reindex

pandas reindex DataFrame with datetime objects

旧城冷巷雨未停 提交于 2019-12-03 17:18:01
问题 Is it possible to reindex a pandas DataFrame using a column made up of datetime objects? I have a DataFrame df with the following columns: Int64Index: 19610 entries, 0 to 19609 Data columns: cntr 19610 non-null values #int datflt 19610 non-null values #float dtstamp 19610 non-null values #datetime object DOYtimestamp 19610 non-null values #float dtypes: int64(1), float64(2), object(1) I can reindex the df easily along DOYtimestamp with: df.reindex(index=df.dtstamp) and DOYtimestamp has the

ALTER INDEX failed because of QUOTED_IDENTIFIER when running from sp_msForEachTable

放肆的年华 提交于 2019-12-03 12:18:16
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

Does mongodb reindex if you change the field that it is used in index?

徘徊边缘 提交于 2019-12-02 10:22:40
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

Apache Solr index upgrade from 4.7 to 5.2

穿精又带淫゛_ 提交于 2019-12-02 09:34:27
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

ElasticSearch - Reindexing your data with zero downtime

谁都会走 提交于 2019-12-01 21:59:01
问题 https://www.elastic.co/blog/changing-mapping-with-zero-downtime/ I try to create a new index and reindexing my data with zero downtime with this guide. Now I have an index called "photoshooter" and I follow the steps 1) Create new index "photoshooter_v1" with the new mapping... (Done) 2) Create alias... curl -XPOST localhost:9200/_aliases -d ' { "actions": [ { "add": { "alias": "photoshooter", "index": "photoshooter_v1" }} ] } and I get this error... { "error": "InvalidAliasNameException[

How can I do an interpolating reindex in pandas using datetime indices?

南笙酒味 提交于 2019-12-01 20:27:45
问题 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): """?????"

How can I do an interpolating reindex in pandas using datetime indices?

末鹿安然 提交于 2019-12-01 19:56:52
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

“ValueError: cannot reindex from a duplicate axis”

被刻印的时光 ゝ 提交于 2019-11-30 20:36:57
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

Reindexing Elastic search via Bulk API, scan and scroll

笑着哭i 提交于 2019-11-30 06:38:31
问题 I am trying to re-index my Elastic search setup, currently looking at the Elastic search documentation and an example using the Python API I'm a little bit confused as to how this all works though. I was able to obtain the scroll ID from the Python API: es = Elasticsearch("myhost") index = "myindex" query = {"query":{"match_all":{}}} response = es.search(index= index, doc_type= "my-doc-type", body= query, search_type= "scan", scroll= "10m") scroll_id = response["_scroll_id"] Now my question

rake sunspot:reindex rake aborted! RSolr::Error::Http - 404 Not Found

丶灬走出姿态 提交于 2019-11-29 22:54:11
问题 I can no longer reindex and cannot resolve this issue. Spend several hours digging the web for this issue. ** *regarding production environment * development goes ok. :( How would one fix this? rake sunspot:reindex rake aborted! RSolr::Error::Http - 404 Not Found Error: Not Found Request Data: "<?xml version=\"1.0\" encoding=\"UTF-8\"?><delete><query>type:Match</query></delete>" Backtrace: /srv/books/shared/bundle/ruby/2.0.0/gems/rsolr-1.0.9/lib/rsolr/client.rb:268:in `adapt_response' /srv