Thank you Jonathan.
So, It means the time spent is really on doing INSERT only but not the
"reading/select" part of the query. While loading , it spends a lot of time
scanning blocks that are full and thus unable to insert rows in them.
However, onething want to share here, that the target partition key/date is
hard coded in this query, which means the data inserted into a fresh new
blank partition each day. So ideally it should be a brand new segment
without any fragmentation etc.
*"When I asked about a "catastrophic" event, I wanted you to think whether
there was any large-scale activity you might have done in the recent past.*
"
In the recent past this database moved from the older version of exadata to
the latest X9 and also the database was moved to multitenant PDB. How can
that be related? But then why do we see the slowness on certain days only
but not daily when this data load happens?
Also we see some high "block" count for almost the same amount num_rows,.
I.e for the same ~30million rows , some partitions showing the blocks as
~1million and some are showing ~1.5million. Is this expected?.
PARTITION_NAME NUM_ROWS BLOCKS AVG_ROW_LEN COMPRESSION
PBDRA_DTL_11272023_P 33734616 1487844 197 DISABLED
PBDRA_DTL_11262023_P 33469912 980070 198 DISABLED
PBDRA_DTL_11252023_P 33527112 994892 198 DISABLED
PBDRA_DTL_11242023_P 33948522 991827 198 DISABLED
PBDRA_DTL_11232023_P 32667974 993492 198 DISABLED
PBDRA_DTL_11222023_P 34653004 1529017 198 DISABLED
PBDRA_DTL_11212023_P 33233838 968435 198 DISABLED
PBDRA_DTL_11202023_P 32870086 1472631 198 DISABLED
PBDRA_DTL_11192023_P 32485084 947193 198 DISABLED
Yet to find the space usage percentage from the new segments/partitions.
Hope i can use the scripts in the blog below for the same.
https://jonathanlewis.wordpress.com/2016/09/11/space-usage/
On Tue, Nov 28, 2023 at 11:38 PM Jonathan Lewis <jlewisoracle@xxxxxxxxx>
wrote:
an index on (large sequence value, date_value) should store about 310 to
320 index entries per leaf block when full.
So the leaf node splits suggest you've inserted roughly 4602 * 310 = 1.4M
rows in the bad case and 40928 * 310 = 12.7M rows in the good case.
These figures are in line with the execute count (etc.) of 1424230
and 12752800. This suggests that virtually every row that gets through the
other join predicates executes the select statement in fun1 and survives
the predicate check.
The "index range scans" statistic match the "execution count" statistic in
both cases, and the various figures for consistent gets suggest that the
access path is the same in both cases (and is index only-only). So you can
discount something odd happening with the function.
Take the execute count as the number of rows inserted
Take "ASSM gsp: get free block" - "leaf node splits" - "branch node
splits" as the number of new blocks requested for the table.
Divide "rows inserted" by "new table blocks" and the answer is about
34.5: multiply that by 203 (avg_row_len + 5 for the row overhead) and the
answer is about 7,000 - so the figures about data size etc. hang together
quite well, and make it reasonable to look for the problem in "other
activity">
So in the bad case the session requests some ASSM space for inserting
table rows 41,500 times (46,150 - 4,600). To find that space is examines
To find that space Oracle examines 42.6M Level 1 bitmap blocks: (ASSM
gsp:L1 bitmaps examined 42601388)
and 184M data blocks: (ASSM cbk:blocks examined 184273393)
Of these(!), Oracle reports 633M rejected (ASSM gsp:reject db
622315351)
I think the inconsistency in the examined/rejected tells us that there's
an error somewhere in how Oracle is totalling up different subsets, and
there are lots of ways you can kick around all the examine/reject figures
to try and guess what they mean and how they've been summed incorrectly.
What I do think, though, is that the 184M blocks examined, and the 42M L1
bitmap blocks example are where your code is burning its excess CPU in the
slow case -- checking blocks which aren't flagged as FULL, but can't accept
the data that needs to be inserted. In passing 184M + 42M = 226M, which is
most of the session logical I/O.
When I asked about a "catastrophic" event, I wanted you to think whether
there was any large-scale activity you might have done in the recent past.
If I had wanted to know if you had done a big delete I would have asked if
you had done a big delete. We need to find a reason why there are lots of
blocks that seem to be marked as "space available" in the L1 bitmap, but
aren't usable once Oracle gets to the block. (At some point in the past
Oracle Corp. added code for a session to record a list of blocks that it
had visited unsuccessfully "a few" times so that it stopped visiting them,
but that may have changed since the initial implementation.)
You could use the dbms_space.space_usage procedure to check the state of
the blocks in one of the target partitions to see if there are lots of
blocks that between 75 and 10% full. This might be a bit of information to
pass to Oracle.
Regards
Jonathan Lewis
There exists only one composite (TXN_ID, WOD_DT) primary key index on
this table-PBDRA_DTL. This table is daily range partitioned on a date
column. And also the sequence -PBDRAD_SEQ does fed into the leading
column(TXN_ID) of the PK index.
The AVG_ROW_LEN i see in dba_tab_partition for last few of the partitions
are showing ~198 and similar for others too.
PARTITION_NAME NUM_ROWS BLOCKS AVG_ROW_LEN COMPRESSION
PBDRA_DTL_11272023_P 33734616 1487844 197 DISABLED
PBDRA_DTL_11262023_P 33469912 980070 198 DISABLED
PBDRA_DTL_11252023_P 33527112 994892 198 DISABLED
PBDRA_DTL_11242023_P 33948522 991827 198 DISABLED
PBDRA_DTL_11232023_P 32667974 993492 198 DISABLED
PBDRA_DTL_11222023_P 34653004 1529017 198 DISABLED
PBDRA_DTL_11212023_P 33233838 968435 198 DISABLED
PBDRA_DTL_11202023_P 32870086 1472631 198 DISABLED
PBDRA_DTL_11192023_P 32485084 947193 198 DISABLED
Select list doesnt have any plsql function.
Today I have captured the sql monitor and related stats from v$sesstat
for a ~5minutes delta period for a quick/good run in which the complete
query finished in ~15minutes. I have posted the sql monitor and stats in
same github link, The session stats i have posted as comments to the same
github linc.
https://gist.github.com/oraclelearner/722a77ef5ebce23396d82e2835958303
When you mentioned "*some catastrophic activity on the base table might
cause the ASSM related stats*", are you pointing to delete or anything?
Because we normally dont performa DELETE but just use partition DROP for
data purge on these tables. Below is the stats specific to ASSM i do
observe , and those i have not noticed in past frequently. And also as we
encounter this slow run intermittently, so not sure if we are encountering
any bugs related to ASSM here?
