Complete the code to perform a basic match_all search query in Elasticsearch.
{
"query": {
[1]: {}
}
}match without specifying a field causes errors.term or range queries when you want all documents.The match_all query returns all documents in the index. It is the simplest search query in Elasticsearch.
Complete the code to search for documents where the field 'title' matches 'Elasticsearch'.
{
"query": {
"match": {
"[1]": "Elasticsearch"
}
}
}content or author.The match query searches for the given text in the specified field. Here, we want to search in the title field.
Fix the error in the query to correctly search for documents with 'status' equal to 'active'.
{
"query": {
"term": {
"status": [1]
}
}
}The term query requires the value to be a string enclosed in quotes. So, "active" is correct.
Fill both blanks to create a range query that finds documents with 'age' greater than or equal to 30.
{
"query": {
"range": {
"[1]": {
"[2]": 30
}
}
}
}gt instead of gte when equality is needed.The range query uses the field name and the operator. Here, age is the field and gte means 'greater than or equal to'.
Fill all three blanks to create a bool query that must match 'python' in 'tags' and filter documents with 'published' date after '2020-01-01'.
{
"query": {
"bool": {
"must": {
"match": {
"[1]": "python"
}
},
"filter": {
"range": {
"[2]": {
"[3]": "2020-01-01"
}
}
}
}
}
}gte instead of gt if strictly after date is needed.The must clause matches the term 'python' in the tags field. The filter clause uses a range query on the published field with gt (greater than) to find dates after '2020-01-01'.