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Fix/query #1

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06a7680
fix(queries): update some places
qingyashu Mar 1, 2019
9939373
fix(histogram): more
qingyashu Mar 1, 2019
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38 changes: 26 additions & 12 deletions doc/queries.md
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Original file line number Diff line number Diff line change
Expand Up @@ -59,7 +59,17 @@
</td>
</tr>
<tr>
<td colspan="2">Three possible aggregations available: top-level aggregation - only total number; text aggregation - buckets for key and count for that key; numeric aggregation - minimum, maximum, average, sum and count for the whole dataset and for the buckets specified by <code>rangestep</code>. Without <code>rangestep</code> it aggregates the whole dataset.</td>
<td colspan="2">Three possible aggregations available:
<li>
top-level aggregation - only total number;
</li>
<li>
text aggregation - histogram for key and count for that key;
</li>
<li>
numeric aggregation - minimum, maximum, average, sum and count for the whole dataset and for the histogram specified by <code>rangeStep</code>, <code>rangeStart</code> (default to min), and <code>rangeEnd</code> (default to max). Without <code>rangeStep</code> it aggregates the whole dataset.
</li>
</td>
</tr>
<tr>
<td>
Expand All @@ -70,13 +80,13 @@
total
}
gender {
buckets {
histogram {
key
count
}
}
age {
buckets(rangestep: 5) {
histogram(rangeStart: 0, rangeEnd: 40, rangeStep: 5) {
_range
min
max
Expand All @@ -97,7 +107,7 @@
"total": 3
},
"gender": {
"buckets": [
"histogram": [
{
"key": "F",
"count": 10
Expand All @@ -109,15 +119,16 @@
]
},
"age": {
"buckets": [
"histogram": [
{
"_range": [0, 5],
"min": 2
},
{
"_range": [5, 10],
"min": 3
}
},
...
]
}
}
Expand All @@ -131,7 +142,7 @@
{
aggs(filter: $filter) {
age {
buckets {
histogram {
min
max
avg
Expand All @@ -148,7 +159,7 @@
{
"aggs": {
"age": {
"buckets": [
"histogram": [
{
"min": 2,
"max": 10,
Expand All @@ -170,10 +181,6 @@

There is a discussion of two approaches:

* `SQL`-like syntax
```
{"filter": "Gender = "F" AND ((Age >= 27 OR Age = 15) AND _samples_count > 12)"}
```
* `JSON`-based syntax
```
{
Expand All @@ -197,4 +204,11 @@ There is a discussion of two approaches:
}
```

* `SQL`-like syntax
```
{"filter": "Gender = "F" AND ((Age >= 27 OR Age = 15) AND _samples_count > 12)"}
```
The implementation is relatively more difficult (to parse SQL string to object). But in future we want to support having a SQL-like syntax query in UI, so it is very rewarding.


## Discussion