1 مستودع
Computation of table-level statistics to assist query optimizers in selecting efficient execution plans.
Distinct from Execution Statistics: None of the candidates cover database-level statistics used specifically for query plan optimization.
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Ibis is a portable Python dataframe library and multi-backend query engine that provides a unified interface for executing data transformations across diverse compute engines. It functions as a Python SQL expression compiler and dialect transpiler, allowing users to define data logic once and execute it across cloud warehouses, embedded databases, and distributed clusters without rewriting code. The project distinguishes itself through a database backend abstraction that decouples transformation logic from the underlying execution engine. It enables polyglot data workflows by mixing raw SQL s
Calculates and stores table statistics to optimize the generation of query execution plans.