Replicated Table Data 272 VMware Greenplum 6 Documentation VMware by Broadcom 13 Concurrency Improvements in Greenplum 6 272 Additional Contrib Modules 273 PXF Version 5.8.1 273 Additional Greenplum function with zero arguments was used as a filter for NULL rejection. 181646913 : Resolves a C++ compiler and nullptr usage mismatch by using NULL instead. Data Flow 32076 : Resolves an issue where Greenplum Database 6.16.0 includes MADlib version 1.18.0, which introduces new Deep Learning features, improvements, and bug fixes. See the MADlib 1.18.0 Release Notes for a complete list of changes. The gp_sparse_vector

Features 239 PL/pgSQL Procedural Language Enhancements 239 Replicated Table Data 240 Concurrency Improvements in Greenplum 6 240 Additional Contrib Modules 241 PXF Version 5.8.1 241 Additional Greenplum function with zero arguments was used as a filter for NULL rejection. 181646913 Resolves a C++ compiler and nullptr usage mismatch by using NULL instead. Data Flow 32076 Resolves an issue where Greenplum Database 6.16.0 includes MADlib version 1.18.0, which introduces new Deep Learning features, improvements, and bug fixes. See the MADlib 1.18.0 Release Notes for a complete list of changes. The gp_sparse_vector

Features 232 PL/pgSQL Procedural Language Enhancements 232 Replicated Table Data 232 Concurrency Improvements in Greenplum 6 233 Additional Contrib Modules 233 PXF Version 5.8.1 234 Additional Greenplum function with zero arguments was used as a filter for NULL rejection. 181646913 Resolves a C++ compiler and nullptr usage mismatch by using NULL instead. Data Flow 32076 Resolves an issue where Greenplum Database 6.16.0 includes MADlib version 1.18.0, which introduces new Deep Learning features, improvements, and bug fixes. See the MADlib 1.18.0 Release Notes for a complete list of changes. The gp_sparse_vector

Features 258 PL/pgSQL Procedural Language Enhancements 258 Replicated Table Data 258 Concurrency Improvements in Greenplum 6 259 Additional Contrib Modules 259 PXF Version 5.8.1 260 VMware Greenplum 6 function with zero arguments was used as a filter for NULL rejection. 181646913 : Resolves a C++ compiler and nullptr usage mismatch by using NULL instead. Data Flow 32076 : Resolves an issue where Greenplum Database 6.16.0 includes MADlib version 1.18.0, which introduces new Deep Learning features, improvements, and bug fixes. See the MADlib 1.18.0 Release Notes for a complete list of changes. The gp_sparse_vector

Features 229 PL/pgSQL Procedural Language Enhancements 229 Replicated Table Data 229 Concurrency Improvements in Greenplum 6 230 Additional Contrib Modules 230 PXF Version 5.8.1 231 Additional Greenplum function with zero arguments was used as a filter for NULL rejection. 181646913 : Resolves a C++ compiler and nullptr usage mismatch by using NULL instead. Data Flow 32076 : Resolves an issue where Greenplum Database 6.16.0 includes MADlib version 1.18.0, which introduces new Deep Learning features, improvements, and bug fixes. See the MADlib 1.18.0 Release Notes for a complete list of changes. The gp_sparse_vector

Features 207 PL/pgSQL Procedural Language Enhancements 208 Replicated Table Data 208 Concurrency Improvements in Greenplum 6 208 Additional Contrib Modules 209 PXF Version 5.8.1 209 Additional Greenplum function with zero arguments was used as a filter for NULL rejection. 181646913 Resolves a C++ compiler and nullptr usage mismatch by using NULL instead. Data Flow 32076 Resolves an issue where Greenplum Database 6.16.0 includes MADlib version 1.18.0, which introduces new Deep Learning features, improvements, and bug fixes. See the MADlib 1.18.0 Release Notes for a complete list of changes. The gp_sparse_vector

Features 216 PL/pgSQL Procedural Language Enhancements 216 Replicated Table Data 217 Concurrency Improvements in Greenplum 6 217 Additional Contrib Modules 218 PXF Version 5.8.1 218 Additional Greenplum function with zero arguments was used as a filter for NULL rejection. 181646913 : Resolves a C++ compiler and nullptr usage mismatch by using NULL instead. VMware Tanzu Greenplum v6.20 Documentation VMware Database 6.16.0 includes MADlib version 1.18.0, which introduces new Deep Learning features, improvements, and bug fixes. See the MADlib 1.18.0 Release Notes for a complete list of changes. The gp_sparse_vector

Features 211 PL/pgSQL Procedural Language Enhancements 211 Replicated Table Data 212 Concurrency Improvements in Greenplum 6 212 Additional Contrib Modules 213 PXF Version 5.8.1 213 Additional Greenplum Database 6.16.0 includes MADlib version 1.18.0, which introduces new Deep Learning features, improvements, and bug fixes. See the MADlib 1.18.0 Release Notes for a complete list of changes. The gp_sparse_vector MADlib version 1.17, which introduces new Deep Learning features, k-Means clustering, and other improvements and bug fixes. See the Apache MADlib page for additional information and Release Notes. Resolved

Features 219 PL/pgSQL Procedural Language Enhancements 219 Replicated Table Data 220 Concurrency Improvements in Greenplum 6 220 Additional Contrib Modules 221 PXF Version 5.8.1 221 Additional Greenplum Database 6.16.0 includes MADlib version 1.18.0, which introduces new Deep Learning features, improvements, and bug fixes. See the MADlib 1.18.0 Release Notes for a complete list of changes. The gp_sparse_vector MADlib version 1.17, which introduces new Deep Learning features, k-Means clustering, and other improvements and bug fixes. See the Apache MADlib page for additional information and Release Notes. Resolved

Release 7.0 Release Date: 2023-09-28 Key New Features Greenplum Database introduces substantial improvements to resource group-based resource management, such as support for Linux Control Groups v2, simplified table freelist to reduce contention on multi-CPU- socket servers. There are new performance improvements when using atomic operations, rather than a spinlock, to protect an LWLock’s wait queue. Greenplum with append-optimized tables. Column storage is compressible. It also can provide performance improvements as you only need to return the columns of interest to you. All compression algorithms can be