Abstract: Technologies described herein can be used for the bulk lazy loading of structured data from a database. A request can be received to initialize an application data structure (such as a structured data object, a hierarchical data structure, an object graph, etc.). The data structure can be analyzed to identify a plurality of child objects of the data structure. Database records associated with the plurality of child objects can then be identified. A loaded child record table can be inspected to determine which of the identified database records are not stored in a cache. A request can be generated, comprising one or more queries to retrieve the uncached subset of database records from the database. Once the uncached subset of records are received from the database, these records can be used, along with the cached subset of the identified database records, to initialize the plurality of child objects of the application data structure.

Abstract: Technologies described herein can be used for the bulk lazy loading of structured data from a database. A request can be received to initialize an application data structure (such as a structured data object, a hierarchical data structure, an object graph, etc.). The data structure can be analyzed to identify a plurality of child objects of the data structure. Database records associated with the plurality of child objects can then be identified. A loaded child record table can be inspected to determine which of the identified database records are not stored in a cache. A request can be generated, comprising one or more queries to retrieve the uncached subset of database records from the database. Once the uncached subset of records are received from the database, these records can be used, along with the cached subset of the identified database records, to initialize the plurality of child objects of the application data structure.

Abstract: A commit event to a database table of a first set of database tables, of a distributed database system, can be detected. The first set of database tables can have a set of first table characteristic and the commit event can have a set of commit event characteristics. The commit event can be correlated to a database table of a second set of database tables based on the set of commit event characteristics. The commit event can be assigned a state based on the correlation of the commit event to a database table of the second set of database tables. First and second documents associated with the commit event can be generated. The second document can be based on the state of the commit event and can include adjustment information associated with the commit event and the first document.

Abstract: A commit event to a database table of a first set of database tables, of a distributed database system, can be detected. The first set of database tables can have a set of first table characteristic and the commit event can have a set of commit event characteristics. The commit event can be correlated to a database table of a second set of database tables based on the set of commit event characteristics. The commit event can be assigned a state based on the correlation of the commit event to a database table of the second set of database tables. First and second documents associated with the commit event can be generated. The second document can be based on the state of the commit event and can include adjustment information associated with the commit event and the first document.