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Add a /replication API for extracting the updates that happened on
synapse This is necessary for replicating the data in synapse to be visible to a separate service because presence and typing notifications aren't stored in a database so won't be visible to another process. This API can be used to either get the raw data by requesting the tables themselves or to just receive notifications for updates by following the streams meta-stream. Returns updates for each table requested a JSON array of arrays with a row for each row in the table. Each table is prefixed by a header row with the: name of the table, current stream_id position for the table, number of rows, number of columns and the names of the columns. This is followed by the rows that have been added to the server since the requester last asked. The API has a timeout and is hooked up to the notifier so that a slave can long poll for updates.
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15 changed files with 846 additions and 4 deletions
67
scripts-dev/tail-synapse.py
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67
scripts-dev/tail-synapse.py
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import requests
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import collections
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import sys
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import time
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import json
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Entry = collections.namedtuple("Entry", "name position rows")
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ROW_TYPES = {}
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def row_type_for_columns(name, column_names):
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column_names = tuple(column_names)
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row_type = ROW_TYPES.get((name, column_names))
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if row_type is None:
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row_type = collections.namedtuple(name, column_names)
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ROW_TYPES[(name, column_names)] = row_type
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return row_type
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def parse_response(content):
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streams = json.loads(content)
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result = {}
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for name, value in streams.items():
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row_type = row_type_for_columns(name, value["field_names"])
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position = value["position"]
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rows = [row_type(*row) for row in value["rows"]]
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result[name] = Entry(name, position, rows)
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return result
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def replicate(server, streams):
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return parse_response(requests.get(
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server + "/_synapse/replication",
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verify=False,
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params=streams
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).content)
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def main():
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server = sys.argv[1]
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streams = None
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while not streams:
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try:
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streams = {
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row.name: row.position
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for row in replicate(server, {"streams":"-1"})["streams"].rows
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}
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except requests.exceptions.ConnectionError as e:
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time.sleep(0.1)
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while True:
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try:
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results = replicate(server, streams)
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except:
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sys.stdout.write("connection_lost("+ repr(streams) + ")\n")
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break
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for update in results.values():
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for row in update.rows:
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sys.stdout.write(repr(row) + "\n")
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streams[update.name] = update.position
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if __name__=='__main__':
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main()
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