Insert documents using various data types
This example shows how to insert values for different datatype fields. Some fields can accept value as Raw JSON (e.g. nested, object, geo_point, geo_shape). Object field type can also accept value by nested field (e.g. [object_field.field1] )
INSERT INTO my_index (
binary_field,
boolean_field,
byte_field,
date_field,
double_field,
float_field,
geo_point_field, --raw
--OR--
--"geo_point_field.lat",
--"geo_point_field.lon",
geo_shape_field, --raw
--OR--
--"geo_shape_field.type",
--"geo_shape_field.coordinates",
integer_field,
ip_field,
keyword_field,
long_field,
nested_field, --raw
object_field, --raw
--OR--
--"object_field.field1",
--"object_field.field2",
short_field,
text_field
)
VALUES(
'SGVsbG8gd29ybGQ=', --binary_field --base64 value of "Hello world"
false, --bool
117, --byte_field
'2012-12-31T23:59:59.123', --date_field
1.123456789, --double_field
1.123456789, --float_field
--raw JSON must be in one line
'{ "lat": 40.7128, "lon": -74.0060 }', --geo_point_field
--OR--
-- 40.7128, -74.0060,
'{ "type": "polygon", "coordinates": [[[-74.0060, 40.7128], [-73.9960, 40.7128], [-73.9960, 40.7028], [-74.0060, 40.7028], [-74.0060, 40.7128]]] }', --geo_shape_field
--OR--
--'polygon',
--'[[[-74.0060, 40.7128], [-73.9960, 40.7128], [-73.9960, 40.7028], [-74.0060, 40.7028], [-74.0060, 40.7128]]]',
123, --integer_field
'127.0.0.1', --ip_field
'thhi is text', --keyword_field
1234567890, --long_field
--raw JSON must be in one line
'[{"nested_property_1":"nested text 1", "nested_property_2":100}, {"nested_property_1":"nested text 2", "nested_property_2":101}]', --nested_field
'{"field1":"A","field2":"B"}', --object_field (Raw Value)
--OR--
--'object field keyword 1', --object_field.field1
--123, --object_field.field2
1, --short_field
'text field ' --text_field
)