PreparedStatement and performance..

<html>
<b> Q1: Increases Network calls?? </b><br>
<p> Where there is a table with large number columns , does a bind call to each column from a middle tier makes a network round-trip to the database?? Or does the Oracle JDBC driver cache binds to all columns and send them over in one call?? </p><br>
<br>
<b> Q2: Is the Statement faster then PreparedStatement for such large tables??</b><br>
<p>If the answer to Q1 is yes, Will the recompilation needed by a Statement with values concatenated as literals in the SQL text beat the combined speed of such numerous bind calls ?? </p><br>
<b> Q3. Recompilation of Statement Vs Oracle SQL Cache </b><br>
<p> Are Q1 and Q2 moot ?? I.e If different values are concatenated to the Statement SQL text, does that in itself force Oracle to treat it as a different SQL or Has Oracle become advanced enough to treat literals as bind values and hence reuse a Statement cursor with diff. literal values executed in the past in the Cache?? </p><br>
<br>
<b> Q4. If Q3 is NO: PreparedStatement VS cached Cursor reuse </b><br>
<p> If the anwser to Q3 is NO - i.e Statment is inefficient, then can we conclude that PreparedStatement offers double advantages. i.e. within the same session multiple executions are faster , since we only rebind. Also if the connection is closed and PreparedStatement is also closed , but the if same PreparedStatement is reopened in a new Session within the near future, Oracle will reuse the Cached statement, since the SQL text with place-holders('?' marks) definitely matches it. Whereas a Statememt with new literal values concatenated in is a new Statement for every new execution??</p><br>
<br>
<b> Q5. Is Q4 moot: PreparedStatement Vs mutiple Sessions </b><br>
<p> Does closing and reopening a PreparedStatement force a recompilation of the statement anyways, so considerations of a cached Statement reuse is not a benefit for performance tuning here??</p><br>
Please reply.
</html>

Sorry for the formatting messup:
Q1: Increases Network calls??
Where there is a table with large number columns , does a bind call to each column from a middle tier makes a network round-trip to the database?? Or does the Oracle JDBC driver cache binds to all columns and send them over in one call??
Q2: Is the Statement faster then PreparedStatement for such large tables??
If the answer to Q1 is yes, Will the recompilation needed by a Statement with values concatenated as literals in the SQL text beat the combined speed of such numerous bind calls ??
Q3. Recompilation of Statement Vs Oracle SQL Cache
Are Q1 and Q2 moot ?? I.e If different values are concatenated to the Statement SQL text, does that in itself force Oracle to treat it as a different SQL or Has Oracle become advanced enough to treat literals as bind values and hence reuse a Statement cursor with diff. literal values executed in the past in the Cache??
Q4. If Q3 is NO: PreparedStatement VS cached Cursor reuse
If the anwser to Q3 is NO - i.e Statment is inefficient, then can we conclude that PreparedStatement offers double advantages. i.e. within the same session multiple executions are faster , since we only rebind. Also if the connection is closed and PreparedStatement is also closed , but the if same PreparedStatement is reopened in a new Session within the near future, Oracle will reuse the Cached statement, since the SQL text with place-holders('?' marks) definitely matches it. Whereas a Statememt with new literal values concatenated in is a new Statement for every new execution??
Q5. Is Q4 moot: PreparedStatement Vs mutiple Sessions
Does closing and reopening a PreparedStatement force a recompilation of the statement anyways, so considerations of a cached Statement reuse is not a benefit for performance tuning here??
Please reply.

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    I am a scientist and run my own business.  Money is tight.  I have some very large Excel files (~200MB) that I need to sort and perform logic operations on.  I currently use a MacBookPro (i7 core, 2.6GHz, 16GB 1600 MHz DDR3) and I am thinking about buying a multicore MacPro.  Some of the operations take half an hour to perform.  How much faster should I expect these operations to happen on a new MacPro?  Is there a significant speed advantage in the 6 core vs 4 core?  Practically speaking, what are the features I should look at and what is the speed bump I should expect if I go to 32GB or 64GB?  Related to this I am using a 32 bit version of Excel.  Is there a 64 bit spreadsheet that I can us on a Mac that has no limit on column and row size?

    Grant Bennet-Alder,
    It’s funny you mentioned using Activity Monitor.  I use it all the time to watch when a computation cycle is finished so I can avoid a crash.  I keep it up in the corner of my screen while I respond to email or work on a grant.  Typically the %CPU will hang at ~100% (sometimes even saying the application is not responding in red) but will almost always complete the cycle if I let it go for 30 minutes or so.  As long as I leave Excel alone while it is working it will not crash.  I had not thought of using the Activity Monitor as you suggested. Also I did not realize using a 32 bit application limited me to 4GB of memory for each application.  That is clearly a problem for this kind of work.  Is there any work around for this?   It seems like a 64-bit spreadsheet would help.  I would love to use the new 64 bit Numbers but the current version limits the number of rows and columns.  I tried it out on my MacBook Pro but my files don’t fit.
    The hatter,
    This may be the solution for me. I’m OK with assembling the unit you described (I’ve even etched my own boards) but feel very bad about needing to step away from Apple products.  When I started computing this was the sort of thing computers were designed to do.  Is there any native 64-bit spreadsheet that allows unlimited rows/columns, which will run on an Apple?  Excel is only 64-bit on their machines.
    Many thanks to both of you for your quick and on point answers!

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