Thread: How to know transaction count in hour basic

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.

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.

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.

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.