reindex

When I try to rebuild an index on a table: ALTER INDEX ALL ON [dbo].[Allocations] REBUILD that works fine. But when I call EXECUTE sp_msForEachTable 'ALTER INDEX ALL ON ? REBUILD' I reach the same same table, and it fails with: Msg 1934, Level 16, State 1, Line 2 ALTER INDEX failed because the following SET options have incorrect settings: 'QUOTED_IDENTIFIER'. Verify that SET options are correct for use with indexed views and/or indexes on computed columns and/or filtered indexes and/or query notifications and/or XML data type methods and/or spatial index operations. And to confirm that it's

Lets say you have a collection with a field called "primary_key", {"primary_key":"1234", "name":"jimmy", "lastname":"page"} and I have an index on "primary_key". This collection has millions of rows, I want to see how expensive is to change primary_key for one of the records. Does it trigger a reindex of the entire table? or does it just reindex the changed record? in either case is that expensive to do? Updating an indexed field in mongodb causes an update of the index (or indices if you have more than one) that use it. It does not "reindex". Shouldn't be all that expensive - effectively you

We are looking to upgrade from Apache Solr 4.7 to ApacheSolr 5.2. upgraded server and run script to upgrade the data index. it is showing below errors. ./upgradeindex.sh -t 5 /home/solr Target version is 5 Downloading http://central.maven.org/maven2/org/apache/lucene/lucene-backward-codecs/4.10.4/lucene-backward-codecs-4.10.4.jar curl: (7) couldn't connect to host Downloading http://central.maven.org/maven2/org/apache/lucene/lucene-backward-codecs/5.5.4/lucene-backward-codecs-5.5.4.jar curl: (7) couldn't connect to host Downloading http://central.maven.org/maven2/org/apache/lucene/lucene

I have a series with a datetime index, and what I'd like is to interpolate this data using some other, arbitrary datetime index. Essentially what I want is how to make the following code snippet more or less work: from pandas import Series import datetime datetime_index = [datetime.datetime(2010, 1, 5), datetime.datetime(2010, 1, 10)] data_series = Series([5, 15], [datetime.datetime(2010, 1, 5), datetime.datetime(2010, 1, 15)]) def interpolating_reindex(data_series, datetime_index): """?????""" goal_series = interpolating_reindex(data_series, datetime_index) assert(goal_series == Series([5, 10

I have the following df: Timestamp A B C ... 2014-11-09 00:00:00 NaN 1 NaN NaN 2014-11-09 00:00:00 2 NaN NaN NaN 2014-11-09 00:00:00 NaN NaN 3 NaN 2014-11-09 08:24:00 NaN NaN 1 NaN 2014-11-09 08:24:00 105 NaN NaN NaN 2014-11-09 09:19:00 NaN NaN 23 NaN And I would like to make the following: Timestamp A B C ... 2014-11-09 00:00:00 2 1 3 NaN 2014-11-09 00:01:00 NaN NaN NaN NaN 2014-11-09 00:02:00 NaN NaN NaN NaN ... NaN NaN NaN NaN 2014-11-09 08:23:00 NaN NaN NaN NaN 2014-11-09 08:24:00 105 NaN 1 NaN 2014-11-09 08:25:00 NaN NaN NaN NaN 2014-11-09 08:26:00 NaN NaN NaN NaN 2014-11-09 08:27:00 NaN