Abstract: The subject technology receives first code in a first programming language, the first code including a reference to a first dataset. The subject technology converting the first code to: second code in a second programming language different than the first programming language, and at least one data query in a second format different than the first programming language. Further the subject technology sends the converted first code and the at least one data query to a data system for execution.

Abstract: Disclosed herein are systems and methods for processing queries over external tables. In an embodiment, a database platform receives a query directed at least to data in an external table stored in a storage platform that is external to the database platform. The database platform uses metadata that summarizes the data in the external table to identify one or more partitions of the external table as potentially including data satisfying the query, and generates a query plan that includes a plurality of discrete subtasks that collectively include instructions to scan the identified one or more partitions of the external table for data satisfying the query. The database platform assigns, based on the metadata, the plurality of discrete subtasks to one or more nodes in an execution platform, and refreshes the metadata in response to a threshold number of modifications being made to the external table.

Abstract: Systems, methods, and devices for transactional processing of change tracking data for a database are discussed. A method includes generating a micro-partition based on execution of a transaction on a table of a database, the micro-partition reflecting changes made to the table by the transaction. A change tracking entry is generated in response to the execution of the transaction. The change tracking entry includes an indication of one or more modifications made to the table by the transaction and an indication of the micro-partition generated based on the execution of the transaction. The change tracking entry is stored in the micro-partition as metadata. At least one existing micro-partition is removed from the table, responsive to storing the change tracking entry.

Abstract: The subject technology determines, using a stream object provided by a network-based database system separate from an external system, a set of offsets of each shard of a set of shards, the set of offsets being determined by executing a user defined function (UDF) included in the stream object, the stream object and the UDF being implemented in a particular programming language different than a database query language. The subject technology identifies an operation to perform on the set of shards. The subject technology, based on the set of shards and the set of offsets, performs, using the UDF included in the stream object, the operation on an external data source hosted by the external system. The subject technology increments a property indicating a different version of the stream object after performing the operation on the external data source, the property being included in the stream object.

Abstract: The subject technology determines a number of execution nodes to execute a task. The subject technology determines that no virtual warehouse from a pool of virtual warehouses includes at least the number of execution nodes. The subject technology generates a new virtual warehouse including at least the number of execution nodes. The subject technology determines whether a previous execution of a prior task was completed in less than a threshold time period of a time interval, the time interval corresponding to a particular period of time for executing at least one task. The subject technology increments a score corresponding to a size of a particular virtual warehouse. The subject technology selects the new virtual warehouse from the pool of virtual warehouses based at least in part on the incremented score and the number of execution nodes included in the selected new virtual warehouse.

Abstract: A query referencing a function associated with a remote software component is received by a network-based data warehouse system. Temporary security credentials corresponding to a role at a cloud computing service platform are obtained. The role has permission to send calls to a web endpoint corresponding to the remote software component. A request comprising input data and electronically signed using the temporary security credentials is sent to a web Application Programming Interface (API) management system of the cloud computing service platform. The request, when received by the web API management system, causes the web API management system to invoke external functionality provided by the remote software component at the web endpoint with respect to the input data. A response comprising a result of invoking the external functionality is received from the web API management system, and the result data is processed according to the query.

Abstract: Systems, methods, and devices for executing a task on database data in response to a trigger event are disclosed. A method includes executing a transaction on a table comprising database data, wherein executing the transaction comprises generating a new table version. The method includes, in response to the transaction being fully executed, generating a change tracking entry comprising an indication of one or more modifications made to the table by the transaction and storing the change tracking entry in a change tracking stream. The method includes executing a task on the new table version in response to a trigger event.

Abstract: The subject technology receives a notification that a modification has been made to an external table, the modification comprising inserting at least one row of new data to the external table, the at least one row corresponding to a first micro-partition that includes a first portion of data from the external table prior to the inserting. The subject technology, in response to the notification indicating the modification to the external table, generates a new micro-partition different from the first micro-partition, the new micro-partition including the inserted at least one row of new data and the first portion of data from the external table. The subject technology generates a refreshed materialized view based at least in part on the generated new micro-partition such that the refreshed materialized view comprises a representation of the external table after the modification has been made.

Abstract: A streaming ingest platform can improve latency and expense issues related to uploading data into a cloud data system. The streaming ingest platform can organize the data to be ingested into per-table chunks and per-account blobs. This data may be committed and may be made available for query processing before it is ingested into the target source tables. This significantly improves latency issues. The streaming ingest platform can also accommodate uploading data from various sources with different processing and communication capabilities, such as Internet of Things (IOT) devices.

Abstract: Systems, methods, and devices for automated maintenance of external tables in database systems are disclosed. A method includes receiving, by a database platform, read access to content in an external data storage platform that is separate from the database platform. The method includes defining an external table based on the content in the external data storage platform. The method includes connecting the database platform to the external table such that the database platform has read access for the external table and does not have write access for the external table. The method includes generating metadata for the external table, the metadata comprising information about data stored in the external table. The method includes receiving a notification that a modification has been made to the content in the external data storage platform, the modification comprising one or more of an addition of a file, a deletion of a file, or an update to a file in a source location for the external table.

Abstract: The subject technology executes a change on an existing micro-partition of a table, the executing of the change comprising generating a new micro-partition that embodies the change and deleting the existing micro-partition. The subject technology receives a request for a delta for the table between a first timestamp and a second timestamp. The subject technology responsively determines the delta based on a table history, the delta including information indicating at least one operation that was performed to at least one row of a set of rows of the table, without including information as to intermediate changes made to at least one row of the set of rows of the table between the first timestamp and the second timestamp, that facilitates a reduction in storage of historical versions of the set of rows of the table.

Abstract: The subject technology receives an operation to perform on an external data source accessible via a network, the external data source being hosted by an external system separate from a network-based database system. The subject technology determines a set of shards corresponding to the external data source. The subject technology determines a set of offsets of each shard of the set of shards. The subject technology, based on the set of shards and the set of offsets, performs the operation on the external data source. The subject technology provides an indication that the operation is complete.

Abstract: A database platform authenticates a system user for access via an application to a database that is associated with a customer account of the database platform. The system user is a first object in a first account-level namespace of the customer account, and the first account-level namespace is distinct from a default account-level namespace of the customer account. The database platform sends, as the system user, a query to the database via the application. The database platform receives, as the system user, results of the query from the database, and stores, as the system user, the results of the query in a first-namespace stage, which is a second object in the first account-level namespace.

Abstract: A database platform receives an object identifier from a client in association with a database session. The client is associated with a customer account of the database platform, and the database session is associated with the client. In response to receiving the object identifier, the database platform identifies a resolution namespace for the object identifier, where the resolution namespace for the object identifier is a namespace that is specified in the object identifier if the object identifier includes a specified namespace, and where the resolution namespace is otherwise a current account-level namespace of the database session. The database platform resolves the object identifier with reference to the identified resolution namespace for the object identifier, including identifying an object corresponding to the object identifier in the customer account.

Abstract: Systems, methods, and devices for executing a task on database data in response to a trigger event are disclosed. A method includes executing a transaction on a table comprising database data, wherein executing the transaction comprises generating a new table version. The method includes, in response to the transaction being fully executed, generating a change tracking entry comprising an indication of one or more modifications made to the table by the transaction and storing the change tracking entry in a change tracking stream. The method includes executing a task on the new table version in response to a trigger event.

Abstract: Systems, methods, and devices for tracking a series of changes to database data are disclosed. A method includes executing a transaction to modify data in a micro-partition of a table of a database by generating a new micro-partition that embodies the transaction. The method includes associating transaction data with the new micro-partition, wherein the transaction data comprises a timestamp when the transaction was fully executed, and further includes associating modification data with the new micro-partition that comprises an indication of one or more rows of the table that were modified by the transaction. The method includes joining the transaction data with the modification data to generate joined data and querying the joined data to determine a listing of intermediate modifications made to the table between a first timestamp and a second timestamp.

Abstract: Systems, methods, and devices for generating a transactional change tracking summary for a database. A method includes executing a transaction on a table of a database, wherein the table includes a micro-partition and the transaction is executed on the micro-partition. The method includes, in response to the transaction being fully executed, generating a change tracking entry comprising an indication of one or modifications made to the table by the transaction. The method includes storing the change tracking entry in a change tracking stream, wherein the change tracking stream includes one or more sequential change tracking entries that each correspond to a different transaction that is fully executed on the table.

Abstract: The subject technology determines a number of execution nodes to execute a task. The subject technology determines that no virtual warehouse from a pool of virtual warehouses includes at least the number of execution nodes. The subject technology generates a new virtual warehouse including at least the number of execution nodes. The subject technology determines whether a previous execution of a prior task was completed in less than a threshold time period of a time interval, the time interval corresponding to a particular period of time for executing at least one task. The subject technology increments a score corresponding to a size of a particular virtual warehouse. The subject technology selects the new virtual warehouse from the pool of virtual warehouses based at least in part on the incremented score and the number of execution nodes included in the selected new virtual warehouse.

Abstract: Systems, methods, and devices for querying over an external table are disclosed. A method includes connecting a database platform to an external table such that the database platform has read access for the external table and does not have write access for the external table. The method includes receiving a query comprising a predicate, the query directed at least to data in the external table. The method includes determining, based on metadata, one or more partitions in the external table comprising data satisfying the predicate. The method includes pruning, based on the metadata, all partitions in the external table that do not comprise any data satisfying the predicate. The method includes generating a query plan comprising a plurality of discrete subtasks. The method includes assigning, based on the metadata, the plurality of discrete subtasks to one or more nodes in an execution platform.

Abstract: Systems, methods, and devices for querying over an external table are disclosed. A method includes connecting a database platform to an external table such that the database platform has read access for the external table and does not have write access for the external table. The method includes receiving a query comprising a predicate, the query directed at least to data in the external table. The method includes determining, based on metadata, one or more partitions in the external table comprising data satisfying the predicate. The method includes pruning, based on the metadata, all partitions in the external table that do not comprise any data satisfying the predicate. The method includes generating a query plan comprising a plurality of discrete subtasks. The method includes assigning, based on the metadata, the plurality of discrete subtasks to one or more nodes in an execution platform.