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ASF GitHub Bot commented on ARROW-2195: --------------------------------------- pitrou commented on a change in pull request #1807: ARROW-2195: [Plasma] Return auto-releasing buffers URL: https://github.com/apache/arrow/pull/1807#discussion_r178614666 ########## File path: cpp/src/plasma/client.cc ########## @@ -384,6 +407,22 @@ Status PlasmaClient::Get(const ObjectID* object_ids, int64_t num_objects, return Status::OK(); } +Status PlasmaClient::Get(const ObjectID* object_ids, int64_t num_objects, + int64_t timeout_ms, ObjectBuffer* object_buffers) { + const auto wrap_buffer = [](const ObjectID& object_id, Review comment: That sounds a bit brittle. You want to have a single `PlasmaBuffer` per exported (e.g. mmap'ed) piece of memory, but both data and metadata share that piece of memory. ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org > [Plasma] Segfault when retrieving RecordBatch from plasma store > --------------------------------------------------------------- > > Key: ARROW-2195 > URL: https://issues.apache.org/jira/browse/ARROW-2195 > Project: Apache Arrow > Issue Type: Bug > Components: Plasma (C++), Python > Affects Versions: 0.8.0 > Reporter: Philipp Moritz > Priority: Major > Labels: pull-request-available > Fix For: 0.10.0 > > > It can be reproduced with the following script: > {code:python} > import pyarrow as pa > import pyarrow.plasma as plasma > def retrieve1(): > client = plasma.connect('test', "", 0) > key = "keynumber1keynumber1" > pid = plasma.ObjectID(bytearray(key,'UTF-8')) > [buff] = client .get_buffers([pid]) > batch = pa.RecordBatchStreamReader(buff).read_next_batch() > print(batch) > print(batch.schema) > print(batch[0]) > return batch > client = plasma.connect('test', "", 0) > test1 = [1, 12, 23, 3, 21, 34] > test1 = pa.array(test1, pa.int32()) > batch = pa.RecordBatch.from_arrays([test1], ['FIELD1']) > key = "keynumber1keynumber1" > pid = plasma.ObjectID(bytearray(key,'UTF-8')) > sink = pa.MockOutputStream() > stream_writer = pa.RecordBatchStreamWriter(sink, batch.schema) > stream_writer.write_batch(batch) > stream_writer.close() > bff = client.create(pid, sink.size()) > stream = pa.FixedSizeBufferWriter(bff) > writer = pa.RecordBatchStreamWriter(stream, batch.schema) > writer.write_batch(batch) > client.seal(pid) > batch = retrieve1() > print(batch) > print(batch.schema) > print(batch[0]) > {code} > > Preliminary backtrace: > > {code} > CESS (code=1, address=0x111138158) > frame #0: 0x000000010e6457fc > lib.so`__pyx_pw_7pyarrow_3lib_10Int32Value_1as_py(_object*, _object*) + 28 > lib.so`__pyx_pw_7pyarrow_3lib_10Int32Value_1as_py: > -> 0x10e6457fc <+28>: movslq (%rdx,%rcx,4), %rdi > 0x10e645800 <+32>: callq 0x10e698170 ; symbol stub for: > PyInt_FromLong > 0x10e645805 <+37>: testq %rax, %rax > 0x10e645808 <+40>: je 0x10e64580c ; <+44> > (lldb) bt > * thread #1: tid = 0xf1378e, 0x000000010e6457fc > lib.so`__pyx_pw_7pyarrow_3lib_10Int32Value_1as_py(_object*, _object*) + 28, > queue = 'com.apple.main-thread', stop reason = EXC_BAD_ACCESS (code=1, > address=0x111138158) > * frame #0: 0x000000010e6457fc > lib.so`__pyx_pw_7pyarrow_3lib_10Int32Value_1as_py(_object*, _object*) + 28 > frame #1: 0x000000010e5ccd35 lib.so`__Pyx_PyObject_CallNoArg(_object*) + > 133 > frame #2: 0x000000010e613b25 > lib.so`__pyx_pw_7pyarrow_3lib_10ArrayValue_3__repr__(_object*) + 933 > frame #3: 0x000000010c2f83bc libpython2.7.dylib`PyObject_Repr + 60 > frame #4: 0x000000010c35f651 libpython2.7.dylib`PyEval_EvalFrameEx + 22305 > {code} -- This message was sent by Atlassian JIRA (v7.6.3#76005)