Percolator field type

A percolator field type specifies to treat this field as a query. Any JSON object field can be marked as a percolator field. Normally, documents are indexed and searches are run against them. When you use a percolator field, you store a search, and later the percolate query matches documents to that search.

Example

A customer is searching for a table priced at $400 or less and wants to create an alert for this search.

Create a mapping assigning a percolator field type to the query field:

  1. PUT testindex1
  2. {
  3. "mappings": {
  4. "properties": {
  5. "search": {
  6. "properties": {
  7. "query": {
  8. "type": "percolator"
  9. }
  10. }
  11. },
  12. "price": {
  13. "type": "float"
  14. },
  15. "item": {
  16. "type": "text"
  17. }
  18. }
  19. }
  20. }

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Index a query:

  1. PUT testindex1/_doc/1
  2. {
  3. "search": {
  4. "query": {
  5. "bool": {
  6. "filter": [
  7. {
  8. "match": {
  9. "item": {
  10. "query": "table"
  11. }
  12. }
  13. },
  14. {
  15. "range": {
  16. "price": {
  17. "lte": 400.00
  18. }
  19. }
  20. }
  21. ]
  22. }
  23. }
  24. }
  25. }

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Fields referenced in the query must already exist in the mapping.

Run a percolate query to search for matching documents:

  1. GET testindex1/_search
  2. {
  3. "query" : {
  4. "bool" : {
  5. "filter" :
  6. {
  7. "percolate" : {
  8. "field" : "search.query",
  9. "document" : {
  10. "item" : "Mahogany table",
  11. "price": 399.99
  12. }
  13. }
  14. }
  15. }
  16. }
  17. }

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The response contains the originally indexed query:

  1. {
  2. "took" : 30,
  3. "timed_out" : false,
  4. "_shards" : {
  5. "total" : 1,
  6. "successful" : 1,
  7. "skipped" : 0,
  8. "failed" : 0
  9. },
  10. "hits" : {
  11. "total" : {
  12. "value" : 1,
  13. "relation" : "eq"
  14. },
  15. "max_score" : 0.0,
  16. "hits" : [
  17. {
  18. "_index" : "testindex1",
  19. "_type" : "_doc",
  20. "_id" : "1",
  21. "_score" : 0.0,
  22. "_source" : {
  23. "search" : {
  24. "query" : {
  25. "bool" : {
  26. "filter" : [
  27. {
  28. "match" : {
  29. "item" : {
  30. "query" : "table"
  31. }
  32. }
  33. },
  34. {
  35. "range" : {
  36. "price" : {
  37. "lte" : 400.0
  38. }
  39. }
  40. }
  41. ]
  42. }
  43. }
  44. }
  45. },
  46. "fields" : {
  47. "_percolator_document_slot" : [
  48. 0
  49. ]
  50. }
  51. }
  52. ]
  53. }
  54. }