I have a very small db of only like 15 files, and with 120 records.
If I do a query from the page, via a php file it seems to take 2-3 seconds
for the results to come up.
I'm anticipating having a lot more records, upwards of 300-800 records.
I'm looking for the best way to create my indexes for fast response times. I
think right now that the performance isn't that slow.
My primate key is presently set to ID which is an autoincremting field with
a length of 6.
I do have queries that call for records that match a state also.
Any suggestions? thanks for your time! 9 1807
EnToone -
basically any column that I would use as part of the record selection
criteria -
i.e. WHERE clauses
JOIN criteria
would be a good column to index on. So map out what you want to do, on
paper, with your select statements and study your where clauses and join
criteria - then index those columns.
let me know how it goes for you .
mondo regards [Bill]
--
William Sanders / Electronic Filing Group Remove the DOT BOB to reply via
email.
FREE LONG DISTANCE -> mailto:ex****** **@efgroup.net
mySql / VFP / MS-SQL
"entoone" <en*****@pacbel l.net> wrote in message
news:BM******** **********@news svr21.news.prod igy.com... I have a very small db of only like 15 files, and with 120 records.
If I do a query from the page, via a php file it seems to take 2-3 seconds for the results to come up. I'm anticipating having a lot more records, upwards of 300-800 records.
I'm looking for the best way to create my indexes for fast response times.
I think right now that the performance isn't that slow.
My primate key is presently set to ID which is an autoincremting field
with a length of 6.
I do have queries that call for records that match a state also.
Any suggestions? thanks for your time!
EnToone -
basically any column that I would use as part of the record selection
criteria -
i.e. WHERE clauses
JOIN criteria
would be a good column to index on. So map out what you want to do, on
paper, with your select statements and study your where clauses and join
criteria - then index those columns.
let me know how it goes for you .
mondo regards [Bill]
--
William Sanders / Electronic Filing Group Remove the DOT BOB to reply via
email.
FREE LONG DISTANCE -> mailto:ex****** **@efgroup.net
mySql / VFP / MS-SQL
"entoone" <en*****@pacbel l.net> wrote in message
news:BM******** **********@news svr21.news.prod igy.com... I have a very small db of only like 15 files, and with 120 records.
If I do a query from the page, via a php file it seems to take 2-3 seconds for the results to come up. I'm anticipating having a lot more records, upwards of 300-800 records.
I'm looking for the best way to create my indexes for fast response times.
I think right now that the performance isn't that slow.
My primate key is presently set to ID which is an autoincremting field
with a length of 6.
I do have queries that call for records that match a state also.
Any suggestions? thanks for your time!
EnToone -
basically any column that I would use as part of the record selection
criteria -
i.e. WHERE clauses
JOIN criteria
would be a good column to index on. So map out what you want to do, on
paper, with your select statements and study your where clauses and join
criteria - then index those columns.
let me know how it goes for you .
mondo regards [Bill]
--
William Sanders / Electronic Filing Group Remove the DOT BOB to reply via
email.
FREE LONG DISTANCE -> mailto:ex****** **@efgroup.net
mySql / VFP / MS-SQL
"entoone" <en*****@pacbel l.net> wrote in message
news:BM******** **********@news svr21.news.prod igy.com... I have a very small db of only like 15 files, and with 120 records.
If I do a query from the page, via a php file it seems to take 2-3 seconds for the results to come up. I'm anticipating having a lot more records, upwards of 300-800 records.
I'm looking for the best way to create my indexes for fast response times.
I think right now that the performance isn't that slow.
My primate key is presently set to ID which is an autoincremting field
with a length of 6.
I do have queries that call for records that match a state also.
Any suggestions? thanks for your time!
Thanks much for the post. I heard ya, and have done that. Thanks!
"swdev1" <ws**********@a dvmed.com> wrote in message
news:Ng******** ********@newssv r24.news.prodig y.com... EnToone - basically any column that I would use as part of the record selection criteria - i.e. WHERE clauses JOIN criteria would be a good column to index on. So map out what you want to do, on paper, with your select statements and study your where clauses and join criteria - then index those columns.
let me know how it goes for you . mondo regards [Bill]
-- William Sanders / Electronic Filing Group Remove the DOT BOB to reply via email. FREE LONG DISTANCE -> mailto:ex****** **@efgroup.net mySql / VFP / MS-SQL "entoone" <en*****@pacbel l.net> wrote in message news:BM******** **********@news svr21.news.prod igy.com... I have a very small db of only like 15 files, and with 120 records.
If I do a query from the page, via a php file it seems to take 2-3
seconds for the results to come up. I'm anticipating having a lot more records, upwards of 300-800 records.
I'm looking for the best way to create my indexes for fast response
times. I think right now that the performance isn't that slow.
My primate key is presently set to ID which is an autoincremting field with a length of 6.
I do have queries that call for records that match a state also.
Any suggestions? thanks for your time!
Thanks much for the post. I heard ya, and have done that. Thanks!
"swdev1" <ws**********@a dvmed.com> wrote in message
news:Ng******** ********@newssv r24.news.prodig y.com... EnToone - basically any column that I would use as part of the record selection criteria - i.e. WHERE clauses JOIN criteria would be a good column to index on. So map out what you want to do, on paper, with your select statements and study your where clauses and join criteria - then index those columns.
let me know how it goes for you . mondo regards [Bill]
-- William Sanders / Electronic Filing Group Remove the DOT BOB to reply via email. FREE LONG DISTANCE -> mailto:ex****** **@efgroup.net mySql / VFP / MS-SQL "entoone" <en*****@pacbel l.net> wrote in message news:BM******** **********@news svr21.news.prod igy.com... I have a very small db of only like 15 files, and with 120 records.
If I do a query from the page, via a php file it seems to take 2-3
seconds for the results to come up. I'm anticipating having a lot more records, upwards of 300-800 records.
I'm looking for the best way to create my indexes for fast response
times. I think right now that the performance isn't that slow.
My primate key is presently set to ID which is an autoincremting field with a length of 6.
I do have queries that call for records that match a state also.
Any suggestions? thanks for your time!
Thanks much for the post. I heard ya, and have done that. Thanks!
"swdev1" <ws**********@a dvmed.com> wrote in message
news:Ng******** ********@newssv r24.news.prodig y.com... EnToone - basically any column that I would use as part of the record selection criteria - i.e. WHERE clauses JOIN criteria would be a good column to index on. So map out what you want to do, on paper, with your select statements and study your where clauses and join criteria - then index those columns.
let me know how it goes for you . mondo regards [Bill]
-- William Sanders / Electronic Filing Group Remove the DOT BOB to reply via email. FREE LONG DISTANCE -> mailto:ex****** **@efgroup.net mySql / VFP / MS-SQL "entoone" <en*****@pacbel l.net> wrote in message news:BM******** **********@news svr21.news.prod igy.com... I have a very small db of only like 15 files, and with 120 records.
If I do a query from the page, via a php file it seems to take 2-3
seconds for the results to come up. I'm anticipating having a lot more records, upwards of 300-800 records.
I'm looking for the best way to create my indexes for fast response
times. I think right now that the performance isn't that slow.
My primate key is presently set to ID which is an autoincremting field with a length of 6.
I do have queries that call for records that match a state also.
Any suggestions? thanks for your time!
EnToonE -
great - did you see any performance change ???
lemme know [though its hard for 200 records to time it accurately]
mondo regards [Bill]
--
William Sanders / Electronic Filing Group Remove the DOT BOB to reply via
email.
FREE LONG DISTANCE -> mailto:ex****** **@efgroup.net
mySql / VFP / MS-SQL
"entoone" <en*****@pacbel l.net> wrote in message
news:m1******** **************@ newssvr13.news. prodigy.com... Thanks much for the post. I heard ya, and have done that. Thanks!
"swdev1" <ws**********@a dvmed.com> wrote in message news:Ng******** ********@newssv r24.news.prodig y.com... EnToone - basically any column that I would use as part of the record selection criteria - i.e. WHERE clauses JOIN criteria would be a good column to index on. So map out what you want to do, on paper, with your select statements and study your where clauses and join criteria - then index those columns.
let me know how it goes for you . mondo regards [Bill]
-- William Sanders / Electronic Filing Group Remove the DOT BOB to reply
via email. FREE LONG DISTANCE -> mailto:ex****** **@efgroup.net mySql / VFP / MS-SQL "entoone" <en*****@pacbel l.net> wrote in message news:BM******** **********@news svr21.news.prod igy.com... I have a very small db of only like 15 files, and with 120 records.
If I do a query from the page, via a php file it seems to take 2-3 seconds for the results to come up. I'm anticipating having a lot more records, upwards of 300-800
records. I'm looking for the best way to create my indexes for fast response
times. I think right now that the performance isn't that slow.
My primate key is presently set to ID which is an autoincremting field with a length of 6.
I do have queries that call for records that match a state also.
Any suggestions? thanks for your time!
EnToonE -
great - did you see any performance change ???
lemme know [though its hard for 200 records to time it accurately]
mondo regards [Bill]
--
William Sanders / Electronic Filing Group Remove the DOT BOB to reply via
email.
FREE LONG DISTANCE -> mailto:ex****** **@efgroup.net
mySql / VFP / MS-SQL
"entoone" <en*****@pacbel l.net> wrote in message
news:m1******** **************@ newssvr13.news. prodigy.com... Thanks much for the post. I heard ya, and have done that. Thanks!
"swdev1" <ws**********@a dvmed.com> wrote in message news:Ng******** ********@newssv r24.news.prodig y.com... EnToone - basically any column that I would use as part of the record selection criteria - i.e. WHERE clauses JOIN criteria would be a good column to index on. So map out what you want to do, on paper, with your select statements and study your where clauses and join criteria - then index those columns.
let me know how it goes for you . mondo regards [Bill]
-- William Sanders / Electronic Filing Group Remove the DOT BOB to reply
via email. FREE LONG DISTANCE -> mailto:ex****** **@efgroup.net mySql / VFP / MS-SQL "entoone" <en*****@pacbel l.net> wrote in message news:BM******** **********@news svr21.news.prod igy.com... I have a very small db of only like 15 files, and with 120 records.
If I do a query from the page, via a php file it seems to take 2-3 seconds for the results to come up. I'm anticipating having a lot more records, upwards of 300-800
records. I'm looking for the best way to create my indexes for fast response
times. I think right now that the performance isn't that slow.
My primate key is presently set to ID which is an autoincremting field with a length of 6.
I do have queries that call for records that match a state also.
Any suggestions? thanks for your time!
EnToonE -
great - did you see any performance change ???
lemme know [though its hard for 200 records to time it accurately]
mondo regards [Bill]
--
William Sanders / Electronic Filing Group Remove the DOT BOB to reply via
email.
FREE LONG DISTANCE -> mailto:ex****** **@efgroup.net
mySql / VFP / MS-SQL
"entoone" <en*****@pacbel l.net> wrote in message
news:m1******** **************@ newssvr13.news. prodigy.com... Thanks much for the post. I heard ya, and have done that. Thanks!
"swdev1" <ws**********@a dvmed.com> wrote in message news:Ng******** ********@newssv r24.news.prodig y.com... EnToone - basically any column that I would use as part of the record selection criteria - i.e. WHERE clauses JOIN criteria would be a good column to index on. So map out what you want to do, on paper, with your select statements and study your where clauses and join criteria - then index those columns.
let me know how it goes for you . mondo regards [Bill]
-- William Sanders / Electronic Filing Group Remove the DOT BOB to reply
via email. FREE LONG DISTANCE -> mailto:ex****** **@efgroup.net mySql / VFP / MS-SQL "entoone" <en*****@pacbel l.net> wrote in message news:BM******** **********@news svr21.news.prod igy.com... I have a very small db of only like 15 files, and with 120 records.
If I do a query from the page, via a php file it seems to take 2-3 seconds for the results to come up. I'm anticipating having a lot more records, upwards of 300-800
records. I'm looking for the best way to create my indexes for fast response
times. I think right now that the performance isn't that slow.
My primate key is presently set to ID which is an autoincremting field with a length of 6.
I do have queries that call for records that match a state also.
Any suggestions? thanks for your time!
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