[ https://issues.apache.org/jira/browse/ARROW-1792?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Lu Qi closed ARROW-1792. ------------------------- Resolution: Later > [Plasma C++] continuous write tensor failed > ------------------------------------------- > > Key: ARROW-1792 > URL: https://issues.apache.org/jira/browse/ARROW-1792 > Project: Apache Arrow > Issue Type: Bug > Components: Plasma (C++) > Environment: ubuntu 14.04 gcc 4.8.4 > Reporter: Lu Qi > Original Estimate: 288h > Remaining Estimate: 288h > > start plasma using "plasma_store -m 8000000000 -s /tmp/plasma" > write tensor in python using > {code:python} > for i in range(10): > client = plasma.connect("/tmp/plasma", "", 0) > x = np.random.rand(1000,1000,5*256).astype("float32") # write 5 GB > object_id = pa.plasma.ObjectID(random_object_id()) > tensor = pa.Tensor.from_numpy(x) > data_size = pa.get_tensor_size(tensor) > buf = client.create(object_id, data_size) > stream = pa.FixedSizeBufferWriter(buf) > stream.set_memcopy_threads(6) > pa.write_tensor(tensor, stream) > client.seal(object_id) > # client.release(object_id) > # client.disconnect() > print(i) > {code} > The error is like below: > pyarrow.lib.PlasmaStoreFull: object does not fit in the plasma store > If I add "client.release(object_id)" ,the error is: > /arrow/cpp/src/plasma/client.cc296 Check failed: object_entry != > objects_in_use_.end() > Also,sometimes error is: > buf = client.create(object_id, data_size) > File "pyarrow/plasma.pyx", line 301, in pyarrow.plasma.PlasmaClient.create > (/arrow/python/build/temp.linux-x86_64-2.7/plasma.cxx:4382) > File "pyarrow/error.pxi", line 79, in pyarrow.lib.check_status > (/arrow/python/build/temp.linux-x86_64-2.7/lib.cxx:7888) > pyarrow.lib.ArrowIOError: Broken pipe > After adding "client.disconnect()" it seems to work , but using the code > below will fail: > {code:python} > client = plasma.connect("/tmp/plasma", "", 0) > for i in range(10): > x = np.random.rand(1000,1000,5*256).astype("float32") // write 5 GB > object_id = pa.plasma.ObjectID(random_object_id()) > tensor = pa.Tensor.from_numpy(x) > data_size = pa.get_tensor_size(tensor) > buf = client.create(object_id, data_size) > stream = pa.FixedSizeBufferWriter(buf) > stream.set_memcopy_threads(6) > pa.write_tensor(tensor, stream) > client.seal(object_id) > # client.release(object_id) > # client.disconnect() > print(i) > {code} > plus: I have input another issue about the memory evict policy [Arrow-1795] -- This message was sent by Atlassian JIRA (v6.4.14#64029)