Yosemite and iCloud Drive Performance Issue

While on my home network that is connected to the Internet over FiOS 50 G bps, I upgraded my Mac Book Pro Retina from Mavericks to Yosemite. The upgrade went smoothly.
I first noticed that when I boot my Mac Book, it boots slower like Windows...
When I took it into my office and used a slow WiFi hot spot, the system crawled. Safari, Google, and other apps barely responded.
During the upgrade, I "blindly" selected to use the iCloud Drive. Foolish me! I tried to turn it off, but then it warned me it would delete all documents on my Mac that are also stored on the iCloud.
How do I turn iCloud drive completely off when I don't want to use it and KEEP all my local files??? Later, I'd like to turn it back on when I'm on my faster network and THEN sync everything.
Also, I started turning off specific Apps and rebooted. Performance has improved.
Regards,
Nick

But Is there an option to retain copies of the files that have been stored on iCloud? I don't want to delete them. Later, when I connect back to iCloud drive, if I have made any changes on any of these files on my Mac and they are newer than the version up on iCloud drive, it will automatically "sync up".....
Thanks again,
Nick

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hi there,
try booting into safe mode, by pressing the Shift button once you hear the startup sound.
Hope this helps,
Chris

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I cannot get my contacts running on MacAir/MACOS Yosemite synchronized with iCloud nor with my iphone.
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But Is there an option to retain copies of the files that have been stored on iCloud? I don't want to delete them. Later, when I connect back to iCloud drive, if I have made any changes on any of these files on my Mac and they are newer than the version up on iCloud drive, it will automatically "sync up".....
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hi there, the solution to your problem is, i guess, to think that your videos have been moved from iCloud to iCloud Drive, as soon as you updated your iPhone to iCloud Drive. Because of this, your videos are temporarily not accessible from your computer, neither from your Apple TV.
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Hi :)
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When I get that error I also didn't get the network drive hosted on that server set via Group Policy, it fails with this error:
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The client is Windows Server 2012 Remote Desktop and file server is 2012 too. On a VMware host.
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Hi,
Based on your description, you could access shares on DC via
\\dc01\share. But you couldn’t access shares via \\dc01.
Please check the
Network Path in the Properties of the shared folders at first. If the network path is
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\\dc01\share.
And when you configure
Drive Maps via domain group policy, you should also type the Network Path of the shared folders in the
Location edit.
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File validation can slow down the opening of files.
This problem caused by the issue mentioned above.
Here are a similar thread about slow opening office files from network share
http://answers.microsoft.com/en-us/office/forum/office_2010-word/office-2010-slow-opening-files-from-network-share/d69e8942-b773-4aea-a6fc-8577def6b06a
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Office 2010 File Validation
http://blogs.technet.com/b/office2010/archive/2009/12/16/office-2010-file-validation.aspx
Best Regards,
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But Is there an option to retain copies of the files that have been stored on iCloud? I don't want to delete them. Later, when I connect back to iCloud drive, if I have made any changes on any of these files on my Mac and they are newer than the version up on iCloud drive, it will automatically "sync up".....
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QUERY PERFORMANCE AND DATA LOADING PERFORMANCE ISSUES

WHAT ARE QUERY PERFORMANCE ISSUES WE NEED TO TAKE CARE PLEASE EXPLAIN AND LET ME KNOW T CODES...PLZ URGENT
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WILL REWARD FULL POINT S
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Some Tips -
1)Identify long-running extraction processes on the source system. Extraction processes are performed by several extraction jobs running on the source system. The run-time of these jobs affects the performance. Use transaction code SM37 Background Processing Job Management to analyze the run-times of these jobs. If the run-time of data collection jobs lasts for several hours, schedule these jobs to run more frequently. This way, less data is written into update tables for each run and extraction performance increases.
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3)Identify expensive SQL statements. If database run-time is high for extraction jobs, use transaction code ST05 Performance Trace. On this screen, select ALEREMOTE user and then select SQL trace to record the SQL statements. Identify the time-consuming sections from the results. If the data-selection times are high on a particular SQL statement, index the DataSource tables to increase the performance of selection (see no. 6 below). While using ST05, make sure that no other extraction job is running with ALEREMOTE user.
4)Balance loads by distributing processes onto different servers if possible. If your site uses more than one BW application server, distribute the extraction processes to different servers using transaction code SM59 Maintain RFC Destination. Load balancing is possible only if the extraction program allows the option
5)Set optimum parameters for data-packet size. Packet size affects the number of data requests to the database. Set the data-packet size to optimum values for an efficient data-extraction mechanism. To find the optimum value, start with a packet size in the range of 50,000 to 100,000 and gradually increase it. At some point, you will reach the threshold at which increasing packet size further does not provide any performance increase. To set the packet size, use transaction code SBIW BW IMG Menu on the source system. To set the data load parameters for flat-file uploads, use transaction code RSCUSTV6 in BW.
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7)Execute collection jobs in parallel. Like the Business Content extractors, generic extractors have a number of collection jobs to retrieve relevant data from DataSource tables. Scheduling these collection jobs to run in parallel reduces the total extraction time, and they can be scheduled via transaction code SM37 in the source system.
8). Break up your data selections for InfoPackages and schedule the portions to run in parallel. This parallel upload mechanism sends different portions of the data to BW at the same time, and as a result the total upload time is reduced. You can schedule InfoPackages in the Administrator Workbench.
You can upload data from a data target (InfoCube and ODS) to another data target within the BW system. While uploading, you can schedule more than one InfoPackage with different selection options in each one. For example, fiscal year or fiscal year period can be used as selection options. Avoid using parallel uploads for high volumes of data if hardware resources are constrained. Each InfoPacket uses one background process (if scheduled to run in the background) or dialog process (if scheduled to run online) of the application server, and too many processes could overwhelm a slow server.
9). Building secondary indexes on the tables for the selection fields optimizes these tables for reading, reducing extraction time. If your selection fields are not key fields on the table, primary indexes are not much of a help when accessing data. In this case it is better to create secondary indexes with selection fields on the associated table using ABAP Dictionary to improve better selection performance.
10)Analyze upload times to the PSA and identify long-running uploads. When you extract the data using PSA method, data is written into PSA tables in the BW system. If your data is on the order of tens of millions, consider partitioning these PSA tables for better performance, but pay attention to the partition sizes. Partitioning PSA tables improves data-load performance because it's faster to insert data into smaller database tables. Partitioning also provides increased performance for maintenance of PSA tables for example, you can delete a portion of data faster. You can set the size of each partition in the PSA parameters screen, in transaction code SPRO or RSCUSTV6, so that BW creates a new partition automatically when a threshold value is reached.
11)Debug any routines in the transfer and update rules and eliminate single selects from the routines. Using single selects in custom ABAP routines for selecting data from database tables reduces performance considerably. It is better to use buffers and array operations. When you use buffers or array operations, the system reads data from the database tables and stores it in the memory for manipulation, improving performance. If you do not use buffers or array operations, the whole reading process is performed on the database with many table accesses, and performance deteriorates. Also, extensive use of library transformations in the ABAP code reduces performance; since these transformations are not compiled in advance, they are carried out during run-time.
12)Before uploading a high volume of transaction data into InfoCubes, activate the number-range buffer for dimension IDs. The number-range buffer is a parameter that identifies the number of sequential dimension IDs stored in the memory. If you increase the number range before high-volume data upload, you reduce the number of reads from the dimension tables and hence increase the upload performance. Do not forget to set the number-range values back to their original values after the upload. Use transaction code SNRO to maintain the number range buffer values for InfoCubes.
13)Drop the indexes before uploading high-volume data into InfoCubes. Regenerate them after the upload. Indexes on InfoCubes are optimized for reading data from the InfoCubes. If the indexes exist during the upload, BW reads the indexes and tries to insert the records according to the indexes, resulting in poor upload performance. You can automate the dropping and regeneration of the indexes through InfoPackage scheduling. You can drop indexes in the Manage InfoCube screen in the Administrator Workbench.
14)IDoc (intermediate document) archiving improves the extraction and loading performance and can be applied on both BW and R/3 systems. In addition to IDoc archiving, data archiving is available for InfoCubes and ODS objects.
Hope it Helps
Chetan
@CP..

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Hi FZ72,
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Hi folks
I have to admit we are stuck in our development: We have written a Phothoshop Plugin unsing extensive JavaScript and Flash Panels / Action Script.
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Would it be faster to address the specific layers by their native Layer ID's rather than their names?
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Hi, since nobody bothers to answer we might have to find out ourselfs.
Maybe it is caused by the way we address layers throug the script?
Which method are you using?
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Message was edited by: Atlink

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Yosemite and iCloud Drive Performance Issue

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