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System R: Relational Approach to Database Management

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Title: System R: Relational Approach to Database Management


1
System R Relational Approach to Database
Management
  • CIS 661 Data Management
  • Course Instructor Vasilis Megalooikonomou
  • By
  • Sarika Notani

2
Contents
  • Introduction
  • Architecture System Structure
  • Relational Data System
  • Host Language Interface
  • Query Facilities
  • Data Manipulation Facilities
  • Data Definition Facilities
  • Data Control Facilities
  • Optimizer
  • Modifying Cursors
  • Simulation of Nonrelational Data Models

3
Contents
  • Relational Storage System
  • Segments
  • Relations
  • Images
  • Links
  • Transaction Management
  • Concurrency Control
  • System Checkpoint and Restart
  • Summary and Conclusion

4
Introduction
  • System R is a database management system which
    provides a high level relational data interface.
  • Why a relational approach? (advantages)
  • To provide solutions to various problems in
    database management. For example
  • Data independence problems.
  • Providing database user with a very high level,
    non-
  • procedural data sublanguage for accessing data.
  • Currently being implemented and evaluated at the
    IBM San Jose Research Laboratory.

5
Introduction
  • Permits definition of a variety of relational
    views on common underlying data.
  • Includes data control features like
  • Authorization
  • Integrity assertions
  • Triggered transactions
  • Logging and recovery subsystem
  • Facilities for maintaining data consistency in a
    shared-update environment

6
Introduction
  • Comparison with other Relational Systems
  • It is the only relational system which provides
    a complete database management capabilities-includ
    ing application programming, query capability,
    concurrent access support, system recovery etc.
  • Other systems provide solutions to various
    specific problems only. E.g.. The extended
    relational memory (XRM) system developed at the
    IBM Cambridge Scientific center has been used as
    a single user access method by other relational
    systems.

7
Architecture and System Structure
  • Can be described from two viewpoints
  • System as seen by a single transaction
    (monolithic)
  • System as seen by multi-users
  • Current operating system environment is VM/370.
  • Implements technique for the selective sharing
    of read/write virtual memory across any number of
    virtual machines through processor interrupts-
    supports multi-user.
  • Supports concurrent transactions-for each
    logged-on user there is a dedicated database
    machine which contains all code and tables needed
    to execute all data management functions.

8
Architecture and System Structure
  • Monitor machine
  • Contains system administrator facilities like
  • Controls logon authorization
  • Schedules periodic checkpoints
  • Maintains usage and performance statistics for
    reorganization and accounting purposes

9
Architecture and System Structure
RDS
RSS
M1
Programs to support various interfaces
. . .
. . .
M n
RDI
Relational Data System
Monitor
RSI
Relational Storage System
Architecture of System R
Use of Virtual Machines in System R
10
Relational Data System
  • Relational Data Interface (RDI)
  • Principal external interface which can be called
    directly from a programming language or used to
    support various emulators and other interfaces.
  • Functions
  • Data retrieval
  • Data manipulation and definition- By high level
    SEQUEL language which is embedded within RDI
  • Data definition allows a variety of alternative
    relational views to be defined on common
    underlying data.
  • Data control

11
Relational Data System
  • The SEQUEL language can be supported
  • As a stand-alone interface by a simple program,
    written on top of RDI it handles terminal
    communications-Such an interface is called
    User-Friendly Interface (UFI)
  • Programs may be written on top of the RDI to
    support other relational interfaces, such as
    Query By Example.

12
Host Language Interface
  • RDI Operators
  • SEQUEL associates a cursor with the set of
    tuples which satisfy the query position it just
    before the first such tuple.
  • No tuples are actually materialized.
  • FETCH Retrieves tuple, one at a time.
  • BIND gives the system the addresses of the
    program variables to be used into which the
    resulting tuples are to be delivered. Here, the
    degree data types of the tuples to be retrieved
    is known.
  • CALL BIND (X, ADDR (X))
  • CALL SEQUEL (C1, SELECT NAMEX
  • FROM EMP WHERE JOB CLERK )
  • CALL FETCH (C1)
  • In case, the degree data are not known, the
    program issues a SEQUEL query, followed by
    DESCRIBE operator-(returns the degree data
    types). Then specify the destination of the
    tuples in FETCH commands.

13
Host Language Interface
  • OPEN shorthand method to associate a cursor
    with an entire relation
  • preferable to SEQUEL to open a cursor on a
    relation as OPEN avoids the use of the SEQUEL
    parser.
  • CLOSE deactivates a cursor
  • KEEP tuples identified by a cursor are copied
    to form a new permanent relation in the database,
    having specified relation name field name
  • FETCH-HOLD for explicit locking
  • Same as FETCH except that it acquires a hold
    on the tuple returned
  • RELEASE Releases the tuple on which the cursor
    is positioned. If no cursor is furnished, it
    releases all tuples currently held by the user.

14
Query Facilities
  • One important change made to the SEQUEL Query
    facilities since their original publication is
    handling of Block labels, which were replaced by
    more symmetrical notation.
  • JOIN Operator Joins table in the FROM clause
    Joins row in the WHERE clause
  • Queries are processed in the following order
  • Tuples are selected by the WHERE clause
  • Groups are formed by the GROUP BY clause
  • Groups are selected which satisfy the HAVING
    clause
  • ORDER BY Allows user to specify a value
    ordering for his query result.

15
Query Facilities
  • OF CURSOR ON Allows a query to qualify tuples
    by comparing them with the current tuple of some
    active cursor SELECT FROM EMP WHERE DNO DNO
    OF CURSOR C5 ON DEPT
  • Since elimination of duplicates from a query
    result is an expensive process, RDS does not
    eliminate duplicates unless explicitly requested
    (UNIQUE).

16
Data Manipulation Facilities
  • Insertion
  • Deletion
  • Update
  • CURRENT TUPLE OF CURSOR a predicate which
    selects the current tuple of a particular cursor
    for some operation.
  • CALL SEQUEL (UPDATE EMP
  • SET SAL PVSAL WHERE CURRENT TUPLE OF
    CURSOR C3)
  • BIND sets value of the tuple to constants, or
    to new values computed from the old values, or to
    the content of a program variable
  • INSERT provide only some of the values for the
    new tuples, specifying the field names. Fields
    which are not provided are set to null.
  • ASSIGNMENT same as KEEP.

17
Data Definition Facilities
  • Invoked by RDI operator SEQUEL
  • SEQUEL commands
  • CREATE TABLE creates new base relation
  • DROP TABLE it deletes base relation
  • DEFINE VIEW used to define a view as a relation
    derived from one or more relations. Queries can
    be written against it, other views may be defined
    on it and may be updated if the tuples of the
    view are associated one-to-one with tuples of an
    underlying base relation.
  • KEEP TABLE causes a temporary table to become
    permanent
  • Temporary tables are destroyed when the user who
    creates them logs off.
  • EXPAND TABLE adds a new field to an existing
    table
  • all views, images and links defined on the
    original table are retained.

18
Data Definition Facilities
  • DROP VIEW indicated view and all other views
    defined in terms of it disappear from the system.
  • System R currently relies on the user to specify
    RSS access paths to be maintained on the base
    tables.
  • Access path include images and binary link which
    may be specified by means of create and drop
  • They do not contain any logical information
    other than that derivable from the data values
    themselves
  • RDI user has no explicit control over the
    placement of tuples in images and links nor can
    explicitly use an image or link for accessing
    data- all choices are made automatically by the
    optimizer.

19
Data Control Facilities
  • Has four aspects
  • Transactions
  • Is a series of RDI calls which the user wishes
    to be processed as an atomic act.
  • User controls transactions by BEGIN_TRANS and
    END_TRANS.
  • SAVE to save points within a transaction
  • RESTORE back up to the beginning of transaction
    or to any internal save point. It restores
    changes made to the database and cursors
    involved.
  • The RDI transactions are implemented directly by
    RSI transactions.

20
Data Control Facilities
  • Authorization
  • CREATE TABLE, DEFINE VIEW each user creates his
    own data object. Creator receives full
    authorization to perform all operations on the
    object.
  • GRANT Grant selected capabilities for his
    object to other users.
  • System R relies on its view mechanism for read
    authorization-USER interpreted as the user id of
    the current user.
  • Integrity assertions
  • ASSERT when made, its truth is checked and if
    true assertion is automatically enforced.
  • ASSERT ON UPDATE TO EMP NEW SAL gt OLD SAL
  • DROP ASSERTION assertion is explicitly dropped.
  • Are checked and enforced at the end of each
    transactions.

21
Data Control Facilities
  • IMMEDIATE Assertion cannot be suspended within
    a transaction and is enforced after each data
    modification (each RDI call).
  • ENFORCED INTEGRITY establishes integrity
    points within a transaction.
  • Trigger
  • Causes a pre specified sequence of SEQUEL
    statements to be executed whenever some
    triggering event occurs.
  • The RDS automatically maintains a set of catalog
    relations which describe other relations, views,
    images, links and triggers.
  • DEFINE TRIGGER EMPINS ON INSERTION OF EMP
  • (UPDATE DEPT
  • SET NEMPS NEMPS 1 WHERE DNO NEW EMP. DNO)

22
Optimizer
  • Attempts to minimize the expected number of
    pages to be fetched from secondary storage into
    the RSS buffers during execution of the
    statements.
  • Since cost measure is based on disk page
    accesses, the physical clustering of tuples in
    the database is of great importance.
  • Each relation may have at most one clustering
    image- thats why tuples near each other in the
    image ordering are stored physically near each
    other in the database.
  • Begins by classifying the SEQUEL statement
    according to features like join and GROUP BY.

23
Optimizer
  • It then examines system catalogs to find the set
    of images and links related to the given
    statement.
  • A rough decision procedure is executed to find
    methods of executing the statement- if more then
    one method, minimum-cost method is chosen.
  • After analyzing the statement, the optimizer
    produces an Optimized Package (OP) containing the
    parse tree and a plan for executing the
    statement.

24
Modifying Cursors
  • When modification is made to one of the tuples
    in the active set of cursors it may change the
    ordinal position of the tuple or even disqualify
    it.
  • If a cursor is opened on a base relation the
    modification is done and immediately becomes
    visible via the cursor.
  • If the cursor is on result of a SEQUEL query
    then any modification in the underlying relation
    results in potentially invalid answer list.

25
Simulation of Nonrelational Data Models
Dept
EMP
Equip
26
Simulation of Nonrelational Data Models
  • The RDI is designed in such a way that programs
    can be written on top of it to simulate
    navigation oriented database interfaces.
  • These interfaces are characterized by
    collections of records connected in a network
    structure.
  • To represent each record as a relation and to
    represent information about ordering and
    connections between records in the form of
    explicit fields.
  • At database definition time, a relation is
    created to simulate each record type.
  • Each DEPT relation must have a sequence-number
    field to represent the ordering of the DEPT
    records.
  • The EMP and EQUIP relations must have
    sequence-number and one or more fields
    identifying their parent records (assume the
    key of DEPT is DNO).
  • During optimization process, any direct physical
    support for the hierarchy will be discovered.

27
The Relational Storage System
  • Calls to the RSI require explicit use of data
    areas called segments access paths called
    images links
  • Provides a degree of data independence at a low
    level of the system
  • RSI has been designed so that new relations,
    indexes, adding new fields to the existing
    relations can be created anytime, or existing
    ones destroyed, without quiescing the system
    without dumping reloading the system.
  • RSS include
  • Dynamic definition of new data types access
    paths
  • Dynamic binding unbinding of disk space to
    data segments
  • Efficient technique for system checkpoint
    restart

28
The Relational Storage System
  • Multiple levels of isolation from the actions of
    other concurrent usres
  • Automatic locking at the level of segments,
    relations single tuples
  • No parsing or optimization is done in response
    to a command to move the current position-
    system employs the POP for t he view which was
    optimized at database definition time.
  • System is capable of simulating connections
    which have no direct physical support optimizer
    will find an appropriate access path.

29
Segments
  • In the RSS, all data is stored in a collection
    of logical address spaces called segments which
    are employed to control physical clustering
  • Used to store data, access path structures,
    internal catalog information intermediate
    results generated by RDS
  • All tuples of any relation must reside within a
    single segment chosen by the RDS
  • A given segment may contain several relations
  • RSS has the responsibility for mapping logical
    segment spaces to physical extents on disk
    storage, for supporting system recovery
  • Within the RSS, each segment consist of a
    sequence of equal sized pages
  • Physical page slots in the disk extents are
    allocated to segments dynamically upon first
    reference are freed when access path structures
    or contents of the segment are destroyed the RSS
    maintains a page map for each segment, which is
    used to map each segment page to its location on
    disk

30
Segments
  • Two separate buffers are managed-for page map
    blocks other for segment pages themselves
  • To handle segment recovery, it associates two
    page maps, called current backup, with each
    recoverable segment
  • OPEN_SEGMENT makes the segment available for
    processing
  • SAVE_SEGMENT disk pages bound to segments are
    brought up to date by storing through all buffer
    pages which have been updated
  • RESTORE_SEGMENT current page is set equal to
    the backup page newly allocated page slots are
    released

31
Relations
  • The main data object of the RSS is the n -ary
    relation, which consists of time varying number
    of tuples, each containing n fields
  • A new relation can be defined at any time within
    any segment
  • An existing relation its associated access
    path structures can be dropped anytime ,with all
    storage space made reusable
  • New fields can be added ,even after a relation
    is defined, without a database reload without
    immediate modification to existing tuples
  • Two field types are supported fixed variable
    length
  • Operators
  • INSERT DELETE single tuples
  • FETCH UPDATE any fields in a tuple
  • OPEN_SCAN for fetching tuples on a particular
    access path

32
Relations
  • Associated with every tuple of a relation is a
    tuple-identifier or TID
  • Each tuple is generated by RSS is available to
    the RDS for addressing tuples
  • Each tuple is stored as a contiguous sequence of
    field values within a single page
  • A prefix is stored with the tuple within
    RSS-contains information like relation
    identifier, TIDs, no of stored data fields no
    of pointer fields
  • Each tuple identifier is a concatenation of a
    page number within the segment, along with a byte
    offset from the bottom of the page

33
Images
  • Is a logical reordering of an n- ary relation
    with respect to values in one or more sort fields
  • RDS can rapidly fetch a tuple from an image by
    keying on the sort field values
  • Can also open a scan at a particular point in
    the image retrieve a sequence of tuples or
    subtuples with a given range of sort values
  • A new image can be defined at any time on any
    combination of fields in a relation
  • RSS maintains each image through the use of a
    multi page index structure
  • Each index is composed of one or more pages
    within the segment containing the relation

34
Links
  • A link in the RSS is an access path which is
    used to connect tuples in one or two relations
  • RDS determines which tuples will be on the a
    link determines their relative position through
    explicit CONNECT DISCONNECT operations
  • A link can be scanned using OPEN_SCAN NEXT
    opeartion
  • A unary link involves a single relation is
    used to maintain tuple ordering specifications
  • Access path is a binary link which provides a
    path from single tuples (parents) in one relation
    to sequences of tuples (children) in another
    relation-imp for supporting relational join
    operations for navigational processing through
    network
  • A given tuple can appear only once within a
    given link
  • Advantages
  • When the child tuple have been clustered on the
    same page as the parent, no extra pages are
    touched using the link-fast associative access
  • Links are maintained in the RSS by storing TIDs
    in the prefix of tuples
  • New links can be defined an existing link can
    be dropped at anytime

35
Transaction Management
  • Is a sequence of RSI calls issued in behalf of
    one user
  • Serves as a unit of consistency recovery
  • RSS transaction consists of those calls
    generated by the RDS to execute all RDI operators
    in the transaction
  • An RSS transaction is marked by the START_TRANS
    END_TRANS operations
  • SAVE_TRANS returns a save point number for
    subsequent reference.
  • RESTORE_TRANS issued by monitor or RDS, to undo
    all the changes made by that transaction to
    recoverable data since the given save point

36
Concurrency Control
  • Since System R is a concurrent user system,
    locking techniques must be employed for
    synchronization, both at physical level of pages
    logical level of objects like relations
    tuples
  • At the logical level, lost update problem must
    be handled
  • Physical locking is handled by setting holding
    locks on one or more pages during the execution
    of a single RSI operation
  • Logical locking is handled by setting locks on
    segments, relations, TIDs key value intervals
    holding them until they are explicitly released
    or at the end of transaction
  • System R automates all the locking functions,
    physical logical
  • When a transaction is started at the RSI, one of
    the three consistency levels must be specified.
    The differences in the level occur during read
    operations
  • Level 1 offers least isolation from user,
    lowest overhead lock contention-no locks
    required for read purposes
  • Level 2 read access require a share lock with
    immediate duration

37
Concurrency Control
  • Level 3 eliminates the problem of lost updates
    also guarantees reading a consistent version
    of tuples- share locks maintained on all tuples
    index values for the duration of transaction
  • The RSS employs a single lock mechanism to
    synchronize access to all objects
  • A request to lock an object has several
    parameters the name of the object, the mode of
    the lock (shared/exclusive etc), the indication
    of the lock duration-depends on type of the
    action requested by the user the level of
    transaction
  • If the RDS requests a lock in exclusive mode on
    a single relation but do not wish exclusive
    access to the entire segment, then RSS first
    generates a request for a lock in
    intent-exclusive mode on the segment, before
    requesting an exclusive lock on the relation
  • This intent-exclusive lock is compatible with
    other intent locks but incompatible with share
    exclusive locks

38
System Checkpoints Restart
  • The RSS provides functions to recover the
    database to a consistent state in the event of a
    system crash
  • First mechanism uses disk storage to recover in
    the event of soft failure which causes the
    contents of main memory to be lost-frequent
    checkpoints rapid recovery
  • Second mechanism uses tape storage to recover in
    relatively infrequent case that disk storage is
    destroyed-less frequent checkpoint
  • The Monitor Machine schedules checkpoints
  • When a checkpoint is required, it quiesces all
    activity within RSS at a point of physical
    consistency
  • To halt RSS activity, a special RSS lock is
    acquired in exclusive mode which every activation
    of the RSS code acquires in share mode before
    executing an RSI operation, releases at the end
    of the operation
  • Then Monitor issues SAVE_SEGMENT operator to
    bring relevant segments up to date. Then, RSS
    lock is released transactions are allowed to
    resume
  • RESTORE_SEGMENT restore contents of all saved
    segments

39
Summary and Conclusion
  • Described the overall architecture of System R
    and two main component RDS and RSS.
  • RSS is a concurrent user, data management
    subsystem which provides underlying support for
    System R.
  • RSI has operation at single tuple level, with
    maintenance of images, based on the values in one
    or more fields.
  • RSS supports dynamic addition and deletion of
    relations, indexes and links, with full space
    reclamation, and the addition of new fields to
    existing relations all without special
    utilities or database reorganization.
  • Optimizer makes plans for efficient execution of
    high level operations using the RSS access path
    primitives.
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