A global index by very definition is a single index on the parent table that maps to many underlying table partitions. The parent table itself does not have any underlying storage, so it must, therefore, retrieve the data satisfying index constraints from the underlying tables. In very crude terms, it is an accumulation of data from table partitions so that data spanning across multiple partitions are accessed in one go as opposed to individually querying each partition. For the initial version of this work, we are only considering to build b-tree global indexes. - Partitioned Index (Index Partitioning) When global indexes become too large, then those are partitioned to keep the performance and maintenance overhead manageable. These are not within the scope of this work. - Local Index A local index is an index that is local to a specific table partition; i.e. it doesn’t span across multiple partitions. So, when we create an index on a parent table, it will create a separate index for all its partitions. Unfortunately, PostgreSQL uses the terminology of “partitioned index” when it refers to local indexes. This work with fix this terminology for PostgreSQL so that the nomenclature remains consistent with other DBMS. - Why We Need Global Index? A global index is expected to give two very important upgrades to the partitioning feature set in PostgreSQL. It is expected to give a significant improvement in read-performance for queries targeting multiple local indexes of partitions. It also adds a unique constraint across partitions. - Unique Constraint Data uniqueness is a critical requirement for building an index. For global indexes that span across multiple partitions, uniqueness will have to be enforced on index column(s). This effectively translates into a unique constraint. - Performance Currently, the pseudo index created on the parent table of partitions does not contain any data. Rather, it dereferences to the local indexes when an index search is required. This means that multiple indexes will have to be evaluated and data to be combined thereafter. However, with the global indexes, data will reside with global index declared on the parent table. This avoids the need for multi-level index lookups. So read performance is expected to be significantly higher in cases. There will however be a negative performance impact during write (insert/update) of data. This is discussed in more detail later on. - Creating a GLOBAL Index - Syntax A global index may be created with the addition of a “GLOBAL” keyword to the index statement. Alternatively, one could specify the “LOCAL” keyword to create local indexes on partitions. We are suggesting to call this set of keywords: “partition_index_type”. By default, partition_index_type will be set as LOCAL. Here is a sample of the create index syntax. CREATE Index idx parent (columns) [GLOBAL | LOCAL]; Note: There is no shift/reduced by adding these options. - Pointing Index to Tuple Currently, CTID carries a page and offset information for a known heap (table name). However, in the context of global indexes, this information within an index is insufficient. Since the index is expected to carry tuples from multiple partitions (heaps), CTID alone will not be able to link an index node to a tuple. This requires carrying additional data for the heap name to be stored with each index node. How this should be implemented is a point to be discussed. A few possibilities are listed below: -- Expand CTID to include a relfilenode id. In PostgreSQL-Conf Asia, Bruce suggested having the OID instead of relfilenode as relfilenode can be duplicated across tablespaces. -- Using OID introduces another complication where we would need to query catalog for OID to heap mapping. -- The second option is to have a variable-length CTID. We can reserve some top-level bit for segregation of Global CTID or Standard CTID. Robert Haas suggested in PostgreSQL-EU to discuss this with Peter Geoghegan. -- I discussed it with Peter and he believes that it is a very invasive approach that requires a whole lot of the effort to get committed. -- Heikki pointed me to include heap specific information using the INCLUDE keyword so that heap information is stored with each index node as data. -- We (Peter and I) also discussed that option and this looks a more easy and non-invasive option. - Optimizer The challenge with optimizer is a selection between local and global indexes when both are present. How do we: -- Evaluate the cost of scanning a global index? -- When should the LOCAL index be preferred over the GLOBAL index and vice versa? -- Should we hit a GLOBAL index when the query is targeting a couple of partitions only? -- We need to consider the sizes of those partitions being hit and the sizes of partitions not being hit. -- Bruce suggested that we prioritize a GLOBAL index in the first version so that in every case, the GLOBAL index is utilized. - Write Performance and Vacuum There will be some write performance degradation because every change in partition tables must propagate upwards to the GLOBAL index on the parent table. This can be thought of as another index on a table, however, the [slight] performance degradation will be due to the fact that the GLOBAL index may carry a much bigger dataset with data from multiple partitions resulting in a higher tree traversal and update time. This applies to both write and vacuum processes. It is still an open question though on how this will be handled within the code and how we can better optimize this process. I have a POC patch and working on finalizing the patch, Hamid Akhtar is also working with me on this work. -- Ibrar Ahmed |
Ibrar Ahmed <[hidden email]> writes:
> A global index by very definition is a single index on the parent table > that maps to many > underlying table partitions. I believe that the current design of partitioning is explicitly intended to avoid the need for such a construct. It'd be absolutely disastrous to have such a thing from many standpoints, including the breadth of locking needed to work with the global index, the difficulty of vacuuming, and the impossibility of cheaply attaching or detaching partitions. In other words, this is a "feature" we do not want. regards, tom lane |
On Wed, Oct 30, 2019 at 10:13 AM Tom Lane <[hidden email]> wrote:
> I believe that the current design of partitioning is explicitly intended > to avoid the need for such a construct. It'd be absolutely disastrous > to have such a thing from many standpoints, including the breadth of > locking needed to work with the global index, the difficulty of vacuuming, > and the impossibility of cheaply attaching or detaching partitions. > > In other words, this is a "feature" we do not want. I don't think that's true. Certainly, a lot of EnterpriseDB customers want this feature - it comes up regularly in discussions here. But that is not to say that the technical challenges are not formidable, and I don't think this proposal really grapples with any of them. However, that doesn't mean that the feature isn't desirable. One of the biggest reasons why people want it is to enforce uniqueness for secondary keys - e.g. the employees table is partitioned by employee ID, but SSN should also be unique, at least among employees for whom it's not NULL. But people also want it for faster data retrieval: if you're looking for a commonly-occurring value, an index per partition is fine. But if you're looking for values that occur only once or a few times across the whole hierarchy, an index scan per partition is very costly. Consider, e.g.: Nested Loop -> Seq Scan -> Append -> Index Scan on each_partition You don't have to have very many partitions for that to suck, and it's a thing that people want to do. Runtime partition pruning helps with this case a lot, but, once again, only for the primary key. Secondary keys are a big problem for partitioning today, in many ways. -- Robert Haas EnterpriseDB: http://www.enterprisedb.com The Enterprise PostgreSQL Company |
Robert Haas <[hidden email]> writes:
> On Wed, Oct 30, 2019 at 10:13 AM Tom Lane <[hidden email]> wrote: >> I believe that the current design of partitioning is explicitly intended >> to avoid the need for such a construct. It'd be absolutely disastrous >> to have such a thing from many standpoints, including the breadth of >> locking needed to work with the global index, the difficulty of vacuuming, >> and the impossibility of cheaply attaching or detaching partitions. >> In other words, this is a "feature" we do not want. > I don't think that's true. Certainly, a lot of EnterpriseDB customers > want this feature - it comes up regularly in discussions here. But > that is not to say that the technical challenges are not formidable, > and I don't think this proposal really grapples with any of them. > However, that doesn't mean that the feature isn't desirable. Well, the *effects* of the feature seem desirable, but that doesn't mean that we want an implementation that actually has a shared index. As soon as you do that, you've thrown away most of the benefits of having a partitioned data structure in the first place. No, I don't have an idea how we might support, eg, uniqueness of non-partition-key columns without that. But we need to spend our effort on figuring that out, not on building a complicated mechanism whose performance is never going to not suck. regards, tom lane |
On Wed, Oct 30, 2019 at 9:23 AM Tom Lane <[hidden email]> wrote:
> Well, the *effects* of the feature seem desirable, but that doesn't > mean that we want an implementation that actually has a shared index. > As soon as you do that, you've thrown away most of the benefits of > having a partitioned data structure in the first place. Right, but that's only the case for the global index. Global indexes are useful when used judiciously. They enable the use of partitioning for use cases where not being able to enforce uniqueness across all partitions happens to be a deal breaker. I bet that this is fairly common. > No, I don't have an idea how we might support, eg, uniqueness of > non-partition-key columns without that. But we need to spend our > effort on figuring that out, not on building a complicated mechanism > whose performance is never going to not suck. I don't think that there is a way to solve the problem that doesn't look very much like a global index. Also, being able to push down a partition number when scanning a global index seems like it would be very compelling in some scenarios. I'm a bit worried about the complexity that will need to be added to nbtree to make global indexes work, but it's probably possible to come up with something that isn't too bad. GIN already uses an implementation level attribute number column for multi-column GIN indexes, which is a little like what Ibrar has in mind. The really complicated new code required for global indexes will be in places like vacuumlazy.c. -- Peter Geoghegan |
Peter Geoghegan <[hidden email]> writes:
> On Wed, Oct 30, 2019 at 9:23 AM Tom Lane <[hidden email]> wrote: >> Well, the *effects* of the feature seem desirable, but that doesn't >> mean that we want an implementation that actually has a shared index. >> As soon as you do that, you've thrown away most of the benefits of >> having a partitioned data structure in the first place. > Right, but that's only the case for the global index. Global indexes > are useful when used judiciously. But ... why bother with partitioning then? To me, the main reasons why you might want a partitioned table are * ability to cheaply add and remove partitions, primarily so that you can cheaply do things like "delete the oldest month's data". * ability to scale past our limits on the physical size of one table --- both the hard BlockNumber-based limit, and the performance constraints of e.g. vacuuming a very large table. Both of those go out the window with a global index. So you might as well just have one table and forget all the overhead. regards, tom lane |
Hi,
On 2019-10-30 13:05:57 -0400, Tom Lane wrote: > Peter Geoghegan <[hidden email]> writes: > > On Wed, Oct 30, 2019 at 9:23 AM Tom Lane <[hidden email]> wrote: > >> Well, the *effects* of the feature seem desirable, but that doesn't > >> mean that we want an implementation that actually has a shared index. > >> As soon as you do that, you've thrown away most of the benefits of > >> having a partitioned data structure in the first place. > > > Right, but that's only the case for the global index. Global indexes > > are useful when used judiciously. > > But ... why bother with partitioning then? To me, the main reasons > why you might want a partitioned table are Quite commonly there's a lot of *other* indexes, often on a lot wider data than the primary key, that don't need to be global. And whereas in a lot of cases the primary key in a partitioned table has pretty good locality (and thus will be mostly buffered IO), other indexes will often not have that property (i.e. not have much correlation with table position). > * ability to cheaply add and remove partitions, primarily so that > you can cheaply do things like "delete the oldest month's data". You can still do that to some degree with a global index. Imagine e.g. keeping a 'partition id' as a sort-of column in the global index. That allows you to drop the partition, without having to immediately rebuild the index, by checking the partition id against the live partitions during lookup. So sure, your'e wasting space for a bit in the global index, but it'll also be space that is likely to be fairly efficiently reclaimed the next time vacuum touches the index. And if not the global index can be rebuilt concurrently without blocking writes. > * ability to scale past our limits on the physical size of one table > --- both the hard BlockNumber-based limit, and the performance > constraints of e.g. vacuuming a very large table. For that to be a problem for a global index the global index (which will often be something like two int4 or int8 columns) itself would need to be above the block number based limit - which doesn't seem that close. WRT vacuuming - based on my observations the table itself isn't a performance problem for vacuuming all that commonly anymore, it's the associated index scans. So yea, that's a problem. Greetings, Andres Freund |
In reply to this post by Peter Geoghegan-4
Greetings,
* Peter Geoghegan ([hidden email]) wrote: > On Wed, Oct 30, 2019 at 9:23 AM Tom Lane <[hidden email]> wrote: > > Well, the *effects* of the feature seem desirable, but that doesn't > > mean that we want an implementation that actually has a shared index. > > As soon as you do that, you've thrown away most of the benefits of > > having a partitioned data structure in the first place. > > Right, but that's only the case for the global index. Global indexes > are useful when used judiciously. They enable the use of partitioning > for use cases where not being able to enforce uniqueness across all > partitions happens to be a deal breaker. I bet that this is fairly > common. considering using or migrating to PostgreSQL. Thanks, Stephen |
On Thu, 31 Oct 2019 at 14:50, Stephen Frost <[hidden email]> wrote: Greetings, [....]
Not sure how similar my situation really is, but I find myself wanting to have indices that cross non-partition members of an inheritance hierarchy: create table t ( id int, primary key (id) ); create table t1 ( a text ) inherits (t); create table t2 ( b int, c int ) inherits (t); So "t"s are identified by an integer; and one kind of "t" has a single text attribute while a different kind of "t" has 2 int attributes. The idea is that there is a single primary key constraint on the whole hierarchy that ensures only one record with a particular id can exist in all the tables together. I can imagine wanting to do this with other unique constraints also. At present I don't actually use inheritance; instead I put triggers on the child tables that do an insert on the parent table, which has the effect of enforcing the uniqueness I want. |
On Thu, Oct 31, 2019 at 03:02:40PM -0400, Isaac Morland wrote:
>On Thu, 31 Oct 2019 at 14:50, Stephen Frost <[hidden email]> wrote: > >> Greetings, >> >> * Peter Geoghegan ([hidden email]) wrote: >> >[....] > >> >> Absolutely- our lack of such is a common point of issue when folks are >> considering using or migrating to PostgreSQL. >> > >Not sure how similar my situation really is, but I find myself wanting to >have indices that cross non-partition members of an inheritance hierarchy: > >create table t ( > id int, > primary key (id) >); > >create table t1 ( > a text >) inherits (t); > >create table t2 ( > b int, > c int >) inherits (t); > >So "t"s are identified by an integer; and one kind of "t" has a single text >attribute while a different kind of "t" has 2 int attributes. The idea is >that there is a single primary key constraint on the whole hierarchy that >ensures only one record with a particular id can exist in all the tables >together. I can imagine wanting to do this with other unique constraints >also. > IMO the chances of us supporting global indexes with generic inheritance hierarchies are about zero. We don't even support creating "partition" indexes on those hierarchies ... >At present I don't actually use inheritance; instead I put triggers on the >child tables that do an insert on the parent table, which has the effect of >enforcing the uniqueness I want. Does it? Are you sure it actually works in READ COMMITTED? What exactly does the trigger do? regards -- Tomas Vondra http://www.2ndQuadrant.com PostgreSQL Development, 24x7 Support, Remote DBA, Training & Services |
In reply to this post by Andres Freund
On 10/30/19 10:27, Andres Freund wrote:
> On 2019-10-30 13:05:57 -0400, Tom Lane wrote: >> Peter Geoghegan <[hidden email]> writes: >>> On Wed, Oct 30, 2019 at 9:23 AM Tom Lane <[hidden email]> wrote: >>>> Well, the *effects* of the feature seem desirable, but that doesn't >>>> mean that we want an implementation that actually has a shared index. >>>> As soon as you do that, you've thrown away most of the benefits of >>>> having a partitioned data structure in the first place. >> >>> Right, but that's only the case for the global index. Global indexes >>> are useful when used judiciously. >> >> But ... why bother with partitioning then? To me, the main reasons >> why you might want a partitioned table are > > Quite commonly there's a lot of *other* indexes, often on a lot wider > data than the primary key, that don't need to be global. And whereas in > a lot of cases the primary key in a partitioned table has pretty good > locality (and thus will be mostly buffered IO), other indexes will often > not have that property (i.e. not have much correlation with table > position). I asked around a little bit and got some interesting responses. Thought I'd pass two of them along. One person worked on a payments network (150,000+ installed readers), the transaction table was date partitioned (1 per day) based on insert timestamp, but lookups and updates were typically by the unique transaction id. Oracle DB, they kept 180 daily partitions, several million rows per day. Transactions did not arrive in order, and could be delayed if some part of the network was slow (they opted to allow the $2 charge rather than reject sales) and when the cash transaction records were uploaded. Step one for their PG conversion created a read replica in PG 9.6, and the cost of doing the individual index lookups across 180 partitions (and 180 indexes) was very high, so they stored max and min txn id per partition and would generate a query with all the dates that a txn id could have been in so that only a small number of partition indexes would be accessed. They wanted a global index on txn id for performance, not for uniqueness – id generated on reader with guid-like semantics. A second person worked on several large-scale systems and he relayed that in some cases where they used Oracle global indexes on partitioned tables, they ended up deciding to reverse that decision as things scaled because of restrictive locking during partition maintenance (this is the exact issue Tom points out). So even on a database _with_ the option of using a global index, they've sometimes opted for "workaround" design patterns instead: * To solve uniqueness, manage serialization at the appliation level. Isolate operations (e.g. using a queue) and use that to make sure that two sessions don’t try to insert the same record at the same time. From an RDBMS, this looks like a separate, smaller table that is being used to manage work activity. * To solve the additional IO for a global table scan ... We often don’t need to do this because the load in this pattern is not typically highly concurrent. If we are looking for higher concurrency, we can usually add a hack/workaround that filters on a partition key to provide “pretty good” pruning. The net result is that you get 2-3x the IO due to the lack of global index (same workaround as first story above). Quote: "So ... I don’t actually like the idea of introducing this. Unless, someone can solve the ugly challenges we have had [around partition maintenance operations]." I actually don't think those challenges are so un-solvable. I think that global indexes will be irrelevant to most workloads. I'm not entirely convinced that they won't be useful for a few people with specific workloads and large amounts of data in PostgreSQL where the benefits outweigh the costs. I definitely agree that care needs to be taken around index maintenance operations if there's an effort here. >> * ability to cheaply add and remove partitions, primarily so that >> you can cheaply do things like "delete the oldest month's data". > > You can still do that to some degree with a global index. Imagine > e.g. keeping a 'partition id' as a sort-of column in the global > index. That allows you to drop the partition, without having to > immediately rebuild the index, by checking the partition id against the > live partitions during lookup. So sure, your'e wasting space for a bit > in the global index, but it'll also be space that is likely to be fairly > efficiently reclaimed the next time vacuum touches the index. And if > not the global index can be rebuilt concurrently without blocking > writes. Another idea might be to leverage PostgreSQL's partial indexes. If the index is created "where date>2020" and you're dropping an index from 2019 then you can entirely ignore the index. Not a panacea for every index maintenance operation, but for the super-common case of dropping the oldest partition you can now: 1) create new index concurrently "where dt>2020" 2) drop the old index 3) drop the 2019 partition doesn't solve world hunger but there's lots of benefit for such a simple hack. >> * ability to scale past our limits on the physical size of one table >> --- both the hard BlockNumber-based limit, and the performance >> constraints of e.g. vacuuming a very large table. > > For that to be a problem for a global index the global index (which will > often be something like two int4 or int8 columns) itself would need to > be above the block number based limit - which doesn't seem that close. > > WRT vacuuming - based on my observations the table itself isn't a > performance problem for vacuuming all that commonly anymore, it's the > associated index scans. So yea, that's a problem. I'm sure zheap will make all our dreams come true, right? :D -Jeremy -- Jeremy Schneider Database Engineer Amazon Web Services |
On 11/25/19 15:05, Jeremy Schneider wrote:
> ... the cost of doing the individual index lookups across 180 > partitions (and 180 indexes) was very high, so they stored max and min > txn id per partition and would generate a query with all the dates that > a txn id could have been in so that only a small number of partition > indexes would be accessed. > > .. If we are looking for higher concurrency, we can usually > add a hack/workaround that filters on a partition key to provide “pretty > good” pruning. The net result is that you get 2-3x the IO due to the > lack of global index (same workaround as first story above). Is that basically like a global BRIN index with granularity at the partition level? -J -- Jeremy Schneider Database Engineer Amazon Web Services |
On Mon, Nov 25, 2019 at 03:44:39PM -0800, Jeremy Schneider wrote:
> On 11/25/19 15:05, Jeremy Schneider wrote: > > ... the cost of doing the individual index lookups across 180 > > partitions (and 180 indexes) was very high, so they stored max and min > > txn id per partition and would generate a query with all the dates that > > a txn id could have been in so that only a small number of partition > > indexes would be accessed. > > > > .. If we are looking for higher concurrency, we can usually > > add a hack/workaround that filters on a partition key to provide “pretty > > good” pruning. The net result is that you get 2-3x the IO due to the > > lack of global index (same workaround as first story above). > > Is that basically like a global BRIN index with granularity at the > partition level? Exactly! :-) -- Bruce Momjian <[hidden email]> http://momjian.us EnterpriseDB http://enterprisedb.com + As you are, so once was I. As I am, so you will be. + + Ancient Roman grave inscription + |
On 19/12/19 4:03, Bruce Momjian wrote:
> On Mon, Nov 25, 2019 at 03:44:39PM -0800, Jeremy Schneider wrote: >> On 11/25/19 15:05, Jeremy Schneider wrote: >>> ... the cost of doing the individual index lookups across 180 >>> partitions (and 180 indexes) was very high, so they stored max and min >>> txn id per partition and would generate a query with all the dates that >>> a txn id could have been in so that only a small number of partition >>> indexes would be accessed. >>> >>> .. If we are looking for higher concurrency, we can usually >>> add a hack/workaround that filters on a partition key to provide “pretty >>> good” pruning. The net result is that you get 2-3x the IO due to the >>> lack of global index (same workaround as first story above). >> Is that basically like a global BRIN index with granularity at the >> partition level? > Exactly! :-) Actually, one "kind of" BRIN index *per partitioned table* mapping (key range) -> (partition oid)... and so concurrency doesn't need to be very affected. (we don't need to do things just like other RDBMS do, ya know... ;) IIRC, this precise approach was suggested around 2016 when initially discussing the "declarative partitioning" which originated Postgres' current partitioning scheme, in order to optimize partition pruning. Just my .02€ / J.L. |
On Thu, Dec 19, 2019 at 09:48:40AM +0100, Jose Luis Tallon wrote:
> On 19/12/19 4:03, Bruce Momjian wrote: > > On Mon, Nov 25, 2019 at 03:44:39PM -0800, Jeremy Schneider wrote: > > > On 11/25/19 15:05, Jeremy Schneider wrote: > > > > ... the cost of doing the individual index lookups across 180 > > > > partitions (and 180 indexes) was very high, so they stored max and min > > > > txn id per partition and would generate a query with all the dates that > > > > a txn id could have been in so that only a small number of partition > > > > indexes would be accessed. > > > > > > > > .. If we are looking for higher concurrency, we can usually > > > > add a hack/workaround that filters on a partition key to provide “pretty > > > > good” pruning. The net result is that you get 2-3x the IO due to the > > > > lack of global index (same workaround as first story above). > > > Is that basically like a global BRIN index with granularity at the > > > partition level? > > Exactly! :-) > > Actually, one "kind of" BRIN index *per partitioned table* mapping (key > range) -> (partition oid)... and so concurrency doesn't need to be very > affected. > > (we don't need to do things just like other RDBMS do, ya know... ;) > > > IIRC, this precise approach was suggested around 2016 when initially > discussing the "declarative partitioning" which originated Postgres' current > partitioning scheme, in order to optimize partition pruning. Robert Haas identified two needs for global indexes: https://www.postgresql.org/message-id/CA+Tgmob_J2M2+QKWrhg2NjQEkMEwZNTfd7a6Ubg34fJuZPkN2g@... One of the biggest reasons why people want it is to enforce uniqueness for secondary keys - e.g. the employees table is partitioned by employee ID, but SSN should also be unique, at least among employees for whom it's not NULL. But people also want it for faster data retrieval: if you're looking for a commonly-occurring value, an index per partition is fine. But if you're looking for values that occur only once or a few times across the whole hierarchy, an index scan per partition is very costly. I don't see lossy BRIN indexes helping with the uniqueness use-case, and I am not sure they would help with the rare case either. They would help for range-based partitions, but I thought our existing facilities worked in that case. -- Bruce Momjian <[hidden email]> http://momjian.us EnterpriseDB http://enterprisedb.com + As you are, so once was I. As I am, so you will be. + + Ancient Roman grave inscription + |
On 12/19/19 08:12, Bruce Momjian wrote:
> I don't see lossy BRIN indexes helping with the uniqueness use-case, and > I am not sure they would help with the rare case either. They would > help for range-based partitions, but I thought our existing facilities > worked in that case. Correlated data. The existing facilities work if the filtering column is exactly the same as the partition column. But it's not at all uncommon to have other columns with correlated data, perhaps the most obvious of which is timeseries tables with many date columns of various definitions (row first update, row latest update, invoice date, payment date, process date, ship date, etc). What if you could use *two* indexes in a single execution plan? Use the global BRIN to narrow down to 2 or 3 out of a hundred or more partitions, then use local indexes to find specific rows in the partitions of interest? That might work, without being too overly complicated. -J -- Jeremy Schneider Database Engineer Amazon Web Services |
On Thu, Dec 19, 2019 at 11:28:55AM -0800, Jeremy Schneider wrote:
> On 12/19/19 08:12, Bruce Momjian wrote: > > I don't see lossy BRIN indexes helping with the uniqueness use-case, and > > I am not sure they would help with the rare case either. They would > > help for range-based partitions, but I thought our existing facilities > > worked in that case. > > Correlated data. The existing facilities work if the filtering column > is exactly the same as the partition column. But it's not at all > uncommon to have other columns with correlated data, perhaps the most > obvious of which is timeseries tables with many date columns of various > definitions (row first update, row latest update, invoice date, payment > date, process date, ship date, etc). > > What if you could use *two* indexes in a single execution plan? Use the > global BRIN to narrow down to 2 or 3 out of a hundred or more > partitions, then use local indexes to find specific rows in the > partitions of interest? That might work, without being too overly > complicated. No, that is very interesting --- having secondary indexes for partitioned tables that trim most partitions. Would index lookups on each partition index be very slow? BRIN indexes? I am assuming global indexes would only avoid such lookups. -- Bruce Momjian <[hidden email]> http://momjian.us EnterpriseDB http://enterprisedb.com + As you are, so once was I. As I am, so you will be. + + Ancient Roman grave inscription + |
In reply to this post by Tom Lane-2
> On Oct 30, 2019, at 12:05 PM, Tom Lane <[hidden email]> wrote: > > But ... why bother with partitioning then? To me, the main reasons > why you might want a partitioned table are > > * ability to cheaply add and remove partitions, primarily so that > you can cheaply do things like "delete the oldest month's data". > > * ability to scale past our limits on the physical size of one table > --- both the hard BlockNumber-based limit, and the performance > constraints of e.g. vacuuming a very large table. A third case is data locality. In that case global indexes would be useful for queries that do not correlate will with hot data. > Both of those go out the window with a global index. So you might > as well just have one table and forget all the overhead. Partition pruning could still be valuable even with global indexes, provided that we teach vacuum how to clean up tuples in an index that point at a partition that has been deleted. |
I've been following this topic for a long time. It's been a year since the last response. It was clear that our customers wanted this feature as well, and a large number of them mentioned it. So, I wish the whole feature to mature as soon as possible. I summarized the scheme mentioned in the email and completed the POC patch(base on PG_13). Next, I encountered some difficulties when implementing the DDL of the partition table with global index, and I hope to get some help from the community Here are some details what has been implemented 1 Definition of global index Using the INCLUDE keyword to include the tableoid of the partitioned table. 2. Maintenance of global index by partition table DML. Both INSERT and UPDATE of a partitioned table maintain global index 3. Global index scan Planner: Processes predicate conditions on the primary partition, generating paths and plans for the global index. Executer: index scan get indextup, get the tableoid from indextup, and verify the visibility of the data in the partition. 4. Vacuum partition table maintains global index Each partitioned table VACUUM cleans its own garbage data in the global index. After the above function point is completed, the global index can be used without partition table DDL. Demo: --Use pgbench to create the test partition table pgbench -i -s 1000 --partitions=6 --partition-method=range —- create global index on bid, bid is not partition key CREATE INDEX idx_pgbench_accounts_bid on pgbench_accounts(bid) global; — check global index status select * , sum(alivetup) over()as sum_alivetup, sum(deadtup) over() as sum_deadtup from bt_get_global_index_status('idx_pgbench_accounts_bid'); relname | alivetup | deadtup | sum_alivetup | sum_deadtup --------------------+----------+---------+--------------+------------- pgbench_accounts_1 | 16666667 | 0 | 100000000 | 0 pgbench_accounts_2 | 16666667 | 0 | 100000000 | 0 pgbench_accounts_3 | 16666667 | 0 | 100000000 | 0 pgbench_accounts_4 | 16666667 | 0 | 100000000 | 0 pgbench_accounts_5 | 16666667 | 0 | 100000000 | 0 pgbench_accounts_6 | 16666665 | 0 | 100000000 | 0 (6 rows) — run pgbench for for a while pgbench -M prepared -j 32 -c 32 -T 60 -P1 —- check global index, The index has bloated postgres=# select * , sum(alivetup) over()as sum_alivetup, sum(deadtup) over() as sum_deadtup from bt_get_global_index_status('idx_pgbench_accounts_bid'); relname | alivetup | deadtup | sum_alivetup | sum_deadtup --------------------+----------+---------+--------------+------------- pgbench_accounts_1 | 16717733 | 0 | 100306102 | 0 pgbench_accounts_2 | 16717409 | 0 | 100306102 | 0 pgbench_accounts_3 | 16717540 | 0 | 100306102 | 0 pgbench_accounts_4 | 16717972 | 0 | 100306102 | 0 pgbench_accounts_5 | 16717578 | 0 | 100306102 | 0 pgbench_accounts_6 | 16717870 | 0 | 100306102 | 0 (6 rows) —- vacuum partition table vacuum pgbench_accounts; —- Garbage is collected, global index still looks correct and valid. postgres=# select * , sum(alivetup) over()as sum_alivetup, sum(deadtup) over() as sum_deadtup from bt_get_global_index_status('idx_pgbench_accounts_bid'); relname | alivetup | deadtup | sum_alivetup | sum_deadtup --------------------+----------+---------+--------------+------------- pgbench_accounts_1 | 16666667 | 0 | 100000000 | 0 pgbench_accounts_2 | 16666667 | 0 | 100000000 | 0 pgbench_accounts_3 | 16666667 | 0 | 100000000 | 0 pgbench_accounts_4 | 16666667 | 0 | 100000000 | 0 pgbench_accounts_5 | 16666667 | 0 | 100000000 | 0 pgbench_accounts_6 | 16666665 | 0 | 100000000 | 0 (6 rows) —- —- global index scan works well postgres=# select tableoid ,count(*) from pgbench_accounts where bid = 834 group by tableoid; tableoid | count ----------+------- 16455 | 33335 16458 | 66665 (2 rows) postgres=# explain select tableoid ,count(*) from pgbench_accounts where bid = 834 group by tableoid; QUERY PLAN -------------------------------------------------------------------------------------------------------------------- HashAggregate (cost=2945.23..2945.24 rows=1 width=12) Group Key: pgbench_accounts.tableoid -> Global Index Scan using idx_pgbench_accounts_bid on pgbench_accounts (cost=0.50..10.18 rows=587011 width=4) Index Cond: (bid = 834) (4 rows) The following is how to implement DDL of global index. How to maintain global index of DDL of partitioned table. This seems to be more difficult than the previous work. I understand there are four main parts 1 Build global index or reindex, especially in concurrent mode 2 Detach partition Would it be a good idea to make a flag to global index and let VACUUM handle the index data of the Detach partition? 3 Attach partition It is easy to Attach a new empty partition, but adding a new one with data is not. If there is a unique key conflict, do we slowly clean up the garbage or invalidate the entire index? 4 Truncate partition with global index Do we need to process the heap and index data separately in multiple transactions? This will lose the ability to roll back for Truncate operation. Is it worth it? Looking forward to your feedback. Thanks! Wenjing |
On Thu, Jan 7, 2021 at 05:44:01PM +0800, 曾文旌 wrote:
> I've been following this topic for a long time. It's been a year since the last response. > It was clear that our customers wanted this feature as well, and a large number of them mentioned it. > > So, I wish the whole feature to mature as soon as possible. > I summarized the scheme mentioned in the email and completed the POC patch(base on PG_13). I think you need to address the items mentioned in this blog, and the email link it mentions: https://momjian.us/main/blogs/pgblog/2020.html#July_1_2020 I am not clear this is a feature we will want. Yes, people ask for it, but if the experience will be bad for them and they will regret using it, I am not sure we want it. Of course, if you code it up and we get a good user experience, we would want it --- I am just saying it is not clear right now. -- Bruce Momjian <[hidden email]> https://momjian.us EnterpriseDB https://enterprisedb.com The usefulness of a cup is in its emptiness, Bruce Lee |
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