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Sparse index in DBMS

DBMS Indexing in DBMS - javatpoint

DBMS Indexing in DBMS - javatpoin

Sparse index. In the data file, index record appears only for a few items. Each item points to a block. In this, instead of pointing to each record in the main table, the index points to the records in the main table in a gap. Clustering Index. A clustered index can be defined as an ordered data file Sparse Index. It is an index record that appears for only some of the values in the file. Sparse Index helps you to resolve the issues of dense Indexing in DBMS. In this method of indexing technique, a range of index columns stores the same data block address, and when data needs to be retrieved, the block address will be fetched A sparse column cannot be used as a partition key of a clustered index or heap. However, a sparse column can be used as the partition key of a nonclustered index. A sparse column cannot be part of a user-defined table type, which are used in table variables and table-valued parameters. Sparse columns are incompatible with data compression What is Sparse Index: When there are large database tables and if we use the dense index, then its size increases, so the solution to this problem is sparse index. According to sparse index, index points to records in the main tables in the form of group. For example, one sparse index can point to more than one records of the main database tables Indexing in DBMS is used to optimize the performance of a database by minimizing the number of disk accesses required when a query is processed. It is a data structure technique that is used to quickly locate and access the data in a database

Indexing in DBMS: What is, Types of Indexes with EXAMPLE

Difference between dense index and sparse index, dense index versus sparse index Advanced Database Management System - Tutorials and Notes: Differentiate between dense index and sparse index Notes, tutorials, questions, solved exercises, online quizzes, MCQs and more on DBMS, Advanced DBMS, Data Structures, Operating Systems, Natural Language Processing etc Figure 11.3: Sparse index. Dense indices are faster in general, but sparse indices require less space and impose less maintenance for insertions and deletions In Dense Index, an index entry appears for every search-key whereas for Sparse index, an index entry appears for only some of the search-key values For every search key value in the data file, there is an index record. This record contains the search key and also a reference to the first data record with that search key value. Sparse Index: The index record appears only for a few items in the data file. Each item points to a block as shown

Indexing In DBMS Its Types With Proper Examples

Sparse Index. In order to address the issues of dense indexing, sparse indexing is introduced. In this method of indexing, range of index columns store the same data block address. And when data is to be retrieved, the block address will be fetched linearly till we get the requested data DBMS Indexing. We know that data in the form of records is stored. Sparse Index; Dense Index. In the dense index, for every key search value in the database, there is an index record. This makes searching quicker, but requires more space for index records to be stored on their own Sparse index. A sparse index in databases is a file with pairs of keys and pointers for every block in the data file. Every key in this file is associated with a particular pointer to the block in the sorted data file. In clustered indices with duplicate keys, the sparse index points to the lowest search key in each block. Reverse index

DBMS - Sparse vs. Dense IndexWatch more Videos at https://www.tutorialspoint.com/videotutorials/index.htmLecture By: Mr. Arnab Chakraborty, Tutorials Point I.. Indexed sequential access method (ISAM) ISAM method is an advanced sequential file organization. In this method, records are stored in the file using the primary key. An index value is generated for each primary key and mapped with the record. This index contains the address of the record in the file. If any record has to be retrieved based on its.

Um den Zeitaufwand für Transaktionen zu reduzieren, werden Indizes verwendet. Indizes ähneln Buchkatalogen in der Bibliothek oder ähneln sogar einem Index in einem Buch. Was es macht? Dies macht unsere Suche einfacher und schneller. Das gleiche Konzept wird hier in DBMS angewendet, um auf die Dateien aus dem Speicher zuzugreifen Sparse Index. In sparse index, index records are not created for every search key. An index record here contains a search key and an actual pointer to the data on the disk. To search a record, we first proceed by index record and reach at the actual location of the data A sparse (or nondense) index, on the other hand, has index entries for only some of the search values. A sparse index has fewer entries than the number of records in the file. Thus, a primary index is a nondense (sparse) index, since it includes an entry for each disk block of the data file and the keys of its anchor record rather than for every search value (or every record) Dense Index Sparse Index Dense Index In dense index, there is an index record for every search key value in the database. This makes searching faster but requires more space to store index records itself. Index records contain search key value and a pointer to the actual record on the disk. Sparse Index DBMSclassification indexing-Dense indexing-sparse indexing About Press Copyright Contact us Creators Advertise Developers Terms Privacy Policy & Safety How YouTube works Test new features © 2021.

Sparse Index. The sparse index is an index record that appears for only some of the values in the file. Sparse Index helps you to resolve the issues of dense indexing. In sparse indexing technique, a range of index columns stores the same data block address, and when data needs to be retrieved, this block address will be fetched Sparse Index Files (Cont.) Compared to dense indices: Less space and less maintenance overhead for insertions and deletions. Generally slower than dense index for locating records. Good tradeoff: sparse index with an index entry for every block in file, corresponding to least search-key value in the block ***Correction: Index records contain search key value and a pointer to the actual record on the disk In indexing, if there is one unique index entry corresponding to every record it is called dense indexing. If there are say records 200,201,202,..250. There will be an index entry for each of these records. In sparse indexing, in order to reduce.

GOOD NEWS FOR COMPUTER ENGINEERSINTRODUCING 5 MINUTES ENGINEERING SUBJECT :-Discrete Mathematics (DM) Theory Of Computation (.. Sparse key. d. Sparse index. View Answer Report Discuss Too Difficult! Answer: (b). Dense index. 77. If an index entry appears for only some of the search key values in the file, it is called as ________. a Want to get placed? Enroll to this SuperSet course for TCS NQT and get placed:http://tiny.cc/yt_superset Sanchit Sir is taking live class daily on Unacad.. Indexes as Access Paths (cont.) The index file usually occupies considerably less disk blocks than the data file because its entries are much smaller A binary search on the index yields a pointer to the file record Indexes can also be characterized as dense or sparse A dense index has an index entry for every search key value (and hence every record) in the data file. A sparse (or nondense. Sparse index in hindi DBMS in hindi - Indexing. November 28, 2019 November 28, 2019 by Hindi tutorials point. indexing in dbms in hindi, types of indexing in dbms in hindi, types of indexing kya hai in hindi,.

Use Sparse Columns - SQL Server Microsoft Doc

  1. DBMS_OUTPUT.put_line('Start FORALL INDICES OF'); -- This works fine with sparse collections. FORALL i IN INDICES OF l_tab INSERT INTO forall_test VALUES l_tab(i); END; / The forall_indices_of.sql script creates and populates a collection, but then deletes some elements making it sparse. It then performs a normal FORALL statement.
  2. Classification of Indexing. In the previous page we have seen one classification. Here we are going to discuss one more classification. Dense Index: For every records we are having one entry in the index file. Sparse Index: Only one record for each block we will have it in the index file
  3. Sparse Index Files: only index entries for some search key values are recorded. { To locate a record with search key value K, rst nd index Trees are used extensively in all DBMS. Dept. of Computer Science UC Davis 7. Indexes. ECS-165A WQ'11 12

Indexes that are sparse by Default¶. 2dsphere (version 2), 2d, geoHaystack, and text indexes are always sparse. sparse Compound Indexes¶. Sparse compound indexes that only contain ascending/descending index keys will index a document as long as the document contains at least one of the keys.. For sparse compound indexes that contain a geospatial key (i.e. 2dsphere, 2d, or geoHaystack index. In the sparse index, index records are not created for every search key. An index record here contains a search key and an actual pointer to the data on the disk. To search a record, we first proceed by index record and reach at the actual location of the data While creating the index, generally the index table is kept in the primary memory (RAM) and the main table, because of its size is kept in the secondary memory (Hard Disk). Theoretically, a table may contain millions of records (like the telephone directory of a large city), for which even a sparse index becomes so large in size that we cannot keep it in the primary memory

Platform to practice programming problems. Solve company interview questions and improve your coding intellec Slide 7 of 24 Slide 7 of 2 If you create indexes in all single attributes used in search conditions, the DBMS will access the table using an index scan, instead of a full table scan. For example, if you have an index for P_PRICE, the condition P_PRICE > 10.00 can be solved by accessing the index, instead of sequentially scanning all table rows and evaluating P_PRICE for each row Bitmap Indexing in DBMS. Difficulty Level : Medium; Last Updated : 20 Aug, 2019. Bitmap Indexing is a special type of database indexing that uses bitmaps. This technique is used for huge databases, when column is of low cardinality and these columns are most frequently used in the query

DBMS implementations are typically similar in complexity to two-tier client/server configurations. a. True b. False ANSWER. a. hash index b. sparse index c. B-tree index d. reverse index ANSWER. c. 46. Knowing the sparsity of a column helps you decide whether the use of is appropriate ii. Sparse Index • Indexing appears only some of the values in the database file. • Sparse Index helps you to resolve the issues of dense Indexing in DBMS. • In this method of indexing technique, a range of index columns stores the same data block address, and when data needs to be retrieved, the block address will be fetched Sparse Files are a type of computer file that allows for efficient storage allocation for large data. A file is considered to be sparse when much of its data is zero (empty data). Support for the creation of such files is generally provided by the File system Sparse Indexes. DynamoDB will only copy items from the primary index into a secondary index if the sort key value is present in the item. If the sort key is absent, the index will not contain that item and the index called a sparse index. Sparse indexes can be very useful to implement specific queries over a small subset of the table Sparse. A collection is sparse if there is at least one index value between the lowest and highest defined index values that is not defined. For example, a sparse collection has an element assigned to index value 1 and another to index value 10 but nothing in between. The opposite of a sparse collection is a dense one. Method

Indexing, Dense primary, Sparse, Clustered and secondary

  1. Sparse matrix is a matrix which contains very few non-zero elements. When a sparse matrix is represented with a 2-dimensional array, we waste a lot of space to represent that matrix. For example, consider a matrix of size 100 X 100 containing only 10 non-zero elements
  2. Sparse Index..... 58 Multilevel Index DBMS architecture can be seen as single tier or multi tier. n-tier architecture divides the whole system into related but independent n modules, which can be independently modified
  3. Chapter 12: Indexing and Hashing Basic Concepts Ordered Indices B+-Tree Index Files B-Tree Index Files Static Hashing Dynamic Hashing Comparison of Ordered

Indexing In DBMS - TECHARG

  1. Indexing in DBMS - Ordered Indices - Primary Index - Dense Index - Sparse Index - Secondary Index - Multilevel Indices - Clustering Index in Database - Free download as PDF File (.pdf), Text File (.txt) or read online for free. indexing in dbms
  2. ADVISE_SPARSITY Procedure. The ADVISE_SPARSITY procedure analyzes a fact table for sparsity using information about its dimensions provided by the ADD_DIMENSION_SOURCE procedure. It populates a table created by the SPARSITY_ADVICE_TABLE procedure with the results of its analysis
  3. DBMS Indexing We know that information in the DBMS files is stored in form of records. Every record is equipped with some key field, In sparse index, index records are not created for every search key. An index record here contains search key and actual pointer to the data on the disk
  4. SQL> declare 2 type n_array is table of varchar2(30) 3 index by binary_integer; 4 emp_names n_array; 5 s_time pls_integer; 6 e_time pls_integer; 7 begin 8 s_time := dbms_utility.get_time; 9 select ename 10 bulk collect into emp_names 11 from big_emp 12 where rownum <= 500; 13 dbms_output.put_line('bulk collect elapsed time = ' 14 ||to_char(dbms_utility.get_time - s_time)); 15 s_time := dbms.
  5. begin for i in 1, repeat i*5 while i < 1000 loop dbms_output.put_line(i); end loop; end; / 1 5 25 125 625 PL/SQL procedure successfully completed. SQL> Collection Iteration Control. The VALUES OF, INDICES OF and PAIRS OF iteration controls derive their index values from collections, allowing us to easily deal with sparse collections
  6. View DBMS - Indexing - Tutorialspoint.pdf from COMPUTER S 123 at Machakos University. 11/22/2019 DBMS - Indexing - Tutorialspoint DBMS - Indexing We know that data is stored in the form of records

Nozioni di base sull'indicizzazione: per ridurre il tempo impiegato nelle transazioni, vengono utilizzati gli indici. Gli indici sono simili ai cataloghi di libri in biblioteca o anche come un indice in un libro It is the responsibility of DBMS to store and manage the new records. Insertion of new record - Suppose we have four records in the heap R1, R5, R6, R4 and R3 and suppose a new record R2 has to be inserted in the heap then, since the last data block i.e data block 3 is full it will be inserted in any of the data blocks selected by the DBMS, lets say data block 1 Learn DBMS DBMS again is very important subject of computer science courses and is well asked in various placement exams both in the online tests as MCQ's and also in Interviews for various companies. Most Data Science companies have DBMS as requirement for you to learn. Introduction What is Data What is Database What is [ 3 DBMS_AW. The DBMS_AW package provides procedures and functions for interacting with analytic workspaces. With DBMS_AW, you can:. Create, delete, copy, rename, and update analytic workspaces. Convert analytic workspaces from Oracle9 i to Oracle 10 g storage format.. Attach analytic workspaces for processing within your session In this article, we are going to discuss about the file organization, methods of organising a file, introduction of indexing and types of indexing in database management system. Submitted by Prerana Jain, on July 21, 2018 . File Organization. A drawback of normalization is that the number of tables increases in the database and for a simple query some time more than 2-3 tables are required.

DBMS - Hashing - For a huge database structure, it can be almost next to impossible to search all the index values through all its level and then reach the destination data blo Dense Index Num. Example of Dense Index Data file = 1,000,000 tuples that fit 10 at a time into a block of 4096 bytes (4KB) 100,000 blocks data file = 400 MB Index file: Key 30 Bytes, pointer 8 Bytes 100 (key,pointer) pairs in a block 10,000 blocks = 40 MB index file might fit into main memory Num. Example of Sparse Index Data file and block sizes as before One (key,pointer) record for the. DBMS Hashing with DBMS Overview, DBMS vs Files System, DBMS Architecture, Three schema Architecture, DBMS Language, DBMS Keys, DBMS Generalization, DBMS Specialization, Relational Model concept, SQL Introduction, Advantage of SQL, DBMS Normalization, Functional Dependency, DBMS Schedule, Concurrency Control etc

Ordered Indices Assignment Help | Ordered Indices Homework

In a _____ clustering index, the index record contains the search-key value and a pointer to the first data record with that search-key value and the rest of the records will be in the sequential pointers. a. Dense: b. Sparse: c. Straight: d. Continuou Dense vs. Sparse Index • Dense: at least one data entry per key value • Basu, 33, 4003 Sparse: an entry per data page in file - Every sparse index is clustered! - Sparse indexes are smaller; however, some useful optimizations are based on dense indexes. Ashby, 25, 3000 Smith, 44, 3000 Ashby Cass Smith 22 25 30 40 44 44 50 Sparse Index

Indexing in DBMS - Ordered Indices - Primary Index - Dense

Differentiate between dense index and sparse inde

The main goal of designing the database is faster access to any data in the database and quicker insert/delete/update to any data. This is because no one likes waiting. When a database is very huge, even a smallest transaction will take time to pe.. Indexing, Dense primary, Sparse, Clustered and secondary index in DBMS First Normal form in DBMS Super, Alternate, Candidate, Primary, Composite, Foreign Key in DBMS Sparse index: index entry for each page of data file . Sparse Index . Multiple Attribute Search Key. CREATE INDEX Inx ON Tbl (att1, att2) Search key is a sequence of attributes; index entries are lexically ordered. Supports finer granularity equality search: Find row with value (A1, A2) DBMS - File Structure - Relative data and information is stored collectively in file formats. Heap File does not support any ordering, sequencing, or indexing on its own. Sequential File Organization. Every file record contains a data field (attribute) to uniquely identify that record SQL Overview - SQL is a programming language for Relational Databases. It is designed over relational algebra and tuple relational calculus. SQL comes as a package with all m

Using the Sparsity Advisor. Take these steps to use the Sparsity Advisor: Call SPARSITY_ADVICE_TABLE to create a table for storing the evaluation of the Sparsity Advisor.. Call ADD_DIMENSION_SOURCE for each dimension related by one or more columns to the fact table being evaluated.. The information that you provide about these dimensions is stored in a DBMS_AW$_DIMENSION_SOURCES_T variable Image Dense Index S PARSE I NDEX In sparse index index records are not created from IT 1 at The Institute of Chartered Accountants of Indi DBMS B+ Tree with DBMS Overview, DBMS vs Files System, DBMS Architecture, Three schema Architecture, DBMS Language, DBMS Keys, DBMS Generalization, DBMS Specialization, Relational Model concept, SQL Introduction, Advantage of SQL, DBMS Normalization, Functional Dependency, DBMS Schedule, Concurrency Control etc

Dense and Sparse Indices - Simon Fraser Universit

sql - Difference between sparse index and dense index

Sparse Index. index에 data block이 매칭된다. 느슨한 인덱스; block 속에서 진짜 자기가 원하는 값을 찾아야 한다. data를 fragnation이 일어나지 않고, 효율성을 높이기 위해서 블록 단위로 놓는 것이다. Composite Index. 여러개의 column에 indexin Client-server Database Architecture in DBMS; Data Independence in DBMS (Database) History of Database System (DBMS) Case Studies Examples Scenarios Database System DBMS; Indexing, Dense primary, Sparse, Clustered and secondary index in DBMS; First Normal form in DBMS DBMS Tutorial | Database Management System | What is Database with DBMS Overview, DBMS vs Files System, DBMS Architecture, Three schema Architecture, DBMS Language, DBMS Keys, DBMS Generalization, DBMS Specialization, Relational Model concept, SQL Introduction, Advantage of SQL, DBMS Normalization, Functional Dependency, DBMS Schedule, Concurrency Control etc If indexes are so important, why not index every column in every table? (Include a brief discussion of the role played by data sparsity.) Indexing every column in every table will tax the DBMS too much in terms of index-maintenance processing, especially if the table has many attributes, many rows, and/or requires many inserts, updates, and/or deletes

Indexing in Databases Set 1 - GeeksforGeek

Dbms book-special-notes

Indexing in DBMS - Ordered Indices - Primary Index - Dense

Sparse Index - ML Wiki

DBMS Indexing - Phptpoin

Construction¶. A sparse COO tensor can be constructed by providing the two tensors of indices and values, as well as the size of the sparse tensor (when it cannot be inferred from the indices and values tensors) to a function torch.sparse_coo_tensor(). Suppose we want to define a sparse tensor with the entry 3 at location (0, 2), entry 4 at location (1, 0), and entry 5 at location (1, 2) Actually, I'd suggest investigating why index hints are being considered as required in the first place. If it's to try and improve performance, then I'd look at where the performance bottlenecks are and what has caused those. i.e. is it incorrect indexing? is it stale statistics? is it poor relational table design? and then tackle the underlying issue so that performance hints aren't required.

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Database index - Wikipedi

scipy.sparse.csr_matrix.nonzero¶ csr_matrix.nonzero (self) [source] ¶ nonzero indices. Returns a tuple of arrays (row,col) containing the indices of the non-zero elements of the matrix Sequence is a feature supported by some database systems to produce unique values on demand. Some DBMS like MySQL supports AUTO_INCREMENT in place of Sequence.. AUTO_INCREMENT is applied on columns, it automatically increments the column value by 1 each time a new record is inserted into the table.. Sequence is also some what similar to AUTO_INCREMENT but it has some additional features too

DBMS - Sparse vs. Dense Index - YouTub

A Database Management System (DBMS) is a set of computer programs that controls the creation, maintenance, and the use of the database of an organization and its end users. It allows organizations to place control of organization-wide database development in the hands of database administrators (DBAs) and other specialists. DBMSes may use any of a variety of database models, such as the. It is difficult to gather stats on large partition tables which is huge in size, specially in core domain like telecom sectors where customers has to maintain call detail records in a partitioned table which are very big and huge in size So Normalization in DBMS can be defined as the process which eliminates the redundancy from the data and ensures data integrity. Also, the normalization of data helps in removing the insert, update and delete anomalies You can't update a first_name to a string of 1000 or 3000 bytes. But without SAVE EXCEPTIONS we never get past the third element in the bind array

So if you have an array with holes between index 0 through 100, and an element at index 101, the length will return 101, as it's the last index + 1. The above happens regardless of how many elements are in the Array. The spec specifically details this behavior if you want to read more on the ECMAScript spec here. How do you get a sparse array Sparse indexes. With the SELECT / OMIT clause in DDS-keyed logical files, the number of records to be returned and accessed can be reduced, but the definition is rather cryptic and restricted. Beginning with IBM i 6.1, sparse indexes were introduced permitting a WHERE clause to be used on the CREATE INDEX statement

MySQL What is DDL, DML and DCL? - SQL commands are divided into four subgroups, DDL, DML, DCL, and TCL. Here are described in detail Execute privileges on dbms_utility, dbms_sql, and utl_raw are granted to the public role by default in Oracle.Therefore, you only need to grant execute privileges on these packages if you explicitly revoked them from public Keys and indexes are not used in DBMS. On the contrary, in RDBMS these are used to establish a relationship between the tables. DBMS does not impose constraints on ACID properties. Conversely, RDBMS impose constraints in order hold ACID properties. Dbase, Microsoft Access, LibreOffice Base and ForPro are some of the examples of DBMS The DBMS_STATS package can gather statistics on table and indexes, and well as individual columns and partitions of tables. When you generate statistics for a table, column, or index, if the data dictionary already contains statistics for the object, then Oracle updates the existing statistics

SQL Indexes MCQ Questions & Answers . Indexes MCQs : This section focuses on the Indexes in SQL. These Multiple Choice Questions (MCQ) should be practiced to improve the SQL skills required for various interviews (campus interview, walk-in interview, company interview), placements and other competitive examinations What Is a DBMS? A very large, integrated collection of data. Models real-world enterprise. Entities (e.g., students, courses) Relationships (e.g., Madonna is taking CS564) A Database Management System (DBMS) is a software package designed to store and manage databases. Database Management Systems 3ed, R. Ramakrishnan and J. Gehrke 3 Files vs. DBMS cuSPARSELt: A High-Performance CUDA Library for Sparse Matrix-Matrix Multiplication¶. NVIDIA cuSPARSELt is a high-performance CUDA library dedicated to general matrix-matrix operations in which at least one operand is a sparse matrix 5 WHITE PAPER / The Optimizer in Oracle Database 19c The steps can be summarized as follows: Capture Periodically capture SQL statements from the application workload in a SQL tuning set. This tuning set called the automatic SQL tunin The Keras API lets you pass sparse tensors as inputs to a Keras model. Set sparse=True when calling tf.keras.Input or tf.keras.layers.InputLayer. You can pass sparse tensors between Keras layers, and also have Keras models return them as outputs. If you use sparse tensors in tf.keras.layers.Dense layers in your model, they will output dense.

Sl.No Chapter Name MP4 Download; 1: Lecture 1: Course Overview: Download: 2: Lecture 2 : Introduction to DBMS/1: Download: 3: Lecture 3 : Introduction to DBMS/ A Database Administrator, Database Analyst or Database Developer is the person responsible for managing the information within an organization. As most companies continue to experience inevitable growth of their databases, these positions are probably the most solid within the IT industry This is part 1 of a series of articles which will analyze execution times of sparse matrices and their dense counterparts in Pytorch. Part 1 deals with CPU execution times, while part 2 extends to GPUs. Let me first give a quick introduction to concepts before diving into the meat

DBMS Indexed Sequential Access Method - javatpoin

DBMS extracts data from a database in the form of queries given by the user. 3. Mention the issues with traditional file-based systems that make DBMS a better choice? The absence of indexing in a traditional file-based system leaves us with the only option of scanning the full page and hence making the access of content tedious and super slow Advantages of DBMS over file system By Chaitanya Singh | Filed Under: DBMS In this guide, we will discuss what is a file processing system and how Database management systems are better than file processing systems To use a DBMS repository you need to create a database and then the Enterprise Architect schema which consists of a collection of tables. Generally speaking the creation and modification of database definitions is performed by a user (typically a DBA) with an elevated level of security, therefore these types of tasks are handled outside of Enterprise Architect the application In this MCQ Questions set you will get 10 Multiple Choice Questions related to the category of Database Management System (DBMS).Four possible answers are given to each questions but only one is the correct answer, select your answer and check with the correct answer given below of this MCQ Questions Set

Indizierung in DBMS - Geordnete Indizes - Primärindex

Deadlock: In a deadlock, two database operations wait for each other to release a lock. A deadlock occurs when two users have a lock, each on a separate object, and, they want to acquire a lock on each other's object A DBMS generally manipulates the data itself, the data format, field names, record structure and file structure. It also defines rules to validate and manipulate this data. Database management systems are set up on specific data handling concepts, as the practice of administrating a database evolves

DBMS - Indexing Edu Skill

Cursors. A cursor is a temporary work area created in the system memory when a SQL statement is executed. A cursor contains information on a select statement and the rows of data accessed by it DBMS questions and answers with explanation for interview, competitive examination and entrance test. Fully solved examples with detailed answer description, explanation are given and it would be easy to understand. 100+ DBMS Questions and Answers in Database Management System with explanations are provided on this page

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