In our first weblog, we used a daily expression to interchange the quotes in genres
. Afterward, we have been capable of UNNEST() the JSON object. We’ll be working with the identical knowledge set on this weblog
In our knowledge:
Embedded content material: https://gist.github.com/nfarah86/ef1cc9da88e56226c4c46fd0e3c8e16e
there’s a JSON string that’s known as spoken_languages, and it’s formatted equally to genres:
[ { "spoken_languages": "[{'iso_639_1': 'fr', 'name': 'Français'}]" }]
Assuming every little thing is constant, we will simply write the SQL assertion just like what we wrote for genres
— proper?
Flawed ⛔️
We truly get a parsing error:
json parse error on line 0 close to `x9akai”}, {“iso_’: unknown escape 120 in string
So, we form of know what the wrongdoer is right here, however we don’t know if there are going to be extra parsing errors. Let’s go forward and debug this, so we will get this SQL assertion working!
We will truly use REGEXP_LIKE() to see what precisely is inflicting the error:
SELECT
spoken_languages
FROM
commons.TwtichMovies t
WHERE REGEXP_LIKE(t.spoken_languages,'x9akai')
This can be a pattern of what we get again:
That is nice— it seems to be just like the are literally inflicting some points. We will use REGEXP_REPLACE() to interchange these slashes with an empty string:
SELECT (REGEXP_REPLACE('Lietuvix9akai', '',''));
Now— to place all of it collectively: How will we UNNEST() spoken_languages and repair the two points at hand (the string format and the double slashes)?
Trace:
SELCT REGEXP_REPLACE(REGEXP_REPLACE('[{''iso_639_1'': ''lt'', ''name'':''Lietuvix9akai''}]', '''', '"'), '', '');
I’m certain you may take it to the end line from right here, however simply in case, you may watch this youtube hyperlink down beneath to catch the total replay!
Embedded content material: https://youtu.be/8aHgJrQjT4U
TLDR: you’ll find all of the sources you want within the developer nook.