doris on es8 can not work, because type change. The use of type is no longer recommended in es7,
and support for type has been removed from es8.
1. /_mapping not support include_type_name
2. /_search not support use type
At present, the application of vlog in the code is quite confusing.
It is inherited from impala VLOG_XX format, and there is also VLOG(number) format.
VLOG(number) format does not have a unified specification, so this pr standardizes the use of VLOG
Prior to this PR, Doris On ES merged another PR https://github.com/apache/incubator-doris/pull/3513 which misusing the `total` node. After Doris On ES introduce `terminate_after` (https://github.com/apache/incubator-doris/issues/2576), the `total` documents would not be computed, rely on this `total` field would be dangerous， we just rely on the actual document count by counting the `inner hits` node which it means to be. So we just remove all total parsing and related logic from Doris On ES, this maybe improve performance slightly because of ignoring and skipping `total` json node.
The other PR : https://github.com/apache/incubator-doris/pull/3513 (https://github.com/apache/incubator-doris/issues/3479) try to resolved the `inner hits node is not an array` because when a query( batch-size) run against new segment without this field, as-well the filter_path just only take `hits.hits.fields` 、`hits.hits._source` into account, this would appear an null inner hits node:
```
{
"_scroll_id": "DXF1ZXJ5QW5kRmV0Y2gBAAAAAAAAHaUWY1ExUVd0ZWlRY2",
"hits": {
"total": 1
}
}
```
Unfortunately this PR introduce another serious inconsistent result with different batch_size because of misusing the `total`.
To avoid this two problem, we just add `hits.hits._score` to filter_path when `docvalue_mode` is true, `_score` would always `null` , and populate the inner hits node:
```
{
"_scroll_id": "DXF1ZXJ5QW5kRmV0Y2gBAAAAAAAAHaUWY1ExUVd0ZWlRY2",
"hits": {
"total": 1,
"hits": [
{
"_score": null
}
]
}
}
```
related issue: https://github.com/apache/incubator-doris/issues/3752
#3479
Here I try to explain the cause of the problem and how to fix it.
**The Cause of The problem**
Take the case in issue(#3479 ) as an example:
The general results are as follows:
```
GET table/_doc/_search
{"query":{"match_all":{}},"stored_fields":"_none_","docvalue_fields":["k1"],"sort":["_doc"],"size":100}
{
"took": 6,
"timed_out": false,
"_shards": {
……
},
"hits": {
"total": 3,
"max_score": null,
"hits": [
{
"_index": "table",
"_score": null,
"sort": [
0
]
},
{
"_index": "table",
"_score": null,
"fields": {
"k1": [
"kkk1"
]
},
"sort": [
0
]
},
{
"_index": "table",
"_score": null,
"sort": [
0
]
}
]
}
}
```
But in Doris on ES，Be fetched data parallelly on all shards, and use `filter_path` to reduce the network cost. The process will be as follows:
```
GET table/_doc/_search?preference=_shards:1&filter_path=_scroll_id,hits.hits._source,hits.total,_id,hits.hits._source.fields,hits.hits.fields
{"query":{"match_all":{}},"stored_fields":"_none_","docvalue_fields":["k1"],"sort":["_doc"],"size":100}
{
"hits": {
"total": 0
}
}
GET table/_doc/_search?preference=_shards:2&filter_path=_scroll_id,hits.hits._source,hits.total,_id,hits.hits._source.fields,hits.hits.fields
{"query":{"match_all":{}},"stored_fields":"_none_","docvalue_fields":["k1"],"sort":["_doc"],"size":100}
{
"hits": {
"total": 1
}
}
GET table/_doc/_search?preference=_shards:3&filter_path=_scroll_id,hits.hits._source,hits.total,_id,hits.hits._source.fields,hits.hits.fields
{"query":{"match_all":{}},"stored_fields":"_none_","docvalue_fields":["k1"],"sort":["_doc"],"size":100}
{
"hits": {
"total": 1,
"hits": [
{
"fields": {
"k1": [
"kkk1"
]
}
}
]
}
}
```
*Scan-Worker On BE which processed result of shard2 will failed.*
**The reasons are as follows:**
1. "filter_path" causes the hits.hits object not exist.
2. In the current implementation, if there are some data rows（total > 0）, the hits.hits. object must be an array
**How To Fix it**
Two Method:
1. modify "filter_path" to contain the hits.
Pros: Fixed Code is very simple
Cons: More network cost
2. Deal with the case where fields are missing in a batch.
Pros: No loss of performance
Cons: Code is more complex
Performance first, I use Method2.
**Design**
1. Add a variable "_doc_value_mode" into Class "EsScrollParser" to =indicate whether the data processed by this parser is doc_value_mode or not.
2. "_doc_value_mode" is passed from ESScollReader <- ESScanner <- ScrollQueryBuilder::build() that determines whether DSL is enable doc_value_mode
3. When hits.hits of response from ES is empty and total > 0. We know there are data lines, but the corresponding fields do not exist. EsScrollParser will use "_doc_value_mode" and _total to construct _total lines which fields are assigned with 'NULL'
Pure DocValue optimization for doris-on-es
Future todo:
Today, for every tuple scan we check if pure_docvalue is enabled, this is not reasonable, should check pure_docvalue enabled for one whole scan outside, I will add this todo in future
Enhance doris on es error message and modify some field data transform error.
For varchar/char type, sometimes elasticsearch user post some not-string value to Elasticsearch Index. because of reading value from _source, we can not process all json type and then just transfer the value to original string representation this may be a tricky, but we can workaround this issue
