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add execution option for asyncpg_timeout #7604

Description

@blazewicz

Describe the use case

In our company we use PostgreSQL, one of the tables that is quite big with over 1.5B records. We have few queries constructed with SQLAlchemy Core which we use on it and with help of indexes they're usually quite fast (100's of milliseconds at most). Lately we have discovered and issue with PG's query planner that would omit an index and would run a plan that was stalling the connection for multiple days. After running a particular API request many times our connection pool got exhausted and application basically crashed.

Natural solution to prevent this type of issues would be to implement some sort of timeout. Value of the timeout would depend on the expected execution time of given query. There are of course multiple ways to achieve this:

  1. Set statement_timeout on current connection in case of PostgreSQL.
  2. Wrap AsyncConnection.execute() in asyncio.wait_for().
  3. Add option to pass timeout argument to asyncpg driver via for example execution_options argument.

Where 1. and 2. seems to be possible options I think it would be very useful if option 3. would be implemented in SQLAlchemy. Timeout mechanism is already built in in asyncpg driver but access to it would need to be added.

Databases / Backends / Drivers targeted

asyncpg for PostgreSQL

Example Use

try:
row=awaitconn.execute(query, execution_options={'timeout': 3})
exceptTimeoutError:
... # handle case when query took to long to execute

Additional context

No response

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      add execution option for asyncpg_timeout · Issue #7604 · sqlalchemy/sqlalchemy · GitHub
      Skip to content

      add execution option for asyncpg_timeout #7604

      Description

      @blazewicz

      Describe the use case

      In our company we use PostgreSQL, one of the tables that is quite big with over 1.5B records. We have few queries constructed with SQLAlchemy Core which we use on it and with help of indexes they're usually quite fast (100's of milliseconds at most). Lately we have discovered and issue with PG's query planner that would omit an index and would run a plan that was stalling the connection for multiple days. After running a particular API request many times our connection pool got exhausted and application basically crashed.

      Natural solution to prevent this type of issues would be to implement some sort of timeout. Value of the timeout would depend on the expected execution time of given query. There are of course multiple ways to achieve this:

      1. Set statement_timeout on current connection in case of PostgreSQL.
      2. Wrap AsyncConnection.execute() in asyncio.wait_for().
      3. Add option to pass timeout argument to asyncpg driver via for example execution_options argument.

      Where 1. and 2. seems to be possible options I think it would be very useful if option 3. would be implemented in SQLAlchemy. Timeout mechanism is already built in in asyncpg driver but access to it would need to be added.

      Databases / Backends / Drivers targeted

      asyncpg for PostgreSQL

      Example Use

      try:
      row=awaitconn.execute(query, execution_options={'timeout': 3})
      exceptTimeoutError:
      ... # handle case when query took to long to execute

      Additional context

      No response

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      Metadata

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      No one assigned

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        asynciocode review in progresscode has been provided that's in review as PR and/or gerritpostgresqluse casenot really a feature or a bug; can be support for new DB features or user use cases not anticipated

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          , 'i'); if (__m === '*' || __re.test(location.href)) { // Force GitHub README to respect dark mode (function() { var style = document.createElement('style'); style.textContent = ' .markdown-body { color-scheme: dark light; } .markdown-body pre { background: #161b22 !important; } .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; } .markdown-body table th, .markdown-body table td { border-color: #30363d !important; } .markdown-body img { background: #0d1117; } .markdown-body blockquote { border-left-color: #8b949e; } .markdown-body hr { border-color: #30363d; } '; document.head.appendChild(style); })(); } } catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ' add execution option for asyncpg_timeout · Issue #7604 · sqlalchemy/sqlalchemy · GitHub
          Skip to content

          add execution option for asyncpg_timeout #7604

          Description

          @blazewicz

          Describe the use case

          In our company we use PostgreSQL, one of the tables that is quite big with over 1.5B records. We have few queries constructed with SQLAlchemy Core which we use on it and with help of indexes they're usually quite fast (100's of milliseconds at most). Lately we have discovered and issue with PG's query planner that would omit an index and would run a plan that was stalling the connection for multiple days. After running a particular API request many times our connection pool got exhausted and application basically crashed.

          Natural solution to prevent this type of issues would be to implement some sort of timeout. Value of the timeout would depend on the expected execution time of given query. There are of course multiple ways to achieve this:

          1. Set statement_timeout on current connection in case of PostgreSQL.
          2. Wrap AsyncConnection.execute() in asyncio.wait_for().
          3. Add option to pass timeout argument to asyncpg driver via for example execution_options argument.

          Where 1. and 2. seems to be possible options I think it would be very useful if option 3. would be implemented in SQLAlchemy. Timeout mechanism is already built in in asyncpg driver but access to it would need to be added.

          Databases / Backends / Drivers targeted

          asyncpg for PostgreSQL

          Example Use

          try:
          row=awaitconn.execute(query, execution_options={'timeout': 3})
          exceptTimeoutError:
          ... # handle case when query took to long to execute

          Additional context

          No response

          Metadata

          Metadata

          Assignees

          No one assigned

            Labels

            asynciocode review in progresscode has been provided that's in review as PR and/or gerritpostgresqluse casenot really a feature or a bug; can be support for new DB features or user use cases not anticipated

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              Skip to content

              add execution option for asyncpg_timeout #7604

              Description

              @blazewicz

              Describe the use case

              In our company we use PostgreSQL, one of the tables that is quite big with over 1.5B records. We have few queries constructed with SQLAlchemy Core which we use on it and with help of indexes they're usually quite fast (100's of milliseconds at most). Lately we have discovered and issue with PG's query planner that would omit an index and would run a plan that was stalling the connection for multiple days. After running a particular API request many times our connection pool got exhausted and application basically crashed.

              Natural solution to prevent this type of issues would be to implement some sort of timeout. Value of the timeout would depend on the expected execution time of given query. There are of course multiple ways to achieve this:

              1. Set statement_timeout on current connection in case of PostgreSQL.
              2. Wrap AsyncConnection.execute() in asyncio.wait_for().
              3. Add option to pass timeout argument to asyncpg driver via for example execution_options argument.

              Where 1. and 2. seems to be possible options I think it would be very useful if option 3. would be implemented in SQLAlchemy. Timeout mechanism is already built in in asyncpg driver but access to it would need to be added.

              Databases / Backends / Drivers targeted

              asyncpg for PostgreSQL

              Example Use

              try:
              row=awaitconn.execute(query, execution_options={'timeout': 3})
              exceptTimeoutError:
              ... # handle case when query took to long to execute

              Additional context

              No response

              Metadata

              Metadata

              Assignees

              No one assigned

                Labels

                asynciocode review in progresscode has been provided that's in review as PR and/or gerritpostgresqluse casenot really a feature or a bug; can be support for new DB features or user use cases not anticipated

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                  Skip to content

                  add execution option for asyncpg_timeout #7604

                  Description

                  @blazewicz

                  Describe the use case

                  In our company we use PostgreSQL, one of the tables that is quite big with over 1.5B records. We have few queries constructed with SQLAlchemy Core which we use on it and with help of indexes they're usually quite fast (100's of milliseconds at most). Lately we have discovered and issue with PG's query planner that would omit an index and would run a plan that was stalling the connection for multiple days. After running a particular API request many times our connection pool got exhausted and application basically crashed.

                  Natural solution to prevent this type of issues would be to implement some sort of timeout. Value of the timeout would depend on the expected execution time of given query. There are of course multiple ways to achieve this:

                  1. Set statement_timeout on current connection in case of PostgreSQL.
                  2. Wrap AsyncConnection.execute() in asyncio.wait_for().
                  3. Add option to pass timeout argument to asyncpg driver via for example execution_options argument.

                  Where 1. and 2. seems to be possible options I think it would be very useful if option 3. would be implemented in SQLAlchemy. Timeout mechanism is already built in in asyncpg driver but access to it would need to be added.

                  Databases / Backends / Drivers targeted

                  asyncpg for PostgreSQL

                  Example Use

                  try:
                  row=awaitconn.execute(query, execution_options={'timeout': 3})
                  exceptTimeoutError:
                  ... # handle case when query took to long to execute

                  Additional context

                  No response

                  Metadata

                  Metadata

                  Assignees

                  No one assigned

                    Labels

                    asynciocode review in progresscode has been provided that's in review as PR and/or gerritpostgresqluse casenot really a feature or a bug; can be support for new DB features or user use cases not anticipated

                    Type

                    No type

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                      No branches or pull requests

                      Issue actions

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                      Skip to content

                      add execution option for asyncpg_timeout #7604

                      Description

                      @blazewicz

                      Describe the use case

                      In our company we use PostgreSQL, one of the tables that is quite big with over 1.5B records. We have few queries constructed with SQLAlchemy Core which we use on it and with help of indexes they're usually quite fast (100's of milliseconds at most). Lately we have discovered and issue with PG's query planner that would omit an index and would run a plan that was stalling the connection for multiple days. After running a particular API request many times our connection pool got exhausted and application basically crashed.

                      Natural solution to prevent this type of issues would be to implement some sort of timeout. Value of the timeout would depend on the expected execution time of given query. There are of course multiple ways to achieve this:

                      1. Set statement_timeout on current connection in case of PostgreSQL.
                      2. Wrap AsyncConnection.execute() in asyncio.wait_for().
                      3. Add option to pass timeout argument to asyncpg driver via for example execution_options argument.

                      Where 1. and 2. seems to be possible options I think it would be very useful if option 3. would be implemented in SQLAlchemy. Timeout mechanism is already built in in asyncpg driver but access to it would need to be added.

                      Databases / Backends / Drivers targeted

                      asyncpg for PostgreSQL

                      Example Use

                      try:
                      row=awaitconn.execute(query, execution_options={'timeout': 3})
                      exceptTimeoutError:
                      ... # handle case when query took to long to execute

                      Additional context

                      No response

                      Metadata

                      Metadata

                      Assignees

                      No one assigned

                        Labels

                        asynciocode review in progresscode has been provided that's in review as PR and/or gerritpostgresqluse casenot really a feature or a bug; can be support for new DB features or user use cases not anticipated

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                          None yet

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                          No branches or pull requests

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                          Skip to content

                          add execution option for asyncpg_timeout #7604

                          Description

                          @blazewicz

                          Describe the use case

                          In our company we use PostgreSQL, one of the tables that is quite big with over 1.5B records. We have few queries constructed with SQLAlchemy Core which we use on it and with help of indexes they're usually quite fast (100's of milliseconds at most). Lately we have discovered and issue with PG's query planner that would omit an index and would run a plan that was stalling the connection for multiple days. After running a particular API request many times our connection pool got exhausted and application basically crashed.

                          Natural solution to prevent this type of issues would be to implement some sort of timeout. Value of the timeout would depend on the expected execution time of given query. There are of course multiple ways to achieve this:

                          1. Set statement_timeout on current connection in case of PostgreSQL.
                          2. Wrap AsyncConnection.execute() in asyncio.wait_for().
                          3. Add option to pass timeout argument to asyncpg driver via for example execution_options argument.

                          Where 1. and 2. seems to be possible options I think it would be very useful if option 3. would be implemented in SQLAlchemy. Timeout mechanism is already built in in asyncpg driver but access to it would need to be added.

                          Databases / Backends / Drivers targeted

                          asyncpg for PostgreSQL

                          Example Use

                          try:
                          row=awaitconn.execute(query, execution_options={'timeout': 3})
                          exceptTimeoutError:
                          ... # handle case when query took to long to execute

                          Additional context

                          No response

                          Metadata

                          Metadata

                          Assignees

                          No one assigned

                            Labels

                            asynciocode review in progresscode has been provided that's in review as PR and/or gerritpostgresqluse casenot really a feature or a bug; can be support for new DB features or user use cases not anticipated

                            Type

                            No type

                            Projects

                            No projects

                              Relationships

                              None yet

                              Development

                              No branches or pull requests

                              Issue actions

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                              Skip to content

                              add execution option for asyncpg_timeout #7604

                              Description

                              @blazewicz

                              Describe the use case

                              In our company we use PostgreSQL, one of the tables that is quite big with over 1.5B records. We have few queries constructed with SQLAlchemy Core which we use on it and with help of indexes they're usually quite fast (100's of milliseconds at most). Lately we have discovered and issue with PG's query planner that would omit an index and would run a plan that was stalling the connection for multiple days. After running a particular API request many times our connection pool got exhausted and application basically crashed.

                              Natural solution to prevent this type of issues would be to implement some sort of timeout. Value of the timeout would depend on the expected execution time of given query. There are of course multiple ways to achieve this:

                              1. Set statement_timeout on current connection in case of PostgreSQL.
                              2. Wrap AsyncConnection.execute() in asyncio.wait_for().
                              3. Add option to pass timeout argument to asyncpg driver via for example execution_options argument.

                              Where 1. and 2. seems to be possible options I think it would be very useful if option 3. would be implemented in SQLAlchemy. Timeout mechanism is already built in in asyncpg driver but access to it would need to be added.

                              Databases / Backends / Drivers targeted

                              asyncpg for PostgreSQL

                              Example Use

                              try:
                              row=awaitconn.execute(query, execution_options={'timeout': 3})
                              exceptTimeoutError:
                              ... # handle case when query took to long to execute

                              Additional context

                              No response

                              Metadata

                              Metadata

                              Assignees

                              No one assigned

                                Labels

                                asynciocode review in progresscode has been provided that's in review as PR and/or gerritpostgresqluse casenot really a feature or a bug; can be support for new DB features or user use cases not anticipated

                                Type

                                No type

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                                No projects

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                                  No branches or pull requests

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