Check RowsAffected when applying DML events to get more accurate statistics (#844)

* Check RowsAffected when applying DML events to get more accurate statistics

Addresses #600.

When applying a DML event, check the RowsAffected on the `Result`
struct. Since all DML event queries are point queries, this will only
ever be 0 or 1. The applier then takes this value and multiplies by
the `rowsDelta` of the event, resulting in a properly-signed, accurate
row delta to use in the statistics.

If an error occurs here, log it, but do not surface this as an
actual error .. simply assume the DML affected a row and move on. It
will be inaccurate, but this is already the case.

* Fix import

* update wording to warning log message

Co-authored-by: Tim Vaillancourt <timvaillancourt@github.com>
This commit is contained in:
Andrew Mason 2021-07-14 10:48:03 -04:00 committed by dm-2
parent 0adb69781f
commit f29e63bc71

View File

@ -1,5 +1,5 @@
/*
Copyright 2016 GitHub Inc.
Copyright 2021 GitHub Inc.
See https://github.com/github/gh-ost/blob/master/LICENSE
*/
@ -8,6 +8,7 @@ package logic
import (
gosql "database/sql"
"fmt"
"sync"
"sync/atomic"
"time"
@ -16,8 +17,8 @@ import (
"github.com/github/gh-ost/go/mysql"
"github.com/github/gh-ost/go/sql"
"github.com/outbrain/golib/sqlutils"
"sync"
"github.com/openark/golib/log"
"github.com/openark/golib/sqlutils"
)
const (
@ -1070,11 +1071,20 @@ func (this *Applier) ApplyDMLEventQueries(dmlEvents [](*binlog.BinlogDMLEvent))
if buildResult.err != nil {
return rollback(buildResult.err)
}
if _, err := tx.Exec(buildResult.query, buildResult.args...); err != nil {
result, err := tx.Exec(buildResult.query, buildResult.args...)
if err != nil {
err = fmt.Errorf("%s; query=%s; args=%+v", err.Error(), buildResult.query, buildResult.args)
return rollback(err)
}
totalDelta += buildResult.rowsDelta
rowsAffected, err := result.RowsAffected()
if err != nil {
log.Warningf("error getting rows affected from DML event query: %s. i'm going to assume that the DML affected a single row, but this may result in inaccurate statistics", err)
rowsAffected = 1
}
// each DML is either a single insert (delta +1), update (delta +0) or delete (delta -1).
// multiplying by the rows actually affected (either 0 or 1) will give an accurate row delta for this DML event
totalDelta += buildResult.rowsDelta * rowsAffected
}
}
if err := tx.Commit(); err != nil {