| commit | ef0cc71a75d32c977889bde5191c61617dbb0927 | [log] [tgz] |
|---|---|---|
| author | Matthias Boehm <mboehm7@gmail.com> | Fri Jan 29 23:10:02 2021 +0100 |
| committer | Matthias Boehm <mboehm7@gmail.com> | Fri Jan 29 23:10:02 2021 +0100 |
| tree | 8f56b68705c900fe19daec71207576b99e05d29f | |
| parent | c29ac3eeb6bc9590bdc89b77bf2616ee9ca133c8 [diff] |
[SYSTEMDS-2814] Fix frame RDD caching logic (avoid excessive GC) This patch fixes the partially incorrect caching logic for distributed frame RDDs. So far, we always injected checkpoint instructions (caching directives) after persistent reads or whenever a reblock is required. However, for example a csv frame reblock after persistent read but before transformencode does not cause shuffle but caching it can cause severe garbage collection overhead due to many string objects. On the 1TB criteo dataset, this problem even lead to aborted jobs because GC pauses were so long that the heartbeat interval was exeeded and thus, executors got restarted.
Overview: SystemDS is a versatile system for the end-to-end data science lifecycle from data integration, cleaning, and feature engineering, over efficient, local and distributed ML model training, to deployment and serving. To this end, we aim to provide a stack of declarative languages with R-like syntax for (1) the different tasks of the data-science lifecycle, and (2) users with different expertise. These high-level scripts are compiled into hybrid execution plans of local, in-memory CPU and GPU operations, as well as distributed operations on Apache Spark. In contrast to existing systems - that either provide homogeneous tensors or 2D Datasets - and in order to serve the entire data science lifecycle, the underlying data model are DataTensors, i.e., tensors (multi-dimensional arrays) whose first dimension may have a heterogeneous and nested schema.
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Documentation: SystemDS Documentation
Python Documentation Python SystemDS Documentation
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Status and Build: SystemDS is renamed from SystemML which is an Apache Top Level Project. To build from source visit SystemDS Install from source
