#Pgadmin 4 hide null update

The maximum number of records that can be in a message is 2000. This does not indicate that this message from Salesforce contained 2300 records. Account QUERY ↷SALESFORCE 2300 rows (1.80 secs)Ģ300 records were found by a soap query from Salesforce in 1.8 seconds. It took Salesforce 0.64 seconds to process the newly created records. 6 Custom_Account_ c, 5 Custom_Contact_c INSERT ↑SALESFORCE 11 rows total (0.64 secs) Ħ new Custom_Account_ c records and 5 new Custom_Contact_c records were created in Salesforce via the SOAP API in a single request. It took 0.01 seconds to delete that record from PostgreSQL. Custom_Account_c DELETE ↓DATABASE 1 rows (0.01 secs)Ī record in Custom_Account_c was deleted in Salesforce. An accelerated poll happened as a result and updated 1 record prior to the next scheduled poll. The Custom_Account_c object has Accelerated Polling enabled. Custom_Account_c, Streaming poll found 1 changes

#Pgadmin 4 hide null update

5000 of those changes were applied in bulk to PostgreSQL and the bulk update took 4.15 seconds. Update_Table_Bulk_c UPDATE ↓DATABASE 5000 rows (4.15 secs)Ī bulk number of records were changed in the Update_Table_Bulk_c object. Lead QUERY ↷SALESFORCE 1 rows (0.16 secs)Ī Lead record was updated via a SOAP query. It took Salesforce 0.44 seconds to process the delete sent via the SOAP API. 1 Custom_Account_c DELETE ↑SALESFORCE 1 rows total (0.44 secs) ġ Custom_Contact_c record was deleted in PostgreSQL and deleted from Salesforce.

It took Salesforce 0.26 seconds to process the write sent via the SOAP API. If you’ve enabled application logging for your connection, you may see a variety of messages that match a pattern similar to: $number $object_name $verb $arrow $salesforce_or_db $total_number ($timing secs) īelow are some examples that are not exhaustive along with explanations: 1 Custom_Contact_c UPDATE ↑SALESFORCE 1 rows total (0.26 secs) ġ Custom_Contact_c record was updated in PostgreSQL and written to Salesforce. To provide context and a complete picture of progress, we log this message. To save time when processing the bulk update to your data, we skip any batches that Salesforce tells us has no data. When we can, Connect uses Native PK Chunking and this can generate empty bulk batches in Salesforce. This message is logged when synchronizing from Salesforce to PostgreSQL using the Bulk API. Completed 31 Empty Bulk Batches from Bulk Job … It is intended to help you understand how many batches are left before normal synchronization continues. This will come after messages that indicate we’ve inserted or updated a number of records into your database. Log Messages Completed Bulk Batch … from Bulk Job … Log entries follow the standard log format with a source of app, a dyno of herokuconnect and a message that contains structured data including standard fields such as event and level.Īn example of the Logplex entries for a reload of the broker_c mapping is shown below: $ heroku logs -d herokuconnect Heroku Connect emits log messages to Logplex making them available to your application via the CLI or using logging add-ons. The format of log messages is subject to change in future releases of Heroku Connect.