Abstract: A computer-implemented method for balancing storage utilization and query processing in a distributed database. In one embodiment, the method receives a set of queries to perform on a database; determines a uniqueness score and a usage score based on the set of queries for each column of each data table in the database; normalizes the usage score and the uniqueness score to generate a normalized usage score and a normalized uniqueness score; multiplies the normalized uniqueness score by a first weight factor to produce a weighted uniqueness score; multiplies the normalized usage score by a second weight factor to produce a weighted usage score; combines the weighted uniqueness score and the weighted usage score to generate a combined column score; selects a column having a highest combined column score; and recreates the plurality of data tables of the database on the plurality of nodes using the column as a new distribution key.

Abstract: A computer-implemented method for balancing storage utilization and query processing in a distributed database. In one embodiment, the computer-implemented method receives a set of queries to perform on a database that is distributed among a plurality of nodes. The database includes a plurality of data tables that each includes a plurality of columns and a plurality of rows. The computer-implemented method determines a uniqueness score and a join score for each column of each data table in the database based on the set of queries. The computer-implemented method determines a new distribution key based on the uniqueness score and the join score for each column of each data table in the database. The computer-implemented method recreates the plurality of data tables of the database on the plurality of nodes using the new distribution key for execution of the set of queries.

Abstract: A computer-implemented method for balancing storage utilization and query processing in a distributed database. In one embodiment, the method receives a set of queries to perform on a database; determines a uniqueness score and a usage score based on the set of queries for each column of each data table in the database; normalizes the usage score and the uniqueness score to generate a normalized usage score and a normalized uniqueness score; multiplies the normalized uniqueness score by a first weight factor to produce a weighted uniqueness score; multiplies the normalized usage score by a second weight factor to produce a weighted usage score; combines the weighted uniqueness score and the weighted usage score to generate a combined column score; selects a column having a highest combined column score; and recreates the plurality of data tables of the database on the plurality of nodes using the column as a new distribution key.

Abstract: A computer-implemented method for balancing storage utilization and query processing in a distributed database. In one embodiment, the computer-implemented method receives a set of queries to perform on a database that is distributed among a plurality of nodes. The database includes a plurality of data tables that each includes a plurality of columns and a plurality of rows. The computer-implemented method determines a uniqueness score and a join score for each column of each data table in the database based on the set of queries. The computer-implemented method determines a new distribution key based on the uniqueness score and the join score for each column of each data table in the database. The computer-implemented method recreates the plurality of data tables of the database on the plurality of nodes using the new distribution key for execution of the set of queries.