CONSOLE-ify date histogram docs
This adds the `VIEW IN SENSE` and `COPY AS CURL` links and has the build automatically execute the snippets and verify that they work. Relates to #18160
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@ -24,7 +24,6 @@ apply plugin: 'elasticsearch.docs-test'
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* only remove entries from this list. When it is empty we'll remove it
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* entirely and have a party! There will be cake and everything.... */
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buildRestTests.expectedUnconvertedCandidates = [
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'reference/aggregations/bucket/datehistogram-aggregation.asciidoc',
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'reference/aggregations/bucket/daterange-aggregation.asciidoc',
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'reference/aggregations/bucket/diversified-sampler-aggregation.asciidoc',
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'reference/aggregations/bucket/filter-aggregation.asciidoc',
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@ -12,9 +12,10 @@ Requesting bucket intervals of a month.
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[source,js]
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--------------------------------------------------
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POST /sales/_search?size=0
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{
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"aggs" : {
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"articles_over_time" : {
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"sales_over_time" : {
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"date_histogram" : {
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"field" : "date",
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"interval" : "month"
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@ -23,6 +24,8 @@ Requesting bucket intervals of a month.
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}
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}
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--------------------------------------------------
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// CONSOLE
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// TEST[setup:sales]
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Available expressions for interval: `year`, `quarter`, `month`, `week`, `day`, `hour`, `minute`, `second`
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@ -32,9 +35,10 @@ time unit (e.g., `1.5h` could instead be specified as `90m`).
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[source,js]
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--------------------------------------------------
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POST /sales/_search?size=0
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{
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"aggs" : {
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"articles_over_time" : {
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"sales_over_time" : {
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"date_histogram" : {
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"field" : "date",
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"interval" : "90m"
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@ -43,6 +47,8 @@ time unit (e.g., `1.5h` could instead be specified as `90m`).
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}
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}
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--------------------------------------------------
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// CONSOLE
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// TEST[setup:sales]
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==== Keys
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@ -56,9 +62,10 @@ TIP: If no `format` is specified, then it will use the first date
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[source,js]
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--------------------------------------------------
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POST /sales/_search?size=0
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{
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"aggs" : {
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"articles_over_time" : {
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"sales_over_time" : {
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"date_histogram" : {
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"field" : "date",
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"interval" : "1M",
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@ -68,6 +75,8 @@ TIP: If no `format` is specified, then it will use the first date
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}
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}
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--------------------------------------------------
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// CONSOLE
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// TEST[setup:sales]
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<1> Supports expressive date <<date-format-pattern,format pattern>>
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@ -76,25 +85,31 @@ Response:
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[source,js]
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--------------------------------------------------
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{
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...
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"aggregations": {
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"articles_over_time": {
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"sales_over_time": {
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"buckets": [
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{
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"key_as_string": "2013-02-02",
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"key": 1328140800000,
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"doc_count": 1
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"key_as_string": "2015-01-01",
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"key": 1420070400000,
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"doc_count": 3
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},
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{
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"key_as_string": "2013-03-02",
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"key": 1330646400000,
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"key_as_string": "2015-02-01",
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"key": 1422748800000,
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"doc_count": 2
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},
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...
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{
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"key_as_string": "2015-03-01",
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"key": 1425168000000,
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"doc_count": 2
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}
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]
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}
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}
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}
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--------------------------------------------------
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// TESTRESPONSE[s/\.\.\./"took": $body.took,"timed_out": false,"_shards": $body._shards,"hits": $body.hits,/]
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==== Time Zone
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@ -110,12 +125,12 @@ Consider the following example:
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[source,js]
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---------------------------------
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PUT my_index/log/1
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PUT my_index/log/1?refresh
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{
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"date": "2015-10-01T00:30:00Z"
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}
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PUT my_index/log/2
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PUT my_index/log/2?refresh
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{
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"date": "2015-10-01T01:30:00Z"
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}
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@ -132,6 +147,7 @@ GET my_index/_search?size=0
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}
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}
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---------------------------------
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// CONSOLE
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UTC is used if no time zone is specified, which would result in both of these
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documents being placed into the same day bucket, which starts at midnight UTC
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@ -139,7 +155,9 @@ on 1 October 2015:
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[source,js]
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---------------------------------
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"aggregations": {
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{
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...
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"aggregations": {
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"by_day": {
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"buckets": [
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{
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@ -149,8 +167,10 @@ on 1 October 2015:
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}
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]
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}
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}
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}
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---------------------------------
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// TESTRESPONSE[s/\.\.\./"took": $body.took,"timed_out": false,"_shards": $body._shards,"hits": $body.hits,/]
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If a `time_zone` of `-01:00` is specified, then midnight starts at one hour before
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midnight UTC:
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@ -170,29 +190,36 @@ GET my_index/_search?size=0
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}
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}
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---------------------------------
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// CONSOLE
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// TEST[continued]
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Now the first document falls into the bucket for 30 September 2015, while the
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second document falls into the bucket for 1 October 2015:
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[source,js]
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---------------------------------
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"aggregations": {
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{
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...
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"aggregations": {
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"by_day": {
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"buckets": [
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{
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"key_as_string": "2015-09-30T00:00:00.000-01:00", <1>
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"key": 1443571200000,
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"key": 1443574800000,
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"doc_count": 1
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},
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{
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"key_as_string": "2015-10-01T00:00:00.000-01:00", <1>
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"key": 1443657600000,
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"key": 1443661200000,
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"doc_count": 1
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}
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]
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}
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}
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}
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---------------------------------
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// TESTRESPONSE[s/\.\.\./"took": $body.took,"timed_out": false,"_shards": $body._shards,"hits": $body.hits,/]
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<1> The `key_as_string` value represents midnight on each day
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in the specified time zone.
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@ -220,12 +247,12 @@ to run from 6am to 6am:
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[source,js]
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-----------------------------
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PUT my_index/log/1
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PUT my_index/log/1?refresh
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{
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"date": "2015-10-01T05:30:00Z"
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}
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PUT my_index/log/2
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PUT my_index/log/2?refresh
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{
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"date": "2015-10-01T06:30:00Z"
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}
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}
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}
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-----------------------------
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// CONSOLE
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Instead of a single bucket starting at midnight, the above request groups the
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documents into buckets starting at 6am:
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[source,js]
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-----------------------------
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"aggregations": {
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{
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...
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"aggregations": {
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"by_day": {
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"buckets": [
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{
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}
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]
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}
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}
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}
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-----------------------------
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// TESTRESPONSE[s/\.\.\./"took": $body.took,"timed_out": false,"_shards": $body._shards,"hits": $body.hits,/]
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NOTE: The start `offset` of each bucket is calculated after the `time_zone`
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adjustments have been made.
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[source,js]
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--------------------------------------------------
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POST /sales/_search?size=0
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{
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"aggs" : {
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"publish_date" : {
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"sale_date" : {
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"date_histogram" : {
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"field" : "publish_date",
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"field" : "date",
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"interval": "year",
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"missing": "2000-01-01" <1>
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"missing": "2000/01/01" <1>
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}
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}
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}
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}
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--------------------------------------------------
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// CONSOLE
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// TEST[setup:sales]
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<1> Documents without a value in the `publish_date` field will fall into the same bucket as documents that have the value `2000-01-01`.
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