exact-match

问题 Sample tags field. "tags":["[\"Rectangle\",\"Product\",\"Font\",\"Rectangle\",\"Product\",\"Rectangle\",\"Snack\",\"Product\",\"Material property\",\"Product\",\"Material property\"]"], When I search the keyword land in the tags field I get the results that contain land vehicle q=tags:land "tags":["[\"Land vehicle\",\"Vehicle\"]"] - I do not want this to produce a match. <fieldType name="text_general" class="solr.TextField" positionIncrementGap="100" multiValued="true"> <analyzer type="index"

问题 Sample tags field. "tags":["[\"Rectangle\",\"Product\",\"Font\",\"Rectangle\",\"Product\",\"Rectangle\",\"Snack\",\"Product\",\"Material property\",\"Product\",\"Material property\"]"], When I search the keyword land in the tags field I get the results that contain land vehicle q=tags:land "tags":["[\"Land vehicle\",\"Vehicle\"]"] - I do not want this to produce a match. <fieldType name="text_general" class="solr.TextField" positionIncrementGap="100" multiValued="true"> <analyzer type="index"

问题 I have two pandas dataframes I want to join/merge exactly on a number of columns (say 3) and approximately, i.e nearest neighbour, on one (date) column. I also want to return the difference (days) between them. Each dataset is about 50,000 rows long. I'm most interested in an inner join, but the “leftovers” are also interesting if not too hard to get hold of. Most of the “exact match” observations will exist multiple times in each data frame. I've been trying to use difflib.get_close_matches

问题 select games_exchange.u_exchange_id from games_exchange where ( games_exchange.game_id = 7 AND games_exchange.exchange_type = 1 ) AND ( games_exchange.game_id = 7 AND games_exchange.exchange_type = 2 ) group by games_exchange.u_exchange_id HAVING COUNT( games_exchange.u_exchange_id ) = 2 My expected result from above query is u_exchange_id = 171. but the above query return u_exchange_id = 171 & 170. [the screenshot for table is here][2] 回答1: After a lot of research i came up with a solution

问题 I have looked at every article and post I could find about performing exact-match, case-insensitive queries, but upon implementation, they do not perform what I am looking for. Before you mark this question as a duplicate, please read the entire post. Given a username, I want to query my Elasticsearch database to only return a document that exactly matches the username, but is also case insensitive. I have tried specifying a lowercase analyzer for my username property and use a match query to

问题 I have a vector of words in R: words = c("Awesome","Loss","Good","Bad") And I have the following dataframe in R: df <- data.frame(ID = c(1,2,3), Response = c("Today is an awesome day", "Yesterday was a bad day,but today it is good", "I have losses today")) What I want to do is words that are exact matching in Response column should be extracted and inserted into new column in dataframe. Final output should look like this ID Response Match 1 Today is an awesome day Awesome 2 Yesterday was a

问题 This question already has answers here : Closed 7 years ago . Possible Duplicate: mysql case sensitive query 'm working on an PHP script that checks some values to the ones in the database. So far I thought it worked right, but I found an problem. The query isn't looking for the specific characters. So if I use this query: SELECT * FROM `facilitydb_login` WHERE facilitydb_login.`password` = 'PASS' I want the result, because the password is PASS. But if you fill in pass (lowercase) the same

问题 I want to match an exact word and replace it with another word. Here is the SQL Server query that I am using: UPDATE BODYCONTENT SET BODY = CAST(REPLACE(CAST(BODY AS NVARCHAR(MAX)), 'Test' , 'prod') AS NTEXT) WHERE BODY COLLATE Latin1_General_CI_AS LIKE '%Test%' COLLATE Latin1_General_CI_AS; What this query is doing: 'Test','test','TEST' is updated into 'prod' -- This is expected. 'Test2','TestTest', 'Fastest' is updated into 'prod' - I want to avoid this behavior. Please help. Other queries

问题 I want to match an exact word and replace it with another word. Here is the SQL Server query that I am using: UPDATE BODYCONTENT SET BODY = CAST(REPLACE(CAST(BODY AS NVARCHAR(MAX)), 'Test' , 'prod') AS NTEXT) WHERE BODY COLLATE Latin1_General_CI_AS LIKE '%Test%' COLLATE Latin1_General_CI_AS; What this query is doing: 'Test','test','TEST' is updated into 'prod' -- This is expected. 'Test2','TestTest', 'Fastest' is updated into 'prod' - I want to avoid this behavior. Please help. Other queries

问题 I´m using Lucene.NET 3.0.3 for indexing the content of word-, excel-, etc. documents and some custom fields for each document. If I index a field named "title" as Field.Index.NOT_ANALYZED the Lucene-Index stored the field in correct form. The hole title is stored in a single token. That´s what I want. e.g. title of document is "Lorem ipsum dolor" field in Lucene-index: "Lorem ipsum dolor" If I search using exact search in this field I get no results. My searchterm looks like: title:"Lorem