NOTE: Because this client uses grpc library, it is safe to
share instances across threads. In multiprocessing scenarios, the best
practice is to create client instances after the invocation of
os.fork() by multiprocessing.pool.Pool or
multiprocessing.Process.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-08-28 UTC."],[],[],null,["Version latestkeyboard_arrow_down\n\n- [2.11.0 (latest)](/python/docs/reference/dataplex/latest/multiprocessing)\n- [2.10.2](/python/docs/reference/dataplex/2.10.2/multiprocessing)\n- [2.9.0](/python/docs/reference/dataplex/2.9.0/multiprocessing)\n- [2.8.0](/python/docs/reference/dataplex/2.8.0/multiprocessing)\n- [2.7.1](/python/docs/reference/dataplex/2.7.1/multiprocessing)\n- [2.6.0](/python/docs/reference/dataplex/2.6.0/multiprocessing)\n- [2.5.0](/python/docs/reference/dataplex/2.5.0/multiprocessing)\n- [2.4.0](/python/docs/reference/dataplex/2.4.0/multiprocessing)\n- [2.3.1](/python/docs/reference/dataplex/2.3.1/multiprocessing)\n- [2.2.2](/python/docs/reference/dataplex/2.2.2/multiprocessing)\n- [2.1.0](/python/docs/reference/dataplex/2.1.0/multiprocessing)\n- [2.0.1](/python/docs/reference/dataplex/2.0.1/multiprocessing)\n- [1.13.0](/python/docs/reference/dataplex/1.13.0/multiprocessing)\n- [1.12.3](/python/docs/reference/dataplex/1.12.3/multiprocessing)\n- [1.11.0](/python/docs/reference/dataplex/1.11.0/multiprocessing)\n- [1.10.0](/python/docs/reference/dataplex/1.10.0/multiprocessing)\n- [1.9.0](/python/docs/reference/dataplex/1.9.0/multiprocessing)\n- [1.8.1](/python/docs/reference/dataplex/1.8.1/multiprocessing)\n- [1.7.0](/python/docs/reference/dataplex/1.7.0/multiprocessing)\n- [1.6.2](/python/docs/reference/dataplex/1.6.2/multiprocessing)\n- [1.5.1](/python/docs/reference/dataplex/1.5.1/multiprocessing)\n- [1.4.3](/python/docs/reference/dataplex/1.4.3/multiprocessing)\n- [1.3.0](/python/docs/reference/dataplex/1.3.0/multiprocessing)\n- [1.2.0](/python/docs/reference/dataplex/1.2.0/multiprocessing)\n- [1.1.3](/python/docs/reference/dataplex/1.1.3/multiprocessing)\n- [1.0.1](/python/docs/reference/dataplex/1.0.1/multiprocessing)\n- [0.2.1](/python/docs/reference/dataplex/0.2.1/multiprocessing)\n- [0.1.0](/python/docs/reference/dataplex/0.1.0/multiprocessing) \n\nMultiprocessing\n===============\n\n**NOTE** : Because this client uses [`grpc`](https://grpc.github.io/grpc/python/grpc.html#module-grpc) library, it is safe to\nshare instances across threads. In multiprocessing scenarios, the best\npractice is to create client instances *after* the invocation of\n[`os.fork()`](https://docs.python.org/3/library/os.html#os.fork) by [`multiprocessing.pool.Pool`](https://docs.python.org/3/library/multiprocessing.html#multiprocessing.pool.Pool) or\n[`multiprocessing.Process`](https://docs.python.org/3/library/multiprocessing.html#multiprocessing.Process)."]]
