{
"repo": [
{
"book": 47,
"version": 1,
"bookName": "Book1",
"chapters": [
{
"chapterId": 1,
"chapterContents": [
{
"line": 1,
"Text": "1. The first text of chapter 1 book 1"
},
{
"line": 2,
"Text": "2. The second text of chapter 1 book 1"
}
]
},
{
"chapterId": 2,
"chapterContents": [
{
"line": 1,
"Text": "1. The first text of chapter 2 book 1"
}
]
}
]
}
]
}
This is the format for the data model stored as JSON file in Amazon S3 . There are lot of books with lot of chapters and text contents. The requirement is to search a particular text across all books and list the line, chapter, book and the version where the text is found . How can I make S3 queries on nested array JSON file ?
You can use Amazon Athena to query nested JSON data from S3.
Searching for values inside json should be possible. You can find an example here:
WITH dataset AS (
SELECT * FROM (VALUES
(JSON '{"name": "Bob Smith", "org": "legal", "projects": ["project1"]}'),
(JSON '{"name": "Susan Smith", "org": "engineering", "projects": ["project1", "project2", "project3"]}'),
(JSON '{"name": "Jane Smith", "org": "finance", "projects": ["project1", "project2"]}')
) AS t (users)
)
SELECT json_extract_scalar(users, '$.name') AS user
FROM dataset
WHERE json_array_contains(json_extract(users, '$.projects'), 'project2')