By setting extremely high limits, when you encounter an issue it is masked by a much more vague error, thus making troubleshooting more painful. The situation worsens when many connections are established, even if they’re mostly idle. Setting a high limit has performance impact under normal operations, even without establishing all available slots. What we’ve observed from running the largest fleet of Postgres in the world (over 750k databases) and heavily engaging with the Postgres community is there are two actual physical considerations in Postgres itself when it comes to the number of connections. In individual conversations with customers we’ve detailed the reasoning behind this, and feel its worth sharing this more broadly here now.įor some initial background, our connection limit updates are actually aimed to be an improvement for anyone running a Heroku Postgres database, by both providing some guidelines as well as setting some expectations around what a database instance is capable of. Previously we allowed for 500 connections across all production databases, however now there is some variance in the number of connections allowed with only the larger plans offering 500. Many of our customers have recently asked about our connection limit settings on our new Heroku Postgres tiers. FROM (SELECT "pg_source".Posted by Craig Kerstiens November 22, 2013 WITH pg_source AS (UPDATE "salesforce"."lead" SET "middlename" = _."middlename" FROM (SELECT * FROM json_populate_record (null:: "salesforce"."lead", $1)) _ WHERE "salesforce"."lead"."sfid" = '00Q5w00001tPSklEAG'::unknown RETURNING "salesforce"."lead".*) This is the error with increased log verbosity: sql_error_code = 00000 LOG: execute 1: Yes, that was my first choice but it didn't worked for another function so I had to give up the plan. Yeah, another way might be naming the schema explicitly in the code, like public.get_xmlbinary() = 'base64' FROM (SELECT "pg_source".* FROM "pg_source" ) _postgrest_t SELECT '' AS total_result_set, pg_unt(_postgrest_t) AS page_total, array::text AS header, coalesce(json_agg(_postgrest_t), '')::character varying AS body WITH pg_source AS (UPDATE "salesforce"."lead" SET "middlename" = _."middlename" FROM (SELECT * FROM json_populate_record (null:: "salesforce"."lead", $1)) _ WHERE "salesforce"."lead"."sfid" = 'xxxxx'::unknown RETURNING "salesforce"."lead".*) sql_error_code = 42883 CONTEXT: PL/pgSQL function hc_lead_status() line 4 at IF sql_error_code = 42883 QUERY: SELECT (get_xmlbinary() = 'base64') You might need to add explicit type casts. sql_error_code = 42883 HINT: No function matches the given name and argument types. This is the log for a PATCH request when the SET search_path statement is not set in the function, no trace of the search path set by postgrest: sql_error_code = 42883 ERROR: function get_xmlbinary() does not exist at character 9 to IF (public.get_xmlbinary() = 'base64') THEN - user op but I would prefer to not touch them, so I'm open to any suggestion. Next thing I would try is to manually update those triggers e.g. This is probably triggered by this trigger in the salesforce schema:īEGIN IF (get_xmlbinary() = 'base64') THEN - user op NEW._hc_lastop = 'PENDING'. It seems that when doing db-schema = "salesforce", it won't look for that function get_xmlbinary anywhere else, but I think this is a common situation in postgres? This happens because only the db-schema = "public" receives an API endpoint. The problem is that the schema against which I consume the API (named "salesforce") is using a function stored in the public schema (function is named "get_xmlbinary") and I'm receiving this error when trying to POST or PATCH rows I'm using PostgREST-Heroku to make API calls to a database on Heroku which uses Heroku-Connect to sync data to a Salesforce database (not sure if this is relevant).
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