I'm extracting information from logs in hive with this sentences:
regexp_extract(values, "^(\\w{3} \\s?\\d+ \\d\\d:\\d\\d:\\d\\d \\w+-\\w+ \\w+:) (\\[)(\\d{2})(\\/)(\\w{3})(\\/)(\\d{4})(.*\\])",3)day,
regexp_extract(values, "^(\\w{3} \\s?\\d+ \\d\\d:\\d\\d:\\d\\d \\w+-\\w+ \\w+:) (\\[)(\\d{2})(\\/)(\\w{3})(\\/)(\\d{4})(.*\\])",5)month
I use the same regular expression for extract two fields in two different regex_extract call. It is possible to extract more than one field only executing regex_extract once?
Maybe not exactly what you are looking for, but if your really want to have one extraction that will give you multiple fields instead of one, this is what I found:
http://dev.bizo.com/2012/01/using-genericudfs-to-return-multiple.html
Note that for this solution you need to write a UDF with object inspectors, but see for yourself.
Related
Trying to fetch meaning of an entered text from urban dictionary. The problem is that urban dictionary shows several definitions posted by different users. I've used 'importxml' for fetching the first page that shows up when someone searches for a particular word.
Now I want this data to be split in different columns so that I can get each definition in seperate column.
If we look at the fetched data, at the end of every definition there is "by username month dd,yyyy" string.
How can I use this string to split that raw data into definitions in separate columns?
Tried RegEx but could not figure it out because this is the first time I'm using Regex.
replace string to unique symbol and then split by it
to capture string use the pattern:
"by username .+ \d+,\d{4}"
As you can read here, regex is not the correct tool for parsing HTML.
In your situation I will use Google Apps Script in combination with a DOMParser library, as cheerio.
Example:
const content = getContent_('https://www.urbandictionary.com/define.php?term=nah');
const $ = Cheerio.load(content);
Logger.log($('.contributor').text());
I'm trying to keep lines that contain the word "NOA" in a column A which has many multi-line cells as can be viewed in this Google Spreadsheet.
If "NOA" is present then, I would like to keep the line. The input and output should look like the image which I have "working" with too-many helper cells. Can this be combined into a single formula?
Theoretical Approaches:
I have been thinking about three approaches to solve this:
ARRAYFORMULA(REGEXREPLACE - couldn't get it to work
JOIN(FILTER(REGEXMATCH(TRANSPOSE - showing promise as it works in multiple steps
Using the QUERY Function - unfamiliar w/ function but wondering if this function has a fast solution
Practical attempts:
FIRST APPROACH: first I attempted using REGEXEXTRACT to extract out everything that did not have NOA in it, the Regex worked in demo but didn't work properly in sheets. I thought this might be a concise way to get the value, perhaps if my REGEX skill was better?
ARRAYFORMULA(REGEXREPLACE(A1:A7, "^(?:[^N\n]|N(?:[^O\n]|O(?:[^A\n]|$)|$)|$)+",""))
I think the Regex because overly complex, didn't work in Google or perhaps the formula could be improved, but because Google RE2 has limitations it makes it harder to do certain things.
SECOND APPROACH:
Then I came up with an alternate approach which seems to work 2 stages (with multiple helper cells) but I would like to do this with one equation.
=TRANSPOSE(split(A2,CHAR(10)))
=TEXTJOIN(CHAR(10),1,FILTER(C2:C7,REGEXMATCH(C2:C7,"NOA")))
Questions:
Can these formulas be combined and applied to the entire Column using an Index or Array?
Or perhaps, the REGEX in my first approach can be modified?
Is there a faster solution using Query?
The shared Google spreadhseet is here.
Thank you in advance for your help.
Here's one way you can do that:
=index(substitute(substitute(transpose(trim(
query(substitute(transpose(if(regexmatch(split(
filter(A2:A,A2:A<>""),char(10)),"NOA"),split(
filter(A2:A,A2:A<>""),char(10)),))," ","❄️")
,,9^9)))," ",char(10)),"❄️"," "))
First, we split the data by the newline (char 10), then we filter out the lines that don't contain NOA and finally we use a "query smush" to join everything back together.
I have a table where the amount column has , and $ sign for example: $8,122.14 as values. I want to write a replace function to replace $ and , over that column in one go. Is there any way we can write multiple conditions in one replace in Redshift? Also, this is apart of post processing the data where I am inserting data from stage table to a final table after replacing these values.
I tried the ways listed in the take 1 and 2 given in the code but both of them failed.
Take 1:
insert into db.stage_table
select
(coalesce(replace(logging_amount,'$',','),''))) as logging_amount
from db.table;
Take 2:
insert into db.stage_table
select
(coalesce(replace(logging_amount,'$',',')) as logging_amount
from db.table;
Both of them failed.
The expected result should be replace function in a single statement.
Yes you can nest replace statements like this
replace(replace(logging_amount,'$',''),',','')
Or you can use regex if you prefer (personally for something like this i think nested replaces are easier to read.)
I have a string variable containing school names and I need to find all the possible combination of each word in this string variable in stata:
For example variation of a word "Academy" would be:
Academy,
Academy,
acdamey,
aacdemy,
dmcaamy,
aacedmy,
and so on.
I need this to standardize the raw data of school names, which has many typos of each word due to data entry issues, like the ones given above for "academy".
Depending whether your data is already in the Excel sheets or a file, you can either use regex trying to match all possible combinations (and probably fix them when found) or parse the strings first before bringing them into Excel. In either case you could make a file (or Excel list/table/area/etc.) that includes all the common typos and pick each typo as regex match to use when comparing to your actual input.
Making regexp that would actually find all possible cases is next to impossible, especially if there are cases where very similar (but correct) names for schools exist. In any case direct regexps would be very messy and complex, so I would advice you to parse the data by finding first the correct form, excluding it and then using (greedy) search/regex to find the typoed versions. You can then save the typos to use them as a filter/match/pattern.
To get some sort of starting ideas, check this links:
Regex: Search for verb roots
Read text file and extract string into Excel sheet using regex
P.s You should keep the count of all strings/school names and finally get a list of all names that did not match correct form or any of your regexp filters, so you can manually insert/correct them.
I have a bunch of sql statements updated by my team developers.
I intend to run a check before these statements are run against a db.
for example, check if a certain column is hardcoded instead of being fetched from the respective table (foreign key)
for example:
INSERT INTO [Term1] ([CreatedBy]
,[CreateUser]) values(1,'asdadad')
where 1 is hardcoded value.
Is there a regular expression that can extract all insert statements from the file so that they can be parse?
I tried with this expression http://regexlib.com/REDetails.aspx?regexp_id=1750 but it didnot work
You may need to run a multi-level regex on this. First parse the entire parameter string from the whole query, then parse each individual field from the paramter string that you previously got to get each one specifically ignoring all the other characters that may come up.