Abstract: Techniques are provided for optimizing storage of database records in segments using sub-segments. A base segment is a container used for storing records that belong to a database object. A database management system receives a request to load, into the database object, a first set of records that are in a first state. In response to receiving the request, the system generates a new sub-segment, which is a container that is separate from the base segment. The system stores the first set of records, in their first state, within the sub-segment. The system then monitors one or more characteristics of the database system. In response to the one or more characteristics satisfying criteria, the system performs a migration of one or more records of the first set of records from the sub-segment to the base segment. During the migration, the system converts the one or more records from the first state to a second state and stores the one or more records, in their second state, in the base segment.

Abstract: A twirl training device that is a mold that has a top and a bottom side. The top side receives the foot of a user. A front part of the top side of the mold receive the ball of the foot of the user. A middle part of the top side of the mold defines an instep that rises at an angle from about thirty degree to about 45 degree from the front part of the top side of the mold. The rear part of the top side is a heel portion. The bottom side of the mold has a front portion, a middle portion and a rear portion, the front and middle portion of the bottom side slope upward from the rear portion of the bottom side. The heel portion of the top side and the rear portion of the bottom side are parallel. The twirl training device has a width that is at least two and half inches.

Abstract: A rectangular parallelepiped ingot defined by a height H, a width W and a length L, having longitudinal faces extending between two end faces, having a volume between 0.15 m3 and 0.80 m3 and a surface area to volume ratio between 10 m?1 and 18 m?1, made of at least one metal, including at least one notch and a notch tip along the ingot length, wherein the at least one notch is configured such that: MaxD<H/2, MaxD<W/2 and MaxD being the maximum distance between any point of the ingot and the closest surface of the ingot.

Abstract: An ingot, having a volume between 0.15 m3 and 0.80 m3 and a surface area to volume ratio between 10 m?1 and 18 m?1, made of at least one metal, having longitudinal faces extending between two end faces and including at least one hole extending from one of the longitudinal faces, the maximum distance between any point of the hole periphery, to its closest longitudinal face, noted MaxL, the at least one hole being configured such that said maximum distance MaxL is smaller than the minimal distance, noted MinE, between any point of the hole periphery and its closest end face.

Abstract: A twirl training device that is a mold that has a top and a bottom side. The top side receives the foot of a user. A front part of the top side of the mold receive the ball of the foot of the user. A middle part of the top side of the mold defines an instep that rises at an angle from about thirty degree to about 45 degree from the front part of the top side of the mold. The rear part of the top side is a heel portion. The bottom side of the mold has a front portion, a middle portion and a rear portion, the front and middle portion of the bottom side slope upward from the rear portion of the bottom side. The heel portion of the top side and the rear portion of the bottom side are parallel. The twirl training device has a width that is at least two and half inches.

Abstract: Techniques are described herein for hybrid parallelization of in-memory table scans. Work for an in-memory scan is divided into granules based on a degree of parallelism. The granules are assigned to one or more processes. The work for each granule is further parallelized by dividing the work granule into one or more tasks. The tasks are assigned to one or more threads, the number of which can be dynamically adjusted.

Abstract: Techniques are described herein for hybrid parallelization of in-memory table scans. Work for an in-memory scan is divided into granules based on a degree of parallelism. The granules are assigned to one or more processes. The work for each granule is further parallelized by dividing the work granule into one or more tasks. The tasks are assigned to one or more threads, the number of which can be dynamically adjusted.