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32 changes: 32 additions & 0 deletions http/post_simple/python/client/README.md
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<!---
Licensed to the Apache Software Foundation (ASF) under one
or more contributor license agreements. See the NOTICE file
distributed with this work for additional information
regarding copyright ownership. The ASF licenses this file
to you under the Apache License, Version 2.0 (the
"License"); you may not use this file except in compliance
with the License. You may obtain a copy of the License at

http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing,
software distributed under the License is distributed on an
"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
KIND, either express or implied. See the License for the
specific language governing permissions and limitations
under the License.
-->

# HTTP Post Arrow Data: Simple Python Client Example using Requests

This directory contains a minimal example of an HTTP client implemented in Python using the `requests` library. The client:
1. Sends an HTTP POST request to a server.
2. Receives an HTTP 200 response from the server, with the response body containing an Arrow IPC stream of record batches.
3. Adds the record batches to a list as they are received.

To run this example, start one of the server examples in the parent directory, then:

```sh
pip install pyarrow requests
python client.py
```
47 changes: 47 additions & 0 deletions http/post_simple/python/client/client.py
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# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.

import requests
import pyarrow as pa
import time

start_time = time.time()

params = {'n_records': 100000}
url = 'http://localhost:8008'
response = requests.post(url, data={})

if response.status_code >= 400:
print (response.json())
elif response.status_code == 200:
buffer = response.content
batches = []

with pa.ipc.open_stream(buffer) as reader:
schema = reader.schema
try:
while True:
batches.append(reader.read_next_batch())
except StopIteration:
pass

end_time = time.time()
execution_time = end_time - start_time

print(f"{len(buffer)} bytes received")
print(f"{len(batches)} record batches received")
print(f"{execution_time} seconds elapsed")
38 changes: 38 additions & 0 deletions http/post_simple/python/server/README.md
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<!---
Licensed to the Apache Software Foundation (ASF) under one
or more contributor license agreements. See the NOTICE file
distributed with this work for additional information
regarding copyright ownership. The ASF licenses this file
to you under the Apache License, Version 2.0 (the
"License"); you may not use this file except in compliance
with the License. You may obtain a copy of the License at

http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing,
software distributed under the License is distributed on an
"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
KIND, either express or implied. See the License for the
specific language governing permissions and limitations
under the License.
-->

# HTTP GET Arrow Data: Simple Python Server Example

This directory contains a minimal example of an HTTP server implemented in Python. The server:
1. Creates a list of record batches and populates it with synthesized data.
2. Listens for HTTP POST requests from clients.
3. Upon receiving a request, sends an HTTP 200 response with the body containing an Arrow IPC stream of record batches.

To run this example:

```sh
pip install fastapi
pip install "uvicorn[standard]"
pip install pyarrow
# start the server using uvicorn
uvicorn server:app --port 8008
```

> [!NOTE]
> This example uses Python's built-in [`http.server`](https://docs.python.org/3/library/http.server.html) module. This server does not implement chunked transfer encoding automatically like more sophisticated HTTP servers do, so this example implements it manually, with each chunk consisting of one Arrow record batch. Note that in servers that implement chunked transfer encoding automatically, each chunk will generally not correspond to one Arrow record batch.
89 changes: 89 additions & 0 deletions http/post_simple/python/server/server.py
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# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.

import pyarrow as pa
import urllib.parse
from random import randbytes
import io

from fastapi import Request, FastAPI
from fastapi.responses import StreamingResponse, JSONResponse

app = FastAPI()

def get_post_data_and_schema(total_records: int):
schema = pa.schema([('a', pa.int64()), ('b', pa.int64()),
('c', pa.int64()), ('d', pa.int64())])
length = 4096
ncolumns = 4

arrays = []

for x in range(0, ncolumns):
buffer = pa.py_buffer(randbytes(length * 8))
arrays.append(
pa.Int64Array.from_buffers(pa.int64(),
length, [None, buffer],
null_count=0))

batch = pa.record_batch(arrays, schema)
batches = []

records = 0
while records < total_records:
if records + length > total_records:
last_length = total_records - records
batches.append(batch.slice(0, last_length))
records += last_length
else:
batches.append(batch)
records += length

return batches, schema


def make_reader(schema, batches):
return pa.RecordBatchReader.from_batches(schema, batches)


def generate_batches(schema, reader):
with io.BytesIO() as sink, pa.ipc.new_stream(sink, schema) as writer:
for batch in reader:
sink.seek(0)
sink.truncate(0)
writer.write_batch(batch)
yield sink.getvalue()

sink.seek(0)
sink.truncate(0)
writer.close()
yield sink.getvalue()

@app.post("/")
async def main(request: Request):
request_body = await request.body()
params = urllib.parse.parse_qs(request_body.decode('ascii'))
if 'n_records' not in params.keys():
return JSONResponse(status_code=400, content='request failed. n_records value not found in request data.')

n_records = int(params['n_records'][0])

batches, schema = get_post_data_and_schema(n_records)
def iterbuffer():
for buffer in generate_batches(schema, make_reader(schema, batches)):
yield buffer
return StreamingResponse(iterbuffer())