Postgresql Error 53200
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Error Out Of Memory Sql State 53200
hiring developers or posting ads with us Stack Overflow Questions Jobs Documentation Tags Users Badges Ask Question x Dismiss Join postgres max_locks_per_transaction the Stack Overflow Community Stack Overflow is a community of 6.2 million programmers, just like you, helping each other. Join them; it only takes a minute: Sign up ERROR: out of shared postgres out of shared memory memory up vote 0 down vote favorite I have a query that inserts a given number of test records. It looks something like this: CREATE OR REPLACE FUNCTION _miscRandomizer(vNumberOfRecords int) RETURNS void AS $$ declare -- declare all the variables that will be used begin select into vTotalRecords count(*) from tbluser; vIndexMain := vTotalRecords; loop exit when vIndexMain >= vNumberOfRecords + vTotalRecords; -- set some other
How To Change Max_locks_per_transaction
variables that will be used for the insert -- insert record with these variables in tblUser -- insert records in some other tables -- run another function that calculates and saves some stats regarding inserted records vIndexMain := vIndexMain + 1; end loop; return; end $$ LANGUAGE plpgsql; When I run this query for 300 records it throws the following error: ********** Error ********** ERROR: out of shared memory SQL state: 53200 Hint: You might need to increase max_locks_per_transaction. Context: SQL statement "create temp table _counts(...)" PL/pgSQL function prcStatsUpdate(integer) line 25 at SQL statement SQL statement "SELECT prcStatsUpdate(vUserId)" PL/pgSQL function _miscrandomizer(integer) line 164 at PERFORM The function prcStatsUpdate looks like this: CREATE OR REPLACE FUNCTION prcStatsUpdate(vUserId int) RETURNS void AS $$ declare vRequireCount boolean; vRecordsExist boolean; begin -- determine if this stats calculation needs to be performed select into vRequireCount case when count(*) > 0 then true else false end from tblSomeTable q where [x = y] and [x = y]; -- if above is true, determine if stats were previously calculated select into vRecordsExist case when count(*) > 0 then true else false end from tblSomeOtherTable c inner join tblSomeTable q on
five-character error codes that follow the SQL standard's conventions for "SQLSTATE" codes. Applications that need to know which error condition has occurred should usually test the error code, rather than looking postgres shared memory at the textual error message. The error codes are less likely to postgresql out of memory change across PostgreSQL releases, and also are not subject to change due to localization of error messages. Note that
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some, but not all, of the error codes produced by PostgreSQL are defined by the SQL standard; some additional error codes for conditions not defined by the standard have been http://stackoverflow.com/questions/16490664/error-out-of-shared-memory invented or borrowed from other databases.
According to the standard, the first two characters of an error code denote a class of errors, while the last three characters indicate a specific condition within that class. Thus, an application that does not recognize the specific error code might still be able to infer what to do from the error class. Table http://files.postgres-xl.org/documentation/errcodes-appendix.html A-1 lists all the error codes defined in PostgreSQL 9.5r1.3. (Some are not actually used at present, but are defined by the SQL standard.) The error classes are also shown. For each error class there is a "standard" error code having the last three characters 000. This code is used only for error conditions that fall within the class but do not have any more-specific code assigned. The symbol shown in the column "Condition Name" is the condition name to use in PL/pgSQL. Condition names can be written in either upper or lower case. (Note that PL/pgSQL does not recognize warning, as opposed to error, condition names; those are classes 00, 01, and 02.) For some types of errors, the server reports the name of a database object (a table, table column, data type, or constraint) associated with the error; for example, the name of the unique constraint that caused a unique_violation error. Such names are supplied in separate fields of the error report message so that applications need not try to extract them from the possibly-localized human-care about more often), except that every once in a while you run into a situation which requires you to learn about some obscure parameter. http://www.databasesoup.com/2012/06/postgresqlconf-maxlockspertransaction.html That is, after all, why it's a changeable setting and not just http://postgresql.nabble.com/Out-of-memory-on-update-of-a-single-column-table-containg-just-one-row-td1863220.html hard-coded. max_locks_per_transaction is one setting. The purpose of max_locks_per_transaction is to determine the size of the virtual locks "table" in memory. By default, it's set to 64, which means that Postgres is prepared to track up to (64 X number of open transactions) locks. For example, if out of you have it set at the default, and you currently have 10 concurrent sessions with transactions open, you can have up to 640 total locks held between all sessions. The reason to have a limit is to avoid using dedicated shared memory if you don't need more locks than that. Most of the time for most users, But every once out of memory in a while, it's not: 2012-06-11 14:20:05.703 PDT,"processor","breakpad",17155,"[local]",4fd660cd.4303,2,"SELECT",2012-06-11 14:19:09 PDT,86/199551,0,ERROR,53200,"out of shared memory",,"You might need to increase max_locks_per_transaction.",,,,"select j.id, pj.uuid, 1, j.starteddatetime from jobs j right join priority_jobs_2849 pj on j.uuid = pj.uuid",,,"" The above helpful message is from the activity log. Unfortunately, the error which the client gets is just "out of shared memory", which is not that helpful ("what do you mean 'out of shared memory'? I have 4GB!"). The reason why the database above ran out of locks was that a few sessions were holding up to 1800 locks, most of them RowExclusiveLock. Given that a lock in Postgres is usually a lock on an object (like a table or part of a table) and not on a row, holding 1800 locks in one transaction is somewhat unusual. Why so many locks? Well, the database in question has three tables each of which has over a hundred partitions. One frequent application activity was running an UPDATE against each of these partitioned tables with no partition condition in it, causing the UPDATE to check all partitio
♦ Locked 7 messages Zeeshan.Ghalib Reply | Threaded Open this post in threaded view ♦ ♦ | Report Content as Inappropriate ♦ ♦ Out of memory on update of a single column table containg just one row. Hello Guys, We are trying to migrate from Oracle to Postgres. One of the major requirement of our database is the ability to generate XML feeds and some of our XML files are in the order of 500MB+. We are getting "Out of Memory" errors when doing an update on a table. Here is some detail on the error: ------------------------------------ update test_text3 set test=test||test The table test_text3 contains only one record, the column test contains a string containing 382,637,520 characters (around 300+ MB) Error Message: ERROR: out of memory DETAIL: Failed on request of size 765275088. The server has 3GB of RAM: total used free shared buffers cached Mem: 3115804 823524 2292280 0 102488 664224 -/+ buffers/cache: 56812 3058992 Swap: 5177336 33812 5143524 I tweaked the memory parameters of the server a bit to the following values, but still no luck. shared_buffers = 768MB effective_cache_size = 2048MB checkpoint_segments 8 checkpoint_completion_target 0.8 work_mem 10MB max_connections 50 wal_buffers 128 This error is consistent and reproducible every time I run that update. I can provide a detailed stack trace if needed. Any help would be highly appreciated. For those who are interested in the background, we are trying to migrate from Oracle to Postgresql. One of the major requirement of our database is the ability to generate XML feeds and some of our XML files are in the order of 500MB+. Considering future scalability we are trying to see how much data can be stored in a "text" column and written to the file system as we found PostgreSQL's COPY command a very efficient way of writing date to a file. Thanks in advance and best regards, Zeeshan This e-mail is confidential and should not be used by anyone who is not the original intended recipient. Global DataPoint Limited does not accept liability for any statements made which are clearly the sender's own and not e