NOTE: Because this client usesgrpclibrary, it is safe to
share instances across threads. In multiprocessing scenarios, the best
practice is to create client instancesafterthe invocation ofos.fork()bymultiprocessing.pool.Poolormultiprocessing.Process.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-09-04 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)."]]
