Adding documents

The easiest way to add data to the sunburnt instance is to do so using a Python dictionary, of exactly the same form as a query result. The dictionary keys are the names of the fields, and the dictionary values are the values of the corresponding fields.

document = {"id":"0553573403",
            "name":"A Game of Thrones",
            "inStock": True,
            "George R.R. Martin",
            "series_t":"A Song of Ice and Fire",


You can add lists of dictionaries in the same way. Given the example “books.csv” file, you could feed it to sunburnt like so:

lines = csv.reader(”books.csv”)
field_names =
documents = [dict(zip(field_names, line) for line in lines]


Committing changes

Solr separates out the act of adding documents to the index (with add() above) and committing them (with commit()). Only after they are committed will they be searchable. However, you can set your Solr instance up to autocommit after adding documents, so that you don’t need to do a separate commit step. See For simple Solr instances, this is probably the easiest approach. For heavily used instances, you should think carefully about your committing strategy.

If your data is coming from somewhere else, though, you may not already have it in the form of a dictionary. So sunburnt will accept arbitrary Python objects as input to add(). To extract the fields, it will inspect the objects for attributes or methods corresponding to field names, and use the values of the attributes (or, the result of calling the methods) as values.

So in the case above, we might have an object that looked like this:

class Book(object):
    name = “A Game of Thrones”
    author_t = “George R.R. Martin”
    id = “0553573403”
    series_t = “A Song of Ice and Fire”
    sequence_i = 1

    def price(self):
        return check_current_price(self)

    def inStock(self):
        return check_stock_levels(self) > 0

Adding this to the Solr index is as simple as:


(and you can add a list of books in the same way)

This is particularly powerful if you’re using something like Django, which provides you with ORM objects - you can drop these ORM objects straight into Solr. Given a Django Book model, you could add the whole contents of your database with the single call:


When adding very large quantities of data, you might have a source which is lazily constructed. With Django, you’d really rather construct an ORM iterator, and have sunburnt work its way through the iterator lazily, in multiple updates, rather than try and construct a single huge update POST. You can do this by doing:

si.add(Book.objects.iterator(), chunk=1000)

where chunk controls how many documents are put into each update chunk.


Optional arguments to add:

add() takes additional optional arguments: commit, commitWithin, softCommit, expungeDeletes, waitSearcher, optimize, maxSegments. See for details.

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