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* How to know transaction count in hour basic
@ 2019-10-30 14:13 mallikarjun t <mallit333@gmail.com>
2019-10-30 14:50 ` Re: How to know transaction count in hour basic Alex Balashov <abalashov@evaristesys.com>
2019-10-30 15:29 ` Re: How to know transaction count in hour basic Rui DeSousa <rui@crazybean.net>
0 siblings, 2 replies; 9+ messages in thread
From: mallikarjun t @ 2019-10-30 14:13 UTC (permalink / raw)
To: pgsql-admin
Dear Team,
How to check, how many transactions are committed in one hour?
In database level pg_stat_database xact_commit column is there,this is
giving only count.
How to get count for hour basis and minutes and seconds basis, how many
transactions are committed?
*How to check?*
*Regards,*
*Mallikarjunarao,*
*+91-8142923383.*
^ permalink raw reply [nested|flat] 9+ messages in thread
* Re: How to know transaction count in hour basic
2019-10-30 14:13 How to know transaction count in hour basic mallikarjun t <mallit333@gmail.com>
@ 2019-10-30 14:50 ` Alex Balashov <abalashov@evaristesys.com>
2019-10-30 15:00 ` Re: How to know transaction count in hour basic mallikarjun t <mallit333@gmail.com>
1 sibling, 1 reply; 9+ messages in thread
From: Alex Balashov @ 2019-10-30 14:50 UTC (permalink / raw)
To: mallikarjun t <mallit333@gmail.com>; +Cc: pgsql-admin
You would just have to accumulate these values in a time-series gauge, right?
—
Sent from mobile, with due apologies for brevity and errors.
> On Oct 30, 2019, at 10:13 AM, mallikarjun t <mallit333@gmail.com> wrote:
>
>
> Dear Team,
>
> How to check, how many transactions are committed in one hour?
>
> In database level pg_stat_database xact_commit column is there,this is giving only count.
>
> How to get count for hour basis and minutes and seconds basis, how many transactions are committed?
>
> How to check?
>
> Regards,
> Mallikarjunarao,
> +91-8142923383.
^ permalink raw reply [nested|flat] 9+ messages in thread
* Re: How to know transaction count in hour basic
2019-10-30 14:13 How to know transaction count in hour basic mallikarjun t <mallit333@gmail.com>
2019-10-30 14:50 ` Re: How to know transaction count in hour basic Alex Balashov <abalashov@evaristesys.com>
@ 2019-10-30 15:00 ` mallikarjun t <mallit333@gmail.com>
2019-10-30 15:01 ` Re: How to know transaction count in hour basic Alex Balashov <abalashov@evaristesys.com>
0 siblings, 1 reply; 9+ messages in thread
From: mallikarjun t @ 2019-10-30 15:00 UTC (permalink / raw)
To: Alex Balashov <abalashov@evaristesys.com>; +Cc: pgsql-admin
Dear Team,
I can't understand how to accumulate time series gauge?
Kindly explain.
Regards,
Mallikarjunarao,
+91-8142923383.
On Wed, Oct 30, 2019 at 8:20 PM Alex Balashov <abalashov@evaristesys.com>
wrote:
> You would just have to accumulate these values in a time-series gauge,
> right?
>
> —
> Sent from mobile, with due apologies for brevity and errors.
>
> On Oct 30, 2019, at 10:13 AM, mallikarjun t <mallit333@gmail.com> wrote:
>
>
> Dear Team,
>
> How to check, how many transactions are committed in one hour?
>
> In database level pg_stat_database xact_commit column is there,this is
> giving only count.
>
> How to get count for hour basis and minutes and seconds basis, how many
> transactions are committed?
>
> *How to check?*
>
> *Regards,*
> *Mallikarjunarao,*
>
> *+91-8142923383.*
>
>
^ permalink raw reply [nested|flat] 9+ messages in thread
* Re: How to know transaction count in hour basic
2019-10-30 14:13 How to know transaction count in hour basic mallikarjun t <mallit333@gmail.com>
2019-10-30 14:50 ` Re: How to know transaction count in hour basic Alex Balashov <abalashov@evaristesys.com>
2019-10-30 15:00 ` Re: How to know transaction count in hour basic mallikarjun t <mallit333@gmail.com>
@ 2019-10-30 15:01 ` Alex Balashov <abalashov@evaristesys.com>
2019-10-30 15:10 ` Re: How to know transaction count in hour basic mallikarjun t <mallit333@gmail.com>
0 siblings, 1 reply; 9+ messages in thread
From: Alex Balashov @ 2019-10-30 15:01 UTC (permalink / raw)
To: mallikarjun t <mallit333@gmail.com>; +Cc: pgsql-admin
It’s not really a concept one can explain. It’s just a mathematical operation to determine a rate of change over time.
—
Sent from mobile, with due apologies for brevity and errors.
> On Oct 30, 2019, at 11:00 AM, mallikarjun t <mallit333@gmail.com> wrote:
>
>
> Dear Team,
>
> I can't understand how to accumulate time series gauge?
>
> Kindly explain.
>
> Regards,
> Mallikarjunarao,
> +91-8142923383.
>
>> On Wed, Oct 30, 2019 at 8:20 PM Alex Balashov <abalashov@evaristesys.com> wrote:
>> You would just have to accumulate these values in a time-series gauge, right?
>>
>> —
>> Sent from mobile, with due apologies for brevity and errors.
>>
>>>> On Oct 30, 2019, at 10:13 AM, mallikarjun t <mallit333@gmail.com> wrote:
>>>>
>>>
>>> Dear Team,
>>>
>>> How to check, how many transactions are committed in one hour?
>>>
>>> In database level pg_stat_database xact_commit column is there,this is giving only count.
>>>
>>> How to get count for hour basis and minutes and seconds basis, how many transactions are committed?
>>>
>>> How to check?
>>>
>>> Regards,
>>> Mallikarjunarao,
>>> +91-8142923383.
^ permalink raw reply [nested|flat] 9+ messages in thread
* Re: How to know transaction count in hour basic
2019-10-30 14:13 How to know transaction count in hour basic mallikarjun t <mallit333@gmail.com>
2019-10-30 14:50 ` Re: How to know transaction count in hour basic Alex Balashov <abalashov@evaristesys.com>
2019-10-30 15:00 ` Re: How to know transaction count in hour basic mallikarjun t <mallit333@gmail.com>
2019-10-30 15:01 ` Re: How to know transaction count in hour basic Alex Balashov <abalashov@evaristesys.com>
@ 2019-10-30 15:10 ` mallikarjun t <mallit333@gmail.com>
0 siblings, 0 replies; 9+ messages in thread
From: mallikarjun t @ 2019-10-30 15:10 UTC (permalink / raw)
To: Alex Balashov <abalashov@evaristesys.com>; +Cc: pgsql-admin
Dear Team,
Begin;
select version();
commit;
This is one transaction committed. In this one query type is select query,
I want how many update and insert and delete queries are committed in one
hour?
That's the concept I want. Kindly help me?
Regards,
Mallikarjunarao,
+91-8142923383.
On Wed, Oct 30, 2019 at 8:31 PM Alex Balashov <abalashov@evaristesys.com>
wrote:
> It’s not really a concept one can explain. It’s just a mathematical
> operation to determine a rate of change over time.
>
> —
> Sent from mobile, with due apologies for brevity and errors.
>
> On Oct 30, 2019, at 11:00 AM, mallikarjun t <mallit333@gmail.com> wrote:
>
>
> Dear Team,
>
> I can't understand how to accumulate time series gauge?
>
> Kindly explain.
>
> Regards,
> Mallikarjunarao,
> +91-8142923383.
>
> On Wed, Oct 30, 2019 at 8:20 PM Alex Balashov <abalashov@evaristesys.com>
> wrote:
>
>> You would just have to accumulate these values in a time-series gauge,
>> right?
>>
>> —
>> Sent from mobile, with due apologies for brevity and errors.
>>
>> On Oct 30, 2019, at 10:13 AM, mallikarjun t <mallit333@gmail.com> wrote:
>>
>>
>> Dear Team,
>>
>> How to check, how many transactions are committed in one hour?
>>
>> In database level pg_stat_database xact_commit column is there,this is
>> giving only count.
>>
>> How to get count for hour basis and minutes and seconds basis, how many
>> transactions are committed?
>>
>> *How to check?*
>>
>> *Regards,*
>> *Mallikarjunarao,*
>>
>> *+91-8142923383.*
>>
>>
^ permalink raw reply [nested|flat] 9+ messages in thread
* Re: How to know transaction count in hour basic
2019-10-30 14:13 How to know transaction count in hour basic mallikarjun t <mallit333@gmail.com>
@ 2019-10-30 15:29 ` Rui DeSousa <rui@crazybean.net>
2019-10-31 11:34 ` Re: How to know transaction count in hour basic mallikarjun t <mallit333@gmail.com>
1 sibling, 1 reply; 9+ messages in thread
From: Rui DeSousa @ 2019-10-30 15:29 UTC (permalink / raw)
To: mallikarjun t <mallit333@gmail.com>; +Cc: pgsql-admin
You need to capture the value at the starting and ending period that you’re interested in and then calculate the delta.
I export all the stats tables out every minute and put them into history table on a different system — then query any period of interest. Sorta like Oracle’s stats pack.
There are also monitoring tools that do this all for you already.
i.e. This is the function I would use to get the information you’re looking for:
/*
Query Example:
select period_start
, period_end
, to_char(xact_commit + xact_rollback, numeric_format(10, 0)) as tran_cnt
, to_char(txid_cnt, numeric_format(10, 0)) as txid_cnt
, pg_size_pretty((blks_read + blks_hit) * 16 * 1024) as buf_read
, pg_size_pretty(blks_read * 16 * 1024) as fs_read
, to_char(blks_hit::numeric / (blks_read + blks_hit) * 100, '999D9999%') as buf_pct
, to_char(temp_files, numeric_format(15, 0)) as temp_files
, pg_size_pretty(temp_bytes) as tmp_tbl
, to_char(tup_returned, numeric_format(15, 0)) as tup_returned
, to_char(tup_inserted, numeric_format(15, 0)) as tup_inserted
, to_char(tup_updated, numeric_format(15, 0)) as tup_updated
, to_char(tup_deleted, numeric_format(15, 0)) as tup_deleted
from get_database_stat(‘dynamo', '2018-06-26'::date, '2018-06-30'::date, 60)
;
*/
create or replace function get_database_stat(_database name, _start_time timestamp(0) with time zone, _end_time timestamp(0) with time zone, _interval int default 1)
returns table (
period_start timestamp(0) with time zone,
period_end timestamp(0) with time zone,
xact_commit bigint,
xact_rollback bigint,
txid_cnt bigint,
blks_read bigint,
blks_hit bigint,
tup_returned bigint,
tup_fetched bigint,
tup_inserted bigint,
tup_updated bigint,
tup_deleted bigint,
conflicts bigint,
temp_files bigint,
temp_bytes bigint,
deadlocks bigint,
blk_read_time double precision,
blk_write_time double precision
) as $$
declare
_offset_factor int;
begin
_offset_factor := (_interval * 60) - ((extract(epoch from date_trunc('minutes', _start_time)))::int % (_interval * 60));
return query
select lag(s.hist_stat_time) over (partition by s.datname, s.stats_reset order by s.hist_stat_time) as period_start
, s.hist_stat_time as period_end
, (s.xact_commit - lag(s.xact_commit) over (partition by s.datname, s.stats_reset order by s.hist_stat_time)) as xact_commit
, (s.xact_rollback - lag(s.xact_rollback) over (partition by s.datname, s.stats_reset order by s.hist_stat_time)) as xact_rollback
, s.xact_txid - lag(s.xact_txid) over (partition by s.datname, s.stats_reset order by s.hist_stat_time) as txid_cnt
, (s.blks_read - lag(s.blks_read) over (partition by s.datname, s.stats_reset order by s.hist_stat_time)) as blks_read
, (s.blks_hit - lag(s.blks_hit) over (partition by s.datname, s.stats_reset order by s.hist_stat_time)) as blks_hit
, (s.tup_returned - lag(s.tup_returned) over (partition by s.datname, s.stats_reset order by s.hist_stat_time)) as tup_returned
, (s.tup_fetched - lag(s.tup_fetched) over (partition by s.datname, s.stats_reset order by s.hist_stat_time)) as tup_fetched
, (s.tup_inserted - lag(s.tup_inserted) over (partition by s.datname, s.stats_reset order by s.hist_stat_time)) as tup_inserted
, (s.tup_updated - lag(s.tup_updated) over (partition by s.datname, s.stats_reset order by s.hist_stat_time)) as tup_updated
, (s.tup_deleted - lag(s.tup_deleted) over (partition by s.datname, s.stats_reset order by s.hist_stat_time)) as tup_deleted
, (s.conflicts - lag(s.conflicts) over (partition by s.datname, s.stats_reset order by s.hist_stat_time)) as conflicts
, (s.temp_files - lag(s.temp_files) over (partition by s.datname, s.stats_reset order by s.hist_stat_time)) as temp_files
, (s.temp_bytes - lag(s.temp_bytes) over (partition by s.datname, s.stats_reset order by s.hist_stat_time)) as temp_bytes
, (s.deadlocks - lag(s.deadlocks) over (partition by s.datname, s.stats_reset order by s.hist_stat_time)) as deadlocks
, (s.blk_read_time - lag(s.blk_read_time) over (partition by s.datname, s.stats_reset order by s.hist_stat_time)) as blk_read_time
, (s.blk_write_time - lag(s.blk_write_time) over (partition by s.datname, s.stats_reset order by s.hist_stat_time)) as blk_write_time
from hist_stat_database s
where s.datname = _database
and s.hist_stat_time >= _start_time
and s.hist_stat_time <= _end_time
and ((extract(epoch from date_trunc('minutes', s.hist_stat_time)))::int + _offset_factor) % (_interval * 60) = 0
order by s.hist_stat_time
offset 1
;
end;
$$ language plpgsql
stable
;
> On Oct 30, 2019, at 10:13 AM, mallikarjun t <mallit333@gmail.com> wrote:
>
> Dear Team,
>
> How to check, how many transactions are committed in one hour?
>
> In database level pg_stat_database xact_commit column is there,this is giving only count.
>
> How to get count for hour basis and minutes and seconds basis, how many transactions are committed?
>
> How to check?
>
> Regards,
> Mallikarjunarao,
> +91-8142923383.
^ permalink raw reply [nested|flat] 9+ messages in thread
* Re: How to know transaction count in hour basic
2019-10-30 14:13 How to know transaction count in hour basic mallikarjun t <mallit333@gmail.com>
2019-10-30 15:29 ` Re: How to know transaction count in hour basic Rui DeSousa <rui@crazybean.net>
@ 2019-10-31 11:34 ` mallikarjun t <mallit333@gmail.com>
2019-10-31 14:05 ` Re: How to know transaction count in hour basic mallikarjun t <mallit333@gmail.com>
0 siblings, 1 reply; 9+ messages in thread
From: mallikarjun t @ 2019-10-31 11:34 UTC (permalink / raw)
To: Rui DeSousa <rui@crazybean.net>; +Cc: pgsql-admin
Dear Team,
Thanks for your support. I will check.
Regards,
Mallikarjunarao,
+91-8142923383.
On Wed, Oct 30, 2019 at 8:59 PM Rui DeSousa <rui@crazybean.net> wrote:
> You need to capture the value at the starting and ending period that
> you’re interested in and then calculate the delta.
>
>
> I export all the stats tables out every minute and put them into history
> table on a different system — then query any period of interest. Sorta
> like Oracle’s stats pack.
>
> There are also monitoring tools that do this all for you already.
>
> i.e. This is the function I would use to get the information you’re
> looking for:
>
> /*
> Query Example:
>
> select period_start
> , period_end
> , to_char(xact_commit + xact_rollback, numeric_format(10, 0)) as tran_cnt
> , to_char(txid_cnt, numeric_format(10, 0)) as txid_cnt
> , pg_size_pretty((blks_read + blks_hit) * 16 * 1024) as buf_read
> , pg_size_pretty(blks_read * 16 * 1024) as fs_read
> , to_char(blks_hit::numeric / (blks_read + blks_hit) * 100, '999D9999%')
> as buf_pct
> , to_char(temp_files, numeric_format(15, 0)) as temp_files
> , pg_size_pretty(temp_bytes) as tmp_tbl
> , to_char(tup_returned, numeric_format(15, 0)) as tup_returned
> , to_char(tup_inserted, numeric_format(15, 0)) as tup_inserted
> , to_char(tup_updated, numeric_format(15, 0)) as tup_updated
> , to_char(tup_deleted, numeric_format(15, 0)) as tup_deleted
> from get_database_stat(‘dynamo', '2018-06-26'::date, '2018-06-30'::date,
> 60)
> ;
>
> */
>
> create or replace function get_database_stat(_database name, _start_time
> timestamp(0) with time zone, _end_time timestamp(0) with time zone,
> _interval int default 1)
> returns table (
> period_start timestamp(0) with time zone,
> period_end timestamp(0) with time zone,
> xact_commit bigint,
> xact_rollback bigint,
> txid_cnt bigint,
> blks_read bigint,
> blks_hit bigint,
> tup_returned bigint,
> tup_fetched bigint,
> tup_inserted bigint,
> tup_updated bigint,
> tup_deleted bigint,
> conflicts bigint,
> temp_files bigint,
> temp_bytes bigint,
> deadlocks bigint,
> blk_read_time double precision,
> blk_write_time double precision
> ) as $$
> declare
> _offset_factor int;
> begin
> _offset_factor := (_interval * 60) - ((extract(epoch from
> date_trunc('minutes', _start_time)))::int % (_interval * 60));
>
> return query
> select lag(s.hist_stat_time) over (partition by s.datname,
> s.stats_reset order by s.hist_stat_time) as period_start
> , s.hist_stat_time as period_end
> , (s.xact_commit - lag(s.xact_commit) over (partition by s.datname,
> s.stats_reset order by s.hist_stat_time)) as xact_commit
> , (s.xact_rollback - lag(s.xact_rollback) over (partition by
> s.datname, s.stats_reset order by s.hist_stat_time)) as xact_rollback
> , s.xact_txid - lag(s.xact_txid) over (partition by s.datname,
> s.stats_reset order by s.hist_stat_time) as txid_cnt
> , (s.blks_read - lag(s.blks_read) over (partition by s.datname,
> s.stats_reset order by s.hist_stat_time)) as blks_read
> , (s.blks_hit - lag(s.blks_hit) over (partition by s.datname,
> s.stats_reset order by s.hist_stat_time)) as blks_hit
> , (s.tup_returned - lag(s.tup_returned) over (partition by
> s.datname, s.stats_reset order by s.hist_stat_time)) as tup_returned
> , (s.tup_fetched - lag(s.tup_fetched) over (partition by s.datname,
> s.stats_reset order by s.hist_stat_time)) as tup_fetched
> , (s.tup_inserted - lag(s.tup_inserted) over (partition by
> s.datname, s.stats_reset order by s.hist_stat_time)) as tup_inserted
> , (s.tup_updated - lag(s.tup_updated) over (partition by s.datname,
> s.stats_reset order by s.hist_stat_time)) as tup_updated
> , (s.tup_deleted - lag(s.tup_deleted) over (partition by s.datname,
> s.stats_reset order by s.hist_stat_time)) as tup_deleted
> , (s.conflicts - lag(s.conflicts) over (partition by s.datname,
> s.stats_reset order by s.hist_stat_time)) as conflicts
> , (s.temp_files - lag(s.temp_files) over (partition by s.datname,
> s.stats_reset order by s.hist_stat_time)) as temp_files
> , (s.temp_bytes - lag(s.temp_bytes) over (partition by s.datname,
> s.stats_reset order by s.hist_stat_time)) as temp_bytes
> , (s.deadlocks - lag(s.deadlocks) over (partition by s.datname,
> s.stats_reset order by s.hist_stat_time)) as deadlocks
> , (s.blk_read_time - lag(s.blk_read_time) over (partition by
> s.datname, s.stats_reset order by s.hist_stat_time)) as blk_read_time
> , (s.blk_write_time - lag(s.blk_write_time) over (partition by
> s.datname, s.stats_reset order by s.hist_stat_time)) as blk_write_time
> from hist_stat_database s
> where s.datname = _database
> and s.hist_stat_time >= _start_time
> and s.hist_stat_time <= _end_time
> and ((extract(epoch from date_trunc('minutes',
> s.hist_stat_time)))::int + _offset_factor) % (_interval * 60) = 0
> order by s.hist_stat_time
> offset 1
> ;
> end;
> $$ language plpgsql
> stable
> ;
>
>
>
> On Oct 30, 2019, at 10:13 AM, mallikarjun t <mallit333@gmail.com> wrote:
>
> Dear Team,
>
> How to check, how many transactions are committed in one hour?
>
> In database level pg_stat_database xact_commit column is there,this is
> giving only count.
>
> How to get count for hour basis and minutes and seconds basis, how many
> transactions are committed?
>
> *How to check?*
>
> *Regards,*
> *Mallikarjunarao,*
>
> *+91-8142923383.*
>
>
>
^ permalink raw reply [nested|flat] 9+ messages in thread
* Re: How to know transaction count in hour basic
2019-10-30 14:13 How to know transaction count in hour basic mallikarjun t <mallit333@gmail.com>
2019-10-30 15:29 ` Re: How to know transaction count in hour basic Rui DeSousa <rui@crazybean.net>
2019-10-31 11:34 ` Re: How to know transaction count in hour basic mallikarjun t <mallit333@gmail.com>
@ 2019-10-31 14:05 ` mallikarjun t <mallit333@gmail.com>
2019-10-31 14:15 ` Re: How to know transaction count in hour basic Rui DeSousa <rui@crazybean.net>
0 siblings, 1 reply; 9+ messages in thread
From: mallikarjun t @ 2019-10-31 14:05 UTC (permalink / raw)
To: Rui DeSousa <rui@crazybean.net>; +Cc: pgsql-admin
Dear Team,
How this function works, it is not working it is throwing error message ,
[image: image.png]
Kindly check that, and revert back.
Regards,
Mallikarjunarao,
+91-8142923383.
On Thu, Oct 31, 2019 at 5:04 PM mallikarjun t <mallit333@gmail.com> wrote:
> Dear Team,
>
> Thanks for your support. I will check.
>
>
> Regards,
> Mallikarjunarao,
> +91-8142923383.
>
> On Wed, Oct 30, 2019 at 8:59 PM Rui DeSousa <rui@crazybean.net> wrote:
>
>> You need to capture the value at the starting and ending period that
>> you’re interested in and then calculate the delta.
>>
>>
>> I export all the stats tables out every minute and put them into history
>> table on a different system — then query any period of interest. Sorta
>> like Oracle’s stats pack.
>>
>> There are also monitoring tools that do this all for you already.
>>
>> i.e. This is the function I would use to get the information you’re
>> looking for:
>>
>> /*
>> Query Example:
>>
>> select period_start
>> , period_end
>> , to_char(xact_commit + xact_rollback, numeric_format(10, 0)) as
>> tran_cnt
>> , to_char(txid_cnt, numeric_format(10, 0)) as txid_cnt
>> , pg_size_pretty((blks_read + blks_hit) * 16 * 1024) as buf_read
>> , pg_size_pretty(blks_read * 16 * 1024) as fs_read
>> , to_char(blks_hit::numeric / (blks_read + blks_hit) * 100,
>> '999D9999%') as buf_pct
>> , to_char(temp_files, numeric_format(15, 0)) as temp_files
>> , pg_size_pretty(temp_bytes) as tmp_tbl
>> , to_char(tup_returned, numeric_format(15, 0)) as tup_returned
>> , to_char(tup_inserted, numeric_format(15, 0)) as tup_inserted
>> , to_char(tup_updated, numeric_format(15, 0)) as tup_updated
>> , to_char(tup_deleted, numeric_format(15, 0)) as tup_deleted
>> from get_database_stat(‘dynamo', '2018-06-26'::date, '2018-06-30'::date,
>> 60)
>> ;
>>
>> */
>>
>> create or replace function get_database_stat(_database name, _start_time
>> timestamp(0) with time zone, _end_time timestamp(0) with time zone,
>> _interval int default 1)
>> returns table (
>> period_start timestamp(0) with time zone,
>> period_end timestamp(0) with time zone,
>> xact_commit bigint,
>> xact_rollback bigint,
>> txid_cnt bigint,
>> blks_read bigint,
>> blks_hit bigint,
>> tup_returned bigint,
>> tup_fetched bigint,
>> tup_inserted bigint,
>> tup_updated bigint,
>> tup_deleted bigint,
>> conflicts bigint,
>> temp_files bigint,
>> temp_bytes bigint,
>> deadlocks bigint,
>> blk_read_time double precision,
>> blk_write_time double precision
>> ) as $$
>> declare
>> _offset_factor int;
>> begin
>> _offset_factor := (_interval * 60) - ((extract(epoch from
>> date_trunc('minutes', _start_time)))::int % (_interval * 60));
>>
>> return query
>> select lag(s.hist_stat_time) over (partition by s.datname,
>> s.stats_reset order by s.hist_stat_time) as period_start
>> , s.hist_stat_time as period_end
>> , (s.xact_commit - lag(s.xact_commit) over (partition by s.datname,
>> s.stats_reset order by s.hist_stat_time)) as xact_commit
>> , (s.xact_rollback - lag(s.xact_rollback) over (partition by
>> s.datname, s.stats_reset order by s.hist_stat_time)) as xact_rollback
>> , s.xact_txid - lag(s.xact_txid) over (partition by s.datname,
>> s.stats_reset order by s.hist_stat_time) as txid_cnt
>> , (s.blks_read - lag(s.blks_read) over (partition by s.datname,
>> s.stats_reset order by s.hist_stat_time)) as blks_read
>> , (s.blks_hit - lag(s.blks_hit) over (partition by s.datname,
>> s.stats_reset order by s.hist_stat_time)) as blks_hit
>> , (s.tup_returned - lag(s.tup_returned) over (partition by
>> s.datname, s.stats_reset order by s.hist_stat_time)) as tup_returned
>> , (s.tup_fetched - lag(s.tup_fetched) over (partition by s.datname,
>> s.stats_reset order by s.hist_stat_time)) as tup_fetched
>> , (s.tup_inserted - lag(s.tup_inserted) over (partition by
>> s.datname, s.stats_reset order by s.hist_stat_time)) as tup_inserted
>> , (s.tup_updated - lag(s.tup_updated) over (partition by s.datname,
>> s.stats_reset order by s.hist_stat_time)) as tup_updated
>> , (s.tup_deleted - lag(s.tup_deleted) over (partition by s.datname,
>> s.stats_reset order by s.hist_stat_time)) as tup_deleted
>> , (s.conflicts - lag(s.conflicts) over (partition by s.datname,
>> s.stats_reset order by s.hist_stat_time)) as conflicts
>> , (s.temp_files - lag(s.temp_files) over (partition by s.datname,
>> s.stats_reset order by s.hist_stat_time)) as temp_files
>> , (s.temp_bytes - lag(s.temp_bytes) over (partition by s.datname,
>> s.stats_reset order by s.hist_stat_time)) as temp_bytes
>> , (s.deadlocks - lag(s.deadlocks) over (partition by s.datname,
>> s.stats_reset order by s.hist_stat_time)) as deadlocks
>> , (s.blk_read_time - lag(s.blk_read_time) over (partition by
>> s.datname, s.stats_reset order by s.hist_stat_time)) as blk_read_time
>> , (s.blk_write_time - lag(s.blk_write_time) over (partition by
>> s.datname, s.stats_reset order by s.hist_stat_time)) as blk_write_time
>> from hist_stat_database s
>> where s.datname = _database
>> and s.hist_stat_time >= _start_time
>> and s.hist_stat_time <= _end_time
>> and ((extract(epoch from date_trunc('minutes',
>> s.hist_stat_time)))::int + _offset_factor) % (_interval * 60) = 0
>> order by s.hist_stat_time
>> offset 1
>> ;
>> end;
>> $$ language plpgsql
>> stable
>> ;
>>
>>
>>
>> On Oct 30, 2019, at 10:13 AM, mallikarjun t <mallit333@gmail.com> wrote:
>>
>> Dear Team,
>>
>> How to check, how many transactions are committed in one hour?
>>
>> In database level pg_stat_database xact_commit column is there,this is
>> giving only count.
>>
>> How to get count for hour basis and minutes and seconds basis, how many
>> transactions are committed?
>>
>> *How to check?*
>>
>> *Regards,*
>> *Mallikarjunarao,*
>>
>> *+91-8142923383.*
>>
>>
>>
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* Re: How to know transaction count in hour basic
2019-10-30 14:13 How to know transaction count in hour basic mallikarjun t <mallit333@gmail.com>
2019-10-30 15:29 ` Re: How to know transaction count in hour basic Rui DeSousa <rui@crazybean.net>
2019-10-31 11:34 ` Re: How to know transaction count in hour basic mallikarjun t <mallit333@gmail.com>
2019-10-31 14:05 ` Re: How to know transaction count in hour basic mallikarjun t <mallit333@gmail.com>
@ 2019-10-31 14:15 ` Rui DeSousa <rui@crazybean.net>
0 siblings, 0 replies; 9+ messages in thread
From: Rui DeSousa @ 2019-10-31 14:15 UTC (permalink / raw)
To: mallikarjun t <mallit333@gmail.com>; +Cc: pgsql-admin
That is a simple helper function to create a numeric format string for to_char():
create or replace function numeric_format(_percision int, _scale int)
returns varchar(100)
as $$
declare
_grpCnt int;
_decCnt int;
begin
_grpCnt := ((_percision - _scale) / 3);
_decCnt := ((_percision - _scale) % 3);
return trim(leading ',' from (repeat('9', _decCnt) || repeat('G999', _grpCnt) || 'D' || repeat('9', _scale)));
end;
$$ language plpgsql
immutable returns null on null input
;
> On Oct 31, 2019, at 10:05 AM, mallikarjun t <mallit333@gmail.com> wrote:
>
> Dear Team,
>
> How this function works, it is not working it is throwing error message ,
>
> <image.png>
>
> Kindly check that, and revert back.
>
> Regards,
> Mallikarjunarao,
> +91-8142923383.
>
> On Thu, Oct 31, 2019 at 5:04 PM mallikarjun t <mallit333@gmail.com <mailto:mallit333@gmail.com>> wrote:
> Dear Team,
>
> Thanks for your support. I will check.
>
>
> Regards,
> Mallikarjunarao,
> +91-8142923383.
>
> On Wed, Oct 30, 2019 at 8:59 PM Rui DeSousa <rui@crazybean.net <mailto:rui@crazybean.net>> wrote:
> You need to capture the value at the starting and ending period that you’re interested in and then calculate the delta.
>
>
> I export all the stats tables out every minute and put them into history table on a different system — then query any period of interest. Sorta like Oracle’s stats pack.
>
> There are also monitoring tools that do this all for you already.
>
> i.e. This is the function I would use to get the information you’re looking for:
>
> /*
> Query Example:
>
> select period_start
> , period_end
> , to_char(xact_commit + xact_rollback, numeric_format(10, 0)) as tran_cnt
> , to_char(txid_cnt, numeric_format(10, 0)) as txid_cnt
> , pg_size_pretty((blks_read + blks_hit) * 16 * 1024) as buf_read
> , pg_size_pretty(blks_read * 16 * 1024) as fs_read
> , to_char(blks_hit::numeric / (blks_read + blks_hit) * 100, '999D9999%') as buf_pct
> , to_char(temp_files, numeric_format(15, 0)) as temp_files
> , pg_size_pretty(temp_bytes) as tmp_tbl
> , to_char(tup_returned, numeric_format(15, 0)) as tup_returned
> , to_char(tup_inserted, numeric_format(15, 0)) as tup_inserted
> , to_char(tup_updated, numeric_format(15, 0)) as tup_updated
> , to_char(tup_deleted, numeric_format(15, 0)) as tup_deleted
> from get_database_stat(‘dynamo', '2018-06-26'::date, '2018-06-30'::date, 60)
> ;
>
> */
>
> create or replace function get_database_stat(_database name, _start_time timestamp(0) with time zone, _end_time timestamp(0) with time zone, _interval int default 1)
> returns table (
> period_start timestamp(0) with time zone,
> period_end timestamp(0) with time zone,
> xact_commit bigint,
> xact_rollback bigint,
> txid_cnt bigint,
> blks_read bigint,
> blks_hit bigint,
> tup_returned bigint,
> tup_fetched bigint,
> tup_inserted bigint,
> tup_updated bigint,
> tup_deleted bigint,
> conflicts bigint,
> temp_files bigint,
> temp_bytes bigint,
> deadlocks bigint,
> blk_read_time double precision,
> blk_write_time double precision
> ) as $$
> declare
> _offset_factor int;
> begin
> _offset_factor := (_interval * 60) - ((extract(epoch from date_trunc('minutes', _start_time)))::int % (_interval * 60));
>
> return query
> select lag(s.hist_stat_time) over (partition by s.datname, s.stats_reset order by s.hist_stat_time) as period_start
> , s.hist_stat_time as period_end
> , (s.xact_commit - lag(s.xact_commit) over (partition by s.datname, s.stats_reset order by s.hist_stat_time)) as xact_commit
> , (s.xact_rollback - lag(s.xact_rollback) over (partition by s.datname, s.stats_reset order by s.hist_stat_time)) as xact_rollback
> , s.xact_txid - lag(s.xact_txid) over (partition by s.datname, s.stats_reset order by s.hist_stat_time) as txid_cnt
> , (s.blks_read - lag(s.blks_read) over (partition by s.datname, s.stats_reset order by s.hist_stat_time)) as blks_read
> , (s.blks_hit - lag(s.blks_hit) over (partition by s.datname, s.stats_reset order by s.hist_stat_time)) as blks_hit
> , (s.tup_returned - lag(s.tup_returned) over (partition by s.datname, s.stats_reset order by s.hist_stat_time)) as tup_returned
> , (s.tup_fetched - lag(s.tup_fetched) over (partition by s.datname, s.stats_reset order by s.hist_stat_time)) as tup_fetched
> , (s.tup_inserted - lag(s.tup_inserted) over (partition by s.datname, s.stats_reset order by s.hist_stat_time)) as tup_inserted
> , (s.tup_updated - lag(s.tup_updated) over (partition by s.datname, s.stats_reset order by s.hist_stat_time)) as tup_updated
> , (s.tup_deleted - lag(s.tup_deleted) over (partition by s.datname, s.stats_reset order by s.hist_stat_time)) as tup_deleted
> , (s.conflicts - lag(s.conflicts) over (partition by s.datname, s.stats_reset order by s.hist_stat_time)) as conflicts
> , (s.temp_files - lag(s.temp_files) over (partition by s.datname, s.stats_reset order by s.hist_stat_time)) as temp_files
> , (s.temp_bytes - lag(s.temp_bytes) over (partition by s.datname, s.stats_reset order by s.hist_stat_time)) as temp_bytes
> , (s.deadlocks - lag(s.deadlocks) over (partition by s.datname, s.stats_reset order by s.hist_stat_time)) as deadlocks
> , (s.blk_read_time - lag(s.blk_read_time) over (partition by s.datname, s.stats_reset order by s.hist_stat_time)) as blk_read_time
> , (s.blk_write_time - lag(s.blk_write_time) over (partition by s.datname, s.stats_reset order by s.hist_stat_time)) as blk_write_time
> from hist_stat_database s
> where s.datname = _database
> and s.hist_stat_time >= _start_time
> and s.hist_stat_time <= _end_time
> and ((extract(epoch from date_trunc('minutes', s.hist_stat_time)))::int + _offset_factor) % (_interval * 60) = 0
> order by s.hist_stat_time
> offset 1
> ;
> end;
> $$ language plpgsql
> stable
> ;
>
>
>
>> On Oct 30, 2019, at 10:13 AM, mallikarjun t <mallit333@gmail.com <mailto:mallit333@gmail.com>> wrote:
>>
>> Dear Team,
>>
>> How to check, how many transactions are committed in one hour?
>>
>> In database level pg_stat_database xact_commit column is there,this is giving only count.
>>
>> How to get count for hour basis and minutes and seconds basis, how many transactions are committed?
>>
>> How to check?
>>
>> Regards,
>> Mallikarjunarao,
>> +91-8142923383.
>
^ permalink raw reply [nested|flat] 9+ messages in thread
end of thread, other threads:[~2019-10-31 14:15 UTC | newest]
Thread overview: 9+ messages (download: mbox mbox.gz follow: Atom feed)
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2019-10-30 14:13 How to know transaction count in hour basic mallikarjun t <mallit333@gmail.com>
2019-10-30 14:50 ` Alex Balashov <abalashov@evaristesys.com>
2019-10-30 15:00 ` mallikarjun t <mallit333@gmail.com>
2019-10-30 15:01 ` Alex Balashov <abalashov@evaristesys.com>
2019-10-30 15:10 ` mallikarjun t <mallit333@gmail.com>
2019-10-30 15:29 ` Rui DeSousa <rui@crazybean.net>
2019-10-31 11:34 ` mallikarjun t <mallit333@gmail.com>
2019-10-31 14:05 ` mallikarjun t <mallit333@gmail.com>
2019-10-31 14:15 ` Rui DeSousa <rui@crazybean.net>
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