MongoDB query documents are quite powerful.
This brings that usefulness to PostgreSQL by letting you query in a similar way.
This tool converts a Mongo query to a PostgreSQL where
clause for data stored in a jsonb field.
It also has additional converters for Mongo projections which are like select
clauses and for update
queries.
This tool is used by pgmongo which intends to provide a drop-in replacement for MongoDB.
npm install mongo-query-to-postgres-jsonb
var mToPsql = require('mongo-query-to-postgres-jsonb')
var query = { field: 'value' }
var sqlQuery = mToPsql('data', query)
var mToPsql = require('mongo-query-to-postgres-jsonb')
This is the name of your jsonb column in your postgres table which holds all the data.
An object containing MongoDB query operators.
This tool doesn't know which fields are arrays so you can optionally specify a list of dotted paths which should be treated as an array.
Object specifying which a subset of documents to return. Note: advanced projection fields are not yet supported.
Object containing MongoDB operations to apply to the documents.
Indicate that the query is being used for upserting. This will create a safer query that works if the original document doesn't already exist.
Object containing desired ordering
Cast strings to number when sorting.
Languages | MongoDB | Postgres |
---|---|---|
Where | { 'address.city': 'provo' } | (data->'address'->>'city' = 'provo') |
Where | { $or: [ { qty: { $gt: 100 } }, { price: { $lt: 9.95 } } ] } | ((data->'qty'>'100'::jsonb) OR (data->'price'<'9.95'::jsonb)) |
Projection | { field: 1 } | jsonb_build_object('field', data->'field', '_id', data->'_id')' |
Update | { $set: { active: true } } | jsonb_set(data,'{active}','true'::jsonb) |
Update | { $inc: { purchases: 2 } } | jsonb_set(data,'{purchases}',to_jsonb(Cast(data->>'purchases' as numeric)+2)) |
Sort | { age: -1, 'first.name': 1} | data->'age' DESC, data->'first'->'name' ASC |
With MongoDB, you can search a document with a subarray of objects that you want to match when any one of the elements in the array matches. This tools implements it in SQL using a subquery so it is not be the most efficient.
Example document.
{
"courses": [{
"distance": "5K"
}, {
"distance": "10K"
}]
]
Example query to match:
mongoToPostgres('data', { 'courses.distance': '5K' }, ['courses'])
- $eq, $gt, $gte, $lt, $lte, $ne
- $or, $not, $in, $nin
- $elemMatch
- $regex, $type, $size, $exists, $mod, $all
- Filtering
- Update