Abstract: Examples described herein generally relate to executing a received graph database query. The received graph database query can be converted into a recursive common table expression (CTE). Multiple alternative processes for executing the recursive CTE can be generated based on the recursive CTE. A cost associated with each of the multiple alternative processes can be determined. One of the multiple alternative processes can be converted into a multi-step sequence based on the associated cost. The multi-step sequence can be executed on a database to retrieve a set of results in response to the received graph database query.

Abstract: Examples described herein generally relate to executing a received graph database query. The received graph database query can be converted into a recursive common table expression (CTE). Multiple alternative processes for executing the recursive CTE can be generated based on the recursive CTE. A cost associated with each of the multiple alternative processes can be determined. One of the multiple alternative processes can be converted into a multi-step sequence based on the associated cost. The multi-step sequence can be executed on a database to retrieve a set of results in response to the received graph database query.

Abstract: Techniques for improved update performance in transactional and data warehouse applications are disclosed herein. A request to store a modified version of the row is received. A first record indicative of a logically deleted state for values in the column store corresponding to the row is added to a first plurality of records. The modified version of the row is added to the row store. The identifier is modified to indicate that the column store does not contain a location corresponding to the modified version of the row. A second record indicative of the modified version of the row not having been propagated to the column is added to a second plurality of records store.