Comments (2)
Efficient Python implementation would require finishing #41
from ustore.
The construction part may be just a direct call to ukv_docs_import
and ukv_graph_import_t
from #154.
After the construction, sampling (#153) should be performed to randomly selected items to be queried in the analytical part of the benchmarks. Over time that benchmark will replace the twitter benchmark.
from ustore.
Related Issues (20)
- Feature: Аdd all backends to Server-Client tests
- Feature: Add benchmark for `ustore_sample()`
- Bug: Segmentation fault, when run ucset benchmark in release mode.
- Bug: Twitter's benchmark is not working correctly with leveldb.
- Bug: Getting core dumped in the end of twitter's benchmark with rocksdb.
- Bug: Segmentation fault in client server LevelDB test HOT 1
- Bug: no module found ustore.ucset HOT 5
- Feature: Add logging mechanism for flight_server HOT 1
- Bug: Python build failed HOT 1
- Bug: Python NetworkX add_edges_from Arrow::Table fails HOT 1
- Bug: Memory leak in ustore_database_init functions HOT 1
- Feature: Retrieve metadata from server HOT 1
- Feature: Add DiGraph, MultiGraph and MultiDiGraph graph types in Python bindings HOT 11
- Feature: Python distribution for Mac HOT 2
- Bug: docs_ref clear throws error "Invalid Json!" HOT 1
- Feature: Set c++ default formatter clang HOT 1
- Feature: Improve 'Build and test Python wheels' of GitHub action HOT 1
- Bug: Directories aren't created before the tests run
- The automated release is failing 🚨
- Bug: Python error: RuntimeError: Opening RocksDB HOT 2
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from ustore.