This is the best solution I found using python client
# Initialize the scroll
page = es.search(
index = 'yourIndex',
doc_type = 'yourType',
scroll = '2m',
search_type = 'scan',
size = 1000,
body = {
# Your query's body
})
sid = page['_scroll_id']
scroll_size = page['hits']['total']
# Start scrolling
while (scroll_size > 0):
print "Scrolling..."
page = es.scroll(scroll_id = sid, scroll = '2m')
# Update the scroll ID
sid = page['_scroll_id']
# Get the number of results that we returned in the last scroll
scroll_size = len(page['hits']['hits'])
print "scroll size: " + str(scroll_size)
# Do something with the obtained page
https://gist.github.com/drorata/146ce50807d16fd4a6aa
Using java client
import static org.elasticsearch.index.query.QueryBuilders.*;
QueryBuilder qb = termQuery("multi", "test");
SearchResponse scrollResp = client.prepareSearch(test)
.addSort(FieldSortBuilder.DOC_FIELD_NAME, SortOrder.ASC)
.setScroll(new TimeValue(60000))
.setQuery(qb)
.setSize(100).execute().actionGet(); //100 hits per shard will be returned for each scroll
//Scroll until no hits are returned
do {
for (SearchHit hit : scrollResp.getHits().getHits()) {
//Handle the hit...
}
scrollResp = client.prepareSearchScroll(scrollResp.getScrollId()).setScroll(new TimeValue(60000)).execute().actionGet();
} while(scrollResp.getHits().getHits().length != 0); // Zero hits mark the end of the scroll and the while loop.
https://www.elastic.co/guide/en/elasticsearch/client/java-api/current/java-search-scrolling.html