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August 16, 2021 13:51
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A sample client for using sstable-to-arrow.
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import pyarrow as pa | |
import socket | |
HOST = '127.0.0.1' | |
PORT = 9143 | |
def read_bytes(sock, n): | |
data = b'' | |
while len(data) < n: | |
more = sock.recv(n - len(data)) | |
if not more: | |
raise EOFError("Socket connection ended before reading specified number of bytes") | |
data += more | |
return data | |
def read_u8(sock): | |
data = read_bytes(sock, 8) | |
return int.from_bytes(data, byteorder='big') | |
# read data from socket | |
def fetch_data(): | |
with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as sock: | |
sock.connect((HOST, PORT)) | |
sock.sendall(b'hello world') | |
num_tables = read_u8(sock) | |
table_buffers = [] | |
for i in range(num_tables): | |
print('receiving table', i) | |
table_size = read_u8(sock) | |
buf = read_bytes(sock, table_size) | |
table_buffers.append(buf) | |
return table_buffers | |
buffers = fetch_data() | |
print("This demo doesn't use CUDA, so it won't be able to the performance benefits of using a GPU.") | |
for i, buffer in enumerate(buffers): | |
print("\n\nLoading table", i) | |
df = pa.ipc.open_stream(buffer).read_all().to_pandas() | |
print(df) | |
print('\n\n') | |
col = df['sensor_value'][df['sensor_value'] != float('-inf')] | |
print('mean of sensor_value:', col.mean()) |
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