504 lines
16 KiB
Python
504 lines
16 KiB
Python
# -*- coding: utf-8 -*-
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# Copyright 2014 OpenMarket Ltd
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import logging
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from twisted.internet import defer
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from synapse.api.errors import StoreError
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import collections
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import copy
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import json
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logger = logging.getLogger(__name__)
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sql_logger = logging.getLogger("synapse.storage.SQL")
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class LoggingTransaction(object):
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"""An object that almost-transparently proxies for the 'txn' object
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passed to the constructor. Adds logging to the .execute() method."""
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__slots__ = ["txn"]
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def __init__(self, txn):
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object.__setattr__(self, "txn", txn)
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def __getattribute__(self, name):
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if name == "execute":
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return object.__getattribute__(self, "execute")
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return getattr(object.__getattribute__(self, "txn"), name)
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def __setattr__(self, name, value):
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setattr(object.__getattribute__(self, "txn"), name, value)
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def execute(self, sql, *args, **kwargs):
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# TODO(paul): Maybe use 'info' and 'debug' for values?
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sql_logger.debug("[SQL] %s", sql)
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try:
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if args and args[0]:
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values = args[0]
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sql_logger.debug("[SQL values] " +
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", ".join(("<%s>",) * len(values)), *values)
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except:
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# Don't let logging failures stop SQL from working
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pass
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# TODO(paul): Here would be an excellent place to put some timing
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# measurements, and log (warning?) slow queries.
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return object.__getattribute__(self, "txn").execute(
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sql, *args, **kwargs
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)
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class SQLBaseStore(object):
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def __init__(self, hs):
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self.hs = hs
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self._db_pool = hs.get_db_pool()
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self.event_factory = hs.get_event_factory()
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self._clock = hs.get_clock()
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def runInteraction(self, func, *args, **kwargs):
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"""Wraps the .runInteraction() method on the underlying db_pool."""
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def inner_func(txn, *args, **kwargs):
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return func(LoggingTransaction(txn), *args, **kwargs)
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return self._db_pool.runInteraction(inner_func, *args, **kwargs)
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def cursor_to_dict(self, cursor):
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"""Converts a SQL cursor into an list of dicts.
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Args:
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cursor : The DBAPI cursor which has executed a query.
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Returns:
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A list of dicts where the key is the column header.
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"""
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col_headers = list(column[0] for column in cursor.description)
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results = list(
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dict(zip(col_headers, row)) for row in cursor.fetchall()
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)
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return results
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def _execute(self, decoder, query, *args):
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"""Runs a single query for a result set.
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Args:
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decoder - The function which can resolve the cursor results to
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something meaningful.
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query - The query string to execute
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*args - Query args.
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Returns:
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The result of decoder(results)
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"""
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logger.debug(
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"[SQL] %s Args=%s Func=%s",
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query, args, decoder.__name__ if decoder else None
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)
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def interaction(txn):
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cursor = txn.execute(query, args)
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if decoder:
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return decoder(cursor)
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else:
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return cursor.fetchall()
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return self.runInteraction(interaction)
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def _execute_and_decode(self, query, *args):
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return self._execute(self.cursor_to_dict, query, *args)
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# "Simple" SQL API methods that operate on a single table with no JOINs,
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# no complex WHERE clauses, just a dict of values for columns.
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def _simple_insert(self, table, values, or_replace=False):
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"""Executes an INSERT query on the named table.
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Args:
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table : string giving the table name
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values : dict of new column names and values for them
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or_replace : bool; if True performs an INSERT OR REPLACE
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"""
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return self.runInteraction(
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self._simple_insert_txn, table, values, or_replace=or_replace
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)
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def _simple_insert_txn(self, txn, table, values, or_replace=False):
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sql = "%s INTO %s (%s) VALUES(%s)" % (
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("INSERT OR REPLACE" if or_replace else "INSERT"),
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table,
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", ".join(k for k in values),
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", ".join("?" for k in values)
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)
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txn.execute(sql, values.values())
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return txn.lastrowid
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def _simple_select_one(self, table, keyvalues, retcols,
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allow_none=False):
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"""Executes a SELECT query on the named table, which is expected to
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return a single row, returning a single column from it.
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Args:
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table : string giving the table name
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keyvalues : dict of column names and values to select the row with
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retcols : list of strings giving the names of the columns to return
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allow_none : If true, return None instead of failing if the SELECT
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statement returns no rows
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"""
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return self._simple_selectupdate_one(
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table, keyvalues, retcols=retcols, allow_none=allow_none
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)
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@defer.inlineCallbacks
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def _simple_select_one_onecol(self, table, keyvalues, retcol,
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allow_none=False):
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"""Executes a SELECT query on the named table, which is expected to
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return a single row, returning a single column from it."
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Args:
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table : string giving the table name
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keyvalues : dict of column names and values to select the row with
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retcol : string giving the name of the column to return
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"""
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ret = yield self._simple_select_one(
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table=table,
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keyvalues=keyvalues,
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retcols=[retcol],
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allow_none=allow_none
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)
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if ret:
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defer.returnValue(ret[retcol])
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else:
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defer.returnValue(None)
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@defer.inlineCallbacks
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def _simple_select_onecol(self, table, keyvalues, retcol):
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"""Executes a SELECT query on the named table, which returns a list
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comprising of the values of the named column from the selected rows.
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Args:
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table (str): table name
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keyvalues (dict): column names and values to select the rows with
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retcol (str): column whos value we wish to retrieve.
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Returns:
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Deferred: Results in a list
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"""
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sql = "SELECT %(retcol)s FROM %(table)s WHERE %(where)s" % {
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"retcol": retcol,
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"table": table,
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"where": " AND ".join("%s = ?" % k for k in keyvalues.keys()),
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}
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def func(txn):
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txn.execute(sql, keyvalues.values())
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return txn.fetchall()
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res = yield self.runInteraction(func)
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defer.returnValue([r[0] for r in res])
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def _simple_select_list(self, table, keyvalues, retcols):
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"""Executes a SELECT query on the named table, which may return zero or
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more rows, returning the result as a list of dicts.
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Args:
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table : string giving the table name
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keyvalues : dict of column names and values to select the rows with
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retcols : list of strings giving the names of the columns to return
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"""
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sql = "SELECT %s FROM %s WHERE %s" % (
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", ".join(retcols),
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table,
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" AND ".join("%s = ?" % (k) for k in keyvalues)
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)
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def func(txn):
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txn.execute(sql, keyvalues.values())
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return self.cursor_to_dict(txn)
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return self.runInteraction(func)
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def _simple_update_one(self, table, keyvalues, updatevalues,
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retcols=None):
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"""Executes an UPDATE query on the named table, setting new values for
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columns in a row matching the key values.
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Args:
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table : string giving the table name
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keyvalues : dict of column names and values to select the row with
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updatevalues : dict giving column names and values to update
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retcols : optional list of column names to return
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If present, retcols gives a list of column names on which to perform
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a SELECT statement *before* performing the UPDATE statement. The values
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of these will be returned in a dict.
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These are performed within the same transaction, allowing an atomic
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get-and-set. This can be used to implement compare-and-set by putting
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the update column in the 'keyvalues' dict as well.
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"""
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return self._simple_selectupdate_one(table, keyvalues, updatevalues,
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retcols=retcols)
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def _simple_selectupdate_one(self, table, keyvalues, updatevalues=None,
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retcols=None, allow_none=False):
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""" Combined SELECT then UPDATE."""
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if retcols:
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select_sql = "SELECT %s FROM %s WHERE %s" % (
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", ".join(retcols),
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table,
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" AND ".join("%s = ?" % (k) for k in keyvalues)
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)
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if updatevalues:
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update_sql = "UPDATE %s SET %s WHERE %s" % (
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table,
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", ".join("%s = ?" % (k) for k in updatevalues),
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" AND ".join("%s = ?" % (k) for k in keyvalues)
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)
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def func(txn):
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ret = None
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if retcols:
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txn.execute(select_sql, keyvalues.values())
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row = txn.fetchone()
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if not row:
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if allow_none:
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return None
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raise StoreError(404, "No row found")
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if txn.rowcount > 1:
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raise StoreError(500, "More than one row matched")
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ret = dict(zip(retcols, row))
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if updatevalues:
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txn.execute(
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update_sql,
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updatevalues.values() + keyvalues.values()
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)
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if txn.rowcount == 0:
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raise StoreError(404, "No row found")
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if txn.rowcount > 1:
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raise StoreError(500, "More than one row matched")
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return ret
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return self.runInteraction(func)
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def _simple_delete_one(self, table, keyvalues):
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"""Executes a DELETE query on the named table, expecting to delete a
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single row.
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Args:
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table : string giving the table name
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keyvalues : dict of column names and values to select the row with
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"""
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sql = "DELETE FROM %s WHERE %s" % (
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table,
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" AND ".join("%s = ?" % (k) for k in keyvalues)
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)
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def func(txn):
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txn.execute(sql, keyvalues.values())
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if txn.rowcount == 0:
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raise StoreError(404, "No row found")
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if txn.rowcount > 1:
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raise StoreError(500, "more than one row matched")
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return self.runInteraction(func)
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def _simple_max_id(self, table):
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"""Executes a SELECT query on the named table, expecting to return the
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max value for the column "id".
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Args:
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table : string giving the table name
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"""
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sql = "SELECT MAX(id) AS id FROM %s" % table
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def func(txn):
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txn.execute(sql)
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max_id = self.cursor_to_dict(txn)[0]["id"]
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if max_id is None:
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return 0
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return max_id
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return self.runInteraction(func)
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def _parse_event_from_row(self, row_dict):
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d = copy.deepcopy({k: v for k, v in row_dict.items() if v})
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d.pop("stream_ordering", None)
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d.pop("topological_ordering", None)
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d.pop("processed", None)
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d.update(json.loads(row_dict["unrecognized_keys"]))
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d["content"] = json.loads(d["content"])
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del d["unrecognized_keys"]
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return self.event_factory.create_event(
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etype=d["type"],
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**d
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)
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def _parse_events(self, rows):
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return self.runInteraction(self._parse_events_txn, rows)
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def _parse_events_txn(self, txn, rows):
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events = [self._parse_event_from_row(r) for r in rows]
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sql = "SELECT * FROM events WHERE event_id = ?"
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for ev in events:
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if hasattr(ev, "prev_state"):
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# Load previous state_content.
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# TODO: Should we be pulling this out above?
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cursor = txn.execute(sql, (ev.prev_state,))
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prevs = self.cursor_to_dict(cursor)
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if prevs:
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prev = self._parse_event_from_row(prevs[0])
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ev.prev_content = prev.content
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return events
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class Table(object):
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""" A base class used to store information about a particular table.
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"""
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table_name = None
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""" str: The name of the table """
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fields = None
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""" list: The field names """
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EntryType = None
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""" Type: A tuple type used to decode the results """
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_select_where_clause = "SELECT %s FROM %s WHERE %s"
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_select_clause = "SELECT %s FROM %s"
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_insert_clause = "INSERT OR REPLACE INTO %s (%s) VALUES (%s)"
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@classmethod
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def select_statement(cls, where_clause=None):
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"""
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Args:
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where_clause (str): The WHERE clause to use.
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Returns:
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str: An SQL statement to select rows from the table with the given
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WHERE clause.
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"""
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if where_clause:
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return cls._select_where_clause % (
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", ".join(cls.fields),
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cls.table_name,
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where_clause
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)
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else:
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return cls._select_clause % (
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", ".join(cls.fields),
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cls.table_name,
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)
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@classmethod
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def insert_statement(cls):
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return cls._insert_clause % (
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cls.table_name,
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", ".join(cls.fields),
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", ".join(["?"] * len(cls.fields)),
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)
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@classmethod
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def decode_single_result(cls, results):
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""" Given an iterable of tuples, return a single instance of
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`EntryType` or None if the iterable is empty
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Args:
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results (list): The results list to convert to `EntryType`
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Returns:
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EntryType: An instance of `EntryType`
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"""
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results = list(results)
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if results:
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return cls.EntryType(*results[0])
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else:
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return None
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@classmethod
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def decode_results(cls, results):
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""" Given an iterable of tuples, return a list of `EntryType`
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Args:
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results (list): The results list to convert to `EntryType`
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Returns:
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list: A list of `EntryType`
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"""
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return [cls.EntryType(*row) for row in results]
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@classmethod
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def get_fields_string(cls, prefix=None):
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if prefix:
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to_join = ("%s.%s" % (prefix, f) for f in cls.fields)
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else:
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to_join = cls.fields
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return ", ".join(to_join)
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class JoinHelper(object):
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""" Used to help do joins on tables by looking at the tables' fields and
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creating a list of unique fields to use with SELECTs and a namedtuple
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to dump the results into.
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Attributes:
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taples (list): List of `Table` classes
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EntryType (type)
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"""
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def __init__(self, *tables):
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self.tables = tables
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res = []
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for table in self.tables:
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res += [f for f in table.fields if f not in res]
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self.EntryType = collections.namedtuple("JoinHelperEntry", res)
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def get_fields(self, **prefixes):
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"""Get a string representing a list of fields for use in SELECT
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statements with the given prefixes applied to each.
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For example::
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JoinHelper(PdusTable, StateTable).get_fields(
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PdusTable="pdus",
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StateTable="state"
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)
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"""
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res = []
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for field in self.EntryType._fields:
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for table in self.tables:
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if field in table.fields:
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res.append("%s.%s" % (prefixes[table.__name__], field))
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break
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return ", ".join(res)
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def decode_results(self, rows):
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return [self.EntryType(*row) for row in rows]
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