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    <title>topic dataset creation dfm in Active IQ Unified Manager Discussions</title>
    <link>https://community.netapp.com/t5/Active-IQ-Unified-Manager-Discussions/dataset-creation-dfm/m-p/14169#M2857</link>
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" /&gt;&lt;/P&gt;&lt;P&gt;also i need to change the protocol for 2nd member to FCP...can we change a single member or we will have to change for all, i need to change the protocol for lun testFPSAlun10 to FCP , is it possible to have members of different protocol in same dataset &lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
    <pubDate>Thu, 11 Aug 2011 12:38:27 GMT</pubDate>
    <dc:creator>SANJEEVROHILA</dc:creator>
    <dc:date>2011-08-11T12:38:27Z</dc:date>
    <item>
      <title>dataset creation dfm</title>
      <link>https://community.netapp.com/t5/Active-IQ-Unified-Manager-Discussions/dataset-creation-dfm/m-p/14145#M2848</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;I am getting the below error only if i use the hba initiator, however its able to select new aggrgrate if hba initiator is not provided ...&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;=== SEVERITY ===&lt;/P&gt;&lt;P&gt;Error:&amp;nbsp;&amp;nbsp; Attention:Could not reuse existing volume(s) in dataset node or select a new aggregatefor provisioning a volume.&lt;/P&gt;&lt;P&gt;=== ACTION ===&lt;/P&gt;&lt;P&gt;Select aggregate for provisioning a new volume based on theprovisioning policy and dataset configuration.&lt;/P&gt;&lt;P&gt;=== REASON ===&lt;/P&gt;&lt;P&gt;Encountered following error condition(s) when selectingaggregate for provisioning.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt; - There are novolumes provisioned by Provisioning Manager in the dataset node to satisfy theprovisioning request&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt; Storage system :'xxxxNetAppx'(94):&lt;/P&gt;&lt;P&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; - The followinghba initiators are not visible from storage systems xxxxNetAppx (94):50:0a:09:82:96:58:24:90.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Thu, 05 Jun 2025 06:48:30 GMT</pubDate>
      <guid>https://community.netapp.com/t5/Active-IQ-Unified-Manager-Discussions/dataset-creation-dfm/m-p/14145#M2848</guid>
      <dc:creator>SANJEEVROHILA</dc:creator>
      <dc:date>2025-06-05T06:48:30Z</dc:date>
    </item>
    <item>
      <title>Re: dataset creation dfm</title>
      <link>https://community.netapp.com/t5/Active-IQ-Unified-Manager-Discussions/dataset-creation-dfm/m-p/14150#M2849</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Hi,&lt;/P&gt;&lt;P&gt;There are two ways of provision a storage, &lt;/P&gt;&lt;P&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; 1. Automatic Resource selection : Where Provisioning Manager uses Resource Selection Alogrithm to find best aggr to provision storage&lt;/P&gt;&lt;P&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; 2. Manual Resource selecion: Where user can select his own aggr which by-passes the Resource Selection Algorithm&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;In Automatic Resource Selecion: If you want to Provision a FC-Lun and map it to a server then FC connection must be exist between Server and Storage System. Otherwise Lun provisioning wont be allowed and throws above dry-run error.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;But this can be overcome by approaching Manual Resource Selection, where it throws warning message but allows to provision storage. And later user can do make FC connection to access the lun from the server.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;I hope this helps..!&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;PS: This is not the right forum for post queries on ProvisioiningManager, Please follow the below one..!&lt;/P&gt;&lt;P id="jive-breadcrumb"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; &lt;A _jive_internal="true" href="https://community.netapp.com/index.jspa" target="_blank"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; NetApp Community&lt;/A&gt; &amp;gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; &lt;A _jive_internal="true" href="https://community.netapp.com/community/netapp_partners_network" target="_blank"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; Partner &amp;amp; Field Community&lt;/A&gt; &amp;gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; &lt;A _jive_internal="true" href="https://community.netapp.com/community/netapp_partners_network/storage_management_software" target="_blank"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; Storage Management Software&lt;/A&gt; &amp;gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; &lt;A _jive_internal="true" href="https://community.netapp.com/community/netapp_partners_network/storage_management_software?view=discussions" target="_blank"&gt;Discussions&lt;/A&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Warm Regards&lt;/P&gt;&lt;P&gt;Sivaprasad K&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Thu, 11 Aug 2011 08:19:11 GMT</pubDate>
      <guid>https://community.netapp.com/t5/Active-IQ-Unified-Manager-Discussions/dataset-creation-dfm/m-p/14150#M2849</guid>
      <dc:creator>kandati</dc:creator>
      <dc:date>2011-08-11T08:19:11Z</dc:date>
    </item>
    <item>
      <title>dataset creation dfm</title>
      <link>https://community.netapp.com/t5/Active-IQ-Unified-Manager-Discussions/dataset-creation-dfm/m-p/14155#M2850</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;so in the above case its not showing the lun protocol "fcp" ..what would be the default protocol (like the above case) ?&lt;/P&gt;&lt;P&gt;Thanks in advance&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Thu, 11 Aug 2011 09:09:37 GMT</pubDate>
      <guid>https://community.netapp.com/t5/Active-IQ-Unified-Manager-Discussions/dataset-creation-dfm/m-p/14155#M2850</guid>
      <dc:creator>SANJEEVROHILA</dc:creator>
      <dc:date>2011-08-11T09:09:37Z</dc:date>
    </item>
    <item>
      <title>Re: dataset creation dfm</title>
      <link>https://community.netapp.com/t5/Active-IQ-Unified-Manager-Discussions/dataset-creation-dfm/m-p/14159#M2852</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;There is nothing called default protocol. User has to select the protocol(iscsi or fcp) based on his environment something like below,&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;IMG 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" /&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Can I have your policy and dataset settings or output of following commands,&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;#dfpm policy get &amp;lt;policy-name&amp;gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;#dfpm dataset list -x &amp;lt;dataset-name&amp;gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Regards&lt;/P&gt;&lt;P&gt;Sivaprasad K&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Thu, 11 Aug 2011 10:42:43 GMT</pubDate>
      <guid>https://community.netapp.com/t5/Active-IQ-Unified-Manager-Discussions/dataset-creation-dfm/m-p/14159#M2852</guid>
      <dc:creator>kandati</dc:creator>
      <dc:date>2011-08-11T10:42:43Z</dc:date>
    </item>
    <item>
      <title>dataset creation dfm</title>
      <link>https://community.netapp.com/t5/Active-IQ-Unified-Manager-Discussions/dataset-creation-dfm/m-p/14164#M2855</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Hi Siva,&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;i need to create a lun (FCP ), while creatring lun i am giving the port number of the storage array but rest of the things are same as per your screenshot (FC Portname:&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; 50:0a:09:81:96:58:24:xx) but no effect&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;IMG 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" /&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;[root@XXX ~]# dfpm dataset list -x testDMNDS&lt;/P&gt;&lt;P&gt;Id:&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; 11825&lt;/P&gt;&lt;P&gt;Name:&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; testDMNDS&lt;/P&gt;&lt;P&gt;Policy:&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; Back up&lt;/P&gt;&lt;P&gt;Description:&lt;/P&gt;&lt;P&gt;Owner:&lt;/P&gt;&lt;P&gt;Contact:&lt;/P&gt;&lt;P&gt;Volume Qtree Name Prefix:&lt;/P&gt;&lt;P&gt;DR Capable:&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; No&lt;/P&gt;&lt;P&gt;Requires Non Disruptive Restore: No&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Node details:&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&amp;nbsp; Node Name:&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; Primary data&lt;/P&gt;&lt;P&gt;&amp;nbsp;&amp;nbsp; Resource Pools:&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; XXXXResourcePool&lt;/P&gt;&lt;P&gt;&amp;nbsp;&amp;nbsp; Provisioning Policy: SAN&lt;/P&gt;&lt;P&gt;&amp;nbsp;&amp;nbsp; Time Zone:&lt;/P&gt;&lt;P&gt;&amp;nbsp;&amp;nbsp; DR Capable:&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; No&lt;/P&gt;&lt;P&gt;&amp;nbsp;&amp;nbsp; vFiler:&lt;/P&gt;&lt;P&gt;&amp;nbsp;&amp;nbsp; Export Protocol:&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; fcp&lt;/P&gt;&lt;P&gt;&amp;nbsp;&amp;nbsp; OS Type:&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; windows&lt;/P&gt;&lt;P&gt;&amp;nbsp;&amp;nbsp; Mapped Initiators:&amp;nbsp;&amp;nbsp; None&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&amp;nbsp; Node Name:&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; Backup&lt;/P&gt;&lt;P&gt;&amp;nbsp;&amp;nbsp; Resource Pools:&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; YYYYResourcePool&lt;/P&gt;&lt;P&gt;&amp;nbsp;&amp;nbsp; Provisioning Policy:&lt;/P&gt;&lt;P&gt;&amp;nbsp;&amp;nbsp; Time Zone:&lt;/P&gt;&lt;P&gt;&amp;nbsp;&amp;nbsp; DR Capable:&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; No&lt;/P&gt;&lt;P&gt;&amp;nbsp;&amp;nbsp; vFiler:&lt;/P&gt;&lt;P&gt;------------------------------------------------------------------------------&lt;/P&gt;&lt;P&gt;[root@XXX ~]# dfpm policy get SAN&lt;/P&gt;&lt;P&gt;Name:&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; SAN&lt;/P&gt;&lt;P&gt;Description:&lt;/P&gt;&lt;P&gt;Type:&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; san&lt;/P&gt;&lt;P&gt;Disk Failure Reliability:&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; double&lt;/P&gt;&lt;P&gt;Sub System Failure Reliability:&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; Disabled&lt;/P&gt;&lt;P&gt;Controller Failure Reliability:&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; Disabled&lt;/P&gt;&lt;P&gt;Resource Label:&lt;/P&gt;&lt;P&gt;Dataset Member Deduplication Option:&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; Disabled&lt;/P&gt;&lt;P&gt;Dataset Member Deduplication Schedule:&amp;nbsp;&amp;nbsp;&amp;nbsp; none&lt;/P&gt;&lt;P&gt;Thin Provision Storage Space:&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; Enabled&lt;/P&gt;&lt;P&gt;Guarantee Space For LUN Writes:&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; Enabled&lt;/P&gt;&lt;P&gt;Thin Provisioning Configuration:&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; data_and_snapshots&lt;/P&gt;&lt;P&gt;Storage Container To Provision:&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; lun&lt;/P&gt;&lt;P&gt;Dataset Member Nearly Full Threshold (%): 80&lt;/P&gt;&lt;P&gt;Dataset Member Full Threshold (%):&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; 90&lt;/P&gt;&lt;P&gt;Custom Provisioning Script Path:&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Thu, 11 Aug 2011 12:19:16 GMT</pubDate>
      <guid>https://community.netapp.com/t5/Active-IQ-Unified-Manager-Discussions/dataset-creation-dfm/m-p/14164#M2855</guid>
      <dc:creator>SANJEEVROHILA</dc:creator>
      <dc:date>2011-08-11T12:19:16Z</dc:date>
    </item>
    <item>
      <title>dataset creation dfm</title>
      <link>https://community.netapp.com/t5/Active-IQ-Unified-Manager-Discussions/dataset-creation-dfm/m-p/14169#M2857</link>
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" /&gt;&lt;/P&gt;&lt;P&gt;also i need to change the protocol for 2nd member to FCP...can we change a single member or we will have to change for all, i need to change the protocol for lun testFPSAlun10 to FCP , is it possible to have members of different protocol in same dataset &lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Thu, 11 Aug 2011 12:38:27 GMT</pubDate>
      <guid>https://community.netapp.com/t5/Active-IQ-Unified-Manager-Discussions/dataset-creation-dfm/m-p/14169#M2857</guid>
      <dc:creator>SANJEEVROHILA</dc:creator>
      <dc:date>2011-08-11T12:38:27Z</dc:date>
    </item>
    <item>
      <title>Re: dataset creation dfm</title>
      <link>https://community.netapp.com/t5/Active-IQ-Unified-Manager-Discussions/dataset-creation-dfm/m-p/14173#M2859</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;I dont understand, why are you giving the Storage Array Port WWWPN ?&lt;/P&gt;&lt;P&gt;If you want to access the lun from a server, then you must need to give that server's HBA wwpn.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Currently we are not supporting of changing protocol/export details of already provisioined lun. In future it might be available.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Same dataset can hold iSCSI and FCP luns. But for ths, user should not mention protocol details at dataset level, that means at the time of dataset creation dont mention the protocol details or switch off protocol details by editing the dataset created already. And, at the time of each lun provisioning time, you can mention protocol(iSCSI or FCP) / export (server's HBA wwpn) details of that lun. That way dataset can hold iSCSI and FCP luns.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Regards&lt;/P&gt;&lt;P&gt;Sivaprasad K&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Tue, 16 Aug 2011 07:04:55 GMT</pubDate>
      <guid>https://community.netapp.com/t5/Active-IQ-Unified-Manager-Discussions/dataset-creation-dfm/m-p/14173#M2859</guid>
      <dc:creator>kandati</dc:creator>
      <dc:date>2011-08-16T07:04:55Z</dc:date>
    </item>
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