initial concepts for the system were presented in [ston86], and the definition of the initial data model appeared in [rowe87]. The design of the rule system at that time was described in [ston87a]. The rationale interact will make this chapter somewhat clearer. In database jargon, PostgreSQL uses a client/server model. A PostgreSQL session consists of the following cooperating processes (programs): • A server process PostgreSQL does not guarantee that DISTINCT causes the rows to be ordered. 3 This is only a conceptual model. The join is usually performed in a more efficient manner than actually comparing each possible pair

initial con- cepts for the system were presented in [ston86], and the definition of the initial data model appeared in [rowe87]. The design of the rule system at that time was described in [ston87a]. The rationale interact will make this chapter somewhat clearer. In database jargon, PostgreSQL uses a client/server model. A PostgreSQL session consists of the following cooperating processes (programs): • A server process PostgreSQL does not guarantee that DISTINCT causes the rows to be ordered. 3 This is only a conceptual model. The join is usually performed in a more efficient manner than actually comparing each possible pair

initial concepts for the system were presented in [ston86], and the definition of the initial data model appeared in [rowe87]. The design of the rule system at that time was described in [ston87a]. The rationale interact will make this chapter somewhat clearer. In database jargon, PostgreSQL uses a client/server model. A PostgreSQL session consists of the following cooperating processes (programs): • A server process PostgreSQL does not guarantee that DISTINCT causes the rows to be ordered. 3 This is only a conceptual model. The join is usually performed in a more efficient manner than actually comparing each possible pair

initial con- cepts for the system were presented in [ston86], and the definition of the initial data model appeared in [rowe87]. The design of the rule system at that time was described in [ston87a]. The rationale interact will make this chapter somewhat clearer. In database jargon, PostgreSQL uses a client/server model. A PostgreSQL session consists of the following cooperating processes (programs): • A server process PostgreSQL does not guarantee that DISTINCT causes the rows to be ordered. 3 This is only a conceptual model. The join is usually performed in a more efficient manner than actually comparing each possible pair

initial concepts for the system were presented in [ston86], and the definition of the initial data model appeared in [rowe87]. The design of the rule system at that time was described in [ston87a]. The rationale interact will make this chapter somewhat clearer. In database jargon, PostgreSQL uses a client/server model. A PostgreSQL session consists of the following cooperating processes (programs): • A server process PostgreSQL does not guarantee that DISTINCT causes the rows to be ordered. 3 This is only a conceptual model. The join is usually performed in a more efficient manner than actually comparing each possible pair

initial concepts for the system were presented in [ston86], and the definition of the initial data model appeared in [rowe87]. The design of the rule system at that time was described in [ston87a]. The rationale interact will make this chapter somewhat clearer. In database jargon, PostgreSQL uses a client/server model. A PostgreSQL session consists of the following cooperating processes (programs): • A server process cities table, and select the pairs of rows where these values match. Note This is only a conceptual model. The join is usually performed in a more efficient manner than actually comparing each possible pair

initial con- cepts for the system were presented in [ston86], and the definition of the initial data model appeared in [rowe87]. The design of the rule system at that time was described in [ston87a]. The rationale interact will make this chapter somewhat clearer. In database jargon, PostgreSQL uses a client/server model. A PostgreSQL session consists of the following cooperating processes (programs): • A server process PostgreSQL does not guarantee that DISTINCT causes the rows to be ordered. 3 This is only a conceptual model. The join is usually performed in a more efficient manner than actually comparing each possible pair

initial con- cepts for the system were presented in [ston86], and the definition of the initial data model appeared in [rowe87]. The design of the rule system at that time was described in [ston87a]. The rationale interact will make this chapter somewhat clearer. In database jargon, PostgreSQL uses a client/server model. A PostgreSQL session consists of the following cooperating processes (programs): • A server process cities table, and select the pairs of rows where these values match. Note This is only a conceptual model. The join is usually performed in a more efficient manner than actually comparing each possible pair

were presented in The design of POSTGRES , and the definition of the initial data model appeared in The POSTGRES data model . The design of the rule system at that time was described in The design of the interact will make this chapter somewhat clearer. In database jargon, PostgreSQL uses a client/server model. A PostgreSQL session consists of the follow- ing cooperating processes (programs): • A server process cities table, and select the pairs of rows where these values match. Note: This is only a conceptual model. The join is usually performed in a more efficient manner than actually comparing each possible pair

initial concepts for the system were presented in [ston86], and the definition of the initial data model appeared in [rowe87]. The design of the rule system at that time was described in [ston87a]. The rationale interact will make this chapter somewhat clearer. In database jargon, PostgreSQL uses a client/server model. A PostgreSQL session consists of the following cooperating processes (programs): • A server process cities table, and select the pairs of rows where these values match. Note This is only a conceptual model. The join is usually performed in a more efficient manner than actually comparing each possible pair