I use django-oscar + Solr + haystack.
*===============================================================================================================* | id | partner_sku|price_currency|price_excl_tax|num_in_stock|date_created|date_updated|partner_id|product_id| |"10451"|"S0010436" | "USD" | 74.00 | 20 |'some_date' |'some_date' | 1 | 5992 | |"10452"|"S0010436" | "USD" | 80.00 | 0 |'some_date' |'some_date' | 2 | 5992 | *===============================================================================================================* I want to index only the rows where partner_id = 2. index_queryset below does not index as I want, since all partners continue to be indexed.
class ProductIndexes(CelerySearchIndex, indexes.Indexable): text = indexes.EdgeNgramField( document=True, use_template=True, template_name='search/indexes/cpu/item_text.txt') upc = indexes.CharField(model_attr="upc", null=True) title = indexes.CharField(model_attr='title', null=True) # Fields for faceting product_class = indexes.CharField(null=True, faceted=True) category = indexes.MultiValueField(null=True, faceted=True) partner = indexes.MultiValueField(null=True, faceted=True) price = indexes.FloatField(null=True, faceted=True) vendor = indexes.CharField(null=True, faceted=True) rating = indexes.IntegerField(null=True, faceted=True) num_in_stock = indexes.BooleanField(null=True, faceted=True) # Spelling suggestions suggestions = indexes.FacetCharField() date_created = indexes.DateTimeField(model_attr='date_created') date_updated = indexes.DateTimeField(model_attr='date_updated') def get_model(self): return get_model('catalogue', 'Product') def index_queryset(self, using=None): return self.get_model().objects.filter(stockrecords__partner_id=2).order_by('-num_in_stock') How to make the indexing I need?
python manage.py rebuild_index did not forget to run