Thread

Commits

  1. Be more wary about shm_toc_lookup failure.

  2. Fix ReinitializeParallelDSM to tolerate finding no error queues.

  3. Teach bitmap heap scan to cope with absence of a DSA.

  4. Don't be so trusting that shm_toc_lookup() will always succeed.

  1. ERROR: too many dynamic shared memory segments

    Jakub Glapa <jakub.glapa@gmail.com> — 2017-11-27T09:54:03Z

    Hi,
    I started seeing those errors on Postgresql 10.1 running on Ubuntu 16.04.3
    (64GB/8CPU) server.
    The DB enters recovery mode after that.
    
    2017-11-23 07:20:39 CET::@:[24823]: ERROR:  could not attach to dynamic
    shared area
    2017-11-23 07:20:39 CET::@:[24822]: ERROR:  could not map dynamic shared
    memory segment
    2017-11-23 07:20:40 CET:192.168.xx,xx(33974):u(at)db:[24209]: ERROR:  too
    many
    dynamic shared memory segments
    
    
    
    The errors happen when the parallel execution is enabled and multiple
    queries are executed simultaneously.
    If I set the max_parallel_workers_per_gather = 0 the error doesn't occur.
    The queries are rather big, each executes over 10sec.
    I see the error when 4 or more queries are started at the same time.
    
    my postgresql.conf:
    
    max_connections = 100
    shared_buffers = 12GB
    effective_cache_size = 51GB
    work_mem = 83886kB
    maintenance_work_mem = 2GB
    max_wal_size = 8GB
    min_wal_size = 4GB
    checkpoint_completion_target = 0.9
    wal_buffers = 32MB
    default_statistics_target = 1000
    max_locks_per_transaction = 128
    #max_parallel_workers_per_gather = 0
    
    
    
    
    PS. I've posted this question on pgsql-admin distro but didn't get any
    feedback.
    
    
    --
    regards,
    Jakub Glapa
    
  2. Re: ERROR: too many dynamic shared memory segments

    Thomas Munro <thomas.munro@enterprisedb.com> — 2017-11-27T10:47:05Z

    On Mon, Nov 27, 2017 at 10:54 PM, Jakub Glapa <jakub.glapa@gmail.com> wrote:
    > The DB enters recovery mode after that.
    
    That's not good.  So it actually crashes?  Can you please show the
    full error messages?
    
    > 2017-11-23 07:20:39 CET::@:[24823]: ERROR:  could not attach to dynamic
    > shared area
    
    From src/backend/utils/mmgr/dsa.c.  The same message is used for
    dsa_attach() and for attach_internal(), but in this case it must be
    the latter because we use in-place DSA areas for parallel query.  This
    means that when the worker tried to attach it found that
    control->refcnt == 0, meaning 'too late, every other backend including
    the leader has already detached'.
    
    > 2017-11-23 07:20:39 CET::@:[24822]: ERROR:  could not map dynamic shared
    > memory segment
    
    From src/backend/access/transam/parallel.c when dsm_attach returns
    null.  I think this also means 'too late'.
    
    So those are both workers that have started up and found that the
    leader has abandoned the parallel query already, but they discovered
    it at different stages.  PID 24823 didn't manage to attach to the DSM
    segment, while PID 24822 did but found that the other(s) had already
    detached from the per-query DSA area inside it.
    
    > 2017-11-23 07:20:40 CET:192.168.xx,xx(33974):u(at)db:[24209]: ERROR:  too
    > many
    > dynamic shared memory segments
    >
    > The errors happen when the parallel execution is enabled and multiple
    > queries are executed simultaneously.
    > If I set the max_parallel_workers_per_gather = 0 the error doesn't occur.
    > The queries are rather big, each executes over 10sec.
    > I see the error when 4 or more queries are started at the same time.
    >
    > my postgresql.conf:
    >
    > max_connections = 100
    
    So the two questions we need to figure out are: (1) how do we manage
    to use up all 64 + 2 * 100 DSM slots (or somehow corrupt things so it
    looks that way) by running only 4 queries, and (2) why would be be
    crashing rather than failing and reporting an error?  I'm not able to
    reproduce the problem from your description running lots of parallel
    queries running at the same time.  Can you provide reproduction steps?
     Does your query plan happen to include a Parallel Bitmap Heap Scan?
    
    -- 
    Thomas Munro
    http://www.enterprisedb.com
    
    
    
  3. Re: ERROR: too many dynamic shared memory segments

    Jakub Glapa <jakub.glapa@gmail.com> — 2017-11-27T12:13:32Z

    Hi Thomas,
    log excerpt:
    
    ...
    2017-11-27 12:21:14 CET:192.168.10.83(33424):user@db:[27291]: ERROR:  too
    many dynamic shared memory segments
    2017-11-27 12:21:14 CET:192.168.10.83(33424):user@db:[27291]: STATEMENT:
     SELECT << REMOVED>>
    2017-11-27 12:21:14 CET:192.168.10.83(35182):user@db:[28281]: ERROR:  too
    many dynamic shared memory segments
    2017-11-27 12:21:14 CET:192.168.10.83(35182):user@db:[28281]: STATEMENT:
     SELECT <<REMOVED>
    2017-11-27 12:21:14 CET::@:[28618]: ERROR:  could not map dynamic shared
    memory segment
    2017-11-27 12:21:14 CET::@:[28619]: ERROR:  could not map dynamic shared
    memory segment
    2017-11-27 12:21:14 CET::@:[25645]: LOG:  worker process: parallel worker
    for PID 27291 (PID 28618) exited with exit code 1
    2017-11-27 12:21:14 CET::@:[25645]: LOG:  worker process: parallel worker
    for PID 27291 (PID 28619) exited with exit code 1
    ...
    
    this time the db didn't crash but the queries failed to execute.
    
    The queries are somehow special.
    We are still using the old style partitioning (list type) but we abuse it a
    bit when querying.
    When querying a set of partitions instead of doing it via parent table we
    stitch together the required tables with UNION ALL (this requires less
    locking) and was more performant in our benchmark (the new native
    partitioning might improve this but we didn't research that yet).
    
    The queries are in form of
    SELECT col1,col2,col3 FROM
    (SELECT *
          FROM par1
          WHERE rangestart >= '2017-01-01 00:00:00.0' AND rangeend <=
    '2017-11-26 23:59:59.999'
          UNION ALL SELECT *
                    FROM par2
                    WHERE rangestart >= '2017-01-01 00:00:00.0' AND rangeend <=
    '2017-11-26 23:59:59.999'
          UNION ALL SELECT *
                    FROM  par2
                    WHERE rangestart >= '2017-01-01 00:00:00.0' AND rangeend <=
    '2017-11-26 23:59:59.999'
    
          WHERE rangestart >= '2017-01-01 00:00:00.0' AND rangeend <=
    '2017-11-26 23:59:59.999'
    
    UNION ALL
    ...
    ) unionalias
    WHERE ....
    
    
    
    and indeed the query planner shows the usage of Bitmap Heap Scan
    ....
                                     ->  Subquery Scan on "*SELECT* 2"
     (cost=3068.58..19793.94 rows=1 width=1284)
                                           ->  Gather  (cost=3068.58..19793.93
    rows=1 width=5014)
                                                 Workers Planned: 2
                                                 ->  Parallel Bitmap Heap Scan
    on par_6  (cost=2068.58..18793.83 rows=1 width=5014)
                                                       Recheck Cond:
    <<CONDITION>>
                                                       Filter: <<CONDITION>>
                                                       ->  BitmapAnd
     (cost=2068.58..2068.58 rows=30955 width=0)
                                                             ->  BitmapOr
     (cost=999.30..999.30 rows=42989 width=0)
                                                                   ->  Bitmap
    Index Scan on par_6_datasource  (cost=0.00..990.21 rows=42922 width=0)
                                                                         Index
    Cond: ((datasource)::text = 'one'::text)
                                                                   ->  Bitmap
    Index Scan on par_6_datasource  (cost=0.00..4.30 rows=1 width=0)
                                                                         Index
    Cond: ((datasource)::text = 'two'::text)
                                                                   ->  Bitmap
    Index Scan on par_6_datasource  (cost=0.00..4.79 rows=67 width=0)
                                                                         Index
    Cond: ((datasource)::text = 'three'::text)
                                                             ->  Bitmap Index
    Scan on par_6_rangestart  (cost=0.00..1069.02 rows=47564 width=0)
                                                                   Index Cond:
    (rangestart >= '2017-01-01 00:00:00+01'::timestamp with time zone)
                                     ->  Subquery Scan on "*SELECT* 3"
     (cost=761.33..7944.99 rows=1 width=1086)
                                           ->  Bitmap Heap Scan on par_7
     (cost=761.33..7944.98 rows=1 width=4816)
                                                       Recheck Cond:
    <<CONDITION>>
                                                       Filter: <<CONDITION>>
                                                 ->  BitmapAnd
     (cost=761.33..761.33 rows=7045 width=0)
                                                       ->  Bitmap Index Scan on
    par_7_rangestart  (cost=0.00..380.35 rows=14942 width=0)
                                                             Index Cond:
    (rangestart >= '2017-01-01 00:00:00+01'::timestamp with time zone)
                                                       ->  BitmapOr
     (cost=380.72..380.72 rows=12248 width=0)
                                                             ->  Bitmap Index
    Scan on par_7_datasource  (cost=0.00..372.00 rows=12228 width=0)
                                                                   Index Cond:
    ((datasource)::text = 'one'::text)
                                                             ->  Bitmap Index
    Scan on par_7_datasource  (cost=0.00..4.36 rows=10 width=0)
                                                                   Index Cond:
    ((datasource)::text = 'two'::text)
                                                             ->  Bitmap Index
    Scan on par_7_datasource  (cost=0.00..4.36 rows=10 width=0)
                                                                   Index Cond:
    ((datasource)::text = 'three'::text)
    
    ....
    
    
    In this particular query there were over _100_ partitions connected with
    the UNION ALL operator.
    
    
    
    
    
    --
    regards,
    pozdrawiam,
    Jakub Glapa
    
    On Mon, Nov 27, 2017 at 11:47 AM, Thomas Munro <
    thomas.munro@enterprisedb.com> wrote:
    
    > On Mon, Nov 27, 2017 at 10:54 PM, Jakub Glapa <jakub.glapa@gmail.com>
    > wrote:
    > > The DB enters recovery mode after that.
    >
    > That's not good.  So it actually crashes?  Can you please show the
    > full error messages?
    >
    > > 2017-11-23 07:20:39 CET::@:[24823]: ERROR:  could not attach to dynamic
    > > shared area
    >
    > From src/backend/utils/mmgr/dsa.c.  The same message is used for
    > dsa_attach() and for attach_internal(), but in this case it must be
    > the latter because we use in-place DSA areas for parallel query.  This
    > means that when the worker tried to attach it found that
    > control->refcnt == 0, meaning 'too late, every other backend including
    > the leader has already detached'.
    >
    > > 2017-11-23 07:20:39 CET::@:[24822]: ERROR:  could not map dynamic shared
    > > memory segment
    >
    > From src/backend/access/transam/parallel.c when dsm_attach returns
    > null.  I think this also means 'too late'.
    >
    > So those are both workers that have started up and found that the
    > leader has abandoned the parallel query already, but they discovered
    > it at different stages.  PID 24823 didn't manage to attach to the DSM
    > segment, while PID 24822 did but found that the other(s) had already
    > detached from the per-query DSA area inside it.
    >
    > > 2017-11-23 07:20:40 CET:192.168.xx,xx(33974):u(at)db:[24209]: ERROR:
    > too
    > > many
    > > dynamic shared memory segments
    > >
    > > The errors happen when the parallel execution is enabled and multiple
    > > queries are executed simultaneously.
    > > If I set the max_parallel_workers_per_gather = 0 the error doesn't
    > occur.
    > > The queries are rather big, each executes over 10sec.
    > > I see the error when 4 or more queries are started at the same time.
    > >
    > > my postgresql.conf:
    > >
    > > max_connections = 100
    >
    > So the two questions we need to figure out are: (1) how do we manage
    > to use up all 64 + 2 * 100 DSM slots (or somehow corrupt things so it
    > looks that way) by running only 4 queries, and (2) why would be be
    > crashing rather than failing and reporting an error?  I'm not able to
    > reproduce the problem from your description running lots of parallel
    > queries running at the same time.  Can you provide reproduction steps?
    >  Does your query plan happen to include a Parallel Bitmap Heap Scan?
    >
    > --
    > Thomas Munro
    > http://www.enterprisedb.com
    >
    
  4. Re: ERROR: too many dynamic shared memory segments

    Thomas Munro <thomas.munro@enterprisedb.com> — 2017-11-27T18:53:46Z

    On Tue, Nov 28, 2017 at 1:13 AM, Jakub Glapa <jakub.glapa@gmail.com> wrote:
    > The queries are somehow special.
    > We are still using the old style partitioning (list type) but we abuse it a
    > bit when querying.
    > When querying a set of partitions instead of doing it via parent table we
    > stitch together the required tables with UNION ALL (this requires less
    > locking) and was more performant in our benchmark (the new native
    > partitioning might improve this but we didn't research that yet).
    >
    > The queries are in form of
    > SELECT col1,col2,col3 FROM
    > (SELECT *
    >       FROM par1
    >       WHERE rangestart >= '2017-01-01 00:00:00.0' AND rangeend <=
    > '2017-11-26 23:59:59.999'
    >       UNION ALL SELECT *
    >                 FROM par2
    >                 WHERE rangestart >= '2017-01-01 00:00:00.0' AND rangeend <=
    > '2017-11-26 23:59:59.999'
    >       UNION ALL SELECT *
    >                 FROM  par2
    >                 WHERE rangestart >= '2017-01-01 00:00:00.0' AND rangeend <=
    > '2017-11-26 23:59:59.999'
    >
    >       WHERE rangestart >= '2017-01-01 00:00:00.0' AND rangeend <=
    > '2017-11-26 23:59:59.999'
    >
    > UNION ALL
    > ...
    > ) unionalias
    > WHERE ....
    >
    >
    >
    > and indeed the query planner shows the usage of Bitmap Heap Scan
    > ....
    >                                  ->  Subquery Scan on "*SELECT* 2"
    > (cost=3068.58..19793.94 rows=1 width=1284)
    >                                        ->  Gather  (cost=3068.58..19793.93
    > rows=1 width=5014)
    >                                              Workers Planned: 2
    >                                              ->  Parallel Bitmap Heap Scan
    > on par_6  (cost=2068.58..18793.83 rows=1 width=5014)
    >                                                    Recheck Cond:
    > <<CONDITION>>
    >                                                    Filter: <<CONDITION>>
    >                                                    ->  BitmapAnd
    > (cost=2068.58..2068.58 rows=30955 width=0)
    >                                                          ->  BitmapOr
    > (cost=999.30..999.30 rows=42989 width=0)
    >                                                                ->  Bitmap
    > Index Scan on par_6_datasource  (cost=0.00..990.21 rows=42922 width=0)
    >                                                                      Index
    > Cond: ((datasource)::text = 'one'::text)
    >                                                                ->  Bitmap
    > Index Scan on par_6_datasource  (cost=0.00..4.30 rows=1 width=0)
    >                                                                      Index
    > Cond: ((datasource)::text = 'two'::text)
    >                                                                ->  Bitmap
    > Index Scan on par_6_datasource  (cost=0.00..4.79 rows=67 width=0)
    >                                                                      Index
    > Cond: ((datasource)::text = 'three'::text)
    >                                                          ->  Bitmap Index
    > Scan on par_6_rangestart  (cost=0.00..1069.02 rows=47564 width=0)
    >                                                                Index Cond:
    > (rangestart >= '2017-01-01 00:00:00+01'::timestamp with time zone)
    >                                  ->  Subquery Scan on "*SELECT* 3"
    > (cost=761.33..7944.99 rows=1 width=1086)
    >                                        ->  Bitmap Heap Scan on par_7
    > (cost=761.33..7944.98 rows=1 width=4816)
    >                                                    Recheck Cond:
    > <<CONDITION>>
    >                                                    Filter: <<CONDITION>>
    >                                              ->  BitmapAnd
    > (cost=761.33..761.33 rows=7045 width=0)
    >                                                    ->  Bitmap Index Scan on
    > par_7_rangestart  (cost=0.00..380.35 rows=14942 width=0)
    >                                                          Index Cond:
    > (rangestart >= '2017-01-01 00:00:00+01'::timestamp with time zone)
    >                                                    ->  BitmapOr
    > (cost=380.72..380.72 rows=12248 width=0)
    >                                                          ->  Bitmap Index
    > Scan on par_7_datasource  (cost=0.00..372.00 rows=12228 width=0)
    >                                                                Index Cond:
    > ((datasource)::text = 'one'::text)
    >                                                          ->  Bitmap Index
    > Scan on par_7_datasource  (cost=0.00..4.36 rows=10 width=0)
    >                                                                Index Cond:
    > ((datasource)::text = 'two'::text)
    >                                                          ->  Bitmap Index
    > Scan on par_7_datasource  (cost=0.00..4.36 rows=10 width=0)
    >                                                                Index Cond:
    > ((datasource)::text = 'three'::text)
    >
    > ....
    >
    >
    > In this particular query there were over _100_ partitions connected with the
    > UNION ALL operator.
    
    Ah, so you have many Gather nodes under Append?  That's one way to eat
    arbitrarily many DSM slots.  We allow for 64 + 2 * max_backends.  Does
    it help if you increase max_connections?  I am concerned about the
    crash failure mode you mentioned in the first email though: we should
    always be able to handle that condition gracefully.
    
    -- 
    Thomas Munro
    http://www.enterprisedb.com
    
    
    
  5. Re: ERROR: too many dynamic shared memory segments

    Tom Lane <tgl@sss.pgh.pa.us> — 2017-11-27T19:16:25Z

    Thomas Munro <thomas.munro@enterprisedb.com> writes:
    > Ah, so you have many Gather nodes under Append?  That's one way to eat
    > arbitrarily many DSM slots.  We allow for 64 + 2 * max_backends.  Does
    > it help if you increase max_connections?  I am concerned about the
    > crash failure mode you mentioned in the first email though: we should
    > always be able to handle that condition gracefully.
    
    I suspect this is an instance of the issue I complained about before [1]
    that parallel query is unable to cope with worker start failure.
    
    			regards, tom lane
    
    [1] https://www.postgresql.org/message-id/4905.1492813727@sss.pgh.pa.us
    
    
    
  6. Re: ERROR: too many dynamic shared memory segments

    Jakub Glapa <jakub.glapa@gmail.com> — 2017-11-27T21:05:39Z

    Hi Thomas,
    doubling the max_connection has the problem gone away for now! Yay!
    
    As for the crash. I dug up the initial log and it looks like a segmentation
    fault...
    
    2017-11-23 07:26:53 CET:192.168.10.83(35238):user@db:[30003]: ERROR:  too
    many dynamic shared memory segments
    2017-11-23 07:26:53 CET:192.168.10.83(35238):user@db:[30003]: STATEMENT:
     SELECT ....
    2017-11-23 07:26:55 CET::@:[29398]: LOG:  server process (PID 26992) was
    terminated by signal 11: Segmentation fault
    2017-11-23 07:26:55 CET::@:[29398]: DETAIL:  Failed process was running:
    SELECT .....
    2017-11-23 07:26:55 CET::@:[29398]: LOG:  terminating any other active
    server processes
    2017-11-23 07:26:55 CET:192.168.10.83(35242):user@db:[30009]: WARNING:
     terminating connection because of crash of another server process
    2017-11-23 07:26:55 CET:192.168.10.83(35242):user@db:[30009]: DETAIL:  The
    postmaster has commanded this server process to roll back the current
    transaction and exit, because another server process exited abnormally and
    possibly corrupted shared memory.
    2017-11-23 07:26:55 CET:192.168.10.83(35242):user@db:[30009]: HINT:  In a
    moment you should be able to reconnect to the database and repeat your
    command.
    2017-11-23 07:26:55 CET:192.168.10.83(35268):user@db:[30097]: WARNING:
     terminating connection because of crash of another server process
    2017-11-23 07:26:55 CET:192.168.10.83(35268):user@db:[30097]: DETAIL:  The
    postmaster has commanded this server process to roll back the current
    transaction and exit, because another server process exited abnormally and
    possibly corrupted shared memory.
    2017-11-23 07:26:55 CET:192.168.10.83(35268):user@db:[30097]: HINT:  In a
    moment you should be able to reconnect to the database and repeat your
    command.
    2017-11-23 07:26:55 CET:192.168.10.83(46614):user@db:[31080]: WARNING:
     terminating connection because of crash of another server process
    2017-11-23 07:26:55 CET:192.168.10.83(46614):user@db:[31080]: DETAIL:  The
    postmaster has commanded this server process to roll back the current
    transaction and exit, because another server process exited abnormally and
    possibly corrupted shared memory.
    2017-11-23 07:26:55 CET:192.168.10.83(46614):user@db: HINT:  In a moment
    you should be able to reconnect to the database and repeat your command.
    2017-11-23 07:26:55 CET:192.168.10.83(35238):user@db:[30003]: WARNING:
     terminating connection because of crash of another server process
    2017-11-23 07:26:55 CET:192.168.10.83(35238):user@db:[30003]: DETAIL:  The
    postmaster has commanded this server process to roll back the current
    transaction and exit, because another server process exited abnormally and
    possibly corrupted shared memory
    2017-11-23 07:26:55 CET:192.168.10.83(35300):user@db:[30152]: FATAL:  the
    database system is in recovery mode
    
    
    
    
    
    
    --
    regards,
    pozdrawiam,
    Jakub Glapa
    
    On Mon, Nov 27, 2017 at 7:53 PM, Thomas Munro <thomas.munro@enterprisedb.com
    > wrote:
    
    > On Tue, Nov 28, 2017 at 1:13 AM, Jakub Glapa <jakub.glapa@gmail.com>
    > wrote:
    > > The queries are somehow special.
    > > We are still using the old style partitioning (list type) but we abuse
    > it a
    > > bit when querying.
    > > When querying a set of partitions instead of doing it via parent table we
    > > stitch together the required tables with UNION ALL (this requires less
    > > locking) and was more performant in our benchmark (the new native
    > > partitioning might improve this but we didn't research that yet).
    > >
    > > The queries are in form of
    > > SELECT col1,col2,col3 FROM
    > > (SELECT *
    > >       FROM par1
    > >       WHERE rangestart >= '2017-01-01 00:00:00.0' AND rangeend <=
    > > '2017-11-26 23:59:59.999'
    > >       UNION ALL SELECT *
    > >                 FROM par2
    > >                 WHERE rangestart >= '2017-01-01 00:00:00.0' AND rangeend
    > <=
    > > '2017-11-26 23:59:59.999'
    > >       UNION ALL SELECT *
    > >                 FROM  par2
    > >                 WHERE rangestart >= '2017-01-01 00:00:00.0' AND rangeend
    > <=
    > > '2017-11-26 23:59:59.999'
    > >
    > >       WHERE rangestart >= '2017-01-01 00:00:00.0' AND rangeend <=
    > > '2017-11-26 23:59:59.999'
    > >
    > > UNION ALL
    > > ...
    > > ) unionalias
    > > WHERE ....
    > >
    > >
    > >
    > > and indeed the query planner shows the usage of Bitmap Heap Scan
    > > ....
    > >                                  ->  Subquery Scan on "*SELECT* 2"
    > > (cost=3068.58..19793.94 rows=1 width=1284)
    > >                                        ->  Gather
    > (cost=3068.58..19793.93
    > > rows=1 width=5014)
    > >                                              Workers Planned: 2
    > >                                              ->  Parallel Bitmap Heap
    > Scan
    > > on par_6  (cost=2068.58..18793.83 rows=1 width=5014)
    > >                                                    Recheck Cond:
    > > <<CONDITION>>
    > >                                                    Filter: <<CONDITION>>
    > >                                                    ->  BitmapAnd
    > > (cost=2068.58..2068.58 rows=30955 width=0)
    > >                                                          ->  BitmapOr
    > > (cost=999.30..999.30 rows=42989 width=0)
    > >                                                                ->  Bitmap
    > > Index Scan on par_6_datasource  (cost=0.00..990.21 rows=42922 width=0)
    > >
    > Index
    > > Cond: ((datasource)::text = 'one'::text)
    > >                                                                ->  Bitmap
    > > Index Scan on par_6_datasource  (cost=0.00..4.30 rows=1 width=0)
    > >
    > Index
    > > Cond: ((datasource)::text = 'two'::text)
    > >                                                                ->  Bitmap
    > > Index Scan on par_6_datasource  (cost=0.00..4.79 rows=67 width=0)
    > >
    > Index
    > > Cond: ((datasource)::text = 'three'::text)
    > >                                                          ->  Bitmap Index
    > > Scan on par_6_rangestart  (cost=0.00..1069.02 rows=47564 width=0)
    > >                                                                Index
    > Cond:
    > > (rangestart >= '2017-01-01 00:00:00+01'::timestamp with time zone)
    > >                                  ->  Subquery Scan on "*SELECT* 3"
    > > (cost=761.33..7944.99 rows=1 width=1086)
    > >                                        ->  Bitmap Heap Scan on par_7
    > > (cost=761.33..7944.98 rows=1 width=4816)
    > >                                                    Recheck Cond:
    > > <<CONDITION>>
    > >                                                    Filter: <<CONDITION>>
    > >                                              ->  BitmapAnd
    > > (cost=761.33..761.33 rows=7045 width=0)
    > >                                                    ->  Bitmap Index Scan
    > on
    > > par_7_rangestart  (cost=0.00..380.35 rows=14942 width=0)
    > >                                                          Index Cond:
    > > (rangestart >= '2017-01-01 00:00:00+01'::timestamp with time zone)
    > >                                                    ->  BitmapOr
    > > (cost=380.72..380.72 rows=12248 width=0)
    > >                                                          ->  Bitmap Index
    > > Scan on par_7_datasource  (cost=0.00..372.00 rows=12228 width=0)
    > >                                                                Index
    > Cond:
    > > ((datasource)::text = 'one'::text)
    > >                                                          ->  Bitmap Index
    > > Scan on par_7_datasource  (cost=0.00..4.36 rows=10 width=0)
    > >                                                                Index
    > Cond:
    > > ((datasource)::text = 'two'::text)
    > >                                                          ->  Bitmap Index
    > > Scan on par_7_datasource  (cost=0.00..4.36 rows=10 width=0)
    > >                                                                Index
    > Cond:
    > > ((datasource)::text = 'three'::text)
    > >
    > > ....
    > >
    > >
    > > In this particular query there were over _100_ partitions connected with
    > the
    > > UNION ALL operator.
    >
    > Ah, so you have many Gather nodes under Append?  That's one way to eat
    > arbitrarily many DSM slots.  We allow for 64 + 2 * max_backends.  Does
    > it help if you increase max_connections?  I am concerned about the
    > crash failure mode you mentioned in the first email though: we should
    > always be able to handle that condition gracefully.
    >
    > --
    > Thomas Munro
    > http://www.enterprisedb.com
    >
    
  7. Re: ERROR: too many dynamic shared memory segments

    Thomas Munro <thomas.munro@enterprisedb.com> — 2017-11-27T22:48:54Z

    On Tue, Nov 28, 2017 at 10:05 AM, Jakub Glapa <jakub.glapa@gmail.com> wrote:
    > As for the crash. I dug up the initial log and it looks like a segmentation
    > fault...
    >
    > 2017-11-23 07:26:53 CET:192.168.10.83(35238):user@db:[30003]: ERROR:  too
    > many dynamic shared memory segments
    
    Hmm.  Well this error can only occur in dsm_create() called without
    DSM_CREATE_NULL_IF_MAXSEGMENTS.  parallel.c calls it with that flag
    and dsa.c doesn't (perhaps it should, not sure, but that'd just change
    the error message), so that means this the error arose from dsa.c
    trying to get more segments.  That would be when Parallel Bitmap Heap
    Scan tried to allocate memory.
    
    I hacked my copy of PostgreSQL so that it allows only 5 DSM slots and
    managed to reproduce a segv crash by trying to run concurrent Parallel
    Bitmap Heap Scans.  The stack looks like this:
    
      * frame #0: 0x00000001083ace29
    postgres`alloc_object(area=0x0000000000000000, size_class=10) + 25 at
    dsa.c:1433
        frame #1: 0x00000001083acd14
    postgres`dsa_allocate_extended(area=0x0000000000000000, size=72,
    flags=4) + 1076 at dsa.c:785
        frame #2: 0x0000000108059c33
    postgres`tbm_prepare_shared_iterate(tbm=0x00007f9743027660) + 67 at
    tidbitmap.c:780
        frame #3: 0x0000000108000d57
    postgres`BitmapHeapNext(node=0x00007f9743019c88) + 503 at
    nodeBitmapHeapscan.c:156
        frame #4: 0x0000000107fefc5b
    postgres`ExecScanFetch(node=0x00007f9743019c88,
    accessMtd=(postgres`BitmapHeapNext at nodeBitmapHeapscan.c:77),
    recheckMtd=(postgres`BitmapHeapRecheck at nodeBitmapHeapscan.c:710)) +
    459 at execScan.c:95
        frame #5: 0x0000000107fef983
    postgres`ExecScan(node=0x00007f9743019c88,
    accessMtd=(postgres`BitmapHeapNext at nodeBitmapHeapscan.c:77),
    recheckMtd=(postgres`BitmapHeapRecheck at nodeBitmapHeapscan.c:710)) +
    147 at execScan.c:162
        frame #6: 0x00000001080008d1
    postgres`ExecBitmapHeapScan(pstate=0x00007f9743019c88) + 49 at
    nodeBitmapHeapscan.c:735
    
    (lldb) f 3
    frame #3: 0x0000000108000d57
    postgres`BitmapHeapNext(node=0x00007f9743019c88) + 503 at
    nodeBitmapHeapscan.c:156
       153 * dsa_pointer of the iterator state which will be used by
       154 * multiple processes to iterate jointly.
       155 */
    -> 156 pstate->tbmiterator = tbm_prepare_shared_iterate(tbm);
       157 #ifdef USE_PREFETCH
       158 if (node->prefetch_maximum > 0)
       159
    (lldb) print tbm->dsa
    (dsa_area *) $3 = 0x0000000000000000
    (lldb) print node->ss.ps.state->es_query_dsa
    (dsa_area *) $5 = 0x0000000000000000
    (lldb) f 17
    frame #17: 0x000000010800363b
    postgres`ExecGather(pstate=0x00007f9743019320) + 635 at
    nodeGather.c:220
       217 * Get next tuple, either from one of our workers, or by running the plan
       218 * ourselves.
       219 */
    -> 220 slot = gather_getnext(node);
       221 if (TupIsNull(slot))
       222 return NULL;
       223
    (lldb) print *node->pei
    (ParallelExecutorInfo) $8 = {
      planstate = 0x00007f9743019640
      pcxt = 0x00007f97450001b8
      buffer_usage = 0x0000000108b7e218
      instrumentation = 0x0000000108b7da38
      area = 0x0000000000000000
      param_exec = 0
      finished = '\0'
      tqueue = 0x0000000000000000
      reader = 0x0000000000000000
    }
    (lldb) print *node->pei->pcxt
    warning: could not load any Objective-C class information. This will
    significantly reduce the quality of type information available.
    (ParallelContext) $9 = {
      node = {
        prev = 0x000000010855fb60
        next = 0x000000010855fb60
      }
      subid = 1
      nworkers = 0
      nworkers_launched = 0
      library_name = 0x00007f9745000248 "postgres"
      function_name = 0x00007f9745000268 "ParallelQueryMain"
      error_context_stack = 0x0000000000000000
      estimator = (space_for_chunks = 180352, number_of_keys = 19)
      seg = 0x0000000000000000
      private_memory = 0x0000000108b53038
      toc = 0x0000000108b53038
      worker = 0x0000000000000000
    }
    
    I think there are two failure modes: one of your sessions showed the
    "too many ..." error (that's good, ran out of slots and said so and
    our error machinery worked as it should), and another crashed with a
    segfault, because it tried to use a NULL "area" pointer (bad).  I
    think this is a degenerate case where we completely failed to launch
    parallel query, but we ran the parallel query plan anyway and this
    code thinks that the DSA is available.  Oops.
    
    -- 
    Thomas Munro
    http://www.enterprisedb.com
    
    
    
  8. Re: ERROR: too many dynamic shared memory segments

    Dilip Kumar <dilipbalaut@gmail.com> — 2017-11-28T07:32:56Z

    On Tue, Nov 28, 2017 at 4:18 AM, Thomas Munro <thomas.munro@enterprisedb.com
    > wrote:
    
    > On Tue, Nov 28, 2017 at 10:05 AM, Jakub Glapa <jakub.glapa@gmail.com>
    > wrote:
    > > As for the crash. I dug up the initial log and it looks like a
    > segmentation
    > > fault...
    > >
    > > 2017-11-23 07:26:53 CET:192.168.10.83(35238):user@db:[30003]: ERROR:
    > too
    > > many dynamic shared memory segments
    >
    > I think there are two failure modes: one of your sessions showed the
    > "too many ..." error (that's good, ran out of slots and said so and
    > our error machinery worked as it should), and another crashed with a
    > segfault, because it tried to use a NULL "area" pointer (bad).  I
    > think this is a degenerate case where we completely failed to launch
    > parallel query, but we ran the parallel query plan anyway and this
    > code thinks that the DSA is available.  Oops.
    >
    
     I think BitmapHeapScan check whether dsa is valid or not if DSA is not
    valid then it should assume it's non-parallel plan.
    
    Attached patch should fix the issue.
    
    -- 
    Regards,
    Dilip Kumar
    EnterpriseDB: http://www.enterprisedb.com
    
  9. Re: ERROR: too many dynamic shared memory segments

    Robert Haas <robertmhaas@gmail.com> — 2017-11-28T13:43:45Z

    On Tue, Nov 28, 2017 at 2:32 AM, Dilip Kumar <dilipbalaut@gmail.com> wrote:
    >  I think BitmapHeapScan check whether dsa is valid or not if DSA is not
    > valid then it should assume it's non-parallel plan.
    >
    > Attached patch should fix the issue.
    
    So, create the pstate and then pretend we didn't?  Why not just avoid
    creating it in the first place, like this?
    
    I haven't checked whether this fixes the bug, but if it does, we can
    avoid introducing an extra branch in BitmapHeapNext.
    
    -- 
    Robert Haas
    EnterpriseDB: http://www.enterprisedb.com
    The Enterprise PostgreSQL Company
    
  10. Re: ERROR: too many dynamic shared memory segments

    Dilip Kumar <dilipbalaut@gmail.com> — 2017-11-28T14:45:09Z

    On Tue, Nov 28, 2017 at 7:13 PM, Robert Haas <robertmhaas@gmail.com> wrote:
    
    > On Tue, Nov 28, 2017 at 2:32 AM, Dilip Kumar <dilipbalaut@gmail.com>
    > wrote:
    > >  I think BitmapHeapScan check whether dsa is valid or not if DSA is not
    > > valid then it should assume it's non-parallel plan.
    > >
    > > Attached patch should fix the issue.
    >
    > So, create the pstate and then pretend we didn't?  Why not just avoid
    > creating it in the first place, like this?
    >
    
    This is better way to fix it.
    
    >
    > I haven't checked whether this fixes the bug, but if it does, we can
    > avoid introducing an extra branch in BitmapHeapNext.
    
    
    With my test it's fixing the problem.
    
    -- 
    Regards,
    Dilip Kumar
    EnterpriseDB: http://www.enterprisedb.com
    
  11. Re: ERROR: too many dynamic shared memory segments

    Robert Haas <robertmhaas@gmail.com> — 2017-11-28T16:58:53Z

    On Tue, Nov 28, 2017 at 9:45 AM, Dilip Kumar <dilipbalaut@gmail.com> wrote:
    >> I haven't checked whether this fixes the bug, but if it does, we can
    >> avoid introducing an extra branch in BitmapHeapNext.
    >
    > With my test it's fixing the problem.
    
    I tested it some more and found that, for me, it PARTIALLY fixes the
    problem.  I tested like this:
    
    --- a/src/backend/access/transam/parallel.c
    +++ b/src/backend/access/transam/parallel.c
    @@ -279,7 +279,7 @@ InitializeParallelDSM(ParallelContext *pcxt)
          * parallelism than to fail outright.
          */
         segsize = shm_toc_estimate(&pcxt->estimator);
    -    if (pcxt->nworkers > 0)
    +    if (pcxt->nworkers > 0 && false)
             pcxt->seg = dsm_create(segsize, DSM_CREATE_NULL_IF_MAXSEGMENTS);
         if (pcxt->seg != NULL)
             pcxt->toc = shm_toc_create(PARALLEL_MAGIC,
    
    That turned out to produce more than one problem.  I find that the
    select_parallel test then fails like this:
    
    ERROR:  could not find key 18446744073709486082 in shm TOC at 0x10be98040
    
    The fix for that problem seems to be:
    
    --- a/src/backend/access/transam/parallel.c
    +++ b/src/backend/access/transam/parallel.c
    @@ -430,7 +430,8 @@ ReinitializeParallelDSM(ParallelContext *pcxt)
    
         /* Recreate error queues. */
         error_queue_space =
    -        shm_toc_lookup(pcxt->toc, PARALLEL_KEY_ERROR_QUEUE, false);
    +        shm_toc_lookup(pcxt->toc, PARALLEL_KEY_ERROR_QUEUE, true);
    +    Assert(pcxt->nworkers == 0 || error_queue_space != NULL);
         for (i = 0; i < pcxt->nworkers; ++i)
         {
             char       *start;
    
    With that fix in place, I then hit a crash in parallel bitmap heap
    scan.  After applying no-pstate.patch, which I just committed and
    back-patched to v10, then things look OK.  I'm going to apply the fix
    for the error_queue_space problem also.
    
    -- 
    Robert Haas
    EnterpriseDB: http://www.enterprisedb.com
    The Enterprise PostgreSQL Company
    
    
    
  12. Re: ERROR: too many dynamic shared memory segments

    Jakub Glapa <jakub.glapa@gmail.com> — 2017-12-04T12:18:38Z

    I see that the segfault is under active discussion but just wanted to ask
    if increasing the max_connections to mitigate the DSM slots shortage is the
    way to go?
    
    
    
    --
    regards,
    Jakub Glapa
    
    On Mon, Nov 27, 2017 at 11:48 PM, Thomas Munro <
    thomas.munro@enterprisedb.com> wrote:
    
    > On Tue, Nov 28, 2017 at 10:05 AM, Jakub Glapa <jakub.glapa@gmail.com>
    > wrote:
    > > As for the crash. I dug up the initial log and it looks like a
    > segmentation
    > > fault...
    > >
    > > 2017-11-23 07:26:53 CET:192.168.10.83(35238):user@db:[30003]: ERROR:
    > too
    > > many dynamic shared memory segments
    >
    > Hmm.  Well this error can only occur in dsm_create() called without
    > DSM_CREATE_NULL_IF_MAXSEGMENTS.  parallel.c calls it with that flag
    > and dsa.c doesn't (perhaps it should, not sure, but that'd just change
    > the error message), so that means this the error arose from dsa.c
    > trying to get more segments.  That would be when Parallel Bitmap Heap
    > Scan tried to allocate memory.
    >
    > I hacked my copy of PostgreSQL so that it allows only 5 DSM slots and
    > managed to reproduce a segv crash by trying to run concurrent Parallel
    > Bitmap Heap Scans.  The stack looks like this:
    >
    >   * frame #0: 0x00000001083ace29
    > postgres`alloc_object(area=0x0000000000000000, size_class=10) + 25 at
    > dsa.c:1433
    >     frame #1: 0x00000001083acd14
    > postgres`dsa_allocate_extended(area=0x0000000000000000, size=72,
    > flags=4) + 1076 at dsa.c:785
    >     frame #2: 0x0000000108059c33
    > postgres`tbm_prepare_shared_iterate(tbm=0x00007f9743027660) + 67 at
    > tidbitmap.c:780
    >     frame #3: 0x0000000108000d57
    > postgres`BitmapHeapNext(node=0x00007f9743019c88) + 503 at
    > nodeBitmapHeapscan.c:156
    >     frame #4: 0x0000000107fefc5b
    > postgres`ExecScanFetch(node=0x00007f9743019c88,
    > accessMtd=(postgres`BitmapHeapNext at nodeBitmapHeapscan.c:77),
    > recheckMtd=(postgres`BitmapHeapRecheck at nodeBitmapHeapscan.c:710)) +
    > 459 at execScan.c:95
    >     frame #5: 0x0000000107fef983
    > postgres`ExecScan(node=0x00007f9743019c88,
    > accessMtd=(postgres`BitmapHeapNext at nodeBitmapHeapscan.c:77),
    > recheckMtd=(postgres`BitmapHeapRecheck at nodeBitmapHeapscan.c:710)) +
    > 147 at execScan.c:162
    >     frame #6: 0x00000001080008d1
    > postgres`ExecBitmapHeapScan(pstate=0x00007f9743019c88) + 49 at
    > nodeBitmapHeapscan.c:735
    >
    > (lldb) f 3
    > frame #3: 0x0000000108000d57
    > postgres`BitmapHeapNext(node=0x00007f9743019c88) + 503 at
    > nodeBitmapHeapscan.c:156
    >    153 * dsa_pointer of the iterator state which will be used by
    >    154 * multiple processes to iterate jointly.
    >    155 */
    > -> 156 pstate->tbmiterator = tbm_prepare_shared_iterate(tbm);
    >    157 #ifdef USE_PREFETCH
    >    158 if (node->prefetch_maximum > 0)
    >    159
    > (lldb) print tbm->dsa
    > (dsa_area *) $3 = 0x0000000000000000
    > (lldb) print node->ss.ps.state->es_query_dsa
    > (dsa_area *) $5 = 0x0000000000000000
    > (lldb) f 17
    > frame #17: 0x000000010800363b
    > postgres`ExecGather(pstate=0x00007f9743019320) + 635 at
    > nodeGather.c:220
    >    217 * Get next tuple, either from one of our workers, or by running the
    > plan
    >    218 * ourselves.
    >    219 */
    > -> 220 slot = gather_getnext(node);
    >    221 if (TupIsNull(slot))
    >    222 return NULL;
    >    223
    > (lldb) print *node->pei
    > (ParallelExecutorInfo) $8 = {
    >   planstate = 0x00007f9743019640
    >   pcxt = 0x00007f97450001b8
    >   buffer_usage = 0x0000000108b7e218
    >   instrumentation = 0x0000000108b7da38
    >   area = 0x0000000000000000
    >   param_exec = 0
    >   finished = '\0'
    >   tqueue = 0x0000000000000000
    >   reader = 0x0000000000000000
    > }
    > (lldb) print *node->pei->pcxt
    > warning: could not load any Objective-C class information. This will
    > significantly reduce the quality of type information available.
    > (ParallelContext) $9 = {
    >   node = {
    >     prev = 0x000000010855fb60
    >     next = 0x000000010855fb60
    >   }
    >   subid = 1
    >   nworkers = 0
    >   nworkers_launched = 0
    >   library_name = 0x00007f9745000248 "postgres"
    >   function_name = 0x00007f9745000268 "ParallelQueryMain"
    >   error_context_stack = 0x0000000000000000
    >   estimator = (space_for_chunks = 180352, number_of_keys = 19)
    >   seg = 0x0000000000000000
    >   private_memory = 0x0000000108b53038
    >   toc = 0x0000000108b53038
    >   worker = 0x0000000000000000
    > }
    >
    > I think there are two failure modes: one of your sessions showed the
    > "too many ..." error (that's good, ran out of slots and said so and
    > our error machinery worked as it should), and another crashed with a
    > segfault, because it tried to use a NULL "area" pointer (bad).  I
    > think this is a degenerate case where we completely failed to launch
    > parallel query, but we ran the parallel query plan anyway and this
    > code thinks that the DSA is available.  Oops.
    >
    > --
    > Thomas Munro
    > http://www.enterprisedb.com
    >
    
  13. Re: ERROR: too many dynamic shared memory segments

    Thomas Munro <thomas.munro@enterprisedb.com> — 2017-12-07T21:30:47Z

    On Tue, Dec 5, 2017 at 1:18 AM, Jakub Glapa <jakub.glapa@gmail.com> wrote:
    > I see that the segfault is under active discussion but just wanted to ask if
    > increasing the max_connections to mitigate the DSM slots shortage is the way
    > to go?
    
    Hi Jakub,
    
    Yes.  In future releases this situation will improve (maybe we'll
    figure out how to use one DSM segment for all the gather nodes in your
    query plan, and maybe it'll be moot anyway because maybe we'll be able
    to use a Parallel Append for queries like yours so that it uses the
    same set of workers over all the child plans instead of the
    fork()-fest you're presumably seeing).  For now your only choice, if
    you want that plan to run, is to crank up max_connections so that the
    total number of concurrently executing Gather nodes is less than about
    64 + 2 * max_connections.  There is also a crash bug right now in the
    out-of-slots case as discussed, fixed in the next point release, but
    even with that fix in place you'll still need a high enough
    max_connections setting to be sure to be able to complete the query
    without an error.
    
    Thanks for the report!
    
    -- 
    Thomas Munro
    http://www.enterprisedb.com
    
    
    
  14. Re: ERROR: too many dynamic shared memory segments

    Jakub Glapa <jakub.glapa@gmail.com> — 2017-12-08T07:59:07Z

    Thank You Thomas!
    
    
    
    --
    regards,
    Jakub Glapa
    
    On Thu, Dec 7, 2017 at 10:30 PM, Thomas Munro <thomas.munro@enterprisedb.com
    > wrote:
    
    > On Tue, Dec 5, 2017 at 1:18 AM, Jakub Glapa <jakub.glapa@gmail.com> wrote:
    > > I see that the segfault is under active discussion but just wanted to
    > ask if
    > > increasing the max_connections to mitigate the DSM slots shortage is the
    > way
    > > to go?
    >
    > Hi Jakub,
    >
    > Yes.  In future releases this situation will improve (maybe we'll
    > figure out how to use one DSM segment for all the gather nodes in your
    > query plan, and maybe it'll be moot anyway because maybe we'll be able
    > to use a Parallel Append for queries like yours so that it uses the
    > same set of workers over all the child plans instead of the
    > fork()-fest you're presumably seeing).  For now your only choice, if
    > you want that plan to run, is to crank up max_connections so that the
    > total number of concurrently executing Gather nodes is less than about
    > 64 + 2 * max_connections.  There is also a crash bug right now in the
    > out-of-slots case as discussed, fixed in the next point release, but
    > even with that fix in place you'll still need a high enough
    > max_connections setting to be sure to be able to complete the query
    > without an error.
    >
    > Thanks for the report!
    >
    > --
    > Thomas Munro
    > http://www.enterprisedb.com
    >
    
  15. Re: ERROR: too many dynamic shared memory segments

    Tom Lane <tgl@sss.pgh.pa.us> — 2018-02-02T20:01:15Z

    Robert Haas <robertmhaas@gmail.com> writes:
    > That turned out to produce more than one problem.  I find that the
    > select_parallel test then fails like this:
    > ERROR:  could not find key 18446744073709486082 in shm TOC at 0x10be98040
    > The fix for that problem seems to be:
    
    >      /* Recreate error queues. */
    >      error_queue_space =
    > -        shm_toc_lookup(pcxt->toc, PARALLEL_KEY_ERROR_QUEUE, false);
    > +        shm_toc_lookup(pcxt->toc, PARALLEL_KEY_ERROR_QUEUE, true);
    > +    Assert(pcxt->nworkers == 0 || error_queue_space != NULL);
    
    I happened across this patch while preparing the release notes, and
    I'm quite distressed by it, because it completely breaks the point
    of what I'd done in commit d46633506 (to wit, to not just blindly
    assume, nor just Assert, that shm_toc_lookup always succeeds).
    Do you mind if I change that Assert to a run-time test?
    
    			regards, tom lane
    
    
    
  16. Re: ERROR: too many dynamic shared memory segments

    Robert Haas <robertmhaas@gmail.com> — 2018-02-02T20:19:49Z

    On Fri, Feb 2, 2018 at 3:01 PM, Tom Lane <tgl@sss.pgh.pa.us> wrote:
    > Robert Haas <robertmhaas@gmail.com> writes:
    >> That turned out to produce more than one problem.  I find that the
    >> select_parallel test then fails like this:
    >> ERROR:  could not find key 18446744073709486082 in shm TOC at 0x10be98040
    >> The fix for that problem seems to be:
    >
    >>      /* Recreate error queues. */
    >>      error_queue_space =
    >> -        shm_toc_lookup(pcxt->toc, PARALLEL_KEY_ERROR_QUEUE, false);
    >> +        shm_toc_lookup(pcxt->toc, PARALLEL_KEY_ERROR_QUEUE, true);
    >> +    Assert(pcxt->nworkers == 0 || error_queue_space != NULL);
    >
    > I happened across this patch while preparing the release notes, and
    > I'm quite distressed by it, because it completely breaks the point
    > of what I'd done in commit d46633506 (to wit, to not just blindly
    > assume, nor just Assert, that shm_toc_lookup always succeeds).
    > Do you mind if I change that Assert to a run-time test?
    
    Hrm, I guess I could have done something like
    shm_toc_lookup(pcxt->toc, PARALLEL_KEY_ERROR_QUEUE, (pcxt->nworkers ==
    0)).
    
    I don't mind much if you change it, but I will note that for the
    record, before d46633506, we had a theoretical source of bugs, whereas
    after that commit, we had a bug. 445dbd82a fixed that; if you change
    this around again, please take care not to make it buggy again.
    Otherwise, I'll be the one who is quite distressed.  :-)
    
    -- 
    Robert Haas
    EnterpriseDB: http://www.enterprisedb.com
    The Enterprise PostgreSQL Company
    
    
    
  17. Re: ERROR: too many dynamic shared memory segments

    Tom Lane <tgl@sss.pgh.pa.us> — 2018-02-02T20:56:56Z

    Robert Haas <robertmhaas@gmail.com> writes:
    > On Fri, Feb 2, 2018 at 3:01 PM, Tom Lane <tgl@sss.pgh.pa.us> wrote:
    >> Do you mind if I change that Assert to a run-time test?
    
    > Hrm, I guess I could have done something like
    > shm_toc_lookup(pcxt->toc, PARALLEL_KEY_ERROR_QUEUE, (pcxt->nworkers ==
    > 0)).
    
    OK, that'd work too.  I'll make it so.
    
    			regards, tom lane