Data Protection in Teradata and Teradata Utilities Overview

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Transcript of Data Protection in Teradata and Teradata Utilities Overview


  • Different data protection methods in TeradataTransient Journal

    RAID Protection




    Permanent Journals

    Locking for data integrity

  • Transient JournalThe transient journal permits the successful rollback of a failed transactionIn case a transaction fails, the data is returned to its original state after transaction failureThe transient journal maintains a copy on each AMP of before images of all rows affected by the transactionIf the transaction fails, the before images are reapplied and rollback operation is completed and then before images are deleted from the journalIf the transaction succeeds, the before images for the transaction are discarded.Transient Journal activities are automatic

  • Transient Journal

  • RAID ProtectionProvides protection against the disk failureTeradata supports the following disk protection schemes Raid-1Raid-5Raid-1 is disk mirroring technique wherein a mirror copy of each physical disk is maintained. In case of a disk failure, the mirror disk becomes the primary disk for the data and performance is unchangedRaid-5 is parity checking technique . It stores parity information using which the data in the failed disk can be re-constructed.Raid-5 doesnt store redundant data.Teradata recommends RAID 1.

  • Fallback FeatureProvides data protection from AMP failure.Stores copy of each row of the table in a separate Fallback AMP in the same cluster.If an AMP fails, the system accesses the Fallback rows to meet requestsFallback is an optional feature in Teradata which we need to specify during table creation. If specified, it is automatic.Fallback guarantees that the two copies of a row will always be on different AMPs


  • Fallback ClusterA cluster is a group of AMPs that act as a single Fallback unit.Clustering has no effect on primary row distribution of the table, b ut the Fallback row will always go to another AMP in the same clusterCluster size may range from 2 to 16 AMPsThe loss of an AMP in one cluster has no effect upon other clusters. It is possible to lose one AMP in each cluster and still have full access to all Fallback-protected table data.But if two AMPs fail in the same cluster, the data access is lost.When one AMP fails in a cluster, the other AMPs in the cluster should do their own work plus the work of the failed AMP,ie, the workload of the other amps will increase.

  • Fallback Cluster

  • Recovery Journal for Down AMPsAfter the loss of any AMP, a down-AMP recovery journal is started automatically to log any changes to rows which reside on the down AMPAny I/U/D operations to the rows on the down amp are applied to the fallback copy within the cluster.Once the down AMP is active again, the recovery journal is read and the changes are applied to the recovered AMP.The recovery journal is then discarded and the AMP is brought back online again.

  • CliquesA Collection of Teradata nodes which share a common set of disks.

    Provides fault tolerance from Node failures

    In case of a node failure, the vprocs from the failed node can migrate to other available nodes in the clique thereby keeping the system operational

    When the failed node is returned back to operation,the vprocs will be brought back to the actual node

  • Cliques

  • Permanent JournalPermanent Journals are optional, which we can define during table creation.It provides database recovery upto a specified point of time.We can specify to capture before images(for roll back) or after images(for roll forward) or both for all the rows which are getting changed(I/U/D operation).Additionally, the user must specify if single images (default) or dual images (for fault-tolerance) are to be capturedMultiple tables or multiple databases may share a permanent journalIt reduces the need for full table back-ups which is very costly The journal can be periodically dumped to external media.

  • Table definition with Fallback & Journal enabledCREATE TABLE table_name FALLBACK, NO BEFORE JOURNAL AFTER JOURNAL ( field1 INTEGER, field2 INTEGER) PRIMARY INDEX field1;

  • Locking in TeradataLocks are used for concurrency control,ie, Locking prevents multiple users from changing the same data at the same time which can affect the data integrityLocks are automatically acquired during the processing of a request and released at the termination of the request. Users can also specify locks explicitlyThere are 3 levels of locking in teradata,ie, Database level, Table level and Row Level There are 4 types of locks ie, Exclusive Locks, Write Lock, Read lock and Access locksThe type and level of locks are automatically chosen based on the type of SQL command

  • LockingExclusive locks are placed whenever there is any Database or Table level structural changes,ie,DDL changes.This is the most restrictive of all the locks.Write locks enable users to modify data while locking out all other users except readers not concerned about data consistency.Write lock is established when there is an insert,delete or update requestRead locks are used to ensure consistency during read operations. Read locks are established for select requestsSeveral users may hold concurrent read locks on the same dataAccess Locks(stale read locks.) : Users who are not concerned about data consistency can specify access locks . This is placed in response to a user-defined LOCKING FOR ACCESS

  • LockingTeradata locks objects on a first come first serve basis. The first user to request an object is the first to lock the object. Teradata will place other users who are accessing the same object in a locking queue

    Teradata allows a user to move up the line if their lock is compatible with the lock in front of them

  • Compatibility between different Locks

  • Compatibility between different LocksIn the example in the previous slideUSER 1 is first in line and READS the objectUSER 2 must wait on USER 1USER 3 must wait on USER 2USER 4 moves past USER 3, then USER 2, and simultaneously reads the object with USER 1.

    Example 2:

  • Compatibility between different LocksUSER 1 READS the Object immediatelyUSER 2 is compatible and WRITES on the object alsoUSER 3 must wait on both USER 1 and USER 2USER 4 must wait until USER 3 is done. It is not compatible with the EXCL and cant move up.


  • BTEQBTEQ stands for Basic Teradata QueryBatch-mode utility for submitting SQL requests to the Teradata databaseRuns on every supported platformlaptop to mainframeCan be used to export data to a client system from the Teradata databaseReads input data and imports it to the Teradata database as bulk INSERTs, UPDATEs, DELETEs or UpsertsA BTEQ script is a combination of BTEQ commands and SQL commands.Supports Conditional Logic and error handling.

  • FASTLOADFastLoad is a utility that can be used to quickly load large amounts of data to an empty table on TeradataFastLoad uses multiple sessions to load data to the teradata table.One fastload job per target table.Full Restart capability.Error Limits may be setError Tables collect records that fail to load, which can later be used for analysisQuickly loads the data into an empty table in 64K blocks.

  • Restrictions on FastloadTarget table must initially be empty.

    Target tables must NOT have: Secondary Indexes defined Enabled Triggers Referential Integrity constraints

  • MULTILOADMultiLoad is used for loading, updating or deleting data to and from populated or empty tablesSupport for up to five target tables per scriptPerforms block level operations against populated tables and is good for high percentage updates. Data processing is done in 64K blocksUses conditional logic for applying changes.Ability to do INSERTs, UPDATEs, DELETEs and UPSERTs (UPDATE if exists, else INSERT)Supports mainframe and network-attached systemsFull Restart capability using a Logtable.Definable error limitsError capture and reporting via error tables

  • MULTILOADThere are two distinct types of tasks that MultiLoad can perform:IMPORT task : Intermix a number of different SQL/DML statements and apply them to up to five different tablesDELETE task: Execute a single DELETE statement on a single table

  • FASTEXPORTExports large volumes of Data from Teradata to a file

    Can use multiple sessions with Teradata

    It can export data from multiple tables

    Fully automated restart capability

    Data export is done in 64k blocks

  • TPump UtilityAllows near real-time updates from transactional systems into the warehouseAllows constant loading of data into a table.Performs INSERT, UPDATE, DELETE, or a combination, to more than 60 tables at a timeAllows target tables to: Have secondary indexes, referential integrity constraints and enabled triggers. Be populated or empty.Supports automatic restarts.No session limituse as many sessions as necessary