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* Fix worst memory leaks in tqueue.c.Tom Lane2016-07-29
| | | | | | | | | | | | | | | | | | | | | | | | | TupleQueueReaderNext() leaks like a sieve if it has to do any tuple disassembly/reconstruction. While we could try to clean up its allocations piecemeal, it seems like a better idea just to insist that it should be run in a short-lived memory context, so that any transient space goes away automatically. I chose to have nodeGather.c switch into its existing per-tuple context before the call, rather than inventing a separate context inside tqueue.c. This is sufficient to stop all leakage in the simple case I exhibited earlier today (see link below), but it does not deal with leaks induced in more complex cases by tqueue.c's insistence on using TopMemoryContext for data that it's not actually trying hard to keep track of. That issue is intertwined with another major source of inefficiency, namely failure to cache lookup results across calls, so it seems best to deal with it separately. In passing, improve some comments, and modify gather_readnext's method for deciding when it's visited all the readers so that it's more obviously correct. (I'm not actually convinced that the previous code *is* correct in the case of a reader deletion; it certainly seems fragile.) Discussion: <32763.1469821037@sss.pgh.pa.us>
* Update copyright for 2016Bruce Momjian2016-01-02
| | | | Backpatch certain files through 9.1
* Modify tqueue infrastructure to support transient record types.Robert Haas2015-11-06
| | | | | | | | | | | | | | | | | | | | | | | | | Commit 4a4e6893aa080b9094dadbe0e65f8a75fee41ac6, which introduced this mechanism, failed to account for the fact that the RECORD pseudo-type uses transient typmods that are only meaningful within a single backend. Transferring such tuples without modification between two cooperating backends does not work. This commit installs a system for passing the tuple descriptors over the same shm_mq being used to send the tuples themselves. The two sides might not assign the same transient typmod to any given tuple descriptor, so we must also substitute the appropriate receiver-side typmod for the one used by the sender. That adds some CPU overhead, but still seems better than being unable to pass records between cooperating parallel processes. Along the way, move the logic for handling multiple tuple queues from tqueue.c to nodeGather.c; tqueue.c now provides a TupleQueueReader, which reads from a single queue, rather than a TupleQueueFunnel, which potentially reads from multiple queues. This change was suggested previously as a way to make sure that nodeGather.c rather than tqueue.c had policy control over the order in which to read from queues, but it wasn't clear to me until now how good an idea it was. typmod mapping needs to be performed separately for each queue, and it is much simpler if the tqueue.c code handles that and leaves multiplexing multiple queues to higher layers of the stack.
* Glue layer to connect the executor to the shm_mq mechanism.Robert Haas2015-09-18
The shm_mq mechanism was built to send error (and notice) messages and tuples between backends. However, shm_mq itself only deals in raw bytes. Since commit 2bd9e412f92bc6a68f3e8bcb18e04955cc35001d, we have had infrastructure for one message to redirect protocol messages to a queue and for another backend to parse them and do useful things with them. This commit introduces a somewhat analogous facility for tuples by adding a new type of DestReceiver, DestTupleQueue, which writes each tuple generated by a query into a shm_mq, and a new TupleQueueFunnel facility which reads raw tuples out of the queue and reconstructs the HeapTuple format expected by the executor. The TupleQueueFunnel abstraction supports reading from multiple tuple streams at the same time, but only in round-robin fashion. Someone could imaginably want other policies, but this should be good enough to meet our short-term needs related to parallel query, and we can always extend it later. This also makes one minor addition to the shm_mq API that didn' seem worth breaking out as a separate patch. Extracted from Amit Kapila's parallel sequential scan patch. This code was originally written by me, and then it was revised by Amit, and then it was revised some more by me.