How to search for dash (-) in kibana? - kibana

I am using kibana 6.4 and trying to search for a dash, but it seems it does not work.
e.g I have a such field
field_1: -
and I need to find all the documents where the 'filed_1' is eq to dash(-).
I have tried some combinations
field_1: '-'
field_1: "-"
field_1: "\-"
field_1: -
...
no one works correctly.
All the results are empty but without any search, I can see that there are some fields with an expected result.

Related

Verify database id in firebase [duplicate]

I am wondering what kind of characters are allowed in the push key. Does it generate also a symbol underscore(_)? I always get a push key with letters with -.
Push keys use a modified Base64 alphabet:
-0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZ_abcdefghijklmnopqrstuvwxyz
They are comprised of a timestamp and a random value. The algorithm is described here.
With Firebase keys in general, there is a small set of illegal characters and they are listed in this answer:
Character Set Limitations
Note that URLs used to construct Firebase references may contain any
unicode characters except:
. (period)
$ (dollar sign)
[ (left square bracket)
] (right square bracket)
# (hash or pound sign)
/ (forward slash)

Firebase push key - allowed characters

I am wondering what kind of characters are allowed in the push key. Does it generate also a symbol underscore(_)? I always get a push key with letters with -.
Push keys use a modified Base64 alphabet:
-0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZ_abcdefghijklmnopqrstuvwxyz
They are comprised of a timestamp and a random value. The algorithm is described here.
With Firebase keys in general, there is a small set of illegal characters and they are listed in this answer:
Character Set Limitations
Note that URLs used to construct Firebase references may contain any
unicode characters except:
. (period)
$ (dollar sign)
[ (left square bracket)
] (right square bracket)
# (hash or pound sign)
/ (forward slash)

I am receiving \u200b in certain translations from the google-translate api

I am new to using the Google translate API and during testing we noticed that for some translations (I have not been able to find a pattern yet) we get \u200b characters in the response. That results in a lot of issues and above all it does not seem to server any purpose or make any sense. As simple example:
https://www.googleapis.com/language/translate/v2?key=YOURKEY&source=NL&target=EN&q=Hergeneer%20verkopen
returns:
{
"data": {
"translations": [
{
"translatedText": "Sell \u200b\u200bHerge Down"
}
]
}
}
Our software stumbles over these \u200b strings/characters and I have not found a way to prevent them or get rid of them.
Please read the documentation of the JSON format: https://json.org/
A string is a sequence of zero or more Unicode characters.
A char is either any Unicode character except " or \ or control-character,
[...]
or it is \u followed by four hex-digits.
We are in this last case, \u followed by four hex-digits, and it represents a Unicode character: Unicode Character 'ZERO WIDTH SPACE' (U+200B). It even has its own Wikipedia page: Zero-width space. And its Stack Overflow question: What's HTML character code 8203?.
Now, there are plenty Unicode characters with special behaviors, and this is one of those, an invisible one among others. So you need to be aware of how Unicode works, and you should sanitize input/output from third-parties API (and from user inputs as well).
Just define the list of characters that you actually want to support, and be sure to strip or filter out all the other ones. For instance, if you desire to support NL and EN, then you could strip what is outside the Latin script in Unicode.
Stripping the U+200B that you're encountering and other undesirable characters may save you from potential surprises like with:
big characters ⎲⎳
zalgo characters C̨̦̺̩̲̥͉̭͚̜̻̝̣̼͙̮̯̪o̴̡͇̘͎̞̲͇̦̲͞͡m̸̩̺̝̣̹̱͚̬̥̫̳̼̞̘̯͘ͅẹ͇̺̜́̕͢
invisible characters
emojis 👨‍👩‍👧‍👦#️⃣🏳️‍🌈

Can't Post data containing $ in a key to Firebase

I'm attempting to post some data into Firebase (relative part of the URL is /messages.json). The following request content:
{"gsx$enddate":"sometime"}
Gives the following error:
Invalid data; couldn't parse JSON object, array, or value. Perhaps you're using invalid characters in your key names.
This is valid JSON however. What am I doing wrong?
It's supposed to be a valid JSON but it seems like it's a limitation for FireBase
From FireBase Documentation:
Character Set Limitations
Note that URLs used to construct Firebase references may contain any
unicode characters except:
. (period)
$ (dollar sign)
[ (left square bracket)
] (right square bracket)
# (hash or pound sign)
/ (forward slash)

How can I prevent SQLite from treating a string as a number?

I would like to query an SQLite table that contains directory paths to find all the paths under some hierarchy. Here's an example of the contents of the column:
/alpha/papa/
/alpha/papa/tango/
/alpha/quebec/
/bravo/papa/
/bravo/papa/uniform/
/charlie/quebec/tango/
If I search for everything under /bravo/papa/, I would like to get:
/bravo/papa/
/bravo/papa/uniform/
I am currently trying to do this like so (see below for the long story of why I can't use more simple methods):
SELECT * FROM Files WHERE Path >= '/bravo/papa/' AND Path < '/bravo/papa0';
This works. It looks a bit weird, but it works for this example. '0' is the unicode code point 1 greater than '/'. When ordered lexicographically, all the paths starting with '/bravo/papa/' compare greater than it and less than 'bravo/papa0'. However, in my tests, I find that this breaks down when we try this:
SELECT * FROM Files WHERE Path >= '/' AND Path < '0';
This returns no results, but it should return every row. As far as I can tell, the problem is that SQLite is treating '0' as a number, not a string. If I use '0Z' instead of '0', for example, I do get results, but I introduce a risk of getting false positives. (For example, if there actually was an entry '0'.)
The simple version of my question is: is there some way to get SQLite to treat '0' in such a query as the length-1 string containing the unicode character '0' (which should sort strings such as '!', '*' and '/', but before '1', '=' and 'A') instead of the integer 0 (which SQLite sorts before all strings)?
I think in this case I can actually get away with special-casing a search for everything under '/', since all my entries will always start with '/', but I'd really like to know how to avoid this sort of thing in general, as it's unpleasantly surprising in all the same ways as Javascript's "==" operator.
First approach
A more natural approach would be to use the LIKE or GLOB operator. For example:
SELECT * FROM Files WHERE Path LIKE #prefix || '%';
But I want to support all valid path characters, so I would need to use ESCAPE for the '_' and '%' symbols. Apparently this prevents SQLite from using an index on Path. (See http://www.sqlite.org/optoverview.html#like_opt ) I really want to be able to benefit from an index here, and it sounds like that's impossible using either LIKE or GLOB unless I can guarantee that none of their special characters will occur in the directory name, and POSIX allows anything other than NUL and '/', even GLOB's '*' and '?' characters.
I'm providing this for context. I'm interested in other approaches to solve the underlying problem, but I'd prefer to accept an answer that directly addresses the ambiguity of strings-that-look-like-numbers in SQLite.
Similar questions
How do I prevent sqlite from evaluating a string as a math expression?
In that question, the values weren't quoted. I get these results even when the values are quoted or passed in as parameters.
EDIT - See my answer below. The column was created with the invalid type "STRING", which SQLite treated as NUMERIC.
* Groan *. The column had NUMERIC affinity because it had accidentally been specified as "STRING" instead of "TEXT". Since SQLite didn't recognize the type name, it made it NUMERIC, and because SQLite doesn't enforce column types, everything else worked as expected, except that any time a number-like string is inserted into that column it is converted into a numeric type.

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