Search Results

Search found 2077 results on 84 pages for 'period'.

Page 10/84 | < Previous Page | 6 7 8 9 10 11 12 13 14 15 16 17  | Next Page >

  • Oracle E-Business Financials Recommended Patch Collections (RPCs) for R12.1.3 Have Been Released for August 2012

    - by Oracle_EBS
    What is a Recommended Patch Collection (RPC)? An RPC is a collection of recommended patches consolidated into a single, downloadable patch, ready to be applied. The RPCs are created with the following goals in mind: Stability: Address issues that occur often and interfere with the normal completion of crucial business processes, such as period close--as observed by Oracle Development and Global Customer Support. Root Cause Fixes: Deliver a root cause fix for data corruption issues that delay period close, normal transaction flow actions, performance, and other issues. Compact: While bundling a large number of important corrections, we have kept the file footprint as small as possible to facilitate uptake and minimize testing. Reliable: Reliable code with multiple customer downloads and comprehensive testing by QA, Support and Proactive Support. RPCs are available for the following products: Cash Management Collections E-Business Tax Financials for India Fixed Assets General Ledger Internet Expenses iReceivables Loans Payables Payments Receivables Subledger Accounting For the latest Financials Recommended Patch Collections (RPCs), please view: EBS: R12.1 Oracle Financials Recommended Patches [Doc ID 954704.1].

    Read the article

  • Enablement 2.0 Get Specialized!

    - by mseika
    Oracle PartnerNetwork Specialized program is releasing new certifications on our latest products, and partners are invited to be the first candidates. A Certification exam goes through a rigorous review process called a beta period. Here are a few advantages of taking a Beta Exam: Certification exams during the beta period count towards your Company Specialization. Most new Certified Specialist Exams have no training requirement. Beta Exams Vouchers are available in limited quantity, so request a voucher today by contacting the Partner Enablement Team and act fast to reserve your test from the list below. For more information click here. 

    Read the article

  • How to compare page views/visitors to site totals in Google Analytics?

    - by frntk
    I want to measure the effects in total traffic (views or visitors) of a single URL across a time frame. For example, let's say I published a blog post on July 2012. I want to measure what chunk of the site's total traffic is coming to this particular post on a month-by-month graph from July 2012 to date. Is there a way to do this? Edit: I should clarify that what I'd like to do is to generate a month-to-month graph, similar to the one you can see comparing a metric on a period of time against the previous equivalent period (year vs last year, for example) but comparing a particular URL traffic to the site's total traffic. In other words, I can get to the part where I can see the URL's traffic for the timeframe I selected and it shows how much of the total traffic corresponds to the current URL: But I'd like to add a second line to the graph, representing the site's total pageviews, similiar to this (but this one is showing just a different metric for the same URL): Thanks!

    Read the article

  • NFS v4, HA Migration, and stale handles on clients

    - by Karl Katzke
    I'm managing a server running NFS v4 with Pacemaker/OpenAIS. NFS is configured to use TCP. When I migrate the NFS server to another node in the Pacemaker cluster, even though the metadata is persisted, connections from the clients 'hang' and eventually time out after 90 seconds. After that 90 seconds, the old mountpoint becomes 'stale' and the mounted files can no longer be accessed. The 90 second grace period seems to be part of the server configuration and not the client configuration. I see this message on the server: kernel: NFSD: starting 90-second grace period If I restart the NFS client on the client nodes after I migrate (unmounting and then remounting the share), then I don't experience the problem, but connections and file transfers still interrupted. Three questions: What is the 90 second grace period? What's it there for? How can I keep the files from going stale on the clients without restarting them after I migrate the NFS server to another node? Is it actually possible to migrate the NFS server without having large file uploads drop?

    Read the article

  • virtualbox snapshot size

    - by intuited
    I've started using Windows 7 under VirtualBox on an Ubuntu 10.10 host. I took about 6 snapshots over the course of setting up the VM from the Windows restore image that came with the computer. My installations were more or less limited to windows updates, antivirus, and the VB Guest Additions. I uninstalled much more than I installed. The VM was running for about 24 hours total. The snapshots increased in size at a worrisome rate, even when the machine was idle: the snapshot .vdi file for the period between 11:22 PM and 9:02 AM is 6 gigs in size; during that time very little happened. The other .vdi files are between 0.5 and 3 GB, most between 1 and 2 GB. The corresponding .sav files are between 0.5 and 1 GB. The Internet connection where I was doing this is limited to 30KB/s download, which, constantly saturated, works out to less than 3 GB per 24 hour period. Is this normal? Is there something that can be done to make snapshots more practical? update On starting up the VM again, I've noticed that mscorsvw is using significant processing time. Apparently this process [precompiles .NET assemblies]. This may have been going on during the period when I was taking snapshots, which might explain some of the snapshot size increase. I would be somewhat surprised to learn that this could be responsible for over 10 GB of additional disk usage, or that it would run for roughly 24 hours. Is this possible?

    Read the article

  • Android sending lots of SMS messages

    - by Robert Parker
    I have a app, which sends a lot of SMS messages to a central server. Each user will probably send ~300 txts/day. SMS messages are being used as a networking layer, because SMS is almost everywhere and mobile internet is not. The app is intended for use in a lot of 3rd world countries where mobile internet is not ubiquitous. When I hit a limit of 100 messages, I get a prompt for each message sent. The prompt says "A large number of SMS messages are being sent". This is not ok for the user to get prompted each time to ask if the app can send a text message. The user doesn't want to get 30 consecutive prompts. I found this android source file with google. It could be out of date, I can't tell. It looks like there is a limit of 100 sms messages every 3600000ms(1 day) for each application. http://www.netmite.com/android/mydroid/frameworks/base/telephony/java/com/android/internal/telephony/gsm/SMSDispatcher.java /** Default checking period for SMS sent without uesr permit */ private static final int DEFAULT_SMS_CHECK_PERIOD = 3600000; /** Default number of SMS sent in checking period without uesr permit */ private static final int DEFAULT_SMS_MAX_ALLOWED = 100; and /** * Implement the per-application based SMS control, which only allows * a limit on the number of SMS/MMS messages an app can send in checking * period. */ private class SmsCounter { private int mCheckPeriod; private int mMaxAllowed; private HashMap<String, ArrayList<Long>> mSmsStamp; /** * Create SmsCounter * @param mMax is the number of SMS allowed without user permit * @param mPeriod is the checking period */ SmsCounter(int mMax, int mPeriod) { mMaxAllowed = mMax; mCheckPeriod = mPeriod; mSmsStamp = new HashMap<String, ArrayList<Long>> (); } boolean check(String appName) { if (!mSmsStamp.containsKey(appName)) { mSmsStamp.put(appName, new ArrayList<Long>()); } return isUnderLimit(mSmsStamp.get(appName)); } private boolean isUnderLimit(ArrayList<Long> sent) { Long ct = System.currentTimeMillis(); Log.d(TAG, "SMS send size=" + sent.size() + "time=" + ct); while (sent.size() > 0 && (ct - sent.get(0)) > mCheckPeriod ) { sent.remove(0); } if (sent.size() < mMaxAllowed) { sent.add(ct); return true; } return false; } } Is this even the real android code? It looks like it is in the package "com.android.internal.telephony.gsm", I can't find this package on the android website. How can I disable/modify this limit? I've been googling for solutions, but I haven't found anything.

    Read the article

  • In MySQL, what is the most effective query design for joining large tables with many to many relatio

    - by lighthouse65
    In our application, we collect data on automotive engine performance -- basically source data on engine performance based on the engine type, the vehicle running it and the engine design. Currently, the basis for new row inserts is an engine on-off period; we monitor performance variables based on a change in engine state from active to inactive and vice versa. The related engineState table looks like this: +---------+-----------+---------------+---------------------+---------------------+-----------------+ | vehicle | engine | engine_state | state_start_time | state_end_time | engine_variable | +---------+-----------+---------------+---------------------+---------------------+-----------------+ | 080025 | E01 | active | 2008-01-24 16:19:15 | 2008-01-24 16:24:45 | 720 | | 080028 | E02 | inactive | 2008-01-24 16:19:25 | 2008-01-24 16:22:17 | 304 | +---------+-----------+---------------+---------------------+---------------------+-----------------+ For a specific analysis, we would like to analyze table content based on a row granularity of minutes, rather than the current basis of active / inactive engine state. For this, we are thinking of creating a simple productionMinute table with a row for each minute in the period we are analyzing and joining the productionMinute and engineEvent tables on the date-time columns in each table. So if our period of analysis is from 2009-12-01 to 2010-02-28, we would create a new table with 129,600 rows, one for each minute of each day for that three-month period. The first few rows of the productionMinute table: +---------------------+ | production_minute | +---------------------+ | 2009-12-01 00:00 | | 2009-12-01 00:01 | | 2009-12-01 00:02 | | 2009-12-01 00:03 | +---------------------+ The join between the tables would be engineState AS es LEFT JOIN productionMinute AS pm ON es.state_start_time <= pm.production_minute AND pm.production_minute <= es.event_end_time. This join, however, brings up multiple environmental issues: The engineState table has 5 million rows and the productionMinute table has 130,000 rows When an engineState row spans more than one minute (i.e. the difference between es.state_start_time and es.state_end_time is greater than one minute), as is the case in the example above, there are multiple productionMinute table rows that join to a single engineState table row When there is more than one engine in operation during any given minute, also as per the example above, multiple engineState table rows join to a single productionMinute row In testing our logic and using only a small table extract (one day rather than 3 months, for the productionMinute table) the query takes over an hour to generate. In researching this item in order to improve performance so that it would be feasible to query three months of data, our thoughts were to create a temporary table from the engineEvent one, eliminating any table data that is not critical for the analysis, and joining the temporary table to the productionMinute table. We are also planning on experimenting with different joins -- specifically an inner join -- to see if that would improve performance. What is the best query design for joining tables with the many:many relationship between the join predicates as outlined above? What is the best join type (left / right, inner)?

    Read the article

  • Using the Google Analytics Export API to get a websites trend

    - by Doug
    hi there, i am working on an application that uses the Google Analytics Export API and i am trying to get the "Trend" result that Google shows against each of your site accounts as a percentage ie UP 35.04% or DOWN 16.02% How/where do they get this figure and is it available in the API somewhere. i have tried comparing averages of last month to this month/first week of the period vs last week of the period etc, but i cannot seem to get the same numbers that Google provides. any ideas? thanks in advance Doug

    Read the article

  • How to give default values for the sum, count if no data exist in mysql query which uses group by?

    - by Salil
    I am using following query which works fine for me except one problem SELECT f.period as month, sum(p.revenue * ((100-q.rate)/100)) as revenue ,count(distinct q.label) as tot_stmt FROM files f, reports p, rates q,albums a where f.period in ('2010-06-01','2010-05-01','2010-04-01','2010-03-01') and f.period_closed = true and q.period = f.period and a.id = q.album_id and p.file_id = f.id and p.upc = a.upc and p.revenue is not null GROUP BY month ORDER BY month DESC O/P = month            revenue     tot_stmt 2010-06-01     10.00         2 2010-05-01     340.47       2 I want result like following month            revenue     tot_stmt 2010-06-01     10.00         2 2010-05-01     340.47       2 2010-04-01     0.00           0 2010-03-01     0.00           0 Regards, Salil Gaikwad

    Read the article

  • How to apply or chain multiple matching templates in XSLT?

    - by Ignatius
    I am working on a stylesheet employing many templates with match attributes: <xsl:template match="//one" priority="0.7"> <xsl:param name="input" select="."/> <xsl:value-of select="util:uppercase($input)"/> <xsl:next-match /> </xsl:template> <xsl:template match="/stuff/one"> <xsl:param name="input" select="."/> <xsl:value-of select="util:add-period($input)"/> </xsl:template> <xsl:function name="util:uppercase"> <xsl:param name="input"/> <xsl:value-of select="upper-case($input)"/> </xsl:function> <xsl:function name="util:add-period"> <xsl:param name="input"/> <xsl:value-of select="concat($input,'.')"/> </xsl:function> What I would like to do is be able to 'chain' the two functions above, so that an input of 'string' would be rendered in the output as 'STRING.' (with the period.) I would like to do this in such a way that doesn't require knowledge of other templates in any other template. So, for instance, I would like to be able to add a "util:add-colon" method without having to open up the hood and monkey with the existing templates. I was playing around with the <xsl:next-match/> instruction to accomplish this. Adding it to the first template above does of course invoke both util:uppercase and util:add-period, but the output is an aggregation of each template output (i.e. 'STRINGstring.') It seems like there should be an elegant way to chain any number of templates together using something like <xsl:next-match/>, but have the output of each template feed the input of the next one in the chain. Am I overlooking something obvious?

    Read the article

  • Pivot function in sql server 2008

    - by Ranjana
    how to carry out the pivot function i have a table with datas Day Period subject fromtime totime Monday 1st English 9:30 10:15 Monday 1st English 9:30 10:15 Monday 5th English 1:30 2:20 Monday 8th English 3:40 4:30 but i need the format as day period(1st) 2nd 3rd...... 5th... 8th Monday 1st nill nill 5th 8th english english english Tuesday ....... In this way. How to Perform the pivot function to get in this format. Please help me out........

    Read the article

  • Get the subdomain from a URL

    - by jb
    Getting the subdomain from a URL sounds easy at first. http://www.domain.example Scan for the first period then return whatever came after the "http://" ... Then you remember http://super.duper.domain.example Oh. So then you think, okay, find the last period, go back a word and get everything before! Then you remember http://super.duper.domain.co.uk And you're back to square one. Anyone have any great ideas besides storing a list of all TLDs? John

    Read the article

  • QT List of Callbacks

    - by Talguy
    I am trying to make a real-time data collection application that has timed task. Each task can have a different or the same update period. I would like to store the task with the common update period in a list where I can iterate through it and call the function that I registered in the list. How would I go about adding callbacks to a data structure like a list or vector? Can I store slots in them?

    Read the article

  • DMV {dm_os_ring_buffers} - Queries to help pinpoint current Issues / usual usage patterns

    - by NeilHambly
    I'm been running some queries (below) to help me identify when I have had time-sensitive performance issues around Memory/CPU, I didn't want to load up additional overhead to the system (unless absolutely neccessary) using traces or profiler  - naturally we have various methods to do this Perfmon counters, DBCC, DMVs etc.. One quick way I like is to run a few DMV queries (normally back in seconds) to help me find those RECENT specific time periods when the system has been substantially changed in some way using, this is using the DMV dm_os_ring_buffers This one helps me identify when I'm expericing Timeout Errors (1222).. modiy code to look for other error as highlight belowDECLARE @ts_now BIGINT,@dt_max BIGINT, @dt_min BIGINT  SELECT @ts_now = cpu_ticks / CONVERT(FLOAT, cpu_ticks_in_ms) FROM sys.dm_os_sys_info SELECT @dt_max = MAX(timestamp), @dt_min = MIN(timestamp)    FROM sys.dm_os_ring_buffers WHERE ring_buffer_type = N'RING_BUFFER_EXCEPTION'  SELECT       record_id      ,DATEADD(ms, -1 * (@ts_now - [timestamp]), GETDATE()) AS EventTime      ,y.Error      ,UserDefined      ,b.description as NormalizedText FROM       (       SELECT       record.value('(./Record/@id)[1]', 'int')                    AS record_id,       record.value('(./Record/Exception/Error)[1]', 'int')        AS Error,       record.value('(./Record/Exception/UserDefined)[1]', 'int')  AS UserDefined,      TIMESTAMP       FROM             (             SELECT TIMESTAMP, CONVERT(XML, record) AS record             FROM sys.dm_os_ring_buffers             WHERE ring_buffer_type = N'RING_BUFFER_EXCEPTION'             AND record LIKE '% %'            ) AS x      ) AS y INNER JOIN sys.sysmessages b on y.Error = b.error WHERE b.msglangid = 1033 and  y.Error = 1222 ORDER BY record_id DESC Sample Output record_id EventTime Error UserDefined NormalizedText 15199195 18/03/2010 14:00 1222 0 Lock request time out period exceeded. 15199194 18/03/2010 14:00 1222 0 Lock request time out period exceeded. 15199193 18/03/2010 14:00 1222 0 Lock request time out period exceeded. 15199192 18/03/2010 14:00 1222 0 Lock request time out period exceeded. 15199191 18/03/2010 14:00 1222 0 Lock request time out period exceeded.  This one helps me identify when I have Unusally High Processing (> 50%) or # Page-FaultsSELECT record.value('(./Record/@id)[1]', 'int') AS record_id,record.value('(./Record/SchedulerMonitorEvent/SystemHealth/SystemIdle)[1]', 'int')              AS SystemIdle,record.value('(./Record/SchedulerMonitorEvent/SystemHealth/ProcessUtilization)[1]', 'int')      AS SQLProcessUtilization,record.value('(./Record/SchedulerMonitorEvent/SystemHealth/UserModeTime)[1]', 'bigint')         AS UserModeTime,record.value('(./Record/SchedulerMonitorEvent/SystemHealth/KernelModeTime)[1]', 'bigint')       AS KernelModeTime,record.value('(./Record/SchedulerMonitorEvent/SystemHealth/PageFaults)[1]', 'bigint')           AS PageFaults,record.value('(./Record/SchedulerMonitorEvent/SystemHealth/WorkingSetDelta)[1]', 'bigint')      AS WorkingSetDelta,record.value('(./Record/SchedulerMonitorEvent/SystemHealth/MemoryUtilization)[1]', 'int')       AS MemoryUtilization,TIMESTAMPFROM (        SELECT TIMESTAMP, CONVERT(XML, record) AS record         FROM sys.dm_os_ring_buffers         WHERE ring_buffer_type = N'RING_BUFFER_SCHEDULER_MONITOR'        AND record LIKE '% %'         ) AS x Example: Showing entries > 50% SQL CPU record_id SystemIdle SQLProcessUtilization UserModeTime KernelModeTime PageFaults WorkingSetDelta MemoryUtilization TIMESTAMP 111916 66 29 36718750 1374843750 21333 -40960 100 7991061289 111917 54 41 50156250 1954062500 26914 -28672 100 7991121290 111918 57 39 42968750 1838437500 30096 20480 100 7991181290 111919 41 53 43906250 2530156250 22088 -4096 100 7991241307 111920 48 45 40937500 2124062500 26395 8192 100 7991301310 111921 52 43 35625000 2052812500 21996 155648 100 7991361311 111922 40 55 36875000 2637343750 33355 -262144 100 7991421311 111923 36 58 44843750 2786562500 47019 28672 100 7991481311 111924 31 64 53437500 3046562500 31027 61440 100 7991541314 111925 36 57 43906250 2711250000 37074 -8192 100 7991601317 111926 52 43 43437500 2060156250 29176 20480 100 7991661318 111927 71 24 33750000 1141250000 14478 16384 100 7991721320 111928 71 23 34531250 1116250000 12711 -20480 100 7991781320 111929 53 36 46562500 1714062500 26684 200704 100 7991841323 Finally one to provide some understanding of the level of memory state changes that are ocuringSELECT record.value('(./Record/@id)[1]', 'int')                                                       AS 'record_id',record.value('(./Record/ResourceMonitor/Notification)[1]', 'VARCHAR(100)')                     AS 'ReservedMemory',record.value('(./Record/ResourceMonitor/Indicators)[1]', 'int')                                AS 'Indicators',record.value('(./Record/ResourceMonitor/Effect/@state)[1]', 'VARCHAR(100)')         + ' - ' + record.value('(./Record/ResourceMonitor/Effect/@reversed)[1]', 'VARCHAR(100)')      + ' - ' + record.value('(./Record/ResourceMonitor/Effect)[1]', 'VARCHAR(100)')                           AS 'APPLY-HIGHPM',record.value('(./Record/ResourceMonitor/Effect/@state)[2]', 'VARCHAR(100)')         + ' - ' + record.value('(./Record/ResourceMonitor/Effect/@reversed)[2]', 'VARCHAR(100)')      + ' - ' + record.value('(./Record/ResourceMonitor/Effect)[2]', 'VARCHAR(100)')                           AS 'APPLY-HIGHPM',record.value('(./Record/ResourceMonitor/Effect/@state)[3]', 'VARCHAR(100)')         + ' - ' + record.value('(./Record/ResourceMonitor/Effect/@reversed)[3]', 'VARCHAR(100)')      + ' - ' + record.value('(./Record/ResourceMonitor/Effect)[3]', 'VARCHAR(100)')                           AS 'REVERT_HIGHPM',record.value('(./Record/MemoryNode/ReservedMemory)[1]', 'int')                                 AS 'ReservedMemory',record.value('(./Record/MemoryNode/CommittedMemory)[1]', 'int')                                AS 'CommittedMemory',record.value('(./Record/MemoryNode/SharedMemory)[1]', 'int')                                   AS 'SharedMemory',record.value('(./Record/MemoryNode/AWEMemory)[1]', 'int')                                      AS 'AWEMemory',record.value('(./Record/MemoryNode/SinglePagesMemory)[1]', 'int')                              AS 'SinglePagesMemory',record.value('(./Record/MemoryNode/CachedMemory)[1]', 'int')                                   AS 'CachedMemory',record.value('(./Record/MemoryRecord/MemoryUtilization)[1]', 'int')                            AS 'MemoryUtilization',record.value('(./Record/MemoryRecord/TotalPhysicalMemory)[1]', 'int')                          AS 'TotalPhysicalMemory',record.value('(./Record/MemoryRecord/AvailablePhysicalMemory)[1]', 'int')                      AS 'AvailablePhysicalMemory',record.value('(./Record/MemoryRecord/TotalPageFile)[1]', 'int')                                AS 'TotalPageFile',record.value('(./Record/MemoryRecord/AvailablePageFile)[1]', 'int')                            AS 'AvailablePageFile',record.value('(./Record/MemoryRecord/TotalVirtualAddressSpace)[1]', 'bigint')                  AS 'TotalVirtualAddressSpace',record.value('(./Record/MemoryRecord/AvailableVirtualAddressSpace)[1]', 'bigint')              AS 'AvailableVirtualAddressSpace',record.value('(./Record/MemoryRecord/AvailableExtendedVirtualAddressSpace)[1]', 'bigint')      AS 'AvailableExtendedVirtualAddressSpace', TIMESTAMPFROM (        SELECT TIMESTAMP, CONVERT(XML, record) AS record         FROM sys.dm_os_ring_buffers         WHERE ring_buffer_type = N'RING_BUFFER_RESOURCE_MONITOR'        AND record LIKE '% %'        ) AS x  

    Read the article

  • Amazon Web Services (AWS) Plug-in for Oracle Enterprise Manager

    - by Anand Akela
    v\:* {behavior:url(#default#VML);} o\:* {behavior:url(#default#VML);} w\:* {behavior:url(#default#VML);} .shape {behavior:url(#default#VML);} Normal 0 false false false false EN-US X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:10.0pt; font-family:"Calibri","sans-serif"; mso-bidi-font-family:"Times New Roman";} Contributed by Sunil Kunisetty and Daniel Chan Introduction and ArchitectureAs more and more enterprises deploy some of their non-critical workload on Amazon Web Services (AWS), it’s becoming critical to monitor those public AWS resources along side with their on-premise resources. Oracle recently announced Oracle Enterprise Manager Plug-in for Amazon Web Services (AWS) allows you to achieve that goal. The on-premise Oracle Enterprise Manager (EM12c) acts as a single tool to get a comprehensive view of your public AWS resources as well as your private cloud resources.  By deploying the plug-in within your Cloud Control environment, you gain the following management features: Monitor EBS, EC2 and RDS instances on Amazon Web Services Gather performance metrics and configuration details for AWS instances Raise alerts and violations based on thresholds set on monitoring Generate reports based on the gathered data Users of this Plug-in can leverage the rich Enterprise Manager features such as system promotion, incident generation based on thresholds, integration with 3rd party ticketing applications etc. AWS Monitoring via this Plug-in is enabled via Amazon CloudWatch API and the users of this Plug-in are responsible for supplying credentials for accessing AWS and the CloudWatch API. This Plug-in can only be deployed on an EM12C R2 platform and agent version should be at minimum 12c R2.Here is a pictorial view of the overall architecture: Amazon Elastic Block Store (EBS) Amazon Elastic Compute Cloud (EC2) Amazon Relational Database Service (RDS) Here are a few key features: Rich and exhaustive list of metrics. Metrics can be gathered from an Agent running outside AWS. Critical configuration information. Custom Home Pages with charts and AWS configuration information. Generate incidents based on thresholds set on monitoring data. Discovery and Monitoring AWS instances can be added to EM12C either via the EM12c User Interface (UI) or the EM12c Command Line Interface ( EMCLI)  by providing the AWS credentials (Secret Key and Access Key Id) as well as resource specific properties as target properties. Here is a quick mapping of target types and properties for each AWS resources AWS Resource Type Target Type Resource specific properties EBS Resource Amazon EBS Service CloudWatch base URI, EC2 Base URI, Period, Volume Id, Proxy Server and Port EC2 Resource Amazon EC2 Service CloudWatch base URI, EC2 Base URI, Period, Instance  Id, Proxy Server and Port RDS Resource Amazon RDS Service CloudWatch base URI, RDS Base URI, Period, Instance  Id, Proxy Server and Port Proxy server and port are optional and are only needed if the agent is within the firewall. Here is an emcli example to add an EC2 target. Please read the Installation and Readme guide for more details and step-by-step instructions to deploy  the plugin and adding the AWS the instances. ./emcli add_target \       -name="<target name>" \       -type="AmazonEC2Service" \       -host="<host>" \       -properties="ProxyHost=<proxy server>;ProxyPort=<proxy port>;EC2_BaseURI=http://ec2.<region>.amazonaws.com;BaseURI=http://monitoring.<region>.amazonaws.com;InstanceId=<EC2 instance Id>;Period=<data point periond>"  \     -subseparator=properties="=" ./emcli set_monitoring_credential \                 -set_name="AWSKeyCredentialSet"  \                 -target_name="<target name>"  \                 -target_type="AmazonEC2Service" \                 -cred_type="AWSKeyCredential"  \                 -attributes="AccessKeyId:<access key id>;SecretKey:<secret key>" Emcli utility is found under the ORACLE_HOME of EM12C install. Once the instance is discovered, the target will show up under the ‘All Targets’ list under “Amazon EC2 Service’. Once the instances are added, one can navigate to the custom homepages for these resource types. The custom home pages not only include critical metrics, but also vital configuration parameters and incidents raised for these instances.  By mapping the configuration parameters as instance properties, we can slice-and-dice and group various AWS instance by leveraging the EM12C Config search feature. The following configuration properties and metrics are collected for these Resource types. Resource Type Configuration Properties Metrics EBS Resource Volume Id, Volume Type, Device Name, Size, Availability Zone Response: Status Utilization: QueueLength, IdleTime Volume Statistics: ReadBrandwith, WriteBandwidth, ReadThroughput, WriteThroughput Operation Statistics: ReadSize, WriteSize, ReadLatency, WriteLatency EC2 Resource Instance ID, Owner Id, Root Device type, Instance Type. Availability Zone Response: Status CPU Utilization: CPU Utilization Disk I/O:  DiskReadBytes, DiskWriteBytes, DiskReadOps, DiskWriteOps, DiskReadRate, DiskWriteRate, DiskIOThroughput, DiskReadOpsRate, DiskWriteOpsRate, DiskOperationThroughput Network I/O : NetworkIn, NetworkOut, NetworkInRate, NetworkOutRate, NetworkThroughput RDS Resource Instance ID, Database Engine Name, Database Engine Version, Database Instance Class, Allocated Storage Size, Availability Zone Response: Status Disk I/O:  ReadIOPS, WriteIOPS, ReadLatency, WriteLatency, ReadThroughput, WriteThroughput DB Utilization:  BinLogDiskUsage, CPUUtilization, DatabaseConnections, FreeableMemory, ReplicaLag, SwapUsage Custom Home Pages As mentioned above, we have custom home pages for these target types that include basic configuration information,  last 24 hours availability, top metrics and the incidents generated. Here are few snapshots. EBS Instance Home Page: EC2 Instance Home Page: RDS Instance Home Page: Further Reading: 1)      AWS Plugin download 2)      Installation and  Read Me. 3)      Screenwatch on SlideShare 4)      Extensibility Programmer's Guide 5)      Amazon Web Services

    Read the article

  • Know Your Service Request Status

    - by Get Proactive Customer Adoption Team
    Untitled Document To monitor a Service Request or not to monitor a Service Request... That should never be the question Monitoring the Service Requests you create is an essential part of the process to resolve your issue when you work with a Support Engineer. If you monitor your Service Request, you know at all times where it is in the process, or to be more specific, you know at all times what action the Support Engineer has taken on your request and what the next step is. When you think about it, it is rather simple... Oracle Support is working the issue, Oracle Development is working the issue, or you are. When you check on the status, you may find that the Support Engineer has a question for you or the engineer is waiting for more information to resolve the issue. If you monitor the Service Request, and respond quickly, the process keeps moving, and you’ll get your answer more quickly. Monitoring a Service Request is easy. All you need to do is check the status codes that the Support Engineer or the system assigns to your Service Request. These status codes are not static. You will see that during the life of your Service request, it will go through a variety of status codes. The best advice I can offer you when you monitor your Service Request is to watch the codes. If the status is not changing, or if you are not getting responses back within the agreed timeframes, you should review the action plan the Support Engineer has outlined or talk about a new action plan. Here are the most common status codes: Work in Progress indicates that your Support Engineer is researching and working the issue. Development Working means that you have a code related issue and Oracle Support has submitted a bug to Development. Please pay a particular attention to the following statuses; they indicate that the Support Engineer is waiting for a response from you: Customer Working usually means that your Support Engineer needs you to collect additional information, needs you to try something or to apply a patch, or has more questions for you. Solution Offered indicates that the Support Engineer has identified the problem and has provided you with a solution. Auto-Close or Close Initiated are statuses you don’t want to see. Monitoring your Service Request helps prevent your issues from reaching these statuses. They usually indicate that the Support Engineer did not receive the requested information or action from you. This is important. If you fail to respond, the Support Engineer will attempt to contact you three times over a two-week period. If these attempts are unsuccessful, he or she will initiate the Auto-Close process. At the end of this additional two-week period, if you have not updated the Service Request, your Service Request is considered abandoned and the Support Engineer will assign a Customer Abandoned status. A Support Engineer doesn’t like to see this status, since he or she has been working to solve your issue, but we know our customers dislike it even more, since it means their issue is not moving forward. You can avoid delays in resolving your issue by monitoring your Service Request and acting quickly when you see the status change. Respond to the request from the engineer to answer questions, collect information, or to try the offered solution. Then the Support Engineer can continue working the issue and the Service Request keeps moving forward towards resolution. Keep in mind that if you take an extended period of time to respond to a request or to provide the information requested, the Support Engineer cannot take the next step. You may inadvertently send an implicit message about the problem’s urgency that may not match the Service Request priority, and your need for an answer. Help us help you. We want to get you the answer as quickly as possible so you can stay focused on your company’s objectives. Now, back to our initial question. To monitor Service Requests or not to monitor Service Requests? I think the answer is clear: yes, monitor your Service Request to resolve the issue as quickly as possible.

    Read the article

  • Searching Week-wise/Month-wise record counts(number) and the StartDate+EndDate(datetime) of the Week

    - by Muzaffar Ali Rana
    I have a question in connection to this question earlier posted by me:- http://stackoverflow.com/questions/2452984/daily-weekly-monthly-record-count-search-via-storedprocedure I want to have the Count of Calls on Weekly-basis and Monthly-basis, Daily-basis issue is resolved. ISSUE NUMBER @1:Weekly-basis Count of Calls and Start-Date and End-Date of Week I have searched the Start-Date and End-Date of Week including their individual Count of Calls as well in the below-mentioned query. But the problem is that I could not get the result in one single table, although I have used the Temporary Tables(#TempTable+#TempTable2). Kindly help me in this regards. NOTE:Table Creation commented as for executing more than once. ----- *** TABLE CREATION OF #TempTable & #TempTable2 *** ---------- --CREATE TABLE #TempTable( StartDate datetime,EndDate datetime,CallCount numeric(18,5)) --CREATE TABLE #TempTable2( StartDate datetime,EndDate datetime,CallCount numeric(18,5)) DECLARE @StartDate datetime,@EndDate datetime,@StartDateTemp1 datetime,@StartDateTemp2 datetime,@EndDateTemp datetime,@Period varchar(50); SET @StartDate='1/1/2010'; SET @EndDate='2/28/2010'; SET @StartDateTemp1=@StartDate; SET @StartDateTemp2=DATEADD(dd, 7, @StartDate ); SET @Period='Weekly'; IF (@Period = 'Weekly') BEGIN WHILE ((@StartDate <= @StartDateTemp1) AND (@StartDateTemp2 <= @EndDate)) BEGIN IF((@StartDateTemp1 < @StartDateTemp2 ) AND (@StartDateTemp1 != @StartDateTemp2) ) BEGIN SELECT convert(varchar, @StartDateTemp1, 106) AS 'Start Date', convert(varchar, @StartDateTemp2, 106) AS 'End Date', COUNT(*) AS 'Call Count' FROM TRN_Call WHERE (CallTime = @StartDateTemp1 AND CallTime <= @StartDateTemp2 ); END SET @StartDateTemp1 = DATEADD(dd, 7, @StartDateTemp1); SET @StartDateTemp2 = DATEADD(dd, 7, @StartDateTemp2); END END ISSUE NUMBER @2:Monthly-basis Count of Calls and Start-Date and End-Date of Week In this case, I have the same search, but will have to search the Call Counts plus the Start-Date and End-Date of the Month. Kindly help me in this regards as well.

    Read the article

  • How can I improve my real-time behavior in multi-threaded app using pthreads and condition variables

    - by WilliamKF
    I have a multi-threaded application that is using pthreads. I have a mutex() lock and condition variables(). There are two threads, one thread is producing data for the second thread, a worker, which is trying to process the produced data in a real time fashion such that one chuck is processed as close to the elapsing of a fixed time period as possible. This works pretty well, however, occasionally when the producer thread releases the condition upon which the worker is waiting, a delay of up to almost a whole second is seen before the worker thread gets control and executes again. I know this because right before the producer releases the condition upon which the worker is waiting, it does a chuck of processing for the worker if it is time to process another chuck, then immediately upon receiving the condition in the worker thread, it also does a chuck of processing if it is time to process another chuck. In this later case, I am seeing that I am late processing the chuck many times. I'd like to eliminate this lost efficiency and do what I can to keep the chucks ticking away as close to possible to the desired frequency. Is there anything I can do to reduce the delay between the release condition from the producer and the detection that that condition is released such that the worker resumes processing? For example, would it help for the producer to call something to force itself to be context switched out? Bottom line is the worker has to wait each time it asks the producer to create work for itself so that the producer can muck with the worker's data structures before telling the worker it is ready to run in parallel again. This period of exclusive access by the producer is meant to be short, but during this period, I am also checking for real-time work to be done by the producer on behalf of the worker while the producer has exclusive access. Somehow my hand off back to running in parallel again results in significant delay occasionally that I would like to avoid. Please suggest how this might be best accomplished.

    Read the article

  • Alternative to sql NOT IN?

    - by Alex
    Hi, I am trying to make a materialized view in Oracle (I am a newbie, btw). For some reason, it doesn't like the presence of sub-query in it. I've been trying to use LEFT OUTER JOIN instead, but it's returning different data set now. Put simply, here's the code I'm trying to modify: SELECT * FROM table1 ros, table2 bal, table3 flx WHERE flx.name = 'XXX' AND flx.value = bal.value AND NVL (ros.ret, 'D') = Nvl (flx.attr16, 'D') AND ros.value = bal.segment3 AND ros.type IN ( 'AL', 'AS', 'PL' ) AND bal.period = 13 AND bal.code NOT IN (SELECT bal1.code FROM table2 bal1 WHERE bal1.value = flx.value AND bal1.segment3 = ros.value AND bal1.flag = bal.flag AND bal1.period = 12 AND bal1.year = bal.year) And here's one of my attempt: SELECT * FROM table1 ros, table2 bal, table3 flx LEFT OUTER JOIN table2 bal1 ON bal.code = bal1.code WHERE bal1.code is null AND bal1.segment3 = ros.value AND bal.segment3 = ros.value AND bal1.flag = bal.flag AND bal1.year = bal.year AND flx.name = 'XXX' AND flx.value = bal.value AND bal1.value = flx.value AND bal1.period_num = 12 AND NVL (ros.type, 'D') = NVL (flx.attr16, 'D') AND ros.value = bal.segment3 AND ros.type IN ( 'AL', 'AS', 'PL' ) AND bal.period = 13; This drives me nuts! Thanks in advance for the help :)

    Read the article

  • What would you write in a consitution (law book) for a programmers' country?

    - by Developer Art
    After we have got our great place to talk about professional matters and sozialize online - on SO, I believe the next logical step would be to found our own country! I invite you all to participate and bring together your available resources. We will buy an island, better even a group of island so that we could establish states like .NET territories, Java land, Linux republic etc. We will build a society of programmers (girls - we need you too). To the organizational side, we're going to need some constitution or a law book. I suggest we write it together. I make it a wiki as it should be a cooperative effort. I'll open the work. Section 1. Programmers' rights. Every citizen has a right to an Internet connection 24/7. Every citizen can freely choose the field of interest Section 2. Programmers' obligations. Every citizen must embrace the changing nature of the profession and constanly educate himself Section 3. Law enforcement. Code duplication when can be avoided is punished by limiting the bandwith speed to 64Kbit for a period of one week. Using ugly hacks instead of refactoring code is punished by cutting the Internet connection for a period of one month. Usage of technologies older than 5/10 years is punished by restricting the web access to the sites last updated 5/10 years ago for a period of one month. Please feel free to modify and extend the list. We'll need to have it ready before we proceed formally with the country foundation. A purchase fund will be established shortly. Everyone is invited to participate.

    Read the article

  • What would you write in a Constitution (law book) for a programmers' country? [closed]

    - by Developer Art
    After we have got our great place to talk about professional matters and sozialize online - on SO, I believe the next logical step would be to found our own country! I invite you all to participate and bring together your available resources. We will buy an island, better even a group of islands so that we could establish states like .NET territories, Java land, Linux republic etc. We will build a society of programmers (girls - we need you too). To the organizational side, we're going to need some sort of a Constitution or a law book. I suggest we write it together. I make it a wiki as it should be a cooperative effort. I'll open the work. Section 1. Programmers' rights. Every citizen has a right to an Internet connection 24/7. Every citizen can freely choose the field of interest Section 2. Programmers' obligations. Every citizen must embrace the changing nature of the profession and constanly educate himself Section 3. Law enforcement. Code duplication when can be avoided is punished by limiting the bandwith speed to 64Kbit for a period of one week. Using ugly hacks instead of refactoring code is punished by cutting the Internet connection for a period of one month. Usage of technologies older than 5/10 years is punished by restricting the web access to the sites last updated 5/10 years ago for a period of one month. Please feel free to modify and extend the list. We'll need to have it ready before we proceed formally with the country foundation. A purchase fund will be established shortly. Everyone is invited to participate.

    Read the article

< Previous Page | 6 7 8 9 10 11 12 13 14 15 16 17  | Next Page >