the index. E.g., the value 24538 becomes 83542 in the index. Reversing the key value is particularly useful for indexing data such as sequence numbers, where each new key value is greater than the prior value, i.e., values monotonically increase. Reverse key indexes have become particularly important in high volume transaction processing systems because they reduce contention for index blocks. Reversed key indexes use b-tree structures, but preprocess key values before inserting them. Simplifying, b-trees place similar values on a single index block, e.g., storing 24538 on the same block as 24539. This makes them efficient both for looking up a specific value and for finding values within a range. However if the application inserts values in sequence, each insert must have access to the newest block in the index in order to add the new value. If many users attempt to insert at the same time, they all must write to that block and have to get in line, slowing down the application. This is particularly a problem in clustered databases, which may require the block to be copied from one computer's memory to another's to allow the next user to perform their insert. Reversing the key spreads similar new values across the entire index instead of concentrating them in any one leaf block. This means that 24538 appears on the same block as 14538 while 24539 goes to a different block, eliminating this cause of contention. (Since 14538 would have been created long before 24538, their inserts don't interfere with each other.) Reverse indexes are just as efficient as unreversed indexes for finding specific values, although they aren't helpful for range queries. Range queries are uncommon for artificial values such as sequence numbers. When searching the index, the query processor simply reverses the search target before looking it up. Typically, applications delete data that is older on average before deleting newer data. Thus, data with lower sequence numbers generally go before those with higher values. As time passes, in standard b-trees, index blocks for lower values end up containing few values, with a commensurate increase in unused space, referred to as "rot". Rot not only wastes space, but slows query speeds, because a smaller fraction of a rotten index's blocks fit in memory at any one time. In a b-tree, if 14538 gets deleted, its index space remains empty. In a reverse index, if 14538 goes before 24538 arrives, 24538 can reuse 14538's space.
Views: 775 The Audiopedia
FTS vs Index Scan   Part 1
what is "full table scan in oracle" and "oracle index scan" Small Excerpt from "Oracle performance Tuning Session". http://www.dbvidya.com/oracle-performance-tuning-videos/ [email protected] +91 991 2323 000 Oracle Performance Tuning Online Training : http://www.dbvidya.com/course/performance-tuning-for-dba/ Oracle SQL Performance Tuning Training Online : http://www.dbvidya.com/course/sql-tuning-advanced/ Oracle Performance Tuning Videos Tutorial for DBA and Developers : http://www.dbvidya.com/oracle-performance-tuning-videos/ Oracle AWR Tutorial: http://www.dbvidya.com/course/oracle-awr/ Erwin Tool Online Training : http://www.dbvidya.com/course/erwin-tool/ ER Data Modeling Course : http://www.dbvidya.com/course/er-modeling/ Dimensional Modeling Training Online : http://www.dbvidya.com/course/dimensional-modeling/ Oracle Database Blogs : http://www.dbvidya.com/blog/
Views: 189 DbVidya
Indexing in Oracle :B-Tree,Bitmap Indexing
This Video is the 1st tutorial in the video series Indexing in Oracle , The video series explains in detail, What are indexes?It's types, what index should be used in which scenario and other important thing in basic terminology. Note :You may want to watch the video with a higher playback speed(1.25 if it suits you more)
Views: 13758 Tech Coach
How to understand and use the query optimizer – Couchbase Connect 2016
Every flight has a flight plan. Every query has a query plan. You must have seen its text form, called EXPLAIN PLAN. Query optimizer is responsible for creating this query plan for every query, and it tries to create an optimal plan for every query. In Couchbase, the query optimizer has to choose the most optimal index for the query, decide on the predicates to push down to index scans, create appropriate spans (scan ranges) for each index, understand the sort (ORDER BY) and pagination (OFFSET, LIMIT) requirements, and create the plan accordingly. When you think there is a better plan, you can hint the optimizer with USE INDEX. This talk will teach you how the optimizer selects the indices, index scan methods, and joins. It will teach you the analysis of the optimizer behavior using EXPLAIN plan and how to change the choices optimizer makes. Speaker: Keshav Murthy, Director, Query Development, Couchbase Slideshare: http://www.slideshare.net/Couchbase/how-to-understand-and-use-the-query-optimizer Visit our website for more information: https://www.couchbase.com/
Views: 483 Couchbase
sub partitioning in oracle  or composite partitioning in Oracle RANGE-LIST, RANGE-HASH
sub partitioning in oracle or composite partitioning in Oracle 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: 562 TechLake
Local Vs Global Partitioned Index in Oracle 11g
The Video Explains the difference between Local Partitioned Indexes(Prefixed vs Non Prefixed Indexes). and Global Partitioned Index along with the challenges in maintaining Global partitioned Indexes when the underlying tables partitioned is dropped/truncated/Merged/Moved. Local Partitioned Index Shares the same boundaries as the table and are in the same number as table partitions they are widely used in DSS and DWH systems. While Global Partitioned Index are predominantly used in OLTP systems
Views: 5873 Tech Coach
Oracle Database Indexes: Myths, Tips and Tricks
In this tutorial, OCM John Watson will - via demonstrations - debunk these myths: Myth #1: Oracle Database does not index NULL Myth #2: A search that includes wildcards can't use an index if the wildcard precedes the string. Myth #3: Oracle will not use a function-based index unless the FBI is coded in the predicate. Myth #4: Indexes always help. The more indexes the better. See http://skillbuilders.com/free-oracle-tutorials for gigabytes of free Oracle video tutorials.
Views: 16191 SkillBuilders
When to use Oracle Database Bitmap Indexes Lesson 1
This tutorial will identify some use cases for Oracle bitmap indexes, including some of the more advanced capabilities. See all lessons, free, at http://www.skillbuilders.com/when-to-use-oracle-bitmap-indexes. Indexing your Oracle Database for best performance? There are cases, depending on data structures and queries, where b-tree indexes are not useful (e.g. scan access paths perform inadequately). In these cases, bitmap indexes may be a better solution. Bitmap indexes are a powerful tool, but they need to be used with care. Inappropriate use may cause problems worse than those they solve. The tutorial covers somewhat more advanced cases such as using bitmap join indexes to denormalize a snowflake schema, and to enable star transformations in queries that join fact tables to several dimension tables. This training will benefit any Oracle DBA administering a Data Warehouse or VLDB and "power" developers working in same. Instructor: Oracle Certified Master DBA John Watson, SkillBuilders
Views: 552 SkillBuilders
Partitioning in Oracle - Performance Basics
This is the 2nd video from " Partitioning in Oracle " series, It explains how oracle stores and manages data. What is single Block IO and Multi Block IO ? Why full table scan is better than index access in few cases. The video is very elaborate, I have tried my level best to keep it as simple as possible
Views: 9102 Tech Coach
SQL: Explain Plan for knowing the Query performance
In this tutorial, you'll learn how to compare queries to know the better performance query..
Views: 96143 radhikaravikumar
Oracle Exadata Smart Scan - Limitations and Best Practices
Smart Scan is a wonderful capability, but you don't always get it. It's impossible for many execution plans, and this is a major restriction. If you think about what a Smart Scan actually does, it delivers individual columns, individual rows back to the instance. Now, a buffer cache can accept only blocks. Therefore, Smart Scan cannot possibly put those columns of rows into the buffer cache. It's simply not formatted appropriately. So, a Smart Scan has to return values directly into the session's PGA or, to put it another way, the only access method that can use Smart Scan is direct read. Well, what access methods can use direct read? There are only two, which are table full scan and index fast full scan. Any other access method, typically index range scan, table access by row ID, cannot use a Smart Scan. The second major issue, there are strict limitations of the type of objects that can be accessed through Smart Scan. It really is only heap tables. You can't use indexes. You can't use clusters. You can't use IOTs. Heap tables only. Perhaps hardest to track down and giving sometimes very erratic results is that Smart Scan can be interrupted by various conditions. You've met all the requirements for Smart Scan, directory and so on, got the right execution plan. The Smart Scan starts and then hits something that causes a problem. Issues that we know cause problems are, for instance, read consistency, also delayed block cleanout, change rows. Any of those issues and a few others mean that the storage tier will have to interrupt its Smart Scan, deliver complete blocks into that buffer cache, let your session then do what is necessary to the block, and only then can the Smart Scan proceed. Now, in order to maximize the use of Smart Scan, there may be quite a lot of work. Very often, you'll have to adjust your index structures. Making them invisible is a nice technique there. There are many, many, many parameters that can influence the likelihood of achieving a Smart Scan, and almost inevitably you're going to be rewriting a lot of hint SQL and putting hints in it to get the correct execution plans that can enable a Smart Scan to occur. This is all because of one fundamental problem; the optimizer is not in any way aware of the Exadata. The optimizer develops an execution plan in exactly the way it would without the Exadata storage. The use of Smart Scan, the awareness of Exadata comes at the next level down. The optimizer develops the plan through a normal pass and then passes it through to the SQL execution engine, and it's the SQL execution engine that determines, on a case-by-case basis, whether to use the Smart Scan. This means that you might develop a plan and execute the statement 50 times. Forty-nine times, you get a Smart Scan. The 50th time, for whatever reason, the SQL execution engine decides not to. This can result in somewhat erratic performance.
Views: 1658 SkillBuilders
Query Tuning 101: Access vs. Filter Predicates In Execution Plans
Have you ever wondered what the difference is between the "filter predicates" or "access predicates" steps listed in execution plans - or even what a predicate is? If so, watch this video to find out! 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: 4863 The Magic of SQL
Oracle || Indexes Part-1 by dinesh
DURGASOFT is INDIA's No.1 Software Training Center offers online training on various technologies like JAVA, .NET , ANDROID,HADOOP,TESTING TOOLS ,ADF,INFORMATICA,TABLEAU,IPHONE,OBIEE,ANJULAR JS, SAP... courses from Hyderabad & Bangalore -India with Real Time Experts. Mail us your requirements to [email protected] so that our Supporting Team will arrange Demo Sessions. Ph:Call +91-8885252627,+91-7207212428,+91-7207212427,+91-8096969696. http://durgasoft.com http://durgasoftonlinetraining.com https://www.facebook.com/durgasoftware http://durgajobs.com https://www.facebook.com/durgajobsinfo......
Reference partitioning in Oracle 11g
The video explains Reference partitioning and its advantages in Oracle with real project example. It builds on the limitations of reference partitioning in oracle 11g (Interval partitioning) and scenarios where you should implement reference partitioning
Views: 1657 Tech Coach
Hash Partitioning in Oracle
The Video explains Hash partitioning in oracle and how it focuses on equal data distribution. It explains how hash partitioning uses partition joins to improve performance in VLDB by MPP.
Views: 5190 Tech Coach
SQL: Optimizer Hints Part-2
In this tutorial, you'll learn...what are optimizer hints and how to use it.. SQL (pronounced "ess-que-el") stands for Structured Query Language. SQL is used to communicate with a database. According to ANSI (American National Standards Institute), it is the standard language for relational database management systems.
Views: 11429 radhikaravikumar
SQL: Indexes - Bit Map & B-trees
In this tutorial, you'll learn when to use b-tree and bitmap index
Views: 53461 radhikaravikumar
Oracle Tutorial || Online Training || Adv Sql | Index Organized Table Part - 1 by basha
DURGASOFT is INDIA's No.1 Software Training Center offers online training on various technologies like JAVA, .NET , ANDROID,HADOOP,TESTING TOOLS ,ADF,INFORMATICA,TABLEAU,IPHONE,OBIEE,ANJULAR JS, SAP... courses from Hyderabad & Bangalore -India with Real Time Experts. Mail us your requirements to [email protected] so that our Supporting Team will arrange Demo Sessions. Ph:Call +91-8885252627,+91-7207212428,+91-7207212427,+91-8096969696. http://durgasoft.com http://durgasoftonlinetraining.com https://www.facebook.com/durgasoftware http://durgajobs.com https://www.facebook.com/durgajobsinfo......
Range Partitioning in Oracle
In this video I have explained what is range partitioning along with it's 2 real project use cases. I have also explained interval Partitioning as an extension of Range partitioning If you have not watched my Initial Videos on partitioning I will recommended watching them before watching this video Apologies for the 10 second video glitch between 6 and 7 minutes :(
Views: 4168 Tech Coach
Oracle ||  Index Organized Tables by siva
DURGASOFT is INDIA's No.1 Software Training Center offers online training on various technologies like JAVA, .NET , ANDROID,HADOOP,TESTING TOOLS , ADF, INFORMATICA,TABLEAU,IPHONE,OBIEE,ANJULAR JS, SAP... courses from Hyderabad & Bangalore -India with Real Time Experts. Mail us your requirements to [email protected] so that our Supporting Team will arrange Demo Sessions. Ph:Call +91-8885252627,+91-7207212428,+91-7207212427,+91-8096969696. http://durgasoft.com http://durgasoftonlinetraining.com https://www.facebook.com/durgasoftware http://durgajobs.com https://www.facebook.com/durgajobsinfo............
SQL: Types of Indexing
In this tutorial, you'll learn how to make use of different indexes...
Views: 32400 radhikaravikumar
Oracle Indexes - Live Demonstration
When is a Full Table Scan faster than an Index Scan? Watch Ross and Jordan act out an Oracle database reading and caching data via both methods, explaining the costs and benefits in simple and easy to understand terms. The demonstration is part of a talk by Ross Leishman of DWS Ltd on the principles of Understanding Indexes for SQL Tuning. The full lecture is at this link: https://www.youtube.com/watch?v=Z4hKomnGHFA DWS Ltd is a leading publicly listed Australian IT Services company, providing services to blue chip organisations since 1991. With a business philosophy based upon integrity, reliability and professional service delivery, DWS provides end to end IT solutions. www.dws.com.au
Views: 2677 DWS Ltd
Sql server query plan cache
Text version of the video http://csharp-video-tutorials.blogspot.com/2017/04/sql-server-query-plan-cache.html Slides http://csharp-video-tutorials.blogspot.com/2017/04/sql-server-query-plan-cache_12.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 SQL Server Tutorial Videos https://www.youtube.com/playlist?list=PL08903FB7ACA1C2FB 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 In this video we will discuss 1. What happens when a query is issued to SQL Server 2. How to check what is in SQL Server plan cache 3. Things to consider to promote query plan reusability What happens when a query is issued to SQL Server In SQl Server, every query requires a query plan before it is executed. When you run a query the first time, the query gets compiled and a query plan is generated. This query plan is then saved in sql server query plan cache. Next time when we run the same query, the cached query plan is reused. This means sql server does not have to create the plan again for that same query. So reusing a query plan can increase the performance. How long the query plan stays in the plan cache depends on how often the plan is reused besides other factors. The more often the plan is reused the longer it stays in the plan cache. How to check what is in SQL Server plan cache SELECT cp.usecounts, cp.cacheobjtype, cp.objtype, st.text, qp.query_plan FROM sys.dm_exec_cached_plans AS cp CROSS APPLY sys.dm_exec_sql_text(plan_handle) AS st CROSS APPLY sys.dm_exec_query_plan(plan_handle) AS qp ORDER BY cp.usecounts DESC As you can see we have sorted the result set by usecounts column in descending order, so we can see the most frequently reused query plans on the top. usecounts - Number of times the plan is reused objtype - Specifies the type of object text - Text of the SQL query query_plan - Query execution plan in XML format To remove all elements from the plan cache use the following command DBCC FREEPROCCACHE In older versions of SQL Server up to SQL Server 6.5 only stored procedure plans are cached. The query plans for Adhoc sql statements or dynamic sql statements are not cached, so they get compiled every time. With SQL Server 7, and later versions the query plans for Adhoc sql statements and dynamic sql statements are also cached. Things to consider to promote query plan reusability For example, when we execute the following query the first time. The query is compiled, a plan is created and put in the cache. Select * From Employees Where FirstName = 'Mark' When we execute the same query again, it looks up the plan cache, and if a plan is available, it reuses the existing plan instead of creating the plan again which can improve the performance of the query. However, one important thing to keep in mind is that, the cache lookup is by a hash value computed from the query text. If the query text changes even slightly, sql server will not be able to reuse the existing plan. For example, even if you include an extra space somewhere in the query or you change the case, the query text hash will not match, and sql server will not be able find the plan in cache and ends up compiling the query again and creating a new plan. Another example : If you want the same query to find an employee whose FirstName is Steve instead of Mark. You would issue the following query Select * From Employees Where FirstName = 'Steve' Even in this case, since the query text has changed the hash will not match, and sql server will not be able find the plan in cache and ends up compiling the query again and creating a new plan. This is why, it is very important to use parameterised queries for sql server to be able to reuse cached query plans. With parameterised queries, sql server will not treat parameter values as part of the query text. So when you change the parameters values, sql server can still reuse the cached query plan. The following query uses parameters. So even if you change parameter values, the same query plan is reused. Declare @FirstName nvarchar(50) Set @FirstName = 'Steve' Execute sp_executesql N'Select * from Employees where [email protected]', N'@FN nvarchar(50)', @FirstName One important thing to keep in mind is that, when you have dynamic sql in a stored procedure, the query plan for the stored procedure does not include the dynamic SQL. The block of dynamic SQL has a query plan of its own. Summary: Never ever concatenate user input values with strings to build dynamic sql statements. Always use parameterised queries which not only promotes cached query plans reuse but also prevent sql injection attacks.
Views: 24183 kudvenkat
Index Organized Tables
Bases de Datos 2 Index Organized Tables Michelle Cersosimo Fernando Mata
Views: 796 Mich Cersosimo
Manipulating data using the csv module in Python
In this video I show how to import and export data from and to csv files in python using the csv module (http://docs.python.org/2/library/csv.html). There's a blog post you can grab the code from here: http://goo.gl/j9h7u
Views: 60659 Vincent Knight
Nested Loop Join in SQL Server by Satya Ramesh
In this video, you will learn about basics around Nested Loop join and how Nested Loop Join algorithm works. You will also learn about different scenarios where SQL Server decides to use Nested Loop Join operator and how it affects performance. Video resources including presentation, demo files, code snippets and more learning material is available on http://www.dataplatformgeeks.com/ (Join for free and access all the resources) Connect with The Speaker (Satya Ramesh) -Follow on Twitter: https://twitter.com/satyaramesh230 -Follow on FaceBook at https://www.facebook.com/satyaramesh230 -Follow on LinkedIN: https://www.linkedin.com/in/ramesh-sa... Connect with SQLMaestros: http://sqlmaestros.com/ -http://www.twitter.com/SQLMaestros -https://www.facebook.com/SQLMaestros -Email us: [email protected] Have technical questions? Join the largest SQL group on FB www.facebook.com/groups/theSQLGeeks Our LinkedIn group https://www.linkedin.com/groups/6753546 DataPlatformGeeks (DPG) Community Join the fastest growing community of data & analytics professionals Why Join DPG? http://www.dataplatformgeeks.com/ -Attend all events hosted by DPG, including SQLMaestros Special Events -Get access to free videos, labs, magazines and host of learning resources -Download all events & conference material -Learn new skills. Sharpen existing skills -Be part of Asia’s Largest Data/Analytics Community -Opportunity to be a regional mentor & speaker at our events -Immense technical & professional development Do you know about Data Platform Summit? http://www.DPS10.com
Views: 815 SQLMaestros
Database Lesson #7 of 8 - Database Indexes
Dr. Soper gives a lecture on database indexes. Topics covered include index concepts, linear vs. binary search strategies, estimating index storage space requirements, B-tree indexes, bitmap indexes, hash indexes, and clustered vs. non-clustered indexes.
Views: 94673 Dr. Daniel Soper
CS50 2018 - Lecture 8 - SQL
00:00:00 - Introduction 00:00:50 - Hackathon Teaser 00:02:23 - Week 7 Recap 00:05:35 - C$50 Finance 00:07:47 - Cookies 00:15:46 - store 00:22:22 - Databases 00:27:15 - Mock Database 00:29:07 - SQL 00:39:32 - SQLite 00:51:52 - phpLiteAdmin 01:12:54 - lecture 01:38:39 - Race Conditions 01:45:57 - SQL Injection Attacks
Views: 10512 CS50
Migrating your data warehouse to Google BigQuery: Lessons Learned (Google Cloud Next '17)
BigQuery Data Warehousing customers often migrate their DW from another source or grow from a small project. This video will provide details on data migration, scaling up and the best practices for a smooth transition. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Big Data & Machine Learning here: https://goo.gl/OcqI9k
Views: 9446 Google Cloud Platform
Java Programming Tutorial - 12 - Switch Statement
Facebook - https://www.facebook.com/TheNewBoston-464114846956315/ GitHub - https://github.com/buckyroberts Google+ - https://plus.google.com/+BuckyRoberts LinkedIn - https://www.linkedin.com/in/buckyroberts reddit - https://www.reddit.com/r/thenewboston/ Support - https://www.patreon.com/thenewboston thenewboston - https://thenewboston.com/ Twitter - https://twitter.com/bucky_roberts
Views: 1148032 thenewboston
Google I/O 2012 - Crunching Big Data with BigQuery
Jordan Tigani, Ryan Boyd Google BigQuery is a data analysis tool born from Google internal technologies. It enables developers to analyze terabyte data sets in seconds using a RESTful API. This session will dive into best practices for getting fast answers to business questions. We'll provide insight into how we process queries under the hood and how to construct SQL queries for complex analysis. Slides: http://goo.gl/acBmd For all I/O 2012 sessions, go to https://developers.google.com/io/
Views: 36258 Google Developers
The Hour Of The Dragon by Robert E. Howard
The Hour of the Dragon, also known as Conan the Conqueror, is a fantasy novel by American writer Robert E. Howard featuring his sword and sorcery hero Conan the Cimmerian. It was one of the last Conan stories published before Howard's suicide although not the last to be written. Chapter 1. O Sleeper, Awake - 00:00 Chapter 2. A Black Wind Blows - 22:57 Chapter 3. The Cliffs Reel - 44:42 Chapter 4. From What Hell Have You Crawled? - 1:05:14 Chapter 5. The Haunter of the Pits - 1:26:16 Chapter 6. The Thrust of a Knife - 1:47:16 Chapter 7. The Rending of the Veil - 2:14:06 Chapter 8. Dying Embers - 2:45:36 Chapter 9. It is the King or His Ghost! - 3:07:31 Chapter 10. A Coin from Acheron - 3:30:34 Chapter 11. Swords of the South - 3:58:08 Chapter 12. The Fang of the Dragon - 4:17:24 Chapter 13. A Ghost Out of the Past - 4:47:23 Chapter 14. The Black Hand of Set - 5:05:46 Chapter 15. The Return of the Corsair - 5:25:48 Chapter 16. Black-Walled Khemi - 5:39:58 Chapter 17. He Has Slain the Sacred Son of Set! - 5:51:20 Chapter 18. I Am the Woman Who Never Died - 6:10:02 Chapter 19. In the Hall of the Dead - 6:29:36 Chapter 20. Out of the Dust Shall Acheron Arise - 6:50:16 Chapter 21. Drums of Peril - 7:13:14 Chapter 22. The Road to Acheron - 7:45:03 Read by Mark Nelson (https://librivox.org/reader/251)
Views: 11131 Audiobooks Unleashed
Google Test Automation Conference - 11/11/2015
https://developers.google.com/google-test-automation-conference/2015/ GTAC 2015 will be held at the Google office in Cambridge Massachusetts, on November 10th and 11th, 2015. We will be choosing a diversity of attendees and presenters from industry and academia. The talks will focus on trends we are seeing in industry combined with compelling talks on tools and infrastructure that can have a direct impact on our products. We are committed towards creating a conference that is focused for engineers by engineers. In GTAC 2015 we want to continue to encourage the strong trend toward the emergence of test engineering as a computer science discipline across companies and academia alike.
Views: 8546 GoogleTechTalks
Tutorial on Documentation and EMR for Practice Perfect
A training video on the Documentation and EMR functions within Practice Perfect software Follow us on Twitter: http://twitter.com/PracticePerfEMR Like us Facebook: http://www.facebook.com/practiceperfectemr Follow us on LinkedIn: http://goo.gl/LjVLwR
Views: 104163 Practice Perfect EMR
Mod-14 Lec-39 Shape Representation
Computational Geometry by Prof. Sandeep Sen, Department of Computer Science & Engineering, IIT Delhi. For more details on NPTEL visit http://nptel.iitm.ac.in
Views: 898 nptelhrd
Google I/O 2008 - Underneath the Covers at Google
Underneath the Cov I/ers at Google: Current Systems and Future Directions Jeff Dean (Google) Over the past several years, we have built a collection of systems and tools that simplify the storing and processing of large-scale data sets, and the construction of heavily-used public services based on these data sets. These systems are intended to work well in Google's computational environment, which consists of large numbers of commodity machines connected by commodity networking hardware. Our systems handle issues like storage reliability and availability in the face of machine failures, and our processing tools make it relatively easy to write robust computations that run reliably and efficiently on thousands of machines. In this talk I'll highlight some of the systems we have built, and discuss some challenges and future directions for new systems.
Views: 25245 Google Developers
Database and Data Analytic Systems
Increasing availability of the data, coupled with breakthroughs in Machine Learning and AI, have raised the ambitions of the enterprises to exploit insights from data to transform their businesses. This has challenged the data platform builders to architect platforms that support the exploration of insights in an efficient and cost-effective manner. Conversely, it has raised the hopes of data platform architects that the telemetry data captured by the data platforms can be harnessed bring the data-driven innovation to customize data platforms and make them adapt to the workload and data characteristics. In this session, we will explore this duality of “Data Platforms for AI” and “AI for Data Platforms”. See more at https://www.microsoft.com/en-us/research/video/database-and-data-analytic-systems/
Views: 1414 Microsoft Research
Java program to find odd or even number | Only for Beginners
A simple example to illustrate how java.util.Scanner works would be reading a single integer from System.in . It's really quite simple. Scanner sc = new Scanner(System.in); int i = sc.nextInt(); To retrieve a username I would probably use sc.nextLine(). Check out our website: http://www.telusko.com Follow Telusko on Twitter: https://twitter.com/navinreddy20 Follow on Facebook: Telusko : https://www.facebook.com/teluskolearnings Navin Reddy : https://www.facebook.com/navintelusko Follow Navin Reddy on Instagram: https://www.instagram.com/navinreddy20 Subscribe to our other channel: Navin Reddy : https://www.youtube.com/channel/UCxmkk8bMSOF-UBF43z-pdGQ?sub_confirmation=1 Telusko Hindi : https://www.youtube.com/channel/UCitzw4ROeTVGRRLnCPws-cw?sub_confirmation=1
Views: 51290 Telusko
Forward 5: JS Live Stream
Views: 3229 ForwardJS
Google I/O 2010 - Fireside chat with the App Engine team
Google I/O 2010 - Fireside chat with the App Engine team Fireside Chats, App Engine Sean Lynch, Kevin Gibbs, Don Schwarz, Matthew Blain, Guido van Rossum, Max Ross, Brett Slatkin It's been an busy year for the App Engine team with lots of new features and lots of new developers. Come tell us about what you've loved and what still bugs you. With several members of the App Engine team on deck, you'll get the answers to your questions straight from the source. For all I/O 2010 sessions, please go to http://code.google.com/events/io/2010/sessions.html
Views: 25876 Google Developers
Hands-On Workshop with Cloud.gov
You want your agency’s move to cloud computing to deliver flexibility, cost-savings, and process improvement. But the promise of those goals proves elusive with the challenges of Infrastructure-as-a-Service, contracting vehicles and compliance requirements. GSA’s cloud.gov is the high-performance Platform-as-a-Service (PaaS) by and for the federal government. Imagine a secure cloud environment where your team can get up and running in minutes, then build, manage, and release applications with a radically shortened path to achieving Authority to Operate from your agency. By practicing DevSecOps with cloud.gov, you and your team can deliver at the “speed of mission.” In this workshop we’ll contrast building, delivering and securing web applications in cloud.gov to a typical infrastructure-as-a-service approach. In the hands-on portion you’ll walk through the steps to launch a live web application, fully demonstrating the power of cloud.gov’s PaaS approach.
Views: 686 DigitalGov
Build 2017 - Day 1 Keynote
Satya Nadella, Scott Guthrie, and Harry Shum show us how software continues to transform the world in remarkable ways, with developers at the center of it. [00:02] Satya Nadella Opening Statements [07:39] Microsoft mission [14:02] Intelligent Cloud and Intelligent Edge [19:00] Sam George, Sandvik Windows IoT demonstration [23:00] Azure IoT Edge Introduction [27:52] Andrea Carl, AI for Workplace Safety demonstration [37:59] The Edge and our Devices [41:27] Laura Jones, Intelligent Meetings [51:46] Satya Nadella Closing Statements [52:50] Haiyan Zhang and Emma Lawton, Development and Inspiration [56:41] Scott Guthrie Opening Statements [1:00:20] Scott Hanselman Azure Management Stack demonstration [1:01:59] Azure Cloud Shell Announcement [1:04:25] Azure Management Mobile App on Android and iOS Announcement [1:09:50] Visual Studio for Mac General Availability Announcement [1:21:13] PostgreSQL as a Service, MySQL as a Service Announcement [1:22:26] Azure Cosmos DB Introduction [1:27:20] Rimma Nehme, Azure Cosmos DB demonstration [1:39:43] Maria Naggaga, Cloud Native application development demonstration [1:46:50] Scott Guthrie, Serverless Computing [1:49:01] Visual Studio 2017 support for Azure Function and Logic Apps Announcement [1:52:02] Scott Guthrie, Azure Stack [1:56:59] Julia White Azure and Azure Stack demonstration [2:01:05] Scott Guthrie and Abhay Parasnis, Adobe, SaaS on Azure [2:11:51] Microsoft AppSource [2:13:13] Harry Shum Opening Statements [2:18:18] Cognitive Services - Video Index and Cognitive Services Labs Cognitive Services Announcement [2:19:40] Cognitive Services, Custom Vision, LUIS, Speech, Search and Decision Services Announcement [2:23:00] Cornelia Carapcea Custom Vision demonstration [2:27:07] Bot Framework and Adaptive Cards demonstration [2:33:27] Yina Arenas Presentation Translator Add-in demonstration [2:37:44] HP and Intel Cortana Device Announcement [2:39:12] Yina Arenas Tact and Microsoft Graph demonstration [2:43:52] Harry Shum Closing Statements
Views: 340 Sorin-Mihai Oprea

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