Systems, methods, and media for managing RAM resources for in-memory NoSQL databases
View Patent ↗In some embodiments, systems for managing an in-memory NoSQL database are provided, the systems comprising a hardware processor that is configured to: receive a dataset; split the dataset into a plurality of parts of the dataset; and storing each of the plurality of parts of the dataset in a separate one of plurality of 32-bit software architecture in-memory NoSQL databases.
1. A method for managing an in-memory NoSQL database comprising:
receiving a dataset;
splitting, by a hardware processor, the dataset into a plurality of parts of the dataset, wherein one of the plurality of parts of the dataset includes a plurality of partitions;
storing each of the plurality of parts of the dataset in a separate one of a plurality of 32-bit software architecture in-memory NoSQL databases;
storing data in the one of the plurality of parts of the dataset;
determining an amount of data stored in the one of the plurality of parts of the dataset;
determining whether the amount meets a threshold;
responsive to determining that the amount meets the threshold, determining whether the one of the plurality of parts of the dataset can be split into a plurality of sub-parts of the dataset, wherein each of the sub-parts of the dataset includes at least one of the plurality of partitions, and whether at least one of the plurality of sub-parts of the dataset can be stored in a 32-bit software architecture in-memory NoSQL database; and
responsive to determining that the one of the plurality of parts of the dataset can be split into a plurality of sub-parts of the dataset, wherein each of the sub-parts of the dataset includes at least one of the plurality of partitions, and that the at least one of the plurality of sub-parts of the dataset can be stored in a 32-bit software architecture in-memory NoSQL database, splitting the one of the plurality of parts of the dataset into a plurality of sub-parts of the dataset, wherein each of the sub-parts of the dataset includes at least one of the plurality of partitions, and storing the at least one of the plurality of sub-parts of the dataset in a 32-bit software architecture in-memory NoSQL database; and
responsive to determining that the one of the plurality of parts of the dataset cannot be split into a plurality of sub-parts of the dataset, wherein each of the sub-parts of the dataset includes at least one of the plurality of partitions, or that the at least one of the plurality of sub-parts of the dataset cannot be stored in a 32-bit software architecture in-memory NoSQL database, scaling the one of the plurality of parts of the dataset to a 64-bit software architecture in-memory NoSQL database.
2. The method of claim 1 , wherein the dataset is received from a 64 bit software architecture in-memory NoSQL database.
3. A system for managing an in-memory NoSQL database, comprising:
a hardware processor that is configured to:
receive a dataset;
split the dataset into a plurality of parts of the dataset, wherein one of the plurality of parts of the dataset includes a plurality of partitions;
store each of the plurality of parts of the dataset in a separate one of a plurality of 32-bit software architecture in-memory NoSQL databases;
store data in the one of the plurality of parts of the dataset;
determine an amount of data stored in the one of the plurality of parts of the dataset;
determine whether the amount meets a threshold;
responsive to determining that the amount meets the threshold, determine whether the one of the plurality of parts of the dataset can be split into a plurality of sub-parts of the dataset, wherein each of the sub-parts of the dataset includes at least one of the plurality of partitions, and whether at least one of the plurality of sub-parts of the dataset can be stored in a 32-bit software architecture in-memory NoSQL database; and
responsive to determining that the one of the plurality of parts of the dataset can be split into a plurality of sub-parts of the dataset, wherein each of the sub-parts of the dataset includes at least one of the plurality of partitions, and that the at least one of the plurality of sub-parts of the dataset can be stored in a 32-bit software architecture in-memory NoSQL database, split the one of the plurality of parts of the dataset into a plurality of sub-parts of the dataset, wherein each of the sub-parts of the dataset includes at least one of the plurality of partitions, and store the at least one of the plurality of sub-parts of the dataset in a 32-bit software architecture in-memory NoSQL database; and
wherein the hardware processor is further configured to:
responsive to determining that the one of the plurality of parts of the dataset cannot be split into a plurality of sub-parts of the dataset, wherein each of the sub-parts of the dataset includes at least one of the plurality of partitions, or that the at least one of the plurality of sub-parts of the dataset cannot be stored in a 32-bit software architecture in-memory NoSQL database, scale the one of the plurality of parts of the dataset to a 64-bit software architecture in-memory NoSQL database.
4. The system of claim 3 , wherein the dataset is received from a 64 bit software architecture in-memory NoSQL database.
5. A non-transitory computer-readable medium containing computer-executable instructions that, when executed by a processor, cause the processor to perform a method for managing an in-memory NoSQL database, the method comprising:
receiving a dataset;
splitting, by a hardware processor, the dataset into a plurality of parts of the dataset, wherein one of the plurality of parts of the dataset includes a plurality of partitions;
storing each of the plurality of parts of the dataset in a separate one of a plurality of 32-bit software architecture in-memory NoSQL databases;
storing data in the one of the plurality of parts of the dataset;
determining an amount of data stored in the one of the plurality of parts of the dataset;
determining whether the amount meets a threshold;
responsive to determining that the amount meets the threshold, determining whether the one of the plurality of parts of the dataset can be split into a plurality of sub-parts of the dataset, wherein each of the sub-parts of the dataset includes at least one of the plurality of partitions, and whether at least one of the plurality of sub-parts of the dataset can be stored in a 32-bit software architecture in-memory NoSQL database;
responsive to determining that the one of the plurality of parts of the dataset can be split into a plurality of sub-parts of the dataset, wherein each of the sub-parts of the dataset includes at least one of the plurality of partitions, and that the at least one of the plurality of sub-parts of the dataset can be stored in a 32-bit software architecture in-memory NoSQL database, splitting the one of the plurality of parts of the dataset into a plurality of sub-parts of the dataset, wherein each of the sub-parts of the dataset includes at least one of the plurality of partitions, and storing the at least one of the plurality of sub-parts of the dataset in a 32-bit software architecture in-memory NoSQL database; and
wherein the method further comprises:
responsive to determining that the one of the plurality of parts of the dataset cannot be split into a plurality of sub-parts of the dataset, wherein each of the sub-parts of the dataset includes at least one of the plurality of partitions, or that the at least one of the plurality of sub-parts of the dataset cannot be stored in a 32-bit software architecture in-memory NoSQL database, scaling the one of the plurality of parts of the dataset to a 64-bit software architecture in-memory NoSQL database.
6. The non-transitory computer-readable medium of claim 5 , wherein the dataset is received from a 64 bit software architecture in-memory NoSQL database.