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Attribute Clustering/Zone Maps with Hash partitioning

Tom Kyte - Sun, 2016-10-16 20:26
How do Attribute Clustering/Zone work with hash partitioned tables?
Categories: DBA Blogs

Enterprise manager

Tom Kyte - Sun, 2016-10-16 20:26
Tom, I know I could use </code> http://localhost:5500/em" <code>to get the enterprise manager. But if I have several instances in the same server, it only lets me connect one database this way. How could I connect to every instance using tns-strin...
Categories: DBA Blogs

Oracle Database Cloud (DBaaS) Performance Consistency - Part 5

Randolf Geist - Sun, 2016-10-16 17:17
This is the fifth part of this installment, and before coming to comparisons to other cloud providers, in this part I show the results of the read-only test that I've already described in part three of this series, but repeated at a later point in time. The test setup was identical and can be checked in the mentioned previous part.

The reason for running the test again was the fact that I was informed during the first test run that the zone that my Oracle Cloud domain was assigned to was temporarily overloaded, which I also noticed since I wasn't able to create new services for some time.

Hence I decided to repeat the tests after it was confirmed that the issue got resolved.

So here is a comparison of the second test run results compared to the first test run - the corresponding results for the dedicated physical host can be found in part three.

Overall consistency second run:

Overall consistency first run:

Again the graph is supposed to show how many of the runs deviated how much from the overall median runtime. The second run shows a much improved overall consistency much closer to that of the dedicated physical host, although a few outliers are more extreme than in the first run,

The same data on per day basis, second run:

First run:

Except for the first two days the second run shows a pretty consistent behaviour per day, and it becomes obvious that it's the second day of the second run that is responsible for the extreme outliers and also the significant inconsistency in the area between 8 and 12 percent deviation.

Finally the individual thread performance, second run:

First run:

The individual thread performance graph confirms the much improved consistency compared to the first run.

Why I Moved from CompleteITProfessional to DatabaseStar

Complete IT Professional - Sun, 2016-10-16 13:26
Complete IT Professional has been renamed and rebranded to Database Star. I’ll explain what that means and why I made this change in this article. What Was The Change? You’re probably reading this on the new DatabaseStar.com website, wondering why you’re here instead of on CompleteITProfessional.com. Well, the reason is that I have decided to […]
Categories: Development

Oracle Data Integrator 12c: Getting Started - Components and Architecture

Rittman Mead Consulting - Sat, 2016-10-15 12:19

I’ve decided that it’s time for a refresher on Oracle Data Integrator 12c. I’m writing a Getting Started series to help folks get interested in the product and maybe even teach a few old dogs (including myself) some new tricks. In my last post, I shared the history of ODI and a bit about what sets it apart from other ETL tools on the market. In this article, I’ll walk through different components of Oracle Data Integrator and some of the architecture choices you’ll need to make in order to get started with ODI 12c.


Before diving into the architecture, we need to understand the different components that are part of the Oracle Data Integrator installation.


ODI is driven by metadata. This metadata is stored away in two different repositories: the Master repository and the Work repository. The Master repository contains information about security (users, profiles, etc), topology (data connections, contexts, physical/logical schemas), and ODI versioning. Each Master repository can be linked to one or more Work repositories. Work repositories can be of 2 different types: development or execution. In a Development Work repository you’ll find all of the design objects (mappings, packages, procedures, etc) and datastore metadata. The Execution Work repository only stores the execution objects, Scenarios and Load Plans, and there is no development capability. More on all of these objects in a later post.

ODI Repositories

The Master and Work repositories can reside in the same database schema or as their own schemas in the same database instance. The latter practice was more common in the past, before the Repository Creation Utility (RCU) was really the main mechanism for creating the repositories. The RCU doesn’t provide an option for separating the repositories into two different schemas, therefore the standard is to use one single schema. But that’s not the only reason, it also stems from the best practice of separating your environments in entirety; development, test, production, so each can be maintained, upgraded, and patch separately. We’ll jump into the environment setup further down.


The Oracle Data Integrator Agent is what orchestrates the execution of processes created in ODI. At runtime, agents will be used to run Load Plans and Scenarios via an ODI schedule, command line call, web service call, or a third-party scheduler. Agents are accessed via http/https requests, regardless of how they are called into action.

There are 3 types ODI 12c of agents:

  • JEE Agent
    Implemented as a deployment in Weblogic Server 12c, the JEE Agent allows you to use the features of WLS, such as clustering for high availability and JDBC connection pooling.
  • Standalone Agent
    The Standalone Agent is a lightweight Java application that is typically installed to run closest to where most of the transformations will occur. In most data warehouse setups, this is on the data warehouse server.
  • Colocated Agent
    This type of agent is essentially a Standalone Agent that is managed via Weblogic Server. If you want to manage all of your agents via WLS, this is the way to go.

A great article from the ODI A-Team, ODI Agents: Standalone, JEE and Colocated, describes the agent types in further detail, including the comparison of agent features chart, found below.

ODI 12c Agent Comparison


ODI Studio is a Java based development environment based on the JDeveloper framework. Studio is installed on client machines and used to connect to the master and work repositories to access the ODI metadata and perform object development. Essentially, this is where the magic happens!

Architecture - It Depends.

With any good question comes the answer, “it depends”. Before we can choose an architecture for ODI, the system requirements must be determined, allowing us to work through the “it depends” answer more clearly. Let’s dive right in with some potential requirements that may be necessary for a proper data integration setup.

High Availability

A key decision that drives which components of Oracle Data Integrator will be installed and configured stems from the need for a highly available ETL process. If there is a critical process or reporting that relies on ODI, then HA will be a requirement. Not only that, but you’ll want to look at using something like Oracle RAC for the repository database in order to keep it up and running. Finally, high availability won’t save you from an entire data center going offline, so ensure you have a disaster recovery process in place as well.

Environments Required

How many environments do you need? Let’s start with the minimum, Development, Test/QA, and Production. Ok, well if you’re a small shop you might be able to get away without Test/QA, but not recommended. I would also add a 4th environment, Hotfix, which will store the production development objects, allowing your team to fix a production issue quickly without having to restore code from source control. The purpose of understanding the number of environments upfront is to determine how many application servers and database servers will be required for the entire Oracle Data Integrator setup. There’s yet another great article from the Oracle A-Team that describes the use of the ODI Master Repository across these many environments.

ODI Environments

Lifecycle Management and Deployment Process

As you can see in the environments image above, there are also different arrows showing the deployment process and use of source control. The deployment process is usually the easy part to determine: Migrate ODI execution objects from Dev—>Test—>Prod. But the mechanism for doing so might be a bit different, especially if (or more likely, when) source control is introduced.

Oracle Data Integrator 12c can integrate with Subversion, and soon Git, for full lifecycle management capabilities. ODI also has its own object versioning, but it really is only to be used as a last resort. Often, teams have developed their own process around exporting objects to XML, loading into a source control system, and migrating to the next environment. Whichever process you determine is best for your organization, or if you plan to piggy-back on what’s currently in play for developers at your company, you’ll want to ensure the correct components are introduced into the architecture.

Sources and Targets

This is about the types and location of the data sources that ODI will need to connect to. If you have a set of flat files on a server that is unreachable from the machine where the ODI agent is installed, you’ll need a new Standalone agent placed somewhere that can pull from the file server. Drawing up the entire “planned” data flow will help to sort out these decisions early on, especially if you introduce big data into the mix.


Finally, everyone’s favorite topic: security. There are many aspects to security within ODI, including how developers access ODI Studio and how to secure your ETL processes and the application itself. As mentioned earlier, the ODI Agents are called via a web request. The addition of SSL can further secure transmission of these requests, but may also introduce additional setup. If you have a large team of ETL developers, or maybe just a company policy on how applications are to be accessed, ODI can be integrated with your organization’s LDAP via the external authentication setup. With these and other considerations for ODI security, be sure to sort this out during the requirements and architecture phase.

There are many other questions that will need to be answered in order to properly choose your architecture, but hopefully this will get you started. As always, you can join one of the Rittman Mead ODI bootcamps to learn more from one of our experts on the product. Up next in the Getting Started series, we’ll look at Oracle Data Integrator installation and configuration.

Categories: BI & Warehousing

JDeveloper Bug and Workaround - Wrong Instance Name for Method Action Binding

Andrejus Baranovski - Sat, 2016-10-15 10:34
After upgrade to JDeveloper I have noticed issue related to Method Action binding instance name. This is not ADF bug, but JDeveloper bug. JDeveloper sets incorrect name for Method Action binding instance name.

If you are going to create custom method in VO/AM and expose it through interface to be called in bindings layer - there will be similar error as below on runtime:

Source of this error is in the method binding definition:

Go to page definition source view and you will find instance name highlighted with warning. JDeveloper is able to recognize invalid expression, but still it generates it. ADF runtime quality is improved, but can't say the same about JDeveloper IDE. Oracle focus is on Cloud, but still there is a lot to do to improve development tools quality:

Expression must be replaced manually to correct one (the one previous JDeveloper version used to generate) - data.DataControlName.VOInstanceName:

With correct expression for instance name, custom method is invoked correctly without error:

Download sample application - ADFOperationBindingApp.zip.

Audit execution of package body related to TABLE

Tom Kyte - Sat, 2016-10-15 07:46
HI TOM, question about auditing We turned on DML commands for table X1. How we check if package_body X1_PKGB (contains views, triggers, packages, synonyms) related to table is executed? I am in interested in details - table(X1), package body, ...
Categories: DBA Blogs

does DBMS_REFRESH.REFRESH a atomic refresh of mviews?

Tom Kyte - Sat, 2016-10-15 07:46
Hello Tom, we have a materialized view, created with <code>... CREATE MATERIALIZED VIEW "mySchema"."myMView" ("Col1", "Col2", "Col3") ... REFRESH COMPLETE ON DEMAND START WITH sysdate+0 NEXT (sysdate +10/1440) ... </code> which automatica...
Categories: DBA Blogs

Single Tablespace with multiple datafiles or Multiple Tablespaces with Multiple datafiles for 80 TB/ 12c Data Warehouse Database

Tom Kyte - Sat, 2016-10-15 07:46
Dear Tom, Looking at today's machine's POWER, it looks useless to spend time on Tablespace planning. Just look at Oracle Apps OATM, single tablespace and everything is dumped into it. Saying that, My question is 1. We are on <b>ASM, 12c Datab...
Categories: DBA Blogs

tool for db monitoring

Tom Kyte - Sat, 2016-10-15 07:46
Hi Team I would like to what are your review comments about the tool "ebd360" https://carlos-sierra.net/2014/02/19/meet-edb360-a-free-tool-that-provides-a-360-degree-view-of-an-oracle-database/ personally i am not inclined to use this. ...
Categories: DBA Blogs

Migrating from MS SQL to Oracle

Tom Kyte - Sat, 2016-10-15 07:46
Hi, I'm currently working as a .Net developer using MS SQL as back end. I'm interested to learn Oracle, for which which book should i prefer? I need to learn Oracle from its base.. Please suggest how to start?
Categories: DBA Blogs

RMAN BASIC compress Algorithm with and Standard Edition.

Tom Kyte - Sat, 2016-10-15 07:46
Hello, I want to know if BASIC compress Algorithm can be used in RMAN backup with and Standard Edition. Now I'm using 11g but soon I will upgrade to 12c so I need to kown to both version. I've checked the documentation and is...
Categories: DBA Blogs

Documentum story – Monitoring of WebLogic Servers

Yann Neuhaus - Sat, 2016-10-15 02:00

As you already know if you are following our Documentum Story, we are building, working and managing, for some time now, a huge Documentum Platform with more than 115 servers so far (still growing). To be able to manage properly this platform, we need an efficient monitoring tool. In this blog, I will not talk about Documentum but rather I will talk a little bit about the monitoring solution we integrated with Nagios to be able to support all of our WebLogic Servers. For those of you who don’t know, Nagios is a very popular Open Source monitoring tool launched in 1999. By default Nagios doesn’t provide any interface to monitor WebLogic or Documentum and therefore we choose to build our own script package to be able to properly monitor our Platform.


At the beginning of the project when we were installing the first WebLogic Servers, we used the monitoring scripts coming from the old Platform (a Documentum 6.7 Platform not managed by us). The idea behind these monitoring scripts was the following one:

  • The Nagios Server needs to perform a check of a service
  • The Nagios Server contacts the Nagios Agent which executes the check
  • The Check is starting its own WLST script to retrieve only the value needed for this check (each check calls a different WLST script)
  • The Nagios Agent returns the value to the Nagios Server which is then happy with it


This pretty simple approach was working fine at the beginning when we only had a few WebLogic Servers with not so much to monitor on them… The problem is that the Platform was growing very fast and we quickly started to see a few timeouts on the different checks because Nagios was trying to execute a lot of check at the same time on the same host. For example on a specific environment, we had two WebLogic Domains running with 4 or 5 Managed Servers for each domain that were hosting a Documentum Application (DA, D2, D2-Config, …). We were monitoring the heapSize, the number of threads, the server state, the number of sessions, the different URLs with and without Load Balancer, aso… for each Managed Server and for the AdminServers too. Therefore we quickly reached a point where 5 or 10 WLST scripts were running at the same time for the monitoring and only the monitoring.


The problem with the WLST script is that it takes a lot of time to initialize itself and start (several seconds) and during that time, 1 or 2 CPUs are fully used only for that. Now correlate this figure with the fact that there are dozens of checks running every 5 minutes for each domain and that are all starting their own WLST script. In the end, you will get a WebLogic Server highly used with a huge CPU consumption only for the monitoring… So that might be sufficient for a small installation but that’s definitively not the right thing to do for a huge Platform.


Therefore we needed to do something else. To solve this particular problem, I developed a new set to scripts that I integrated with Nagios to replace the old ones. The idea behind these new scripts was that it should be able to provide us at least the same thing as the old ones but without starting so much WLST scripts and it should be easily extensible. I worked on this small development and this is what I came with:

  • The Nagios Server needs to perform a check of a service
  • The Nagios Server contacts the Nagios Agent which executes the check
  • The Check is reading a log file to find the value needed for this check
  • The Nagios Agent returns the value to the Nagios Server which is then happy with it


Pretty similar isn’t it? Indeed… And yet so different! The main idea behind this new version is that instead of starting a WLST script for each check which will fully use 1 or 2 CPUs and last for 2 to 10 seconds (depending on the type of check and on the load), this new version will only read a very short log file (1 log file per check) that contains one line: the result of the check. Reading a log file like that takes a few milliseconds and it doesn’t consume 2 CPUs for doing that… Now the remaining question is how can we handle the process that will populate the log files? Because yes checking a log file is fast but how can we ensure that this log file will contain the correct data?


To manage that, this is what I did:

  • Creation of a shell script that will:
    • Be executed by the Nagios Agent for each check
    • Check if the WebLogic Domain is running and exit if not
    • Check if the WLST script is running and start it if not
    • Ensure the log file has been updated in the last 5 minutes (meaning the monitoring is running and the value that will be read is correct)
    • Read the log file
    • Analyze the information coming from the log file and return that to the Nagios Agent
  • Creation of a WLST script that will:
    • Be started once, do its job, sleep for 2 minutes and then do it again
    • Retrieve the monitoring values and store that in log files
    • Store error messages in the log files if there is any issue


It will not describe any longer the shell script because that’s just basic shell commands but I will show you instead an example of a WLST script that can be used to monitor a few things (ThreadPool of all Servers, HeapFree of all Severs, Sessions of all Applications deployed on all Servers):

[nagios@weblogic_server_01 scripts]$ cat DOMAIN_check_weblogic.wls
from java.io import File
from java.io import FileOutputStream

userConfig=directory + '/DOMAIN_configfile.secure'
userKey=directory + '/DOMAIN_keyfile.secure'

connect(userConfigFile=userConfig, userKeyFile=userKey, url='t3s://' + address + ':' + port)

def setOutputToFile(fileName):

def setOutputToNull():

while 1:
  for server in domainRuntimeService.getServerRuntimes():
    setOutputToFile(directory + '/threadpool_' + domainName + '_' + server.getName() + '.out')
    cd('/ServerRuntimes/' + server.getName() + '/ThreadPoolRuntime/ThreadPoolRuntime')
    print 'threadpool_' + domainName + '_' + server.getName() + '_OUT',get('ExecuteThreadTotalCount'),get('HoggingThreadCount'),get('PendingUserRequestCount'),get('CompletedRequestCount'),get('Throughput'),get('HealthState')
    setOutputToFile(directory + '/heapfree_' + domainName + '_' + server.getName() + '.out')
    cd('/ServerRuntimes/' + server.getName() + '/JVMRuntime/' + server.getName())
    print 'heapfree_' + domainName + '_' + server.getName() + '_OUT',get('HeapFreeCurrent'),get('HeapSizeCurrent'),get('HeapFreePercent')

    setOutputToFile(directory + '/sessions_' + domainName + '_console.out')
    print 'sessions_' + domainName + '_console_OUT',get('OpenSessionsCurrentCount'),get('SessionsOpenedTotalCount')
  except WLSTException,e:
    setOutputToFile(directory + '/sessions_' + domainName + '_console.out')
    print 'CRITICAL - The Server AdminServer or the Administrator Console is not started'

  for app in cmo.getAppDeployments():
    cd('/AppDeployments/' + app.getName())
    for appServer in cmo.getTargets():
        setOutputToFile(directory + '/sessions_' + domainName + '_' + app.getName() + '.out')
        cd('/ServerRuntimes/' + appServer.getName() + '/ApplicationRuntimes/' + app.getName() + '/ComponentRuntimes/' + appServer.getName() + '_/' + app.getName())
        print 'sessions_' + domainName + '_' + app.getName() + '_OUT',get('OpenSessionsCurrentCount'),get('SessionsOpenedTotalCount')
      except WLSTException,e:
        setOutputToFile(directory + '/sessions_' + domainName + '_' + app.getName() + '.out')
        print 'CRITICAL - The Managed Server ' + appServer.getName() + ' or the Application ' + app.getName() + ' is not started'


[nagios@weblogic_server_01 scripts]$


A few notes related to the above WLST script:

  • userConfig and userKey are two files created previously in WLST that contain the username/password of the current user (at the time of creation of these files) in an encrypted way. This allows you to login to WLST without having to type your username and password and more importantly, without having to put a clear text password in this file…
  • To ensure the security of this environment we are always using t3s to perform the monitoring checks and this requires you to configure the AdminServer to HTTPS.
  • In the script, I’m using the “setOutputToFile” and “setOutputToNull” functions. The first one is to redirect the output to the file mentioned in parameter while the second one is to remove all output. That’s basically to ensure that the log files generated ONLY contain the needed lines and nothing else.
  • There is an infinite loop (while 1) that executes all checks, create/update all log files and then sleep for 120 000 ms (so that’s 2 minutes) before repeating it.


As said above, this is easily extendable and therefore you can just add a new paragraph with the new values to retrieve. So have fun with that! :)


Comparison between the two methods. I will use below real figures coming from one of our WebLogic Server:

  • Old:
    • 40 monitoring checks running every 5 minutes => 40 WLST scripts started
    • each one for a duration of 6 seconds (average)
    • each one using 200% CPU during that time (2 CPUs)
  • New:
    • Shell script:
      • 40 monitoring checks running every 5 minutes => 40 log files read
      • each one for a duration of 0,1s (average)
      • each one using 100% CPU during that time (1 CPU)
    • WLST script:
      • One loop every 2 minutes (so 2.5 loops in 5 minutes)
      • each one for a duration of 0.5s (average)
      • each one using 100% CPU during that time (1 CPU)


Period CPU Time (Old) CPU Time (New) 5 minutes 40*6*2 <~> 480 s 40*0.1*1 + 2.5*0.5*1 <~> 5.25 s 1 day 480*(1440/5) <~> 138 240 s
<~> 2 304 min
<~> 38.4 h 4.25*(1440/5) <~> 1 512 s
<~> 25.2 min
<~> 0.42 h

Based on these figures, we can see that our new monitoring solution is almost 100 times more efficient than the old one so that’s a success: instead of spending 38.4 hours using the CPU on a 24 hours period (so that’s 1.6 CPU the whole day), we are now using 1 CPU for only 25 minutes! Here I’m just talking about the CPU Time but of course you can do the same thing for the memory, processes, aso…


Note: Starting with WebLogic 12c, Oracle introduced the RESTful services which can now be used to monitor WebLogic too… It has been improved in 12.2 and that can become a pretty good alternative to WLST scripting but for now we are still using this WLST approach with one single execution every 2 minutes and then Nagios reading the log files when needs be.


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Meet Me at Bangalore, India @ SANGAM16 on 11th & 12th Nov (Friday & Saturday)

Online Apps DBA - Sat, 2016-10-15 01:46

If you are in India in November and working on Oracle then this is one of the events you don’t want to miss. Sangam is largest independent Oracle User Group conference event in India organised by AIOUG  on 11th (Friday) & 12th (Saturday) November in Bangalore . I’ll be presenting two papers 1. Oracle E-Business R12.2 […]

The post Meet Me at Bangalore, India @ SANGAM16 on 11th & 12th Nov (Friday & Saturday) appeared first on Oracle Trainings for Apps & Fusion DBA.

Categories: APPS Blogs

Thinking about using Python scripts like SQL scripts

Bobby Durrett's DBA Blog - Fri, 2016-10-14 19:18

I’ve used Python to make graphs of Oracle database performance information. I put the scripts out on GitHub at https://github.com/bobbydurrett/PythonDBAGraphs. As a result I’m keeping my Python skills a little fresher and learning about git for version control and GitHub as a forum for sharing Open Source. Really, these Python scripts were an experiment. I don’t claim that I have done any great programming or that I will.

But, as I review what I have done so far it makes me think about how to change what I am doing so that Python would be more usable to me. I mainly use SQL scripts for Oracle database tuning. I run them through sqlplus on my laptop. I think I would like to make the way I’m using Python more like the way I use SQL scripts. My idea is that all the pieces would be in place so that I could write a new Python script as easily and quickly as I would a SQL script.

I started out with my PythonDBAGraphs project with a main script called dbgraphs.py that gives you several graphs to choose from. I also have a script called perfq.py that includes the code to build a select statement. To add a new graph I have added entries to both of these files. They are getting kind of long and unwieldy. I’m thinking of breaking up these to scripts into a separate script for each graph like ashcpu.py, onewait.py, etc.

You may wonder why I am talking about changes I might make to this simple set of scripts. I am thinking that my new approach is more in line with how businesses think about using Python. I have heard people say that business users could use Python and the same graphing library that I am using to build reports without having a developer work with them. Of course, people think the same about SQL and it is not always true. But, I think that my first approach to these Python scripts was to build it like a large standalone program. It is like I am building an app to sell or to publish like a compiler or new database system. But, instead I think it makes sense to build an environment where I can quickly write custom standalone scripts, just as I can quickly put together custom SQL scripts.

Anyway, this is my end of the week, end of the work day blogging thoughts. I’m thinking of changing my Python scripts from one big program to an environment that I can use to quickly build new smaller scripts.


Categories: DBA Blogs

Dallas Oracle User Group Performance & 12.2 New Features Technical Day

Tanel Poder - Fri, 2016-10-14 13:29

Just letting people in DFW area know that I’m speaking at the DOUG Performance & Tuning and 12.2 New Features Technical Day!


  • Thursday 20 October 2016 9:30am-5:30pm


  • Courtyard & TownePlace Suites DFW Airport North/Grapevine, TX
    2200 Bass Pro Court|Grapevine, TX 76051 [map]

Speakers (Seven Oracle ACE Directors!):

  • Jim Czuprynski

  • Charles Kim

  • Cary Millsap

  • Dan Morgan

  • Kerry Osborne

  • Tanel Poder

  • Nitin Vengurlekar


  • I’ll speak about In-Memory Processing for Databases where I plan to go pretty deep into fundamentals of columnar data structures, CPU & cache-efficient execution and how Oracle’s In-Memory column store does this.
  • There will be plenty of Oracle performance talks and also Oracle Database 12.2 topics.

Sign up & more details:

There will also be free beer in the end! ;-)


NB! If you want to move to the "New World" - offload your data and workloads to Hadoop, without having to re-write your existing applications - check out Gluent. We are making history! ;-)

Performance of oracle hierarchical “connect by prior” or recursive CTE query

Tom Kyte - Fri, 2016-10-14 13:26
I need to track the path of documents that get rolled into each other. To do this, I built a hierarchy tree using a connect by prior query. I also rewrote the query as recursive CTE trying to see if I could get better performance. My table has ab...
Categories: DBA Blogs

Add Foreign key based on a value in a column

Tom Kyte - Fri, 2016-10-14 13:26
Hi Tom I have a table with 2 columns. If the value in column1 ='A', the value in column2 must refer the Table 1: due1 due2 1 saw 2 mil Table 2: at1 at2 35 element 45 method Table 3: atdue1 atdue2 S 2 P 35...
Categories: DBA Blogs

Temporary Tablespace Re-use of previously used blocks

Tom Kyte - Fri, 2016-10-14 13:26
Good Evening, I have a few questions regarding temporary tablespace's efficiency with re-using previously used blocks in the temporary tablespaces. First, can Oracle 11g+ re-use previously used blocks? In other words, if a session needs 900MB of...
Categories: DBA Blogs

Need stored procedure to export query result to a html table/file and send it as an email attachment.

Tom Kyte - Fri, 2016-10-14 13:26
Need stored procedure to export query result to a html table/file and send it as an email attachment.
Categories: DBA Blogs


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