Manage and scale up to thousands of Linux and Windows VMsĭeploy and scale containers on managed Kubernetesīuild and deploy Spring Boot applications with a fully managed service from Microsoft and VMware Provision Windows and Linux VMs in seconds Left outer join sys.database_mirroring_endpoints mirror on (base.endpoint_id = mirror.Access cloud compute capacity and scale on demand-and only pay for the resources you use Left outer join sys.tcp_endpoints tcp on (base.endpoint_id = tcp.endpoint_id) Left outer join sys.soap_endpoints soap on (base.endpoint_id = soap.endpoint_id) Left outer join sys.service_broker_endpoints sb on (base.endpoint_id = sb.endpoint_id) Left outer join sys.http_endpoints http on (base.endpoint_id = http.endpoint_id) Lang.alias collate database_default as name2,īinary_checksum(msg.severity, msg.is_event_logged, msg.text) as v1,įrom sys.messages msg inner join sys.syslanguages lang on (msg.language_id = lang.lcid) Inner join sys.objects o on ft.object_id = o.object_idīinary_checksum(type, data_space_id, physical_name, state, growth, is_read_only, is_sparse, is_percent_growth) as v1,īinary_checksum(validation, xml_collection_id) as v1,īinary_checksum(remote_service_name, broker_instance, lifetime, address, mirror_address) as v1,īinary_checksum(service_contract_id, remote_principal_id, is_anonymous_on) as v1,īinary_checksum(service_contract_id, local_service_id, remote_service_name, priority) as v1,Ĭast(msg.message_id as sysname) as name1, When name = N'#MS_DatabaseMasterKey#' then nullīinary_checksum(is_default, is_accent_sensitivity_on) as v1,īinary_checksum(is_enabled, change_tracking_state) as v1, When name = N'#MS_DatabaseMasterKey#' then 'MK' Inner join sys.tables tab on stat.object_id = tab.object_idīinary_checksum(pvt_key_encryption_type, thumbprint) as v1, Inner join sys.tables tab on idx.object_id = tab.object_id Here's the batch of queries in question: select object_id as id,īinary_checksum(system_type_id, schema_id, max_length, precision, scale, is_nullable, is_assembly_type, default_object_id, rule_object_id) as v1,īinary_checksum(is_unique, data_space_id, ignore_dup_key, is_primary_key, is_unique_constraint, fill_factor, is_padded, is_disabled, allow_row_locks, allow_page_locks) as v1, It would reach a certain query and then stop, when VS would claim that the comparison was complete. I ran a profiler trace with a filter on application name of Microsoft SQL Server Data Tools, Schema Compare to capture the Visual Studio schema compare events. Turns out I've managed to work this out for our situation: timing out due to blocking! The query Visual Studio is executing is being blocked and the query times out. I have verified that this is explicitly with the server, in that now two different users on two different computers are having the same exact problem. After I created the SP, I ran schema compare on all of my instances and all but the Azure server showed the variance.It could have a return of nothing for the sake of testing.I created an SP that has a single return of the number 1. Last confirmation that there was a problem: Other things I have checked include making sure my DB account has unlimited access. I found several articles talking about how the 2014 release broke the tool, but those were in version differences. I know this is wrong, because I can open Enterprise Manager and compare the schema to the SQL Project and see that there is a difference. The problem when I post to Azure Hosted Win 2012 Server running SQL Ent 2012 sp2. It has deployed several times on internal and AWS hosted SQL servers using SSDT's Schema Compare tool. I have a SQL Database project that I have built our enterprise DB on.
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