Db lec 08_new

+
Dr Ramadan Babers
Faculty of Science - Helwan University
Fall-2018
D B
LEC-8
+
Indexing
2
Introduction
3
 we need to check all First_Name (Table full scan)
(if equal not equal “Ibrahim”)
 If we have 1,000,000 records & we can check 10,000 per
second
 So, we will need 100 seconds to get the result of pervious
select statement.
 Indexing mechanisms used to speed up access to
desired data.
Introduction
4
Indexing mechanisms used to speed up access to desired data.
Indexing
5
 Indexing is a way to optimize performance of a
database by minimizing the number of disk accesses
required when a query is processed.
 An index or database index is a data structure which
is used to quickly locate and access the data in a
database table.
Indexing
6
 We know that data is stored in the form of records.
 Every record has a key field, which helps it to be
recognized uniquely.
Indexing Types
7
Indexing is defined based on its indexing attributes. Indexing can be of
the following types:
 Primary Index: Primary index is defined on an ordered data file.
The data file is ordered on a key field. The key field is generally
the primary key of the relation.
 Secondary Index: Secondary index may be generated from a
field which is a candidate key and has a unique value in every
record, or a non-key with duplicate values.
 Clustering Index: Clustering index is defined on an ordered data
file. The data file is ordered on a non-key field.
Ordered Indexing Types (non-key field)
8
Ordered Indexing is of two types:
1- Dense Index
2- Sparse Index
Dense Index
9
• 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
10
• One index entry for each
block
• To search a record, we
first proceed by index
record and reach at the
actual location of the data.
• If the data we are looking
for is not where we
directly reach by
following the index, then
the system starts
sequential search until the
desired data is found.
1 de 10

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Db lec 08_new

  • 1. + Dr Ramadan Babers Faculty of Science - Helwan University Fall-2018 D B LEC-8
  • 3. Introduction 3  we need to check all First_Name (Table full scan) (if equal not equal “Ibrahim”)  If we have 1,000,000 records & we can check 10,000 per second  So, we will need 100 seconds to get the result of pervious select statement.  Indexing mechanisms used to speed up access to desired data.
  • 4. Introduction 4 Indexing mechanisms used to speed up access to desired data.
  • 5. Indexing 5  Indexing is a way to optimize performance of a database by minimizing the number of disk accesses required when a query is processed.  An index or database index is a data structure which is used to quickly locate and access the data in a database table.
  • 6. Indexing 6  We know that data is stored in the form of records.  Every record has a key field, which helps it to be recognized uniquely.
  • 7. Indexing Types 7 Indexing is defined based on its indexing attributes. Indexing can be of the following types:  Primary Index: Primary index is defined on an ordered data file. The data file is ordered on a key field. The key field is generally the primary key of the relation.  Secondary Index: Secondary index may be generated from a field which is a candidate key and has a unique value in every record, or a non-key with duplicate values.  Clustering Index: Clustering index is defined on an ordered data file. The data file is ordered on a non-key field.
  • 8. Ordered Indexing Types (non-key field) 8 Ordered Indexing is of two types: 1- Dense Index 2- Sparse Index
  • 9. Dense Index 9 • 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.
  • 10. Sparse Index 10 • One index entry for each block • To search a record, we first proceed by index record and reach at the actual location of the data. • If the data we are looking for is not where we directly reach by following the index, then the system starts sequential search until the desired data is found.