indexing

Multicolumn lookup

半城伤御伤魂 提交于 2020-02-08 10:04:49
问题 There are a lot of posts that relate, but I haven't found one quite like this. I am currently going through excel to help out in speeding up a process a little more. The excel file has two spreadsheets. One is data the second is the summary. On the data spreadsheet, I have the first column as names, and the next 7 columns with data values (Not all filled). Name Data1 Data2 Data3 Country Address VA 123 456 621 USA ExampleSt. MD 123 France 123Street DC 621 Korea 999Avenue UseCol Value Data2 456

Solr Multilingual Indexing with one field

回眸只為那壹抹淺笑 提交于 2020-02-08 09:46:40
问题 Our current production index size is 1.5 TB with 3 shards. Currently we have the following field type: <fieldType name="text_ngram" class="solr.TextField" positionIncrementGap="100"> <analyzer type="query"> <tokenizer class="solr.KeywordTokenizerFactory"/> <filter class="solr.LowerCaseFilterFactory"/> </analyzer> <analyzer type="index"> <tokenizer class="solr.KeywordTokenizerFactory"/> <filter class="solr.LowerCaseFilterFactory"/> <filter class="solr.CustomNGramFilterFactory" minGramSize="3"

Solr Multilingual Indexing with one field

橙三吉。 提交于 2020-02-08 09:45:33
问题 Our current production index size is 1.5 TB with 3 shards. Currently we have the following field type: <fieldType name="text_ngram" class="solr.TextField" positionIncrementGap="100"> <analyzer type="query"> <tokenizer class="solr.KeywordTokenizerFactory"/> <filter class="solr.LowerCaseFilterFactory"/> </analyzer> <analyzer type="index"> <tokenizer class="solr.KeywordTokenizerFactory"/> <filter class="solr.LowerCaseFilterFactory"/> <filter class="solr.CustomNGramFilterFactory" minGramSize="3"

Dynamic indexes while zooming in Python Bokeh

雨燕双飞 提交于 2020-02-08 07:31:32
问题 I am fairly new to Bokeh and try to achieve the following: I have a dataset with rows containing dates in the format dd-mm-yyyy. The dates are counted and then plotted. When zoomed in I want Bokeh to show the indiviudal dates (that works already). When zoomed out I want Bokeh only to show the months (or years when zoomed out even further). Right know the index gets pretty messy due to individual dates getting closer and closer the more you zoom out. Is there a way to tell Bokeh to change what

Dynamic indexes while zooming in Python Bokeh

北城以北 提交于 2020-02-08 07:31:26
问题 I am fairly new to Bokeh and try to achieve the following: I have a dataset with rows containing dates in the format dd-mm-yyyy. The dates are counted and then plotted. When zoomed in I want Bokeh to show the indiviudal dates (that works already). When zoomed out I want Bokeh only to show the months (or years when zoomed out even further). Right know the index gets pretty messy due to individual dates getting closer and closer the more you zoom out. Is there a way to tell Bokeh to change what

How to index and query a very large DB with 60M rows and 50 columns

南笙酒味 提交于 2020-02-06 10:05:06
问题 I have a big table with 60M rows and 50 columns (columns include "company_idx" and "timestamp"). Thus, when I do my simple SQL Query such as: SELECT * FROM companies_Scores.Scores WHERE `company_idx`=11 AND `timestamp` BETWEEN '"+start_date+" 00:00:00' AND '"+end_date+" 00:00:00' It takes basically 4 minutes to run (which is way too long). Thus, I thought about indexing my table, so I've done: CREATE INDEX idx_time ON companies_Scores.Scores(company_idx, timestamp) USING BTREE; However, when

How to index and query a very large DB with 60M rows and 50 columns

一曲冷凌霜 提交于 2020-02-06 10:04:37
问题 I have a big table with 60M rows and 50 columns (columns include "company_idx" and "timestamp"). Thus, when I do my simple SQL Query such as: SELECT * FROM companies_Scores.Scores WHERE `company_idx`=11 AND `timestamp` BETWEEN '"+start_date+" 00:00:00' AND '"+end_date+" 00:00:00' It takes basically 4 minutes to run (which is way too long). Thus, I thought about indexing my table, so I've done: CREATE INDEX idx_time ON companies_Scores.Scores(company_idx, timestamp) USING BTREE; However, when

Identifying a specific pattern in several adjacent rows of a single column - R [closed]

无人久伴 提交于 2020-02-06 08:41:46
问题 Closed . This question needs to be more focused. It is not currently accepting answers. Want to improve this question? Update the question so it focuses on one problem only by editing this post. Closed last month . I'm back with my survey data. This time, I need to remove a specific set of rows from data when they occur. In our survey, an automated telephone survey, the survey tool will attempt three times during that call to prompt the respondent to enter a response. After three timeouts of

Find closest and smaller value in a list in C# with linq?

守給你的承諾、 提交于 2020-02-05 10:07:21
问题 I've a list like this: public List<Dictionary<int, int>> blanks { get; set; } This keep some index values: In addition I have also a variable named X. X can take any value. I want to find closest and smaller 'Key' value to X. I can take only closest value via this code block. But, it can't take smaller one. var diffs = kaynaklarArray[l].blanks.SelectMany((item, index) => item.Select(entry => new { Index = index, Key = entry.Key, Diff = Math.Abs(entry.Key - X) })).OrderBy(item => item.Diff);

Mongodb text index Duplicate Key Error when part of string field same

我们两清 提交于 2020-02-05 08:46:36
问题 For examples: doc1: { 'name':'apple' } doc2: { 'name':'apple juice' } when I create text index with pymongo: db.products_collection.create_index([('name', TEXT)], unique=True, background=True) it give me an error: E11000 duplicate key error collection: c.items_collection index: name_text_alias_text dup key: { : "apple", : 10.5 } Some one know why? I cannot add unique=True for text string? 回答1: A text index splits strings into tokens (words), and those tokens form the keys. So in your example,