The search command finds records from the specified table based on given conditions, and returns found records and/or related information.
This is designed as the most basic (low layer) command on Droonga, to search information from a database. When you want to add a new plugin including “search” feature, you should develop it as just a wrapper of this command, instead of developing something based on more low level technologies.
(Document Root)/droonga/searchPOST(Document Root)/tables/(table name)GETquery: A string, applied to (root).(table name).condition.query.match_to: A comma-separated string, applied to (root).(table name).condition.matchTo.sort_by: A comma-separated string, applied to (root).(table name).sortBy.attributes: A comma-separated string, applied to (root).(table name).output.attributes.offset: An integer, applied to (root).(table name).output.offset.limit: An integer, applied to (root).(table name).output.limit.timeout: An integer, applied to (root).timeout.For example:
/tables/Store?query=NY&match_to=_key&attributes=_key,*&limit=10type of the requestsearchbody of the requesttype of the responsesearch.result{
"timeout" : <Seconds to be timed out>,
"queries" : {
"<Name of the query 1>" : {
"source" : "<Name of a table or another query>",
"condition" : <Search conditions>,
"sortBy" : <Sort conditions>,
"groupBy" : <Group conditions>,
"output" : <Output conditions>
},
"<Name of the query 2>" : { ... },
...
}
}
This section describes how to use this command, via a typical usage with following table:
Person table (with primary key):
| _key | name | age | sex | job | note |
| Alice Arnold | Alice Arnold | 20 | female | announcer | |
| Alice Cooper | Alice Cooper | 30 | male | musician | |
| Alice Miller | Alice Miller | 25 | female | doctor | |
| Bob Dole | Bob Dole | 42 | male | lawer | |
| Bob Cousy | Bob Cousy | 38 | male | basketball player | |
| Bob Wolcott | Bob Wolcott | 36 | male | baseball player | |
| Bob Evans | Bob Evans | 31 | male | driver | |
| Bob Ross | Bob Ross | 54 | male | painter | |
| Lewis Carroll | Lewis Carroll | 66 | male | writer | the author of Alice’s Adventures in Wonderland |
Note: name and note are indexed with TokensBigram.
This is a simple example to output all records of the Person table:
{
"type" : "search",
"body" : {
"queries" : {
"people" : {
"source" : "Person",
"output" : {
"elements" : ["count", "records"],
"attributes" : ["_key", "*"],
"limit" : -1
}
}
}
}
}
=> {
"type" : "search.result",
"body" : {
"people" : {
"count" : 9,
"records" : [
["Alice Arnold", "Alice Arnold", 20, "female", "announcer", ""],
["Alice Cooper", "Alice Cooper", 30, "male", "musician", ""],
["Alice Miller", "Alice Miller", 25, "male", "doctor", ""],
["Bob Dole", "Bob Dole", 42, "male", "lawer", ""],
["Bob Cousy", "Bob Cousy", 38, "male", "basketball player", ""],
["Bob Wolcott", "Bob Wolcott", 36, "male", "baseball player", ""],
["Bob Evans", "Bob Evans", 31, "male", "driver", ""],
["Bob Ross", "Bob Ross", 54, "male", "painter", ""],
["Lewis Carroll", "Lewis Carroll", 66, "male", "writer",
"the author of Alice's Adventures in Wonderland"]
]
}
}
}
The name people is a temporary name for the search query and its result.
A response of a search command will be returned as a hash, and the keys are same to keys of the given queries.
So, this means: “name the search result of the query as people”.
Why the command above returns all informations of the table? Because:
output’s elements contains records (and count) column(s). The parameter elements controls the returned information. Matched records are returned as records, the total number of matched records are returned as count.output’s limit is -1. The parameter limit controls the number of returned records, and -1 means “return all records”.output’s attributes contains two values "_key" and "*". They mean “all columns of the Person table, including the _key” and it equals to ["_key", "name", "age", "sex", "job", "note"] in this case. The parameter attributes controls which columns’ value are returned.Search conditions are specified via the condition parameter. There are two styles of search conditions: “script syntax” and “query syntax”. See condition parameter for more details.
Search conditions in script syntax are similar to ECMAScript. For example, following query means “find records that name contains Alice and age is larger than or equal to 25”:
{
"type" : "search",
"body" : {
"queries" : {
"people" : {
"source" : "Person",
"condition" : "name @ 'Alice' && age >= 25"
"output" : {
"elements" : ["count", "records"],
"attributes" : ["name", "age"],
"limit" : -1
}
}
}
}
}
=> {
"type" : "search.result",
"body" : {
"people" : {
"count" : 2,
"records" : [
["Alice Arnold", 20],
["Alice Cooper", 30],
["Alice Miller", 25]
]
}
}
}
Script syntax is compatible to Groonga’s one. See the linked document for more details.
The query syntax is mainly designed for search boxes in webpages. For example, following query means “find records that name or note contain the given word, and the word is Alice”:
{
"type" : "search",
"body" : {
"queries" : {
"people" : {
"source" : "Person",
"condition" : {
"query" : "Alice",
"matchTo" : ["name", "note"]
},
"output" : {
"elements" : ["count", "records"],
"attributes" : ["name", "note"],
"limit" : -1
}
}
}
}
}
=> {
"type" : "search.result",
"body" : {
"people" : {
"count" : 4,
"records" : [
["Alice Arnold", ""],
["Alice Cooper", ""],
["Alice Miller", ""],
["Lewis Carroll",
"the author of Alice's Adventures in Wonderland"]
]
}
}
}
Query syntax is compatible to Groonga’s one. See the linked document for more details.
Returned records can be sorted by conditions specified as the sortBy parameter. For example, following query means “sort results by their age, in ascending order”:
{
"type" : "search",
"body" : {
"queries" : {
"people" : {
"source" : "Person",
"condition" : "name @ 'Alice'"
"sortBy" : ["age"],
"output" : {
"elements" : ["count", "records"],
"attributes" : ["name", "age"],
"limit" : -1
}
}
}
}
}
=> {
"type" : "search.result",
"body" : {
"people" : {
"count" : 8,
"records" : [
["Alice Arnold", 20],
["Alice Miller", 25],
["Alice Cooper", 30]
]
}
}
}
If you add - before name of columns, then search results are returned in descending order. For example:
{
"type" : "search",
"body" : {
"queries" : {
"people" : {
"source" : "Person",
"condition" : "name @ 'Alice'"
"sortBy" : ["-age"],
"output" : {
"elements" : ["count", "records"],
"attributes" : ["name", "age"],
"limit" : -1
}
}
}
}
}
=> {
"type" : "search.result",
"body" : {
"people" : {
"count" : 8,
"records" : [
["Alice Cooper", 30],
["Alice Miller", 25],
["Alice Arnold", 20]
]
}
}
}
See sortBy parameter for more details.
Search results can be retuned partially via offset and limit under the output parameter. For example, following queries will return 20 or more search results by 10’s.
{
"type" : "search",
"body" : {
"queries" : {
"people" : {
"source" : "Person",
"output" : {
"elements" : ["count", "records"],
"attributes" : ["name"],
"offset" : 0,
"limit" : 10
}
}
}
}
}
=> returns 10 results from the 1st to the 10th.
{
"type" : "search",
"body" : {
"queries" : {
"people" : {
"source" : "Person",
"output" : {
"elements" : ["count", "records"],
"attributes" : ["name"],
"offset" : 10,
"limit" : 10
}
}
}
}
}
=> returns 10 results from the 11th to the 20th.
{
"type" : "search",
"body" : {
"queries" : {
"people" : {
"source" : "Person",
"output" : {
"elements" : ["count", "records"],
"attributes" : ["name"],
"offset" : 20,
"limit" : 10
}
}
}
}
}
=> returns 10 results from the 21st to the 30th.
The value -1 is not recommended for the limit parameter, in regular use. It will return too much results and increase traffic loads. Instead 100 or less value is recommended for the limit parameter. Then you should do paging by the offset parameter.
See output parameter for more details.
Moreover, you can do paging via the sortBy parameter and it will work faster than the paging by the output parameter. You should do paging via the sortBy parameter instead of output as much as possible.
Search result records in examples above are shown as arrays of arrays, but they can be returned as arrays of hashes by the output’s format parameter. If you specify complex for the format, then results are returned like:
{
"type" : "search",
"body" : {
"queries" : {
"people" : {
"source" : "Person",
"output" : {
"elements" : ["count", "records"],
"attributes" : ["_key", "name", "age", "sex", "job", "note"],
"limit" : 3,
"format" : "complex"
}
}
}
}
}
=> {
"type" : "search.result",
"body" : {
"people" : {
"count" : 9,
"records" : [
{ "_key" : "Alice Arnold",
"name" : "Alice Arnold",
"age" : 20,
"sex" : "female",
"job" : "announcer",
"note" : "" },
{ "_key" : "Alice Cooper",
"name" : "Alice Cooper",
"age" : 30,
"sex" : "male",
"job" : "musician",
"note" : "" },
{ "_key" : "Alice Miller",
"name" : "Alice Miller",
"age" : 25,
"sex" : "female",
"job" : "doctor",
"note" : "" }
]
}
}
}
Search result records will be returned as an array of hashes, when you specify complex as the value of the format parameter.
Otherwise - simple or nothing is specified -, records are returned as an array of arrays.
See output parameters and responses for more details.
You can group search results by a column, via the groupBy parameters. For example, following query returns a result grouped by the sex column, with the count of original search results:
{
"type" : "search",
"body" : {
"queries" : {
"sexuality" : {
"source" : "Person",
"groupBy" : "sex",
"output" : {
"elements" : ["count", "records"],
"attributes" : ["_key", "_nsubrecs"],
"limit" : -1
}
}
}
}
}
=> {
"type" : "search.result",
"body" : {
"sexuality" : {
"count" : 2,
"records" :
["female", 2],
["male", 7]
]
}
}
}
The result means: “There are two female records and seven male records, moreover there are two types for the column sex.
You can also extract the ungrouped record by the maxNSubRecords parameter and the _subrecs virtual column. For example, following query returns the result grouped by sex and extract two ungrouped records:
{
"type" : "search",
"body" : {
"queries" : {
"sexuality" : {
"source" : "Person",
"groupBy" : {
"keys" : "sex",
"maxNSubRecords" : 2
},
"output" : {
"elements" : ["count", "records"],
"attributes" : [
"_key",
"_nsubrecs",
{ "label" : "subrecords",
"source" : "_subrecs",
"attributes" : ["name"] }
],
"limit" : -1
}
}
}
}
}
=> {
"type" : "search.result",
"body" : {
"sexuality" : {
"count" : 2,
"records" :
["female", 2, [["Alice Arnold"], ["Alice Miller"]]],
["male", 7, [["Alice Cooper"], ["Bob Dole"]]]
]
}
}
}
See groupBy parameters for more details.
Multiple queries can be appear in one search command. For example, following query searches people younger than 25 or older than 40:
{
"type" : "search",
"body" : {
"queries" : {
"junior" : {
"source" : "Person",
"condition" : "age <= 25",
"output" : {
"elements" : ["count", "records"],
"attributes" : ["name", "age"],
"limit" : -1
}
},
"senior" : {
"source" : "Person",
"condition" : "age >= 40",
"output" : {
"elements" : ["count", "records"],
"attributes" : ["name", "age"],
"limit" : -1
}
}
}
}
}
=> {
"type" : "search.result",
"body" : {
"junior" : {
"count" : 2,
"records" : [
["Alice Arnold", 20],
["Alice Miller", 25]
]
},
"senior" : {
"count" : 3,
"records" : [
["Bob Dole", 42],
["Bob Ross", 54],
["Lewis Carroll", 66]
]
}
}
}
Each search result can be identified by the temporary name given for each query.
You can specify not only an existing table, but search result of another query also, as the value of the “source” parameter. Chained search queries can do flexible search in just one request.
For example, the following query returns two results: records that their name contains Alice, and results grouped by their sex column:
{
"type" : "search",
"body" : {
"queries" : {
"people" : {
"source" : "Person",
"condition" : "name @ 'Alice'"
"output" : {
"elements" : ["count", "records"],
"attributes" : ["name", "age"],
"limit" : -1
}
},
"sexuality" : {
"source" : "people",
"groupBy" : "sex",
"output" : {
"elements" : ["count", "records"],
"attributes" : ["_key", "_nsubrecs"],
"limit" : -1
}
}
}
}
}
=> {
"type" : "search.result",
"body" : {
"people" : {
"count" : 8,
"records" : [
["Alice Cooper", 30],
["Alice Miller", 25],
["Alice Arnold", 20]
]
},
"sexuality" : {
"count" : 2,
"records" :
["female", 2],
["male", 1]
]
}
}
}
You can use search queries just internally, without output. For example, the following query does: 1) group records of the Person table by their job column, and 2) extract grouped results which have the text player in their job. (*Note: The second query will be done without indexes, so it can be slow.)
{
"type" : "search",
"body" : {
"queries" : {
"allJob" : {
"source" : "Person",
"groupBy" : "job"
},
"playerJob" : {
"source" : "allJob",
"condition" : "_key @ `player`",
"output" : {
"elements" : ["count", "records"],
"attributes" : ["_key", "_nsubrecs"],
"limit" : -1
}
}
}
}
}
=> {
"type" : "search.result",
"body" : {
"playerJob" : {
"count" : 2,
"records" : [
["basketball player", 1],
["baseball player", 1]
]
}
}
}
timeout*Note: This parameter is not implemented yet on the version 1.0.9.
10000 (10 seconds)Droonga Engine will return an error response instead of a search result, if the search operation take too much time, longer than the given timeout.
Clients may free resources for the search operation after the timeout.
queriesYou can put multiple search queries in a search request.
On the 1.0.9, all search results for a request are returned in one time. In the future, as an optional behaviour, each result can be returned as separated messages progressively.
sourceYou can do a facet search, specifying a name of another search query as its source.
The order of operations is automatically resolved by Droonga itself. You don’t have to write queries in the order they should be operated in.
conditionIf no condition is given, then all records in the source will appear as the search result, for following operations and the output.
This is a sample condition in the script syntax:
"name == 'Alice' && age >= 20"
It means “the value of the name column equals to "Alice", and the value of the age column is 20 or more”.
See the reference document of the script syntax on Groonga for more details.
In this pattern, you’ll specify a search condition as a hash based on a script syntax string, like:
{
"script" : "name == 'Alice' && age >= 20",
"allowUpdate" : true
}
(*Note: under construction because the specification of the allowUpdate parameter is not defined yet.)
In this pattern, you’ll specify a search condition as a hash like:
{
"query" : "Alice",
"matchTo" : ["name * 2", "job * 1"],
"defaultOperator" : "&&",
"allowPragma" : true,
"allowColumn" : true,
"matchEscalationThreshold" : 10
}
querymatchToquery, it will work as a search query for columns specified by this parameter.
You can apply weighting for each column, like name * 2.
This parameter is optional.defaultOperatorquery. Possible values:
"&&" : means “AND” condition."||" : means “OR” condition."-" : means “NOT” condition.This parameter is optional, the default value is "&&".
allowPragmatrue) or disallow (false) to use “pragma” like *E-1, on the head of the query.
This parameter is optional, the default value is true.allowColumntrue) or disallow (false) to specify column name for each query in the query, like name:Alice.
This parameter is optional, the default value is true.allowLeadingNottrue) or disallow (false) to appear “negative expression” on the first query in the query, like -foobar.
This parameter is optional, the default value is false.matchEscalationThreshold0.In this pattern, you’ll specify a search condition as an array like:
[
"&&",
<search condition 1>,
<search condition 2>,
...
]
The fist element of the array is an operator string. Possible values:
"&&" : means “AND” condition."||" : means “OR” condition."-" : means “NOT” condition.Rest elements are logically operated based on the operator.
For example this is an “AND” operated condition based on two conditions, means “the value of the name equals to "Alice", and, the value of the age is 20 or more”:
["&&", "name == 'Alice'", "age >= 20"]
Nested array means more complex conditions. For example, this means “name equals to "Alice" and age is 20 or more, but job does not equal to "engineer"”:
[
"-",
["&&", "name == 'Alice'", "age >= 20"],
"job == 'engineer'"
]
sortByIf sort conditions are not specified, then all results will appear as-is, for following operations and the output.
Sort condition is given as an array of column name strings.
At first Droonga tries to sort records by the value of the first given sort column. After that, if there are multiple records which have same value for the column, then Droonga tries to sort them by the secondary given sort column. These processes are repeated for all given sort columns.
You must specify sort columns as an array, even if there is only one column.
Records are sorted by the value of the column value, in an ascending order. Results can be sorted in descending order if sort column name has a prefix -.
For example, this condition means “sort records by the name at first in an ascending order, and sort them by their `age~ column in the descending order”:
["name", "-age"]
Paging conditions can be specified as a part of a sort condition hash, like:
{
"keys" : [<Sort columns>],
"offset" : <Offset of paging>,
"limit" : <Number of results to be extracted>
}
keysoffset0 or larger integers.
This parameter is optional and the default value is 0.
limit-1, 0, or larger integers. The value -1 means “return all results”.
This parameter is optional and the default value is -1.
For example, this condition extracts 10 sorted results from 11th to 20th:
{
"keys" : ["name", "-age"],
"offset" : 10,
"limit" : 10
}
In most cases, paging by a sort condition is faster than paging by output’s limit and output, because this operation reduces the number of records.
groupByIf a condition for grouping is given, then grouped result records will appear as the result, for following operations and the output.
A condition of grouping is given as a string of a column name or an expression.
Droonga groups (sorted) search result records, based on the value of the specified column. Then the result of the grouping will appear instead of search results from the source. Result records of a grouping will have following columns:
_key_nsubrecsFor example, this condition means “group records by their job column’s value, with the number of grouped records for each value”:
"job"
A condition of grouping can include more options, like:
{
"key" : "<Basic condition for grouping>",
"maxNSubRecords" : <Number of sample records included into each grouped result>
}
keymaxNSubRecords0 or larger. -1 is not acceptable.
This parameter is optional, the default value is 0.
For example, this condition will return results grouped by their job column with one sample record per a grouped result:
{
"key" : "job",
"maxNSubRecords" : 1
}
Grouped results will have all columns of the result of the basic conditions for grouping, and following extra columns:
_subrecs*Note: On the version 1.0.9, too many records can be returned larger than the specified maxNSubRecords, if the dataset has multiple volumes. This is a known problem and to be fixed in a future version.
outputIf no output is given, then search results of the query won’t be exported to the returned message.
You can reduce processing time and traffic via omitting of output for temporary tables which are used only for grouping and so on.
An output definition is given as a hash like:
{
"elements" : [<Names of elements to be exported>],
"format" : "<Format of each record>",
"offset" : <Offset of paging>,
"limit" : <Number of records to be exported>,
"attributes" : <Definition of columnst to be exported for each record>
}
elements"startTime""elapsedTime""count""attributes""records"This parameter is optional, there is not default value. Nothing will be exported if no element is specified.
format"simple" : Each record will be exported as an array of column values."complex" : Each record will be exported as a hash.This parameter is optional, the default value is "simple".
offset0 or larger integers.
This parameter is optional and the default value is 0.
limit-1, 0, or larger integers. The value -1 means “export all records”.
This parameter is optional and the default value is 0.
attributesEach column can be defined in one of following styles:
"name" : Exports the value of the name column, as is."age" : Exports the value of the age column, as is.This exports the value of the name column as a column with different name realName.
{ "label" : "realName", "source" : "name" }
This exports the snippet in HTML fragment as a column with the name html.
{ "label" : "html", "source": "snippet_html(name)" }
This exports a static value "Japan" for the country column of all records.
(This will be useful for debugging, or a use case to try modification of APIs.)
{ "label" : "country", "source" : "'Japan'" }
This exports a number of grouped records as the "itemsCount" column of each record (grouped result).
{ "label" : "itemsCount", "source" : "_nsubrecs", }
This exports samples of the source records of grouped records, as the "items" column of grouped records.
The format of the "attributes" is just same to this section.
{ "label" : "items", "source" : "_subrecs",
"attributes": ["name", "price"] }
An array of column definitions can contain any type definition described above, like:
[
"name",
"age",
{ "label" : "realName", "source" : "name" }
]
In this case, you can use a special column name "*" which means “all columns except special columns like _key”.
["*"] exports all columns (except _key and _id), as is.["_key", "*"] exports exports all columns as is, with preceding _key.["*", "_nsubrecs"] exports exports all columns as is, with following _nsubrecs.A hash of column definitions can contain any type definition described above except label of hashes, because keys of the hash means label of each column, like:
{
"name" : "name",
"age" : "age",
"realName" : { "source" : "name" },
"country" : { "source" : "'Japan'" }
}
This parameter is optional, there is no default value. No column will be exported if no column is specified.
This command returns a hash as the result as the body, with 200 as the statusCode.
Keys of the result hash is the name of each query (a result of a search query), values of the hash is the result of each search query, like:
{
"<Name of the query 1>" : {
"startTime" : "<Time to start the operation>",
"elapsedTime" : <Elapsed time to process the query, in milliseconds),
"count" : <Number of records searched by the given conditions>,
"attributes" : <Array or hash of exported columns>,
"records" : [<Array of search result records>]
},
"<Name of the query 2>" : { ... },
...
}
A hash of a search query’s result can have following elements, but only some elements specified in the elements of the output parameter will appear in the response.
startTimeA local time string meaning the search operation is started.
It is formatted in the W3C-DTF, with the time zone like:
2013-11-29T08:15:30+09:00
elapsedTimeAn integer meaning the elapsed time of the search operation, in milliseconds.
countAn integer meaning the total number of search result records.
Paging options offset and limit in sortBy or output will not affect to this count.
attributes and recordsattributes is an array or a hash including information of exported columns for each record.records is an array of search result records.There are two possible patterns of attributes and records, based on the output’s format parameter.
A search result with "simple" as the value of output’s format will be returned as a hash like:
{
"startTime" : "<Time to start the operation>",
"elapsedTime" : <Elapsed time to process the query),
"count" : <Total number of search result records>,
"attributes" : [
{ "name" : "<Name of the column 1>",
"type" : "<Type of the column 1>",
"vector" : <It this column is a vector column?> },
{ "name" : "<Name of the column 2>",
"type" : "<Type of the column 2>",
"vector" : <It this column is a vector column?> },
{ "name" : "<Name of the column 3 (with subrecords)>"
"attributes" : [
{ "name" : "<Name of the column 3-1>",
"type" : "<Type of the column 3-1>",
"vector" : <It this column is a vector column?> },
{ "name" : "<Name of the the column 3-2>",
"type" : "<Type of the the column 3-2>",
"vector" : <It this column is a vector column?> },
],
...
},
...
],
"records" : [
[<Value of the column 1 of the record 1>,
<Value of the column 2 of the record 1>,
[
[<Value of the column of 3-1 of the subrecord 1 of the record 1>,
<Value of the column of 3-2 of the subrecord 2 of the record 1>,
...],
[<Value of the column of 3-1 of the subrecord 1 of the record 1>,
<Value of the column of 3-2 of the subrecord 2 of the record 1>,
...],
...],
...],
[<Value of the column 1 of the record 2>,
<Value of the column 2 of the record 2>,
[
[<Value of the column of 3-1 of the subrecord 1 of the record 2>,
<Value of the column of 3-2 of the subrecord 2 of the record 2>,
...],
[<Value of the column of 3-1 of the subrecord 1 of the record 2>,
<Value of the column of 3-2 of the subrecord 2 of the record 2>,
...],
...],
...],
...
]
}
This format is designed to reduce traffic with small responses, instead of useful rich data format. Recommended for cases when the response can include too much records, or the service can accept too much requests.
attributesAn array of column informations for each exported search result, ordered by the output parameter’s attributes.
Each column information is returned as a hash in the form of one of these three variations corresponding to the kind of values. The hash will have the following keys respectively:
nameoutput parameter’s attributes.typevectortrue : It is a vector column.false : It is not a vector column, but a scalar column.nameoutput parameter’s attributes.attributesattributes for (main) records. This means attributes has recursive structure.nameoutput parameter’s attributes.recordsAn array of exported search result records.
Each record is exported as an array of column values, ordered by the output parameter’s attributes.
A value of date time type column will be returned as a string formatted in the W3C-DTF, with the time zone.
A search result with "complex" as the value of output’s format will be returned as a hash like:
{
"startTime" : "<Time to start the operation>",
"elapsedTime" : <Elapsed time to process the query),
"count" : <Total number of search result records>,
"attributes" : {
"<Name of the column 1>" : { "type" : "<Type of the column 1>",
"vector" : <It this column is a vector column?> },
"<Name of the column 2>" : { "type" : "<Type of the column 2>",
"vector" : <It this column is a vector column?> },
"<Name of the column 3 (with subrecords)>" : {
"attributes" : {
"<Name of the column 3-1>" : { "type" : "<Type of the column 3-1>",
"vector" : <It this column is a vector column?> },
"<Name of the column 3-2>" : { "type" : "<Type of the column 3-2>",
"vector" : <It this column is a vector column?> },
...
}
},
...
],
"records" : [
{ "<Name of the column 1>" : <Value of the column 1 of the record 1>,
"<Name of the column 2>" : <Value of the column 2 of the record 1>,
"<Name of the column 3 (with subrecords)>" : [
{ "<Name of the column 3-1>" : <Value of the column 3-1 of the subrecord 1 of record 1>,
"<Name of the column 3-2>" : <Value of the column 3-2 of the subrecord 1 of record 1>,
... },
{ "<Name of the column 3-1>" : <Value of the column 3-1 of the subrecord 2 of record 1>,
"<Name of the column 3-2>" : <Value of the column 3-2 of the subrecord 2 of record 1>,
... },
...
],
... },
{ "<Name of the column 1>" : <Value of the column 1 of the record 2>,
"<Name of the column 2>" : <Value of the column 2 of the record 2>,
"<Name of the column 3 (with subrecords)>" : [
{ "<Name of the column 3-1>" : <Value of the column 3-1 of the subrecord 1 of record 2>,
"<Name of the column 3-2>" : <Value of the column 3-2 of the subrecord 1 of record 2>,
... },
{ "<Name of the column 3-1>" : <Value of the column 3-1 of the subrecord 2 of record 2>,
"<Name of the column 3-2>" : <Value of the column 3-2 of the subrecord 2 of record 2>,
... },
...
],
... },
...
]
}
This format is designed to keep human readability, instead of less traffic. Recommended for small traffic cases like development, debugging, features only for administrators, and so on.
attributesA hash of column informations for each exported search result. Keys of the hash are column names defined by the output parameter’s attributes, values are informations of each column.
Each column information is returned as a hash in the form of one of these three variations corresponding to the kind of values. The hash will have the following keys respectively:
typevectortrue : It is a vector column.false : It is not a vector column, but a scalar column.attributesattributes for (main) records. This means attributes has recursive structure.Has no key. Just a empty hash {} will be returned.
recordsAn array of exported search result records.
Each record is exported as a hash. Keys of the hash are column names defined by output parameter’s attributes, values are column values.
A value of date time type column will be returned as a string formatted in the W3C-DTF, with the time zone.
This command reports errors not only general errors but also followings.
MissingSourceParameterMeans you’ve forgotten to specify the source parameter. The status code is 400.
UnknownSourceMeans there is no existing table and no other query with the name, for a source of a query. The status code is 404.
CyclicSourceMeans there is any circular reference of sources. The status code is 400.
SearchTimeoutMeans the engine couldn’t finish to process the request in the time specified as timeout. The status code is 500.