Why dba needed in dwh projects

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This presentation helps in finding out the areas in Oracle Datawarehouse projects where a DBA can provide his/her services.

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  • A DBA is required in handling the above mentioned aspects of DWH projects.
  • Worked Example : A customer wishes to build a Data Warehouse to support their customer information system. The database consists of about 10 core tables that comprise about 60 Gigabytes of data. They are going to perform a great deal of table scan activities as they mine the data for purchasing trends. They know the data is coming from a number of legacy systems and anticipate many problems consolidating the data. They anticipate regularly sweeping or scrubbing entire tables and creating updated copies. For this reason they know the processing requirements are going to be extremely high and for this reason have ordered a 20 CPU Sparc Server 2000E. They have configured 2 Gigabytes of memory into the system and now they need estimates as to the size of the I/O subsystem. They have requested that the database is fully mirrored in case of media failure. Assessment of Database Size and Volume based Estimate (base data+indexes+temp) * Factor for Admin. ( 60 + 15 + 30 ) * 1.7 = 179 Giga Bytes The factors are arbitrary and are based upon experience they can be altered when applicable. The disks available are 4 Gig Volumes so the number of disks prior to mirroring will be 179 / 4 = 45 Disk Drives Assessment of Disk Drives from CPU performance #CPUS * Disks/CPU estimate 20 * 8 = 160 Disk Drives In this case the number of disk drives to keep the CPUs busy exceeds the storage requirement. Using a volume based estimate could mean that there could be an I/O bottle neck on the database. Mirroring the database would double the number of disk drives to 90. Mirroring will also assist query processing as reads can be satisfied by multiple spindles. However the scale up is not perfect so we can assume an I/O scale up of about 50%. This means that the effective number of drives using a volume based estimate would approach about ( 1.5 * 45 ) 68 drives again well short of the 160 drives calculated to keep the CPUs busy. At this point these estimates need to be communicated to the project team and cost benefit assessment needs to be made. To get all CPUs busy will require doubling the number of disk drives. An assessment needs to be made to see if budget limitations allow the project buy almost twice the number of disks. At this point it usually becomes a judgment issue and compromises are required. Other factors that should be considered when making this estimate. Is the number of CPUs going to increase in the future Are the CPUs going to upgraded to faster ones in the future What are the chances of the database further increasing after phase one of the project. All these issues encourage early investment in disks however budgets will usually override the technical arguments. It is stated that this process is a very imprecise science and I/O subsystem capacity planning is one of the hardest to get correct. However if the database administrators cannot negotiate enough I/O resources there will be I/O bottlenecks later. If obtaining hardware resources are not an issue 160 Disks should be obtained as part of creating a balanced system.
  • Links… https://www.indiana.edu/~dbateam/databases/oracle/dwperf.pdf
  • Why dba needed in dwh projects

    1. 1. WHY DBA IS NEEDED IN ORACLE DWH PROJECTS? By Anurag Vidyarthi (Accenture,Norway)
    2. 2. Main feature of DWH projects <ul><li>Partitioning </li></ul><ul><li>Parallelism </li></ul><ul><li>Compression </li></ul><ul><li>Materialized Views </li></ul><ul><li>Demand for Performance Scalability </li></ul><ul><li>ETL Job Analysis </li></ul><ul><li>Proactive Co-ordination </li></ul><ul><li>Capacity Planning </li></ul>
    3. 3. Partitioning <ul><li>Why a specific table should be partitioned ? </li></ul><ul><li>Which kind of indexes are best on any specific partition table ? </li></ul><ul><li>Actual explain plan is taking advantage of partitioning pruning ? </li></ul><ul><li>Role of partition maintenance operation in ETL? </li></ul>
    4. 4. Parallelism <ul><li>Is system/sesion/Query is utilizing the parallelism for better performance. </li></ul><ul><li>Balancing the utilization of parallel resource. </li></ul><ul><li>Monitoring the parallel resource utilization. </li></ul><ul><li>Enabling/disabling parallelism </li></ul><ul><ul><li>on selected objects for specific purposes. </li></ul></ul><ul><ul><li>In specific sessions. </li></ul></ul>
    5. 5. Compression <ul><li>Which tables are suitable for compressing. </li></ul><ul><li>Compression scope – whole table or selected partition. </li></ul><ul><li>Uncompression for specific purposes. </li></ul><ul><li>Analysing the performance/space because of compression. </li></ul>
    6. 6. Materialized Views(MVs) <ul><li>Analyzing the SQLs and suggest if MV creation can help in better performance. </li></ul><ul><li>Query rewite implementation. </li></ul><ul><li>MVs refresh </li></ul><ul><ul><li>Suitable Methods </li></ul></ul><ul><ul><li>Performance </li></ul></ul><ul><li>Indexing/partitioning of MVs </li></ul>
    7. 7. Demand for Performance scalability <ul><li>Finding which SQLs suddenly behave abnormally and finding Rogue SQLs whose SQL plan changed because of data involved. </li></ul><ul><li>ETL job analysis from database-side. </li></ul><ul><li>Finding Why same ETL Job one day takes 4-5 minutes and another day takes hours: </li></ul><ul><ul><li>Index rebuilding </li></ul></ul><ul><ul><li>Truncate table statement is time consuming. </li></ul></ul><ul><ul><li>MV refreshes are time consuming. </li></ul></ul>
    8. 8. Demand for Performance scalability <ul><li>Execution plans which don't fit with the partitioning strategy can run worse than they did against the unpartitioned table. </li></ul><ul><li>What type of Index should be created to enhance the query performance ? </li></ul><ul><ul><li>Global vs Local </li></ul></ul><ul><ul><li>Bitmap vs B-tree </li></ul></ul><ul><li>Full table might be better for performance in certain cases. </li></ul>
    9. 9. Typical Question : Query is taking time <ul><li>As for reducing the cost, it's a bit difficult to offer advice on every query: </li></ul><ul><ul><li>queries take time, and </li></ul></ul><ul><ul><li>queries which use a lot of data take longer. </li></ul></ul><ul><li>Secret ? The secret of tuning is to understand what is a reasonable amount of time for a given query. Cost is irrelevant if the query runs fast enough. </li></ul>
    10. 10. Miscellaneous DBA Tasks <ul><li>Running AWRADDM and analyzing candidates for improvements like alternate explain-plan. </li></ul><ul><li>Reducing unnessesary IO </li></ul><ul><li>Implementing resource usage for better utilization of resources. </li></ul><ul><li>Finding why Index is not used in any SQL(s). </li></ul><ul><li>Finding suitable columns for indexing. </li></ul><ul><li>RAM monitoring and on-demand stats gathering </li></ul><ul><li>Tracing of erratic session. </li></ul><ul><li>Registering and Handling of Oracle Service requests. </li></ul>
    11. 11. ETL Job Analysis <ul><li>Most ETL tools like powercenter and OWB has repositores stored in Oracle database. </li></ul><ul><li>Easy monitoring of ETL jobs using the repository tables and views. </li></ul><ul><li>Rescheduling of ETL jobs based upon : </li></ul><ul><ul><ul><li>Resource consumption </li></ul></ul></ul><ul><ul><ul><li>Dependency </li></ul></ul></ul>
    12. 12. Pro-active co-ordination <ul><li>Example Business Requirement : </li></ul><ul><li>Business Users want to run critical queries on a large table that involves FTSs.To reduce the query response times parallel query is utilized. Running one of these queries utilizes 75% of all system resources on the machine for a minute.The business requirements determine that over 200 users need to perform this query each once about every 2 minutes. </li></ul><ul><li>Issue : </li></ul><ul><li>This sort of problem probably cannot be solved by any machine. In this example it is possible to see where a well informed set of system designers can ensure they do not commit to deliver a business requirement that is clearly impossible to deliver. </li></ul><ul><li>Possible Solution : </li></ul><ul><li>A proactive DBA may notice that all these queries could be satisfied by a simple summary table. In this case the business requirements could be satisfied with ease. In essence it takes more than just raw machine horsepower to solve DWH problems and in fact a proactive entrepreneurial approach is what is really required. </li></ul>
    13. 13. Capacity Planning <ul><li>Logical DB access planning ( user,tablespace ) </li></ul><ul><li>Data Modeling for performance </li></ul><ul><ul><li>Star schema </li></ul></ul><ul><li>Resource Requirements and Scaleabilty. </li></ul><ul><li>Data growth prognosis. </li></ul>
    14. 14. Thanks <ul><li>Questions ??? </li></ul>

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