JSON Query DSL | Apache Solr Reference Guide 8.0

Queries and filters provided in JSON requests can be specified using a rich, powerful query DSL.

Query DSL Structure

The JSON Request API accepts query values in three different formats:

A valid query string that uses the default deftype (lucene, in most cases). e.g. title:solr.
A valid local parameters query string that specifies its deftype explicitly. e.g. {!dismax qf=title}solr.
A valid JSON object with the name of the query parser and any relevant parameters. e.g. { "lucene": {"df":"title", "query":"solr"}}.
- The top level "query" JSON block generally only has a single property representing the name of the query parser to use. The value for the query parser property is a child block containing any relevant parameters as JSON properties. The whole structure is analogous to a "local-params" query string. The query itself (often represented in local params using the name v) is specified with the key query instead.

All of these syntaxes can be used to specify queries for either the JSON Request API’s query or filter properties.

Query DSL Examples

The examples below show how to use each of the syntaxes discussed above to represent a query. Each snippet represents the same basic search: the term iPod in a field called name:

Using the standard query API, with a simple query string

curl

curl -X GET "http://localhost:8983/solr/techproducts/query?q=name:iPod"

SolrJ

final SolrQuery query = new SolrQuery("name:iPod");
final QueryResponse response = solrClient.query(COLLECTION_NAME, query);

Using the JSON Request API, with a simple query string

curl

curl -X POST http://localhost:8983/solr/techproducts/query -d '
{
  "query" : "name:iPod"
}'

SolrJ

final JsonQueryRequest query = new JsonQueryRequest()
    .setQuery("name:iPod");
final QueryResponse response = query.process(solrClient, COLLECTION_NAME);

Using the JSON Request API, with a local-params string

curl

curl -X POST http://localhost:8983/solr/techproducts/query -d '
{
  "query": "{!lucene df=name v=iPod}"
}'

SolrJ

final JsonQueryRequest query = new JsonQueryRequest()
    .setQuery("{!lucene df=name}iPod");
final QueryResponse response = query.process(solrClient, COLLECTION_NAME);

Using the JSON Request API, with a fully expanded JSON object

curl

curl -X POST http://localhost:8983/solr/techproducts/query -d '
{
  "query": {
    "lucene": {
      "df": "name",
      "query": "iPod"
    }
  }
}'

SolrJ

final Map<String, Object> queryTopLevel = new HashMap<>();
final Map<String, Object> luceneQueryProperties = new HashMap<>();
queryTopLevel.put("lucene", luceneQueryProperties);
luceneQueryProperties.put("df", "name");
luceneQueryProperties.put("query", "iPod");
final JsonQueryRequest query = new JsonQueryRequest()
    .setQuery(queryTopLevel);
final QueryResponse response = query.process(solrClient, COLLECTION_NAME);

Nested Queries

Many of Solr’s query parsers allow queries to be nested within one another. When these are used, requests using the standard query API quickly become hard to write, read, and understand. These sorts of queries are often much easier to work with in the JSON Request API.

Nested Boost Query Example

As an example, consider the three requests below, which wrap a simple query (the term iPod in the field name) within a boost query:

Using the standard query API.

curl

curl -X GET "http://localhost:8983/solr/techproducts/query?q={!boost b=log(popularity) v=\'{!lucene df=name}iPod\'}"

SolrJ

final SolrQuery query = new SolrQuery("{!boost b=log(popularity) v=\'{!lucene df=name}iPod\'}");
final QueryResponse response = solrClient.query(COLLECTION_NAME, query);

Using the JSON Request API, with a mix of fully-expanded and local-params queries. As you can see, the special key v is replaced with the key query.

curl

curl -X POST http://localhost:8983/solr/techproducts/query -d '
{
    "query" : {
        "boost": {
            "query": {!lucene df=name}iPod,
            "b": "log(popularity)"
        }
    }
}'

SolrJ

final Map<String, Object> queryTopLevel = new HashMap<>();
final Map<String, Object> boostQuery = new HashMap<>();
queryTopLevel.put("boost", boostQuery);
boostQuery.put("b", "log(popularity)");
boostQuery.put("query", "{!lucene df=name}iPod");
final JsonQueryRequest query = new JsonQueryRequest()
    .setQuery(queryTopLevel);
final QueryResponse response = query.process(solrClient, COLLECTION_NAME);

Using the JSON Request API, with all queries fully expanded as JSON

curl

curl -X POST http://localhost:8983/solr/techproducts/query -d '
{
    "query": {
        "boost": {
            "query": {
                "lucene": {
                    "df": "name",
                    "query": "iPod"
                }
            },
            "b": "log(popularity)"
        }
    }
}'

SolrJ

final Map<String, Object> queryTopLevel = new HashMap<>();
final Map<String, Object> boostProperties = new HashMap<>();
final Map<String, Object> luceneTopLevel = new HashMap();
final Map<String, Object> luceneProperties = new HashMap<>();
queryTopLevel.put("boost", boostProperties);
boostProperties.put("b", "log(popularity)");
boostProperties.put("query", luceneTopLevel);
luceneTopLevel.put("lucene", luceneProperties);
luceneProperties.put("df", "name");
luceneProperties.put("query", "iPod");
final JsonQueryRequest query = new JsonQueryRequest()
    .setQuery(queryTopLevel);
final QueryResponse response = query.process(solrClient, COLLECTION_NAME);

Nested Boolean Query Example

Query nesting is commonly seen when combining multiple query clauses together using pseudo-boolean logic with the BoolQParser.

The example below shows how the BoolQParser can be used to create powerful nested queries. In this example, a user searches for results with iPod in the field name which are not in the bottom half of the popularity rankings.

curl

curl -X POST http://localhost:8983/solr/techproducts/query -d '
{
    "query": {
        "bool": {
            "must": [
                {"lucene": {"df": "name", query: "iPod"}}
            ],
            "must_not": [
                {"frange": {"l": "0", "u": "5", "query": "popularity"}}
            ]
        }
    }
}'

SolrJ

final Map<String, Object> queryTopLevel = new HashMap<>();
final Map<String, Object> boolProperties = new HashMap<>();
final List<Object> mustClauses = new ArrayList<>();
final List<Object> mustNotClauses = new ArrayList<>();
final Map<String, Object> frangeTopLevel = new HashMap<>();
final Map<String, Object> frangeProperties = new HashMap<>();

queryTopLevel.put("bool", boolProperties);
boolProperties.put("must", mustClauses);
mustClauses.add("name:iPod");

boolProperties.put("must_not", mustNotClauses);
frangeTopLevel.put("frange", frangeProperties);
frangeProperties.put("l", 0);
frangeProperties.put("u", 5);
frangeProperties.put("query", "popularity");
mustNotClauses.add(frangeTopLevel);

final JsonQueryRequest query = new JsonQueryRequest()
    .setQuery(queryTopLevel);
final QueryResponse response = query.process(solrClient, COLLECTION_NAME);

If lucene is the default query parser, the example above can be simplified to:

curl

curl -X POST http://localhost:8983/solr/techproducts/query -d '
{
    "query": {
        "bool": {
            "must": [
                "name:iPod"
            ],
            "must_not": "{!frange l=0 u=5}popularity"
        }
    }
}'

SolrJ

final Map<String, Object> queryTopLevel = new HashMap<>();
final Map<String, Object> boolProperties = new HashMap<>();
final List<Object> mustClauses = new ArrayList<>();
final List<Object> mustNotClauses = new ArrayList<>();
queryTopLevel.put("bool", boolProperties);
boolProperties.put("must", "name:iPod");
boolProperties.put("must_not", "{!frange l=0 u=5}popularity");

final JsonQueryRequest query = new JsonQueryRequest()
    .setQuery(queryTopLevel);
final QueryResponse response = query.process(solrClient, COLLECTION_NAME);

Filter Queries

The syntaxes discussed above can also be used to specify query filters (under the filter key) in addition to the main query itself.

For example, the above query can be rewritten using a filter clause as:

curl

curl -X POST http://localhost:8983/solr/techproducts/query -d '
{
    "query": {
        "bool": {
            "must_not": "{!frange l=0 u=5}popularity"
        }
    },
    "filter: [
        "name:iPod"
    ]
}'

SolrJ

final Map<String, Object> queryTopLevel = new HashMap<>();
final Map<String, Object> boolProperties = new HashMap<>();
queryTopLevel.put("bool", boolProperties);
boolProperties.put("must_not","{!frange l=0 u=5}popularity");

final JsonQueryRequest query = new JsonQueryRequest()
    .setQuery(queryTopLevel)
    .withFilter("name:iPod");
final QueryResponse response = query.process(solrClient, COLLECTION_NAME);

Tagging in JSON Query DSL

Query and filter clauses can also be individually "tagged". Tags serve as handles for query clauses, allowing them to be referenced from elsewhere in the request. This is most commonly used by the filter-exclusion functionality offered by both traditional and JSON faceting.

Queries and filters are tagged by wrapping them in a surrounding JSON object. The name of the tag is specified as a JSON key, with the query string (or object) becoming the value associated with that key. Tag name properties are prefixed with a hash, and may include multiple tags, separated by commas. For example: {"#title,tag2,tag3":"title:solr"}. Note that unlike the rest of the JSON request API which uses lax JSON parsing rules, tags must be surrounded by double-quotes because of the leading # character. The example below creates two tagged clauses: titleTag and inStockTag.

curl

curl -X POST http://localhost:8983/solr/techproducts/select -d '
{
  "query": "*:*",
  "filter": [
    {
      "#titleTag": "name:Solr"
    },
    {
      "#inStockTag": "inStock:true"
    }
  ]
}'

SolrJ

final Map<String, Object> titleTaggedQuery = new HashMap<>();
titleTaggedQuery.put("#titleTag", "name:Solr");
final Map<String, Object> inStockTaggedQuery = new HashMap<>();
inStockTaggedQuery.put("#inStockTag", "inStock:true");
final JsonQueryRequest query = new JsonQueryRequest()
    .setQuery("*:*")
    .withFilter(titleTaggedQuery)
    .withFilter(inStockTaggedQuery);
final QueryResponse response = query.process(solrClient, COLLECTION_NAME);

Note that the tags created in the example above have no impact in how the search is executed. Tags will not affect a query unless they are referenced by some other part of the request that uses them.