Search by start string with accent - go

I'm trying to remove accents of occurrences looked somewhat the same way that the function downcase.
Currently searching for all results starting with a string like that :
r.Table("places").Filter(func(customer r.Term) interface{}{
return customer.Field("Name").Downcase().Match("^" + strings.ToLower(value))
})
but it does not work with words with an accent in the word.
Example : with search word "yes", it'll find :
"yes" "yesy" "yessss"
but not
"yés"
What is the best way to remove accents in query to pick them up, too?

Related

elastic search regex query to search string starts with number

i am not able to search string start with number
PUT music/song/1?refresh
{
"suggest" : [
{
"input": "123hello",
"weight" : 3
}
]
}
i have tried the following regex query
POST music/_search?pretty
{
"suggest": {
"song-suggest" : {
"regex" : "^[0-9].*$",
"completion" : {
"field" : "suggest"
}
}
}
}
You should try [0-9]*.*.
The point is that lucene regexp doesn't use '^' and '$' as symbols of start and end of the string to anchor your pattern. In fact regexp in lucene is anchored to whole string by default, see:
Most regular expression engines allow you to match any part of a string. If you want the regexp pattern to start at the beginning of the string or finish at the end of the string, then you have to anchor it specifically, using ^ to indicate the beginning or $ to indicate the end.
Lucene’s patterns are always anchored. The pattern provided must match the entire string.
See also my very similar question. Especially if your field could be more then 256 characters.
Don't know if question is still actual, so I just leave it here.

Fuzziness on 3 letter words

What kind of analyzers would you implement in Elasticsearch for searching book titles.
The requirements are that there must be fuzziness and there are word that are 3 letters.
I'm not going to include code because I would like to get a fresh insight.
But the problem I am having is that when I search 3 letters words wrong,
Say I type "dns" and there is a document with a field "dna" then I will get
kindness or something that has dns in the word.
I believe to solve your problem you can use the fuzziness field in your fuzzy query, this will let you set the maximum edit distance so long words will not get matched when your input is a very small word.
{
"fuzzy" : {
"user" : {
"value" : "ki",
"fuzziness" : 2,
"prefix_length" : 1
}
}
}
The above query would match all 3 letter words which start with the letter 'k' and all 4 letter words which start with the letters 'ki'. A fuzziness of 2 means that any 2 edits are allowed i.e. either change 'i' to another letter and then add another letter or add two more letter while keeping 'ki'. The prefix length tells elasticsearch how much of the query needs to be exactly matched before the fuzziness can take over.
https://www.elastic.co/guide/en/elasticsearch/reference/current/query-dsl-fuzzy-query.html

Elasticsearch term query with colons

I have a string field "title"(not analyzed) in elasticsearch. A document has title "Garfield 2: A Tail Of Two Kitties (2006)".
When I use the following json to query, no result returns.
{"query":{"term":{"title":"Garfield 2: A Tail Of Two Kitties (2006)"}}}
I tried to escape the colon character and the braces, like:
{"query":{"term":{"title":"Garfield 2\\: A Tail Of Two Kitties \\(2006\\)"}}}
Still not working.
Term query wont tokenize or apply analyzers to the search text. Instead if looks for the exact match which wont work as the string fields are analyzed/tokenized by default.
To give this a better explanation -
Lets say there is a string value as - "I am in summer:camp"
When indexing this its broken into tokens as below -
"I am in summer:camp" => [ I , am , in , summer , camp ]
Hence even if you do a term search for "I am in summer:camp" , it wont still work as the token "I am in summer:camp" is not present in the index.
Something like phrase query might work better here.
Or you can leave "index" field as "not_analyzed" to make sure that string is not tokenized.

Elasticsearch Regex Query

I am running elasticsearch v1.1.1 and I am having trouble getting results from regex searches.
{
"query" : {
"regexp" : {
"lastname" : "smit*"
}
}
}
Returns 0 results (when I know I have 'smith' in the data.
I have also tried:
{
"query" : {
"filtered" : {
"filter" : {
"regexp" : {
"lastname" : "smit*"
}
}
}
}
}
Any help would be appreciated.
So first off, a lot of this is dependent on how you indexed the field - analyzed or not, what kind of tokenizer, was it lowercased, etc.
To answer your specific question concerning regexp queries, assuming your field is indexed as "smith" (all lower case) you should change your search string to "smit.*" which should match "smith". "smit." should also work.
The reason is that in regexp (which is different than wildcard) "." matches any character. "*" matches any number of the previous character. So your search would match "smitt" or "smittt". The construct ".*" means match any number (including 0) of the previous character - which is "." which matches any. The combination of the two is the regexp equivalent of the wildcard "*".
That said, I'd caution that regexp and wildcard searches can have significant performance challenges in text indexes, depending upon the nature of the field, how it's indexed and the number of documents. These kinds of searches can be very useful but more than one person has built wildcard or regexp searches tested on small data sets only to be disappointed by the production performance. Use with caution.
http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/query-dsl-regexp-query.html
ElasticSearch Regexp Filter

ruby extract string between two string

I am having a string as below:
str1='"{\"#Network\":{\"command\":\"Connect\",\"data\":
{\"Id\":\"xx:xx:xx:xx:xx:xx\",\"Name\":\"somename\",\"Pwd\":\"123456789\"}}}\0"'
I wanted to extract the somename string from the above string. Values of xx:xx:xx:xx:xx:xx, somename and 123456789 can change but the syntax will remain same as above.
I saw similar posts on this site but don't know how to use regex in the above case.
Any ideas how to extract the above string.
Parse the string to JSON and get the values that way.
require 'json'
str = "{\"#Network\":{\"command\":\"Connect\",\"data\":{\"Id\":\"xx:xx:xx:xx:xx:xx\",\"Name\":\"somename\",\"Pwd\":\"123456789\"}}}\0"
json = JSON.parse(str.strip)
name = json["#Network"]["data"]["Name"]
pwd = json["#Network"]["data"]["Pwd"]
Since you don't know regex, let's leave them out for now and try manual parsing which is a bit easier to understand.
Your original input, without the outer apostrophes and name of variable is:
"{\"#Network\":{\"command\":\"Connect\",\"data\":{\"Id\":\"xx:xx:xx:xx:xx:xx\",\"Name\":\"somename\",\"Pwd\":\"123456789\"}}}\0"
You say that you need to get the 'somename' value and that the 'grammar will not change'. Cool!.
First, look at what delimits that value: it has quotes, then there's a colon to the left and comma to the right. However, looking at other parts, such layout is also used near the command and near the pwd. So, colon-quote-data-quote-comma is not enough. Looking further to the sides, there's a \"Name\". It never occurs anywhere in the input data except this place. This is just great! That means, that we can quickly find the whereabouts of the data just by searching for the \"Name\" text:
inputdata = .....
estposition = inputdata.index('\"Name\"')
raise "well-known marker wa not found in the input" unless estposition
now, we know:
where the part starts
and that after the "Name" text there's always a colon, a quote, and then the-interesting-data
and that there's always a quote after the interesting-data
let's find all of them:
colonquote = inputdata.index(':\"', estposition)
datastart = colonquote+3
lastquote = inputdata.index('\"', datastart)
dataend = lastquote-1
The index returns the start position of the match, so it would return the position of : and position of \. Since we want to get the text between them, we must add/subtract a few positions to move past the :\" at begining or move back from \" at end.
Then, fetch the data from between them:
value = inputdata[datastart..dataend]
And that's it.
Now, step back and look at the input data once again. You say that grammar is always the same. The various bits are obviously separated by colons and commas. Let's try using it directly:
parts = inputdata.split(/[:,]/)
=> ["\"{\\\"#Network\\\"",
"{\\\"command\\\"",
"\\\"Connect\\\"",
"\\\"data\\\"",
"\n{\\\"Id\\\"",
"\\\"xx",
"xx",
"xx",
"xx",
"xx",
"xx\\\"",
"\\\"Name\\\"",
"\\\"somename\\\"",
"\\\"Pwd\\\"",
"\\\"123456789\\\"}}}\\0\""]
Please ignore the regex for now. Just assume it says a colon or comma. Now, in parts you will get all the, well, parts, that were detected by cutting the inputdata to pieces at every colon or comma.
If the layout never changes and is always the same, then your interesting-data will be always at place 13th:
almostvalue = parts[12]
=> "\\\"somename\\\""
Now, just strip the spurious characters. Since the grammar is constant, there's 2 chars to be cut from both sides:
value = almostvalue[2..-3]
Ok, another way. Since regex already showed up, let's try with them. We know:
data is prefixed with \"Name\" then colon and slash-quote
data consists of some text without quotes inside (well, at least I guess so)
data ends with a slash-quote
the parts in regex syntax would be, respectively:
\"Name\":\"
[^\"]*
\"
together:
inputdata =~ /\\"Name\\":\\"([^\"]*)\\"/
value = $1
Note that I surrounded the interesting part with (), hence after sucessful match that part is available in the $1 special variable.
Yet another way:
If you look at the grammar carefully, it really resembles a set of embedded hashes:
\"
{ \"#Network\" :
{ \"command\" : \"Connect\",
\"data\" :
{ \"Id\" : \"xx:xx:xx:xx:xx:xx\",
\"Name\" : \"somename\",
\"Pwd\" : \"123456789\"
}
}
}
\0\"
If we'd write something similar as Ruby hashes:
{ "#Network" =>
{ "command" => "Connect",
"data" =>
{ "Id" => "xx:xx:xx:xx:xx:xx",
"Name" => "somename",
"Pwd" => "123456789"
}
}
}
What's the difference? the colon was replaced with =>, and the slashes-before-quotes are gone. Oh, and also opening/closing \" is gone and that \0 at the end is gone too. Let's play:
tmp = inputdata[2..-4] # remove opening \" and closing \0\"
tmp.gsub!('\"', '"') # replace every \" with just "
Now, what about colons.. We cannot just replace : with =>, because it would damage the internal colons of the xx:xx:xx:xx:xx:xx part.. But, look: all the other colons have always a quote before them!
tmp.gsub!('":', '"=>') # replace every quote-colon with quote-arrow
Now our tmp is:
{"#Network"=>{"command"=>"Connect","data"=>{"Id"=>"xx:xx:xx:xx:xx:xx","Name"=>"somename","Pwd"=>"123456789"}}}
formatted a little:
{ "#Network"=>
{ "command"=>"Connect",
"data"=>
{ "Id"=>"xx:xx:xx:xx:xx:xx","Name"=>"somename","Pwd"=>"123456789" }
}
}
So, it looks just like a Ruby hash. Let's try 'destringizing' it:
packeddata = eval(tmp)
value = packeddata['#Network']['data']['Name']
Done.
Well, this has grown a bit and Jonas was obviously faster, so I'll leave the JSON part to him since he wrote it already ;) The data was so similar to Ruby hash because it was obviously formatted as JSON which is a hash-like structure too. Using the proper format-reading tools is usually the best idea, but mind that the JSON library when asked to read the data - will read all of the data and then you can ask them "what was inside at the key xx/yy/zz", just like I showed you with the read-it-as-a-Hash attempt. Sometimes when your program is very short on the deadline, you cannot afford to read-it-all. Then, scanning with regex or scanning manually for "known markers" may (not must) be much faster and thus prefereable. But, still, much less convenient. Have fun.

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