1. Fonctionnalités majeures IDS 11.10 & 11.50
Laurent Valenza
laurent.valenza@fr.ibm.com
Mardi 30 novembre 2010
User Group Informix France

2. Create Index Automatically Creates Enhan
Glo ced
bal Distributions & Statistics dbin
non f o()
-log configu Multiple Trigger per
ging ratio sysdbopen &
Private tem n of table
Cache Memory p tab Automatic Checkpoints sysdbclose
Process for Virtual les
s or s Auto AIO VP Tuning s
im e statistic
OnBar W hole System Parallel Restore atic real-temp tables
Autom d f or t
Auto LRU Tuning Databas create
e Restar Enhanced Explain
t Policy
Non-Block Checkpoints
raci ng Database Scheduler
SQL Admin API SQL Hi s tory T
ontape Directory Backup
Online Reconfiguration Last Committed Isolation
of the Physical log Dynamically Rename rypted on
Enha
ANSI Join Directives nced Objects in ER Enc nicati
sysm mu DR
ast er Com or H
Detailed Thread Wait Information User Group Informix FranceF

3. Cheetah
Disponibilité RESILIENCE
Performance OLTP DATA SERVER
Scalabilité CAPACITE DE TRAITEMENT HAUTEMENT SCALABLE
Sécurité SECURITE DES DONNEES ET DES ACCES A LA BASE
Administration FAIBLE ADMINISTRATION
Développement GESTION DES RESSOURCES DE LA BASE DE DONNEES
User Group Informix France

4. Remote Standalone Secondary Server
Mise en place de la fonctionnalité HDR facilitée, uniquement en cas de besoin
k
Serveur totalement r
indépendant o
OLTP
Mise en place de la HDR
w
facilitée N t
e
Copie des bases sur les N
System B
deux systèmes System A
k
Aucun impact sur la r
production N HDR
o
w
Synchronisation
t
asynchrone des log buffers
w
e
o
e
k
r
t
Chiffrement des données N
N
entre les noeuds HDR
ER : Amélioration du
parallèlisme
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5. Remote Standalone Secondary
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6. Shared Disk Secondary
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7. Shared Disk Secondary
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8. Sauvegarde et Restauration
Sauvegarde et restauration sur des partitions du système, répertoires
– Modification des paramètres TAPEDEV, LTAPEDEV
– Ontape & Onbar
Continuous Logical Restore (utile pour la création d’un système de backup)
– Alternative à la fonctionnalité HDR
Amélioration des sauvegardes et restaurations parallèles (valable aussi aujourd’hui
pour les “whole backup”)
RTO_SERVER_RESTART, action sur le temps de redémarrage du moteur en cas de
crash
User Group Informix France

9. Cheetah
Disponibilité RESILIENCE
Performance OLTP DATA SERVER
Scalabilité CAPACITE DE TRAITEMENT HAUTEMENT SCALABLE
Sécurité SECURITE DES DONNEES ET DES ACCES A LA BASE
Administration FAIBLE ADMINISTRATION
Développement
GESTION DES RESSOURCES DE LA BASE DE DONNEES
User Group Informix France

10. OLTP Data Server
AMELIORATION DE LA REPLICATION D’ENTREPRISE
– Exécution Parallélisé de l’application des modifications sur les
enregistrements
– Amélioration remarquable des performances globales
IMPROVED STATISTICS MAINTENANCE
– Mise à jour automatique des statistiques lors de créations d’index
NON BLOCKING CHECKPOINT
– Nouvel algorithme de synchronisation, suppression du mécanisme de
fuzzy-checkpoint
User Group Informix France

11. Build for Speed – less hardware required
• Tremendous performance on low cost hardware
• Customers scale for high volume throughput
• Financial services: 100,000 messages/sec on 4-CPU Linux system
• Pharmacy system: 1B transactions per day on a 8-CPU machine
• Large retailer: Over 225 transactions/sec on a 32-CPU system
with space for growth
• IDS 11.5: Up to 50% faster than previous versions
“In our benchmarking process, Informix came out above all other
leading solutions for its performance, scalability and reliability.”
- Jon Tasker - Project Manager, Trafficmaster, UK
User Group Informix France

12. Cheetah
Disponibilité RESILIENCE
Performance OLTP DATA SERVER
Scalabilité CAPACITE DE TRAITEMENT HAUTEMENT SCALABLE
Sécurité SECURITE DES DONNEES ET DES ACCES A LA BASE
Administration FAIBLE ADMINISTRATION
Développement GESTION DES RESSOURCES DE LA BASE DE DONNEES
User Group Informix France

13. Scalabilité
Architecture multithread
– Faible consommation de ressources
– Architecture 32 & 64 Bits
– Thread Migration pour le load balancing
– Ajout “on the fly” de processeur virtuel
Gestion des utilisateurs
– Allocation dynamique des ressources en fonction de la charge
Ressources physiques
– Gestion des I/O
– Parallélisme
– Ajout automatique d’espace disque
User Group Informix France

14. Cheetah
Disponibilité RESILIENCE
Performance OLTP DATA SERVER
Scalabilité CAPACITE DE TRAITEMENT HAUTEMENT SCALABLE
Sécurité SECURITE DES DONNEES ET DES ACCES A LA BASE
Administration FAIBLE ADMINISTRATION
Développement
GESTION DES RESSOURCES DE LA BASE DE DONNEES
User Group Informix France

15. Sécurité
Encryption Expert
Label Based Common Criteria
Access Control Certification
Chiffrement au niveau réseau
User Group Informix France

16. Sécurité
Chiffrement :
– Communication entre le client et le serveur, end to end
– Requêtes distribuées
– Enterprise Replication, sélection des serveurs à chiffrer, communication totalement
sécurisée
– HDR, chiffrement totale ou partielle des journaux, chiffrement entre le primaire et le
secondaire
Contrôle :
– Chargement des datablades
– Création des bases de données et autres…
– Séparation des rôles
> DBSA : Database system Administrator
> DBSSO : Database system security officer
> AAO : Audit Analysis Officer
> BAR : Backup and Restore Group
Audit :
– On-Audit, ShowAudit géré par AAO et DBSSO
User Group Informix France

17. Sécurité
Label Access Control (LBAC):
– Permet de définir qui peut accéder aux données mais
aussi aux colonnes
– Gestion très précise des données
– Système flexible dans l’utilisation mais aussi grâce à la
richesse de ses options
– Puissant et robuste dans l’application des règles de
sécurité
User Group Informix France

18. Sécurité
Common Criteria Certification
– Certification gouvernementale rigide :
• Identification, Authentification, Controle d’accès, Audit,
Communications et la protection des données
• EAL 4 - Niveau maximum qu’un logiciel peut obtenir pour
être utilisé dans les pays signataires en terme de sécurité
– Bénéfices :
• Niveau de sécurité du produit
• Compatibilité avec : SOX, HIPAA, Gramm-Leach-Bliley
User Group Informix France

19. Cheetah
Disponibilité RESILIENCE
Performance OLTP DATA SERVER
Scalabilité CAPACITE DE TRAITEMENT HAUTEMENT SCALABLE
Sécurité SECURITE DES DONNEES ET DES ACCES A LA BASE
Administration FAIBLE ADMINISTRATION
Développement
GESTION DES RESSOURCES DE LA BASE DE DONNEES
User Group Informix France

20. IDS Survey results : Average DBA Days/Year
25% report no DBA time at all
An Average of 7 minutes per user week
14%
8% Les s than 1 Day
1 to 2 Days
2 to 3 Days
11%
3 Days or More
67%
User Group Informix France

21. Administration
Nouvelle Database (sysadmin) :
–Fonction d’administration
–Gestion des alertes
–Collecte de données
Améloriation de sysmaster et onstat :
–Checkpoint
–Environnement User/Server
–Online & onbar log files
–Information Réseau (IO counts and times)
–SQL Statement Historique
Scheduler interne
–Execution de SQL
–Procédure stockée
–UDR
User Group Informix France

22. Fonction SQL Administration
Nouvelles UDRs pour l’administration du serveur
Informix
Thématique d’administration :
– Gestion de l’espace
– Gestion de la configuration
– Maintenance des routines
– Oncheck
Avantages :
– Administration SQL
– Remote Administration
– Suivi de l’exécution des commandes dans des
tables Informix
– Reporting personalisable
– Integration dans le système d’audit de l’entreprise
User Group Informix France

23. Fonction SQL Administration
L’API SQL Admin stocke Column Type Description
les informations dans cmd_number serial
une table de la base
sysadmin cmd_exec_time datetime Time the command
year to was started
second
cmd_user varchar User executing the
command
cmd_hostname varchar Host the command
was executed from
cmd_executed varchar The command
executed
cmd_ret_status Integer Return code
cmd_ret_msg lvarchar Return message
User Group Informix France

24. Sysmaster : Nouvelles tables
TABLE NAME DESCRIPTION
syscheckpoint The information about the checkpoint and associated statistics
systcblst Modified the existing table to add wait stats.
sysenvses View Informix’s session environment variables
sysenv View the servers environment variables
sysonlinelog View the online.log for the server
sysscblst Improvement to view the memory used by session
sysnetworkio View the network I/O generated by database session
sysdual Oracle compatibility feature
syssqlcacheprof Displays the profile information about each SQL cache
syssqltrace The sql statements which have been recently executed on the system
syssqltrace_itr The list of iterators for the SQL statement.
syssqltrace_info General information about the SQL tracing
sysnetglobal Global Network Information
sysnetclienttype Network information based on client type
sysbaract_log The OnBar Activity Log file
sysrstcb Improvement to view I/O and lock wait information
User Group Informix France

25. SQL Drill Down
Name Description
Information de détail sur User ID User id
les requêtes SQL Session ID Database Session ID
Database Name Current Database Name
Visualisation de toutes les Statement Type Type of SQL statement being executed
couches Statement Execution Duration of the SQL statement
time
Lecture simple, claire du Time of Execution Date & Time this statement completed
Statement Text SQL statement text or the procedure
contenu de sysmaster et stack trace with statement type
onstat RSAM statistics •Buffer Reads & Writes
•Page reads & Writes
•Memory Sorts, disk Sorts,
•Lock requests, waits
Configuration dynamique •Logical Log Records
•Index buffer reads
Granularité au niveau
SQL statistics •Estimated # of rows
utilisateur •Estimated Cost
•# of rows returned
•Statement Type
•Database Isolation Level
User Group Informix France

26. SQL Drill Down – vue onstat
Database: sysadmin
Statement text:
SELECT MAX(run_task_seq) FROM ph_run A, ph_task B WHERE A.run_task_id
= ?
AND A.run_task_id = B.tk_id AND A.run_time + B.tk_delete < CURRENT
Iterator/Explain
================
ID Left Right Est Cost Est Rows Num Rows Type
3 0 0 1 1 1 Index Scan
4 0 0 19 545 1 Index Scan
2 3 4 20 5 1 Nested Join
1 2 0 1 1 1 Group
Statement information:
Sess_id User_id Stmt Type Finish Time Run Time
21 0 SELECT 10:51:11 0.0023
Statement Statistics:
Page Buffer Read Buffer Page Buffer Write
Read Read % Cache IDX Read Write Write % Cache
0 77 100.00 0 0 0 0.00
Lock Lock LK Wait Log Num Disk Memory
Requests Waits Time (S) Space Sorts Sorts Sorts
0 0 0.0000 0.000 B 0 0 0
Total Total Avg Max Avg I/O Wait Avg Rows
Executions Time (S) Time (S) Time (S) IO Wait Time (S) Per Sec
220 78.8463 0.3584 1.9557 0.000000 0.000000 439.9908
Estimated Estimated Actual SQL ISAM Isolation SQL
Cost Rows Rows Error Error Level Memory
20 1 1 0 0 DR 41552
User Group Informix France

27. Open Admin Tool
Outil Web d’administration
Un seul outil pour superviser
plusieurs instances déportées
Information géographiques sur la
localisation des serveurs
Surveillance pointue des
instances
Lecture claire des erreurs
Vision centralisée des serveurs
Géo-Visualisation des serveurs
User Group Informix France

28. Cheetah
Disponibilité RESILIENCE
Performance OLTP DATA SERVER
Scalabilité CAPACITE DE TRAITEMENT HAUTEMENT SCALABLE
Sécurité SECURITE DES DONNEES ET DES ACCES A LA BASE
Administration FAIBLE ADMINISTRATION
Développement
GESTION DES RESSOURCES DE LA BASE DE DONNEES
User Group Informix France

29. Développement
Trigger :
– Multiple INSERT, UPDATE, DELETE,SELECT dans une table avec aussi support du INSTEAD OF
– Support des triggers sur les vues
XML publishing :
– SQL sur XML stockée en base
– XPATH
– Génerer du XML
– Manipuler du XML
Index Hierarchic :
– Support des données hiérarchiques
– Monde MVS, MainFrame
Basic Text Datablade :
– Recherche de mots, phrases
– Documents non structurés
– Colonne : CHAR, VARCHAR, LVARCHAR, TEXT, CLOB
– Operations boolean type OR, AND et NOT
User Group Informix France

30. Nouvelles fonctionnalités
de « Cheetah » IDS 11.50
User Group Informix France

31. Connection Manager
IDS 11.5 introduces the Online
Connection Manager and
Server Monitor (oncmsm):
• a daemon program which
accepts a client connection Austin
as
eg
request and then re-routes OLFrisco
sV
TP
La
e?
that connection to one of the
nc
best fit nodes in the IDS
ta
ins
cluster.
g
lo
ta
• Monitors instance activity ca
h Dallas
levels.
hic
W
CA
TA
M ART
LLas Vegas
O
G
Paris Tokyo
Sao Paulo
User Group Informix France

32. SLA
SLA = Service Level Agreement
• A “contract” between client applications and IDS instances.
• Can be based on probability of performance and data “currency”:
• If user requires the most current data as opposed to slight lag
time while replication occurs, user must connect to primary or
HDR secondary instance.
• If user can tolerate some degree of latency, then user should be
connected to another secondary instance based on “currency”
requirement (SDS vs HDR secondary vs RSS).
• Can also be based on geographic or functional requirements:
• Connect to instances within X miles/km.
or
• Connect to instances designated to support specific types of
application workloads.
but you must define this by “known” instance names.
User Group Informix France

33. SLA
For example:
SLA oltp=primary
SLA report=rss_1+rss_2+rss_3
SLA accounting=SDS+HDR
SLA catalog=rss_4+rss_5+rss_6
SLA test=RSS
The following are “reserved words” for SLA definitions:
primary – the cluster primary.
SDS – any SDS instance.
HDR – the HDR secondary.
RSS – any RSS instance.
An SLA definition can include “reserved words” as well as specific
instance names.
NOTE: each SLA has a separate SQLHOSTS entry on CM
server.
User Group Informix France

34. SLA
Connection attempts using SLAs:
SLA oltp=primary
SLA payroll=HDR+primary
SLA report=SDS+HDR
User Group Informix France

35. Failover Arbitrator
The Failover Arbitrator provides automatic failover logic for high-
availability clusters.
Monitors all nodes checking for the primary
failover.
Is Primary
Primary Really Down?
Down?
Performs failover (i.e. promote secondary to
primary) when it is confirmed that the primary HDR
is down. Traffic
Primary HDR secondary
RSS
Released as part of the Connection Traffic
Manager.
W ill support failover to an RSS node. RSS
User Group Informix France

36. Failover Arbitrator
Example:
FOC serv1+(serv2+SDS)+HDR+RSS,10
Failover order if primary doesn’t come “back” after 10 seconds, for
example network connectivity hiccup:
• serv1 instance.
• best choice of serv2 or one of the (surviving?) SDS instances.
• HDR secondary.
• Any RSS node.
The FOC can be passed to the connection manager (oncmsm) on the
command line as “-f serv1+(serv2+SDS)+HDR+RSS,10”.
User Group Informix France

37. Updatable Secondaries
Client applications can update data on secondary servers!
Updatable secondaries give the appearance that
updates are occurring directly on the secondary
server when in fact the transaction is transferred to
the primary server and then the change is replicated
to the secondary server.
User Group Informix France

38. Updatable Secondaries
Attempted writes (insert, update, and delete) are redirected
from the secondary to the primary instance.
Only supports DML statements, can not create tables,
indexes etc.
Uses optimistic concurrency to avoid updating a stale copy
of the row.
Works on all MACH-11 secondary instances.
User Group Informix France

39. Nouvelles fonctionnalités
de « Cheetah » IDS 11.50xC4
User Group Informix France

40. Compression
Ability to store data rows in compressed format on disk
Saves up to 90% of row storage space
Space returned can then be used by any table in the dbspace
Ability to estimate possible compression ratio
Fits more data onto a page
Fits more data into buffer pool
Reduces logical log usage
User Group Informix France

41. Compression
Performance Impact
IO-bound workloads
– Compression may improve performance by reducing IOs
(both data page and logical log)
– More data fits on a page, so more in buffer pool
– Log records are smaller, so less logging
For CPU-bound workloads
– Additional CPU used to compress and expand rows
– Should not be a large impact
User Group Informix France

42. Compression
All are supported on compressed tables
HDR
– Tables will be compressed on secondary iff they are
compressed on primary
ER
– Compression status of tables is independent between
source and target, specified by user
User Group Informix France

43. Compression
Things That Cannot Be Compressed
Out-of-row data (e.g. blobs)
Indexes
Catalog tables
Temp tables
Partition tables
Dictionary tables
Tables in the following databases:
sysuser,sysmaster,sysutils,syscdr,syscdcv1
User Group Informix France

44. Compression
Individual fragments for table big2
Free Pages
Used Pages
Estimate of used after compression
User Group Informix France

45. Informix Warehouse
Run your BI/Analytics on Informix
• Informix customers want
•Leverage functionality from
the same characteristics for XPS:
their core BI/Analytics as
they have in IDS •External tables
Business •Lite scans
Intelligence
and •Hybrid fragmentation
Analytics •They want warehousing
tools integrated with IDS •Administer with OAT
•Integration with other DW/BI
products:
•Many customers already •Cognos 8
use IDS for their BI/Analytics
•SQL Warehouse
•Informix Warehouse for
IDS
User Group Informix France

46. Merci
Laurent Valenza
laurent.valenza@fr.ibm.com
Mardi 30 novembre 2010
User Group Informix France