The unique table also should be compensated candidate index.
The reason is the same as the agg table type.
Fixed#3771.
Change-Id: Ic04b0360a0b178cb0b6ee635e56f48852092ec09
If you a load task encoutering error, it will be cancelled.
At this time, FE will clear the Txn according to the DbName.
In FE, DbName should be added by cluter name.
If missing cluster name, it will encounter NullPointer.
As a result, the Txn will still exists until timeout.
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
This CL mainly changes:
1. Add a new BE config `max_pushdown_conditions_per_column` to limit the number of conditions of a single column that can be pushed down to storage engine.
2. Add 2 new session variables `max_scan_key_num` and `doris_max_scan_key_num` which can set in session level and overwrite the config value in BE.
BinaryPredicte's equals function compare by opcode ,
but the opcode may not be inited yet.
so it will return true if this child is same, for example `a>1` and `a<1` are equal.
major work
1. Correct the value of ```numNodes``` and ```cardinality``` when ```OlapTableScan``` computeStats so that the ``` broadcast cost``` and ```paritition join cost ``` can be calculated correctly.
2. Find a input fragment with higher parallelism for shuffle fragment to assign backend
This is a simple refactor patch on class Reader without any functional changes.
Main refactor points:
- Remove some useless return value
- Use range loop
- Use empty() instead of size() for some STL containers size judgement
- Use in-class initialization instead of initialize in constructor function
- Some other small refactor
* Fix large string val allocation failure
Large bitmap will need use StringVal to allocate large memory, which is large than MAX_INT.
The overflow will cause serialization failure of bitmap.
Fixed#3600
Add spark etl job config, includes:
1. Schema of the load tables, including columns, partitions and rollups
2. Infos of the source file, including split rules, corresponding columns, and conversion rules
3. ETL output directory and file name format
4. Job properties
5. Version for further extension
* Serialize origin stmt in Rollup Job and MV Meta
In materialized view 2.0, the define expr is serialized in column.
The method is that doris serialzie the origin stmt of Create Materialzied View Stmt in RollupJobV2 and MVMeta.
The define expr will be extract from the origin stmt after meta is deserialized.
The define expr is necessary for bitmap and hll materialized view.
For example:
MV meta: __doris_mv_bitmap_k1, bitmap_union, to_bitmap(k1)
Origin stmt: select bitmap_union(to_bitmap(k1)) from table
Deserialize meta: __doris_mv_bitmap_k1, bitmap_union, null
After extract: the define expr `to_bitmap(k1)` from origin stmt should be extracted.
__doris_mv_bitmap_v1, bitmap_union, to_bitmap(k1) (which comes from the origin stmt)
Change-Id: Ic2da093188d8985f5e97be5bd094e5d60d82c9a7
* Add comment of read method
Change-Id: I4e1e0f4ad0f6e76cdc43e49938de768ec3b0a0e8
* Fix ut
Change-Id: I2be257d512bf541f00912a374a2e07a039fc42b4
* Change code style
Change-Id: I3ab23f5c94ae781167f498fefde2d96e42e05bf9
Current cumulative point calculate algorithm may skip singleton rowset when the rowset has only one segment and with NONOVERLAPPING flag. When a tablet is new created and cumulate many singleton rowsets, cumulative point will be calculated as the max version + 1, and then cumulative compaction couldn't pick any rowsets and compaction failed, and
will lead the next base compaction on this tablet with all rowsets, which can also cause memory consume problem, suppose there are thousands of rowsets.
All singleton rowsets must be newly wrote by delta writer and hasn't
do any compaction, we should place cumulative point before any of these rowsets.
Fixes#3706
DataSink uses instance and query MemTracker from RuntimeState, therefore it should be destructed before RuntimeState. Otherwise memory corruption and segfault could happen.
```
CREATE TABLE `query_detail` (
`query_id` varchar(100) NULL COMMENT "",
`start_time` datetime NULL COMMENT "",
`end_time` datetime NULL COMMENT "",
`latency` int(11) NULL COMMENT "unit is milliseconds",
`state` varchar(20) NULL COMMENT "RUNNING/FINISHED/FAILED",
`sql` varchar(1024) NULL COMMENT ""
)
DUPLICATE KEY(`query_id`)
SELECT COUNT(*) FROM query_detail WHERE start_time >= '2020-05-27 14:52:16' AND start_time < '2020-05-27 14:52:31';
```
The above query will core because of ZoneMap only in query_id.
Use start_time to match ZoneMap cause this core.
Problem is described in ISSUE #3678
This CL mainly changed to rule of creating dynamic partition.
1. If time unit is DAY, the logic remains unchanged.
2. If time unit is WEEK, the logical changes are as follows:
1. Allow to set the start day of every week, the default is Monday. Optional Monday to Sunday
2. Assuming that the starting day is a Tuesday, the range of the partition is Tuesday of the week to Monday of the next week.
3. If time unit is MONTH, the logical changes are as follows:
1. Allow to set the start date of each month. The default is 1st, and can be selected from 1st to 28th.
2. Assuming that the starting date is the 2nd, the range of the partition is from the 2nd of this month to the 1st of the next month.
4. The `SHOW DYNAMIC PARTITION TABLES` statement adds a `StartOf` column to show the start day of week or month.
It is recommended to refer to the example in `dynamic-partition.md` to understand.
TODO:
Better to support HOUR and YEAR time unit. Maybe in next PR.
FIX: #3678
Add a JSON format for existing metrics like this.
```
{
"tags":
{
"metric":"thread_pool",
"name":"thrift-server-pool",
"type":"active_thread_num"
},
"unit":"number",
"value":3
}
```
I add a new JsonMetricVisitor to handle the transformation.
It's not to modify existing PrometheusMetricVisitor and SimpleCoreMetricVisitor.
Also I add
1. A unit item to indicate the metric better
2. Cloning tablet statistics divided by database.
3. Use white space to replace newline in audit.log
Change the load label of audit plugin as:
`audit_yyyyMMdd_HHmmss_feIdentity`.
The `feIdentity` is got from the FE which run this plugin, currently just use FE's IP_editlog_port.
1. User interface:
1.1 Spark resource management
Spark is used as an external computing resource in Doris to do ETL work. In the future, there may be other external resources that will be used in Doris, for example, MapReduce is used for ETL, Spark/GPU is used for queries, HDFS/S3 is used for external storage. We introduced resource management to manage these external resources used by Doris.
```sql
-- create spark resource
CREATE EXTERNAL RESOURCE resource_name
PROPERTIES
(
type = spark,
spark_conf_key = spark_conf_value,
working_dir = path,
broker = broker_name,
broker.property_key = property_value
)
-- drop spark resource
DROP RESOURCE resource_name
-- show resources
SHOW RESOURCES
SHOW PROC "/resources"
-- privileges
GRANT USAGE_PRIV ON RESOURCE resource_name TO user_identity
GRANT USAGE_PRIV ON RESOURCE resource_name TO ROLE role_name
REVOKE USAGE_PRIV ON RESOURCE resource_name FROM user_identity
REVOKE USAGE_PRIV ON RESOURCE resource_name FROM ROLE role_name
```
- CREATE EXTERNAL RESOURCE:
FOR user_name is optional. If there has, the external resource belongs to this user. If not, the external resource belongs to the system and all users are available.
PROPERTIES：
1. type: resource type. Only support spark now.
2. spark configuration: follow the standard writing of Spark configurations, refer to: https://spark.apache.org/docs/latest/configuration.html.
3. working_dir: optional, used to store ETL intermediate results in spark ETL.
4. broker: optional, used in spark ETL. The ETL intermediate results need to be read with the broker when pushed into BE.
Example:
```sql
CREATE EXTERNAL RESOURCE "spark0"
PROPERTIES
(
"type" = "spark",
"spark.master" = "yarn",
"spark.submit.deployMode" = "cluster",
"spark.jars" = "xxx.jar,yyy.jar",
"spark.files" = "/tmp/aaa,/tmp/bbb",
"spark.yarn.queue" = "queue0",
"spark.executor.memory" = "1g",
"spark.hadoop.yarn.resourcemanager.address" = "127.0.0.1:9999",
"spark.hadoop.fs.defaultFS" = "hdfs://127.0.0.1:10000",
"working_dir" = "hdfs://127.0.0.1:10000/tmp/doris",
"broker" = "broker0",
"broker.username" = "user0",
"broker.password" = "password0"
)
```
- SHOW RESOURCES:
General users can only see their own resources.
Admin and root users can show all resources.
1.2 Create spark load job
```sql
LOAD LABEL db_name.label_name
(
DATA INFILE ("/tmp/file1") INTO TABLE table_name, ...
)
WITH RESOURCE resource_name
[(key1 = value1, ...)]
[PROPERTIES (key2 = value2, ... )]
```
Example:
```sql
LOAD LABEL example_db.test_label
(
DATA INFILE ("hdfs:/127.0.0.1:10000/tmp/file1") INTO TABLE example_table
)
WITH RESOURCE "spark0"
(
"spark.executor.memory" = "1g",
"spark.files" = "/tmp/aaa,/tmp/bbb"
)
PROPERTIES ("timeout" = "3600")
```
The spark configurations in load stmt can override the existing configuration in the resource for temporary use.
#3010
The segment v2 rollup job should set the storage format v2 and serialize it.
If it is not serialized, the rollup of segment v2 may use the error format 'segment v1'.
