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sub partitioning in oracle  or composite partitioning in Oracle RANGE-LIST, RANGE-HASH
 
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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: 428 TechLake
KISS series on Partitioning: 03 Multi column range partitioning
 
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Welcome to the KISS video series on Partitioning, where we take a more developer-centric look at how partitioning can make our applications more successful. In this session, we look at range partitioning on multiple columns Scripts: https://livesql.oracle.com/apex/livesql/file/content_ERYV6B909XK196IAKLBUQIJSN.html blog: https://connor-mcdonald.com ========================================­­============== Copyright © 2017 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: 805 Connor McDonald
What is the HASH PARTITION in Oracle ?
 
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Hi guys in my today scenario I'm going to explain with you What is the HASH PARTITION in Oracle, Oracle database Unbeatable,Unbreakable Platform..
Views: 7182 Oracle World
What is a Hash Partition in Oracle
 
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What is a Hash Partition 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: 694 TechLake
01 Overview of table Partition in oracle
 
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Partitioning enhances the performance, manageability, and availability of a wide variety of applications and helps reduce the total cost of ownership for storing large amounts of data. Partitioning allows tables, indexes, and index-organized tables to be subdivided into smaller pieces, enabling these database objects to be managed and accessed at a finer level of granularity. Oracle provides a rich variety of partitioning strategies and extensions to address every business requirement. Moreover, since it is entirely transparent, partitioning can be applied to almost any application without the need for potentially expensive and time consuming application changes. Partitioning allows a table, index, or index-organized table to be subdivided into smaller pieces, where each piece of such a database object is called a partition. Each partition has its own name, and may optionally have its own storage characteristics. From the perspective of a database administrator, a partitioned object has multiple pieces that can be managed either collectively or individually. This gives the administrator considerable flexibility in managing partitioned objects. However, from the perspective of the application, a partitioned table is identical to a non-partitioned table; no modifications are necessary when accessing a partitioned table using SQL queries and DML statements. Partitioning Key ======================== Each row in a partitioned table is unambiguously assigned to a single partition. The partitioning key is comprised of one or more columns that determine the partition where each row will be stored. Oracle automatically directs insert, update, and delete operations to the appropriate partition through the use of the partitioning key. When to Partition a Table ========================== Here are some suggestions for when to partition a table: Tables greater than 2 GB should always be considered as candidates for partitioning. Tables containing historical data, in which new data is added into the newest partition. A typical example is a historical table where only the current month's data is updatable and the other 11 months are read only. When the contents of a table need to be distributed across different types of storage devices. When to Partition an Index ============================= Here are some suggestions for when to consider partitioning an index: Avoid rebuilding the entire index when data is removed. Perform maintenance on parts of the data without invalidating the entire index. Reduce the impact of index skew caused by an index on a column with a monotonically increasing value. Partitioned Index-Organized Tables =================================== Partitioned index-organized tables are very useful for providing improved performance, manageability, and availability for index-organized tables. For partitioning an index-organized table: ============================================ Partition columns must be a subset of the primary key columns Secondary indexes can be partitioned (both locally and globally) OVERFLOW data segments are always equi-partitioned with the table partitions See Also: Oracle Database Concepts for more information about index-organized tables System Partitioning System partitioning enables application-controlled partitioning without having the database controlling the data placement. The database simply provides the ability to break down a table into partitions without knowing what the individual partitions are going to be used for. All aspects of partitioning have to be controlled by the application. For example, an insertion into a system partitioned table without the explicit specification of a partition will fail. System partitioning provides the well-known benefits of partitioning (scalability, availability, and manageability), but the partitioning and actual data placement are controlled by the application. See Also: Oracle Database Data Cartridge Developer's Guide for more information about system partitioning Partitioning for Information Lifecycle Management Information Lifecycle Management (ILM) is concerned with managing data during its lifetime. Partitioning plays a key role in ILM because it enables groups of data (that is, partitions) to be distributed across different types of storage devices and managed individually.
Views: 6678 OnLinE ReSoUrCe
KISS series on Partitioning: 08 Converting ranges to interval partitions
 
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Welcome to the KISS video series on Partitioning, where we take a more developer-centric look at how partitioning can make our applications more successful. In this session, we look at converting range partitioned tables to interval partitioned tables Scripts: https://livesql.oracle.com/apex/livesql/file/content_E7J2B8MNH9S7QPIC23E5PEAVI.html blog: https://connor-mcdonald.com ========================================­­============== Copyright © 2017 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: 348 Connor McDonald
02 How to configure Rang partition In oracle database
 
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Now a days enterprises run databases of hundred of Gigabytes in size. These databases are known as Very Large Databases (VLDB). From Oracle Ver. 8.0 Oracle has provided the feature of table partitioning i.e. you can partition a table according to some criteria . For example you have a SALES table with the following structure Suppose this table contains millions of records, but all the records belong to four years only i.e. 1991, 1992, 1993 and 1994. And most of the time you are concerned about only one year i.e. you give queries like the following select sum(amt) from sales where year=1991; select product,sum(amt) from sales where year=1992 Group by product; Now whenever you give queries like this Oracle will search the whole table. If you partition this table according to year, then the performance is improve since oracle will scan only a single partition instead of whole table. This type of partitioning is useful when dealing with data that has logical ranges into which it can be distributed; for example, value of year. Performance is best when the data evenly distributes across the range
Views: 1810 OnLinE ReSoUrCe
MySQL Partitioning
 
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In the tenth episode of 'Getting Started With MySQL' Series, we get to walk through the different types of Table Partitioning (such as RANGE, LIST and HASH) in MySQL Database. Most importantly we get some idea on what benefit we get out of partitioning a Database Table.
Views: 7644 Rajesh Rajasekharan
05 How to configure Sub partition using rang & list in oracle
 
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You can create subpartitions in a composite partitioned table using a subpartition template. A subpartition template simplifies the specification of subpartitions by not requiring that a subpartition descriptor be specified for every partition in the table. Instead, you describe subpartitions only once in a template, then apply that subpartition template to every partition in the table. For interval-* composite partitioned tables, the subpartition template is the only way to define subpartitions for interval partitions. The subpartition template is used whenever a subpartition descriptor is not specified for a partition. If a subpartition descriptor is specified, then it is used instead of the subpartition template for that partition. If no subpartition template is specified, and no subpartition descriptor is supplied for a partition, then a single default subpartition is created. Specifying a Subpartition Template for a *-Hash Partitioned Table In the case of [range | interval | list]-hash partitioned tables, the subpartition template can describe the subpartitions in detail, or it can specify just the number of hash subpartitions. The following example creates a range-hash partitioned table using a subpartition template: CREATE TABLE emp_sub_template (deptno NUMBER, empname VARCHAR(32), grade NUMBER) PARTITION BY RANGE(deptno) SUBPARTITION BY HASH(empname) SUBPARTITION TEMPLATE (SUBPARTITION a TABLESPACE ts1, SUBPARTITION b TABLESPACE ts2, SUBPARTITION c TABLESPACE ts3, SUBPARTITION d TABLESPACE ts4 ) (PARTITION p1 VALUES LESS THAN (1000), PARTITION p2 VALUES LESS THAN (2000), PARTITION p3 VALUES LESS THAN (MAXVALUE) ); This example produces the following table description: Every partition has four subpartitions as described in the subpartition template. Each subpartition has a tablespace specified. It is required that if a tablespace is specified for one subpartition in a subpartition template, then one must be specified for all. The names of the subpartitions, unless you use interval-* subpartitioning, are generated by concatenating the partition name with the subpartition name in the form:
Views: 535 OnLinE ReSoUrCe
PART 5 ADD PARTITION
 
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alter table, data warehousing add partition, range partition
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: 4842 TechLake
KISS series on Partitioning: 05 How to create a list partitioned table
 
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Welcome to the KISS video series on Partitioning, where we take a more developer-centric look at how partitioning can make our applications more successful. In this session, we look at hash partitioning Scripts: https://livesql.oracle.com/apex/livesql/file/content_EXS3Y4LQGPTUGO223O3PGK2K9.html blog: https://connor-mcdonald.com ========================================­­============== Copyright © 2017 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: 447 Connor McDonald
KISS series on Partitioning: 02 Partitioning for Performance
 
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Welcome to the KISS video series on Partitioning, where we take a more developer-centric look at how partitioning can make our applications more successful. In this session, we take a first look at why partitioning can be a great help for faster queries blog: https://connor-mcdonald.com ========================================­­============== Copyright © 2017 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: 764 Connor McDonald
Hash Partition in Oracle
 
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This course has been designed to impart the in-depth knowledge about the partitioning types and architecture in the Oracle RDBMS. For more information on this course, please visit https://www.koenig-solutions.com/oracle-database-12-c-implement-partitioning-training.aspx
Views: 51 Koenig Solutions
Difference between rows and range
 
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range vs rows in sql server difference between rows clause and range clause in sql server range clause vs rows clause in sql server sql server running total query running total example in sql server In this video we will discuss the difference between rows and range in SQL Server. This is continuation to Part 116. Please watch Part 116 from SQL Server tutorial before proceeding. Let us understand the difference with an example. We will use the following Employees table in this demo. SQL Script to create the Employees table Create Table Employees ( Id int primary key, Name nvarchar(50), Salary int ) Go Insert Into Employees Values (1, 'Mark', 1000) Insert Into Employees Values (2, 'John', 2000) Insert Into Employees Values (3, 'Pam', 3000) Insert Into Employees Values (4, 'Sara', 4000) Insert Into Employees Values (5, 'Todd', 5000) Go Calculate the running total of Salary and display it against every employee row The following query calculates the running total. We have not specified an explicit value for ROWS or RANGE clause. SELECT Name, Salary, SUM(Salary) OVER(ORDER BY Salary) AS RunningTotal FROM Employees So the above query is using the default value which is RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW This means the above query can be re-written using an explicit value for ROWS or RANGE clause as shown below. SELECT Name, Salary, SUM(Salary) OVER(ORDER BY Salary RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW) AS RunningTotal FROM Employees We can also achieve the same result, by replacing RANGE with ROWS SELECT Name, Salary, SUM(Salary) OVER(ORDER BY Salary ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW) AS RunningTotal FROM Employees What is the difference between ROWS and RANGE To understand the difference we need some duplicate values for the Salary column in the Employees table. Execute the following UPDATE script to introduce duplicate values in the Salary column Update Employees set Salary = 1000 where Id = 2 Update Employees set Salary = 3000 where Id = 4 Go Now execute the following query. Notice that we get the running total as expected. SELECT Name, Salary, SUM(Salary) OVER(ORDER BY Salary ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW) AS RunningTotal FROM Employees The following query uses RANGE instead of ROWS SELECT Name, Salary, SUM(Salary) OVER(ORDER BY Salary RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW) AS RunningTotal FROM Employees Notice we don't get the running total as expected. So, the main difference between ROWS and RANGE is in the way duplicate rows are treated. ROWS treat duplicates as distinct values, where as RANGE treats them as a single entity. All together side by side. The following query shows how running total changes 1. When no value is specified for ROWS or RANGE clause 2. When RANGE clause is used explicitly with it's default value 3. When ROWS clause is used instead of RANGE clause SELECT Name, Salary, SUM(Salary) OVER(ORDER BY Salary) AS [Default], SUM(Salary) OVER(ORDER BY Salary RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW) AS [Range], SUM(Salary) OVER(ORDER BY Salary ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW) AS [Rows] FROM Employees Text version of the video http://csharp-video-tutorials.blogspot.com/2015/10/difference-between-rows-and-range.html Slides http://csharp-video-tutorials.blogspot.com/2015/10/difference-between-rows-and-range_8.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: 32057 kudvenkat
How Does the Phyiscal Location of Rows Affect Indexes?: Finding All the Red Sweets Part 2
 
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In part one of the red candy series, Chris compared the efficiency of using a index range scan and full table scan to access data. He found that a full table scan was more efficient when fetching more rows than there are table blocks. This analysis made a big assumption however. It worked on the presumption that there was no correlation between the order of candies in the document and which the bags they were in. In this episode tests this assumption. Chris looks at how the physical order of rows in a table can affect the efficiency of indexes on it. He discusses how Oracle tracks this via the clustering factor. ============================ 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: 3043 The Magic of SQL
Split Range - Partition in SQL Server - Part 5
 
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Click here to Subscribe to IT PORT Channel : https://www.youtube.com/channel/UCMjmoppveJ3mwspLKXYbVlg Adds one partition to the partition function. boundary_value determines the range of the new partition, and must differ from the existing boundary ranges of the partition function. Based on boundary_value, the Database Engine splits one of the existing ranges into two. Of these two, the one where the new boundary_value resides is considered the new partition. Before that We should add on empty file for this database and add it to Partition scheme using NEXT USED.
Views: 187 IT Port
KISS series on Partitioning: 06 How to create a subpartitioned table
 
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Welcome to the KISS video series on Partitioning, where we take a more developer-centric look at how partitioning can make our applications more successful. In this session, we look at composite partitioning Scripts: https://livesql.oracle.com/apex/livesql/file/content_E04YW3K8RNMQO7L066TMLDLR7.html blog: https://connor-mcdonald.com ========================================­­============== Copyright © 2017 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: 392 Connor McDonald
KISS series on Analytics: 07 Partition clause
 
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Welcome to the KISS video series. Solving problems that typically required complicated SQL in the past, that can now be easily solved with Analytic SQL syntax. In this session, we take our first look at the partition clause The sample problem we'll solve is: Applying ranking functions to data when it is logically grouped into sections, in this case, populations of countries by continent Scripts: https://livesql.oracle.com/apex/livesql/file/content_ERYV6B909XK196IAKLBUQIJSN.html Watch the entire Analytics playlist at https://www.youtube.com/playlist?list=PLJMaoEWvHwFJDyhMLCkNSSUQWw9waFkIj ========================================­­­============== 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: 1148 Connor McDonald
Table Compression Enhancement in Oracle Database 11g R2
 
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Table Compression: Overview Oracle Database supports three methods of table compression: 1.Basic table compression 2.OLTP table compression Oracle Corporation recommends to compress all data to reduce storage costs. The Oracle database can use table compression to eliminate duplicate values in a data block. For tables with highly redundant data, compression saves disk space and reduces memory use in the database buffer cache. Table compression is transparent to database applications. The table_compression clause is valid only for heap-organized tables. The COMPRESS keyword enables table compression. The NOCOMPRESS keyword disables table compression. NOCOMPRESS is the default. With basic compression, the Oracle database compresses data at the time of performing bulk load using operations such as direct loads or CREATE TABLE AS SELECT. With COMPRESS FOR OLTP, the Oracle database compresses data during all DML operations on the table.
Views: 2265 Saurabh Joshi
Difference between rank dense rank and row number in SQL
 
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row_number vs rank vs dense_rank in sql server dense_rank vs rank vs row_number sql server rank dense_rank row_number in sql server In this video we will discuss the similarities and difference between RANK, DENSE_RANK and ROW_NUMBER functions in SQL Server. Similarities between RANK, DENSE_RANK and ROW_NUMBER functions Returns an increasing integer value starting at 1 based on the ordering of rows imposed by the ORDER BY clause (if there are no ties) ORDER BY clause is required PARTITION BY clause is optional When the data is partitioned, the integer value is reset to 1 when the partition changes SQL Script to create the Employees table Create Table Employees ( Id int primary key, Name nvarchar(50), Gender nvarchar(10), Salary int ) Go Insert Into Employees Values (1, 'Mark', 'Male', 6000) Insert Into Employees Values (2, 'John', 'Male', 8000) Insert Into Employees Values (3, 'Pam', 'Female', 4000) Insert Into Employees Values (4, 'Sara', 'Female', 5000) Insert Into Employees Values (5, 'Todd', 'Male', 3000) Notice that no two employees in the table have the same salary. So all the 3 functions RANK, DENSE_RANK and ROW_NUMBER produce the same increasing integer value when ordered by Salary column. SELECT Name, Salary, Gender, ROW_NUMBER() OVER (ORDER BY Salary DESC) AS RowNumber, RANK() OVER (ORDER BY Salary DESC) AS [Rank], DENSE_RANK() OVER (ORDER BY Salary DESC) AS DenseRank FROM Employees You will only see the difference when there ties. Now let's include duplicate values for Salary column. To do this First delete existing data from the Employees table DELETE FROM Employees Insert new rows with duplicate valuse for Salary column Insert Into Employees Values (1, 'Mark', 'Male', 8000) Insert Into Employees Values (2, 'John', 'Male', 8000) Insert Into Employees Values (3, 'Pam', 'Female', 8000) Insert Into Employees Values (4, 'Sara', 'Female', 4000) Insert Into Employees Values (5, 'Todd', 'Male', 3500) Notice 3 employees have the same salary 8000. When you execute the following query you can clearly see the difference between RANK, DENSE_RANK and ROW_NUMBER functions. SELECT Name, Salary, Gender, ROW_NUMBER() OVER (ORDER BY Salary DESC) AS RowNumber, RANK() OVER (ORDER BY Salary DESC) AS [Rank], DENSE_RANK() OVER (ORDER BY Salary DESC) AS DenseRank FROM Employees Difference between RANK, DENSE_RANK and ROW_NUMBER functions ROW_NUMBER : Returns an increasing unique number for each row starting at 1, even if there are duplicates. RANK : Returns an increasing unique number for each row starting at 1. When there are duplicates, same rank is assigned to all the duplicate rows, but the next row after the duplicate rows will have the rank it would have been assigned if there had been no duplicates. So RANK function skips rankings if there are duplicates. DENSE_RANK : Returns an increasing unique number for each row starting at 1. When there are duplicates, same rank is assigned to all the duplicate rows but the DENSE_RANK function will not skip any ranks. This means the next row after the duplicate rows will have the next rank in the sequence. Text version of the video http://csharp-video-tutorials.blogspot.com/2015/10/difference-between-rank-denserank-and.html Slides http://csharp-video-tutorials.blogspot.com/2015/10/difference-between-rank-denserank-and_2.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: 38412 kudvenkat
KISS series on Partitioning - for Developers
 
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Welcome to the KISS video series on Partitioning, where we take a more developer-centric look at how partitioning can make our applications more successful. In this session, we look at how to create our very first range partitioned table Scripts: https://livesql.oracle.com/apex/livesql/file/content_EM2X7EIHU60Z888IOU53RF0EN.html ========================================­­============== Copyright © 2017 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: 1004 Connor McDonald
Over clause in SQL Server
 
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over partition by in sql server 2008 sql server over clause partition partition by clause in sql server 2008 over partition by clause in sql In this video we will discuss the power and use of Over clause in SQL Server. The OVER clause combined with PARTITION BY is used to break up data into partitions. Syntax : function (...) OVER (PARTITION BY col1, Col2, ...) The specified function operates for each partition. For example : COUNT(Gender) OVER (PARTITION BY Gender) will partition the data by GENDER i.e there will 2 partitions (Male and Female) and then the COUNT() function is applied over each partition. Any of the following functions can be used. Please note this is not the complete list. COUNT(), AVG(), SUM(), MIN(), MAX(), ROW_NUMBER(), RANK(), DENSE_RANK() etc. Example : SQl Script to create Employees table Create Table Employees ( Id int primary key, Name nvarchar(50), Gender nvarchar(10), Salary int ) Go Insert Into Employees Values (1, 'Mark', 'Male', 5000) Insert Into Employees Values (2, 'John', 'Male', 4500) Insert Into Employees Values (3, 'Pam', 'Female', 5500) Insert Into Employees Values (4, 'Sara', 'Female', 4000) Insert Into Employees Values (5, 'Todd', 'Male', 3500) Insert Into Employees Values (6, 'Mary', 'Female', 5000) Insert Into Employees Values (7, 'Ben', 'Male', 6500) Insert Into Employees Values (8, 'Jodi', 'Female', 7000) Insert Into Employees Values (9, 'Tom', 'Male', 5500) Insert Into Employees Values (10, 'Ron', 'Male', 5000) Go Write a query to retrieve total count of employees by Gender. Also in the result we want Average, Minimum and Maximum salary by Gender. This can be very easily achieved using a simple GROUP BY query as show below. SELECT Gender, COUNT(*) AS GenderTotal, AVG(Salary) AS AvgSal, MIN(Salary) AS MinSal, MAX(Salary) AS MaxSal FROM Employees GROUP BY Gender What if we want non-aggregated values (like employee Name and Salary) in result set along with aggregated values You cannot include non-aggregated columns in the GROUP BY query. SELECT Name, Salary, Gender, COUNT(*) AS GenderTotal, AVG(Salary) AS AvgSal, MIN(Salary) AS MinSal, MAX(Salary) AS MaxSal FROM Employees GROUP BY Gender The above query will result in the following error : Column 'Employees.Name' is invalid in the select list because it is not contained in either an aggregate function or the GROUP BY clause One way to achieve this is by including the aggregations in a subquery and then JOINING it with the main query as shown in the example below. Look at the amount of T-SQL code we have to write. SELECT Name, Salary, Employees.Gender, Genders.GenderTotals, Genders.AvgSal, Genders.MinSal, Genders.MaxSal FROM Employees INNER JOIN (SELECT Gender, COUNT(*) AS GenderTotals, AVG(Salary) AS AvgSal, MIN(Salary) AS MinSal, MAX(Salary) AS MaxSal FROM Employees GROUP BY Gender) AS Genders ON Genders.Gender = Employees.Gender Better way of doing this is by using the OVER clause combined with PARTITION BY SELECT Name, Salary, Gender, COUNT(Gender) OVER(PARTITION BY Gender) AS GenderTotals, AVG(Salary) OVER(PARTITION BY Gender) AS AvgSal, MIN(Salary) OVER(PARTITION BY Gender) AS MinSal, MAX(Salary) OVER(PARTITION BY Gender) AS MaxSal FROM Employees Text version of the video http://csharp-video-tutorials.blogspot.com/2015/09/over-clause-in-sql-server.html Slides http://csharp-video-tutorials.blogspot.com/2015/09/over-clause-in-sql-server_29.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: 79568 kudvenkat
Creating and Formatting Partitions with FDISK and mkfs - BASH - Linux
 
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http://filmsbykris.com/wordpress/?p=318 Got Questions? visit http://FilmsByKris.com/forum Chat with us and learn more http://FilmsByKris.com/irc
Views: 99557 Kris Occhipinti
How and Why to use 12c Release 2 Automatic List Partitioning
 
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Oracle Database 12c Release 2 new feature: Automatic LIST Partitioning. Learn how and why to use this great new feature.
Views: 332 SkillBuilders
How to Move Object from one Table Space to Another Table Space? | How to Rebuild the Index ?
 
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This Video will teach you How to Move Object one Table Space to Another | How to Rebuild the Index ? move table from one tablespace to another in oracle 11g oracle move schema to another tablespace oracle how to move objects to another tablespace oracle 11g move schema to another tablespace alter table move tablespace oracle 8i oracle move table script oracle move cluster to new tablespace oracle move table example rebuild index oracle script alter index rebuild online parallel oracle rebuild all indexes oracle index rebuild online vs offline oracle rebuild partitioned index index rebuild oracle best practice index rebuild script in oracle 11g
Views: 789 Oracle PL/SQL World
06 How to configure Sub partition using Rang & Hash in oracle
 
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You can create subpartitions in a composite partitioned table using a subpartition template. A subpartition template simplifies the specification of subpartitions by not requiring that a subpartition descriptor be specified for every partition in the table. Instead, you describe subpartitions only once in a template, then apply that subpartition template to every partition in the table. For interval-* composite partitioned tables, the subpartition template is the only way to define subpartitions for interval partitions. The subpartition template is used whenever a subpartition descriptor is not specified for a partition. If a subpartition descriptor is specified, then it is used instead of the subpartition template for that partition. If no subpartition template is specified, and no subpartition descriptor is supplied for a partition, then a single default subpartition is created. Specifying a Subpartition Template for a *-Hash Partitioned Table In the case of [range | interval | list]-hash partitioned tables, the subpartition template can describe the subpartitions in detail, or it can specify just the number of hash subpartitions. The following example creates a range-hash partitioned table using a subpartition template: CREATE TABLE emp_sub_template (deptno NUMBER, empname VARCHAR(32), grade NUMBER) PARTITION BY RANGE(deptno) SUBPARTITION BY HASH(empname) SUBPARTITION TEMPLATE (SUBPARTITION a TABLESPACE ts1, SUBPARTITION b TABLESPACE ts2, SUBPARTITION c TABLESPACE ts3, SUBPARTITION d TABLESPACE ts4 ) (PARTITION p1 VALUES LESS THAN (1000), PARTITION p2 VALUES LESS THAN (2000), PARTITION p3 VALUES LESS THAN (MAXVALUE) ); This example produces the following table description: Every partition has four subpartitions as described in the subpartition template. Each subpartition has a tablespace specified. It is required that if a tablespace is specified for one subpartition in a subpartition template, then one must be specified for all. The names of the subpartitions, unless you use interval-* subpartitioning, are generated by concatenating the partition name with the subpartition name in the form:
Views: 273 OnLinE ReSoUrCe
Introduction - Partition in SQL Server - Part 1 Tamil
 
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Click here to Subscribe to IT PORT Channel : https://www.youtube.com/channel/UCMjmoppveJ3mwspLKXYbVlg Partitioning is the process of dividing a single large table/index into multiple logical chunks/partitions in such way that each partition can be managed separately without having much overall impact on the availability of the table/index. Partitioning improves the manageability and availability of table/index as well as the performance of the queries running against this partitioned table/index SQL Server supports table and index partitioning. The data of partitioned tables and indexes is divided into units that can be spread across more than one filegroup in a database. The data is partitioned horizontally, so that groups of rows are mapped into individual partitions. All partitions of a single index or table must reside in the same database. The table or index is treated as a single logical entity when queries or updates are performed on the data. Explained in Tamil
Views: 405 IT Port
How to Code Oracle Analytic Functions
 
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Many more free Oracle Database and SQL tutorials at http://skillbuilders.com/free-oracle-tutorials. SQL is a language that allows you to perform queries to answer a wide range of questions about your data. While standard SQL is quite powerful, there are many questions that it cannot answer at all or that it can only answer with complex and inefficient SQL workarounds. Questions about running totals, percent of total, and ranking within a group fall into this area. Also, more complex issues such as Top-N within a group and aggregates over a range also fall in this arena. These questions can be easily answered via a new class of SQL statements called Analytic Functions. This presentation will show you how to use Oracle's Analytic Function extensions to SQL to answer these questions simply and efficiently.
Views: 25875 SkillBuilders
Informatica Partitioning and Interview Questions Explanation | Informatica Training
 
01:08:56
Here is the complete guide for informatica with all transformations which includes real time scenario Informatica Partitioning and Interview Questions Explanation | Informatica Training Informatica Partitioning and Interview Questions Explanation | Informatica Training
How to Convert a Non-Partitioned Table to Partitioned using Oracle Database 12c R2
 
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Oracle Database 12c Release 2 New Feature! Learn how to convert a non-partitioned table to a partitioned table - Online! This new method - using ALTER TABLE MODIFY - is much simpler than DBMS_REDEFINITION. In this free tutorial from SkillBuilders and Oracle Certified Master DBA John Watson you'll see a demonstration of converting the table and the impact on the underlying table and indexes. See all our free Oracle Database Tutorials at http://www.skillbuilders.com/free-oracle-tutorials.
Views: 2846 SkillBuilders
Oracle Database 12c: Partitioning Improvements with Tom Kyte
 
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Tom Kyte introduces the new partitioning improvements in Oracle Database 12c, followed by a demo of global index maintenance. For more information: "Asynchronous Global Index Maintenance for Dropping and Truncating Partitions" http://www.oracle.com/pls/topic/lookup?ctx=db121&id=VLDBG14107 "Changes for Very Large Databases and Partitioning in Oracle Database 12c Release 1" http://www.oracle.com/pls/topic/lookup?ctx=db121&id=VLDBG14100 "ALTER INDEX COALESCE Clause" http://www.oracle.com/pls/topic/lookup?ctx=db121&id=SQLRF52782 "DBMS_PART.CLEANUP_GIDX Procedure" http://www.oracle.com/pls/topic/lookup?ctx=db121&id=ARPLS74409
Views: 12691 OracleDBVision
Oracle Performance - Indexes
 
28:28
Oracle Performance - Indexes
Views: 253 The Silent DBA
07 06 Index Skip Scan Operations
 
03:14
ORACLE
Views: 764 oracle ocm
Interval Partitioning ( Greedy Algorithm ) - Algorithms
 
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Thanks for subscribing! --- This video is about a greedy algorithm for interval partitioning. With this algorithm you can minimize the amount of resources needed when partitioning intervals. In the video the following concepts are explained: - The problem. - The solution to the problem. - An example on how the algorithm works. - The pseudocode for the solution. - The running time of the provided pseudocode. - The depth within interval partitioning. - A proof that shows that the solution is correct. - A proof that shows that the solution is optimal. - Some implementation details (use of a priority queue). --- If you thought this video was useful, make sure to give it a like! If you want to support this channel, make sure to subscribe. If you have any questions, use the comment section. This video has been published by MisterCode.
Views: 11204 MisterCode
hash_partition_algorithm_viewlet-4.ogv
 
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Description on how Oracle's Hash Partition method works
Views: 1565 mestreflashini
Part 5   SQL query to find employees hired in last n months
 
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Link for all dot net and sql server video tutorial playlists http://www.youtube.com/user/kudvenkat/playlists Link for slides, code samples and text version of the video http://csharp-video-tutorials.blogspot.com/2014/05/part-5-sql-query-to-find-employees.html This question is asked is many sql server interviews. If you have used DATEDIFF() sql server function then you already know the answer. -- Replace N with number of months Select * FROM Employees Where DATEDIFF(MONTH, HireDate, GETDATE()) Between 1 and N
Views: 161341 kudvenkat
FIRST VALUE function in SQL Server
 
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In this video we will discuss FIRST_VALUE function in SQL Server FIRST_VALUE function Introduced in SQL Server 2012 Retrieves the first value from the specified column ORDER BY clause is required PARTITION BY clause is optional Syntax : FIRST_VALUE(Column_Name) OVER (ORDER BY Col1, Col2, ...) FIRST_VALUE function example WITHOUT partitions : In the following example, FIRST_VALUE function returns the name of the lowest paid employee from the entire table. SELECT Name, Gender, Salary, FIRST_VALUE(Name) OVER (ORDER BY Salary) AS FirstValue FROM Employees FIRST_VALUE function example WITH partitions : In the following example, FIRST_VALUE function returns the name of the lowest paid employee from the respective partition. SELECT Name, Gender, Salary, FIRST_VALUE(Name) OVER (PARTITION BY Gender ORDER BY Salary) AS FirstValue FROM Employees Text version of the video http://csharp-video-tutorials.blogspot.com/2015/10/firstvalue-function-in-sql-server.html Slides http://csharp-video-tutorials.blogspot.com/2015/10/firstvalue-function-in-sql-server_6.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: 31500 kudvenkat
ODI 12c Tutorial Lesson 8 for Loading Data from Flat File (csv) to Table using ODI Mapping
 
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ODI 12c Tutorial Lesson 8 for Loading Data from Flat File (csv) to Table using ODI Mapping ODI 12c Tutorial ODI 12c Tutorial for beginners ODI Tutorial ODI Tutorial for Beginners
Views: 2072 TechLake
AskTom TV - densification of data in date ranges
 
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A video to help you understand the "thought process" behind answering AskTom questions. In this episode, we look at how to fill in the blanks with a range of dates. Original question: https://asktom.oracle.com/pls/apex/f?p=100:11:0::::P11_QUESTION_ID:9536337800346137139 blog: https://connor-mcdonald.com ========================================­­­­============== Copyright © 2017 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: 479 Connor McDonald
KISS series on Partitioning: 01 Our first partitioned table
 
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Welcome to the KISS video series on Partitioning, where we take a more developer-centric look at how partitioning can make our applications more successful. In this session, we look at how to create our very first range partitioned table Scripts: https://livesql.oracle.com/apex/livesql/file/content_EM2X7EIHU60Z888IOU53RF0EN.html ========================================­­============== Copyright © 2017 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: 1011 Connor McDonald
Informatica : Partitioning Basic Example - Part 1
 
08:22
Basic Example of Partitioning In Informatica
Views: 52924 Mandar Gogate
SQL Aggregation queries using Group By, Sum, Count and Having
 
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From SQL Queries Joes 2 Pros (Vol2) ch4.1. Learn up to write aggregated queries.
Views: 162015 Joes2Pros SQL Trainings
Lead and Lag functions in SQL Server 2012
 
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In this video we will discuss about Lead and Lag functions. Lead and Lag functions Introduced in SQL Server 2012 Lead function is used to access subsequent row data along with current row data Lag function is used to access previous row data along with current row data ORDER BY clause is required PARTITION BY clause is optional Syntax LEAD(Column_Name, Offset, Default_Value) OVER (ORDER BY Col1, Col2, ...) LAG(Column_Name, Offset, Default_Value) OVER (ORDER BY Col1, Col2, ...) Offset - Number of rows to lead or lag. Default_Value - The default value to return if the number of rows to lead or lag goes beyond first row or last row in a table or partition. If default value is not specified NULL is returned. We will use the following Employees table for the examples in this video SQL Script to create the Employees table Create Table Employees ( Id int primary key, Name nvarchar(50), Gender nvarchar(10), Salary int ) Go Insert Into Employees Values (1, 'Mark', 'Male', 1000) Insert Into Employees Values (2, 'John', 'Male', 2000) Insert Into Employees Values (3, 'Pam', 'Female', 3000) Insert Into Employees Values (4, 'Sara', 'Female', 4000) Insert Into Employees Values (5, 'Todd', 'Male', 5000) Insert Into Employees Values (6, 'Mary', 'Female', 6000) Insert Into Employees Values (7, 'Ben', 'Male', 7000) Insert Into Employees Values (8, 'Jodi', 'Female', 8000) Insert Into Employees Values (9, 'Tom', 'Male', 9000) Insert Into Employees Values (10, 'Ron', 'Male', 9500) Go Lead and Lag functions example WITHOUT partitions : This example Leads 2 rows and Lags 1 row from the current row. When you are on the first row, LEAD(Salary, 2, -1) allows you to move forward 2 rows and retrieve the salary from the 3rd row. When you are on the first row, LAG(Salary, 1, -1) allows us to move backward 1 row. Since there no rows beyond row 1, Lag function in this case returns the default value -1. When you are on the last row, LEAD(Salary, 2, -1) allows you to move forward 2 rows. Since there no rows beyond the last row 1, Lead function in this case returns the default value -1. When you are on the last row, LAG(Salary, 1, -1) allows us to move backward 1 row and retrieve the salary from the previous row. SELECT Name, Gender, Salary, LEAD(Salary, 2, -1) OVER (ORDER BY Salary) AS Lead_2, LAG(Salary, 1, -1) OVER (ORDER BY Salary) AS Lag_1 FROM Employees Lead and Lag functions example WITH partitions : Notice that in this example, Lead and Lag functions return default value if the number of rows to lead or lag goes beyond first row or last row in the partition. SELECT Name, Gender, Salary, LEAD(Salary, 2, -1) OVER (PARTITION By Gender ORDER BY Salary) AS Lead_2, LAG(Salary, 1, -1) OVER (PARTITION By Gender ORDER BY Salary) AS Lag_1 FROM Employees Text version of the video http://csharp-video-tutorials.blogspot.com/2015/10/lead-and-lag-functions-in-sql-server.html Slides http://csharp-video-tutorials.blogspot.com/2015/10/lead-and-lag-functions-in-sql-server_5.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: 46650 kudvenkat
part 10 modify partition add list values
 
01:30
alter table modify partition,add list values, list partition, data warehousing
KISS series on Analytics: 12 The RANGE option in WINDOWS
 
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Welcome to the KISS video series. Solving problems that typically required complicated SQL in the past, that can now be easily solved with Analytic SQL syntax. In this session, use the RANGE option within the WINDOW clause to perform a moving average Scripts: https://livesql.oracle.com/apex/livesql/file/content_CR93UBGK2U7OAW6K1EHTBBYHD.html Watch the entire Analytics playlist at https://www.youtube.com/playlist?list=PLJMaoEWvHwFJDyhMLCkNSSUQWw9waFkIj ========================================­­­­============== 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: 964 Connor McDonald
NTILE function in SQL Server
 
05:10
In this video we will discuss NTILE function in SQL Server NTILE function 1. Introduced in SQL Server 2005 2. ORDER BY Clause is required 3. PARTITION BY clause is optional 4. Distributes the rows into a specified number of groups 5. If the number of rows is not divisible by number of groups, you may have groups of two different sizes. 6. Larger groups come before smaller groups For example NTILE(2) of 10 rows divides the rows in 2 Groups (5 in each group) NTILE(3) of 10 rows divides the rows in 3 Groups (4 in first group, 3 in 2nd & 3rd group) Syntax : NTILE (Number_of_Groups) OVER (ORDER BY Col1, Col2, ...) SQL Script to create Employees table Create Table Employees ( Id int primary key, Name nvarchar(50), Gender nvarchar(10), Salary int ) Go Insert Into Employees Values (1, 'Mark', 'Male', 5000) Insert Into Employees Values (2, 'John', 'Male', 4500) Insert Into Employees Values (3, 'Pam', 'Female', 5500) Insert Into Employees Values (4, 'Sara', 'Female', 4000) Insert Into Employees Values (5, 'Todd', 'Male', 3500) Insert Into Employees Values (6, 'Mary', 'Female', 5000) Insert Into Employees Values (7, 'Ben', 'Male', 6500) Insert Into Employees Values (8, 'Jodi', 'Female', 7000) Insert Into Employees Values (9, 'Tom', 'Male', 5500) Insert Into Employees Values (10, 'Ron', 'Male', 5000) Go NTILE function without PARTITION BY clause : Divides the 10 rows into 3 groups. 4 rows in first group, 3 rows in the 2nd & 3rd group. SELECT Name, Gender, Salary, NTILE(3) OVER (ORDER BY Salary) AS [Ntile] FROM Employees What if the specified number of groups is GREATER THAN the number of rows NTILE function will try to create as many groups as possible with one row in each group. With 10 rows in the table, NTILE(11) will create 10 groups with 1 row in each group. SELECT Name, Gender, Salary, NTILE(11) OVER (ORDER BY Salary) AS [Ntile] FROM Employees NTILE function with PARTITION BY clause : When the data is partitioned, NTILE function creates the specified number of groups with in each partition. The following query partitions the data into 2 partitions (Male & Female). NTILE(3) creates 3 groups in each of the partitions. SELECT Name, Gender, Salary, NTILE(3) OVER (PARTITION BY GENDER ORDER BY Salary) AS [Ntile] FROM Employees Link for all dot net and sql server video tutorial playlists https://www.youtube.com/user/kudvenkat/playlists?sort=dd&view=1 Link for slides, code samples and text version of the video http://csharp-video-tutorials.blogspot.com/2015/10/ntile-function-in-sql-server.html
Views: 35662 kudvenkat
Logical Operators in Oracle | Oracle Tutorials for Beginners
 
09:26
Logical Operators in Oracle | Oracle Tutorials for Beginners Oracle Tutorials for Beginners Oracle Tutorials for Beginners Logical Operators in Oracle Logical Operators in Oracle AND OR NOT Operators in Ms SQL AND OR NOT Operators in SQL AND OR NOT Operators in Oracle SQL AND OR NOT logical operators in sql with examples relational operators in oracle sql operators relational operators in sql logical operators in dbms with examples comparison operators in sql sql logical functions operator in oracle sql arithmetic operators sql operators Logical Operators in Oracle Logical Operators in Oracle relational operators in sql logical operators in sql oracle sql logical operators in select logical operators in dbms with examples all operator in sql Logical Operators in Oracle sql bitwise operators
Views: 266 Oracle PL/SQL World

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