Commit Graph

946 Commits

Author SHA1 Message Date
d6c64d305f [chore](log) Add log to trace query execution #25739 2023-10-26 14:09:25 +08:00
693982fd1a [feature](decimal) support decimal256 (#25386) 2023-10-25 15:47:51 +08:00
6b2eed779c [feature](AuditLog) add scanRows scanBytes in auditlog (#25435) 2023-10-25 10:00:35 +08:00
Pxl
2972daaed9 [Bug](status) process error status on es_scroll_parser and compaction_action (#25745)
process error status on es_scroll_parser and compaction_action
2023-10-24 15:51:01 +08:00
a4c9beba85 [fix](move-memtable) fallback if partial update (#25801) 2023-10-24 10:29:59 +08:00
0e0f8090f7 [refactor](text_convert)Use serde to replace text_convert. (#25543)
Remove text_convert and use serde to replace it.
2023-10-24 09:52:43 +08:00
b5ee4a9dbb [enhancement](profilev2) add some fields for profile v2 (#25611)
Add 3 counters for ExecNode:

ExecTime - Total execution time(excluding the execution time of children).
OutputBytes - The total number of bytes output to parent.
BlockCount - The total count of blocks output to parent.
2023-10-23 15:55:40 +08:00
Pxl
2e2d5bcba2 [Improvements](status) catch some error status (#25677)
catch some error status
2023-10-23 10:19:08 +08:00
Pxl
642c149e6a remove datetime_value and move vecdatetime_value to doris namespace (#25695)
remove datetime_value and move vecdatetime_value to doris namespace
2023-10-20 22:08:17 +08:00
2e97044706 [fix](move-memtable) fix inverted index condition (#25684) 2023-10-20 17:37:39 +08:00
d0cd535cb9 [improvement](insert) refactor group commit stream load (#25560) 2023-10-20 13:27:30 +08:00
159be51ea6 [bugfix](schema_change) Fix the coredump when doubly write during schema change (#22557) 2023-10-19 14:43:18 +08:00
11fecafb74 [fix](move-memtable) fallback if target table contains inverted index (#25498) 2023-10-18 22:11:59 +08:00
b0e0a0569a [Fix](row store) Real default value should be used instead of default… (#25230)
Before this PR the default value is not correct, we should use default value in Frontend schema.
2023-10-18 10:13:44 +08:00
b2e3ecb81d [opt](load)change load_to_single_tablet tablet search algorithm from random to round-robin (#25256)
At present, `load_to_singlt_tablet` import implementation refers to simple random number remainder, which cannot achieve true averaging. This will lead to uneven disk IO and uneven use of cluster resources. To solve this problem, we are preparing to implement round-robin for each partition tablet imported each time, in order to achieve average load to each tablet.

When generating the load query plan, the tablet index record currently imported is passed to BE.
Add a deamon task in FE to regularly clean up the `loadTabletRecordMap`. The map will get the bucket_number of the partition and update the `load_tablet_index` when `getCurrentLoadTabletIndex`.
2023-10-16 16:43:25 +08:00
2014e16cfb [fix](es catalog)fix es http timeout (#25273) 2023-10-12 10:21:55 +08:00
7e9ffad933 [fix](ES catalog)Doris cannot parse ES date field without time zone (#24864)
1. Add support for Doris to parse ES date field without time zone info. eg: `2023-04-17T23:01:18.151`, this time will be treated as UTC time, since ES assumes that the time zone for time fields without time zones is UTC.
2. Change local time zone convertion from system local time zone to session variable time zone.
2023-10-08 19:28:08 +08:00
0631ed61b0 [feature](profilev2) Preliminary support for profilev2. (#24881)
You can set the level of counters on the backend using ADD_COUNTER_WITH_LEVEL/ADD_TIMER_WITH_LEVEL. The profile can then merge counters with level 1.
set profile_level = 1;
such as
sql
select count(*) from customer join item on c_customer_sk = i_item_sk

profile

Simple  profile  
  
  PLAN  FRAGMENT  0
    OUTPUT  EXPRS:
        count(*)
    PARTITION:  UNPARTITIONED

    VRESULT  SINK
          MYSQL_PROTOCAL


    7:VAGGREGATE  (merge  finalize)
    |    output:  count(partial_count(*))[#44]
    |    group  by:  
    |    cardinality=1
    |    TotalTime:  avg  725.608us,  max  725.608us,  min  725.608us
    |    RowsReturned:  1
    |    
    6:VEXCHANGE
          offset:  0
          TotalTime:  avg  52.411us,  max  52.411us,  min  52.411us
          RowsReturned:  8

PLAN  FRAGMENT  1

    PARTITION:  HASH_PARTITIONED:  c_customer_sk

    STREAM  DATA  SINK
        EXCHANGE  ID:  06
        UNPARTITIONED

        TotalTime:  avg  106.263us,  max  118.38us,  min  81.403us
        BlocksSent:  8

    5:VAGGREGATE  (update  serialize)
    |    output:  partial_count(*)[#43]
    |    group  by:  
    |    cardinality=1
    |    TotalTime:  avg  679.296us,  max  739.395us,  min  554.904us
    |    BuildTime:  avg  33.198us,  max  48.387us,  min  28.880us
    |    ExecTime:  avg  27.633us,  max  40.278us,  min  24.537us
    |    RowsReturned:  8
    |    
    4:VHASH  JOIN
    |    join  op:  INNER  JOIN(PARTITIONED)[]
    |    equal  join  conjunct:  c_customer_sk  =  i_item_sk
    |    runtime  filters:  RF000[bloom]  <-  i_item_sk(18000/16384/1048576)
    |    cardinality=17,740
    |    vec  output  tuple  id:  3
    |    vIntermediate  tuple  ids:  2  
    |    hash  output  slot  ids:  22  
    |    RowsReturned:  18.0K  (18000)
    |    ProbeRows:  18.0K  (18000)
    |    ProbeTime:  avg  862.308us,  max  1.576ms,  min  666.28us
    |    BuildRows:  18.0K  (18000)
    |    BuildTime:  avg  3.8ms,  max  3.860ms,  min  2.317ms
    |    
    |----1:VEXCHANGE
    |              offset:  0
    |              TotalTime:  avg  48.822us,  max  67.459us,  min  30.380us
    |              RowsReturned:  18.0K  (18000)
    |        
    3:VEXCHANGE
          offset:  0
          TotalTime:  avg  33.162us,  max  39.480us,  min  28.854us
          RowsReturned:  18.0K  (18000)

PLAN  FRAGMENT  2

    PARTITION:  HASH_PARTITIONED:  c_customer_id

    STREAM  DATA  SINK
        EXCHANGE  ID:  03
        HASH_PARTITIONED:  c_customer_sk

        TotalTime:  avg  753.954us,  max  1.210ms,  min  499.470us
        BlocksSent:  64

    2:VOlapScanNode
          TABLE:  default_cluster:tpcds.customer(customer),  PREAGGREGATION:  ON
          runtime  filters:  RF000[bloom]  ->  c_customer_sk
          partitions=1/1,  tablets=12/12,  tabletList=1550745,1550747,1550749  ...
          cardinality=100000,  avgRowSize=0.0,  numNodes=1
          pushAggOp=NONE
          TotalTime:  avg  18.417us,  max  41.319us,  min  10.189us
          RowsReturned:  18.0K  (18000)
---------

Co-authored-by: yiguolei <676222867@qq.com>
2023-10-07 11:16:53 +08:00
642e5cdb69 [Fix](Status) Make Status [[nodiscard]] and handle returned Status correctly (#23395) 2023-09-29 22:38:52 +08:00
864a0f9bcb [opt](pipeline) Make pipeline fragment context send_report asynchronized (#23142) 2023-09-28 17:55:53 +08:00
3b4d8b4ac8 [pipelineX](feature) Support schema scan operator (#24850) 2023-09-25 14:42:25 +08:00
ac55d45f79 [Fix](topn opt) fix heap use after free when shrink in fetch phase (#24774) 2023-09-22 19:48:05 +08:00
09e03247ec [chore](readability) Better readability of ExecNode.cpp #24733 2023-09-22 08:54:57 +08:00
58ab25ccaa Revert "[Feature](merge-on-write)Support ignore mode for merge-on-write unique table (#21773)" (#24731)
This reverts commit 3ee89aea35726197cb7e94bb4f2c36bc9d50da84.
2023-09-21 21:01:28 +08:00
dc9fa1a4f1 [Refactor](Sink) convert to tablet sink to tablet writer (#24474) 2023-09-20 14:47:18 +08:00
b9ddcbf729 [feature](merge-cloud) Rewrite code related to IOContext (#24269) 2023-09-15 19:57:58 +08:00
3ee89aea35 [Feature](merge-on-write)Support ignore mode for merge-on-write unique table (#21773) 2023-09-14 18:03:51 +08:00
11afd321cb [fix](es catalog) fix issue with select and insert from es catalog core (#24318)
Issue Number: close #24315

The root cause of this issue is that Elasticsearch's long type allows inserting floats and strings. Doris did not handle these cases when doing type conversion. The current strategy is to take the integer before the decimal point if a float or string is found.
2023-09-13 23:07:31 +08:00
e30c3f3a65 [fix](csv_reader)fix bug that Read garbled files caused be crash. (#24164)
fix bug that read garbled files caused be crash.
2023-09-13 14:12:55 +08:00
d3f1388717 [Feature](partitions) Support auto-partition (#24153)
Co-authored-by: zhangstar333 <2561612514@qq.com>
2023-09-12 15:23:15 +08:00
82dc970916 [feature](insert) Support group commit insert (#22829) 2023-09-08 15:51:03 +08:00
fdb7a44f57 Revert "[Feature](partitions) Support auto partition" (#24024)
* Revert "[Feature](partitions) Support auto partition (#23236)"

This reverts commit 6c544dd2011d731b8c9c51384c77bcf19c017981.

* Update config.h
2023-09-07 17:08:26 +08:00
6c544dd201 [Feature](partitions) Support auto partition (#23236)
Co-authored-by: zhangstar333 <2561612514@qq.com>
2023-09-06 16:26:45 +08:00
c74ca15753 [pipeline](sink) Supprt Async Writer Sink of result file sink and memory scratch sink (#23589) 2023-08-31 22:44:25 +08:00
e680d42fe7 [feature](information_schema)add metadata_name_ids for quickly get catlogs,db,table and add profiling table in order to Compatible with mysql (#22702)
add information_schema.metadata_name_idsfor quickly get catlogs,db,table.

1. table  struct :   
```mysql
mysql> desc  internal.information_schema.metadata_name_ids;
+---------------+--------------+------+-------+---------+-------+
| Field         | Type         | Null | Key   | Default | Extra |
+---------------+--------------+------+-------+---------+-------+
| CATALOG_ID    | BIGINT       | Yes  | false | NULL    |       |
| CATALOG_NAME  | VARCHAR(512) | Yes  | false | NULL    |       |
| DATABASE_ID   | BIGINT       | Yes  | false | NULL    |       |
| DATABASE_NAME | VARCHAR(64)  | Yes  | false | NULL    |       |
| TABLE_ID      | BIGINT       | Yes  | false | NULL    |       |
| TABLE_NAME    | VARCHAR(64)  | Yes  | false | NULL    |       |
+---------------+--------------+------+-------+---------+-------+
6 rows in set (0.00 sec) 


mysql> select * from internal.information_schema.metadata_name_ids where CATALOG_NAME="hive1" limit 1 \G;
*************************** 1. row ***************************
   CATALOG_ID: 113008
 CATALOG_NAME: hive1
  DATABASE_ID: 113042
DATABASE_NAME: ssb1_parquet
     TABLE_ID: 114009
   TABLE_NAME: dates
1 row in set (0.07 sec)
```

2. when you create / drop catalog , need not refresh catalog . 
```mysql
mysql> select count(*) from internal.information_schema.metadata_name_ids\G; 
*************************** 1. row ***************************
count(*): 21301
1 row in set (0.34 sec)


mysql> drop catalog hive2;
Query OK, 0 rows affected (0.01 sec)

mysql> select count(*) from internal.information_schema.metadata_name_ids\G; 
*************************** 1. row ***************************
count(*): 10665
1 row in set (0.04 sec) 


mysql> create catalog hive3 ... 
mysql> select count(*) from internal.information_schema.metadata_name_ids\G;                                                                        
*************************** 1. row ***************************
count(*): 21301
1 row in set (0.32 sec)
```

3. create / drop table , need not refresh catalog .  
```mysql
mysql> CREATE TABLE IF NOT EXISTS demo.example_tbl ... ;


mysql> select count(*) from internal.information_schema.metadata_name_ids\G; 
*************************** 1. row ***************************
count(*): 10666
1 row in set (0.04 sec)

mysql> drop table demo.example_tbl;
Query OK, 0 rows affected (0.01 sec)

mysql> select count(*) from internal.information_schema.metadata_name_ids\G; 
*************************** 1. row ***************************
count(*): 10665
1 row in set (0.04 sec) 

```

4. you can set query time , prevent queries from taking too long . 
```

fe.conf :  query_metadata_name_ids_timeout 

the time used to obtain all tables in one database

```
5. add information_schema.profiling in order to Compatible with  mysql

```mysql
mysql> select * from information_schema.profiling;
Empty set (0.07 sec)

mysql> set profiling=1;                                                                                 
Query OK, 0 rows affected (0.01 sec)
```
2023-08-31 21:22:26 +08:00
62c075bf7e [improvement](Block) Replace Block(const PBlock&) with deserialize because it has heavy operations in ctor (#23672) 2023-08-31 14:44:17 +08:00
030df6db35 [fix](odbc) fix odbc insert string data to sqlserve (#23364) 2023-08-29 21:47:50 +08:00
Pxl
3049533e63 [Bug](materialized-view) fix core dump on create materialized view when diffrent mv column have same reference base column (#23425)
* Remove redundant predicates on scan node

update

fix core dump on create materialized view when diffrent mv column have same reference base column

Revert "update"

This reverts commit d9ef8dca123b281dc8f1c936ae5130267dff2964.

Revert "Remove redundant predicates on scan node"

This reverts commit f24931758163f59bfc47ee10509634ca97358676.

* update

* fix

* update

* update
2023-08-28 14:40:51 +08:00
40be6a0b05 [fix](hive) do not split compress data file and support lz4/snappy block codec (#23245)
1. do not split compress data file
Some data file in hive is compressed with gzip, deflate, etc.
These kinds of file can not be splitted.

2. Support lz4 block codec
for hive scan node, use lz4 block codec instead of lz4 frame codec

4. Support snappy block codec
For hadoop snappy

5. Optimize the `count(*)` query of csv file
For query like `select count(*) from tbl`, only need to split the line, no need to split the column.

Need to pick to branch-2.0 after this PR: #22304
2023-08-26 12:59:05 +08:00
2b6d876280 [feature](move-memtable)[6/7] add options to enable memtable on sink node (#23470)
Co-authored-by: Siyang Tang <82279870+TangSiyang2001@users.noreply.github.com>
2023-08-25 22:32:22 +08:00
9d1f2cd8e0 [Improvement](pipeline) Terminate early for short-circuit join (#23378) 2023-08-23 19:40:17 +08:00
527293aa41 [refactor](dynamic table) remove dynamic table (#23298) 2023-08-23 14:15:14 +08:00
Pxl
8ed4045df9 [Chore](primitive-type) remove VecPrimitiveTypeTraits (#22842) 2023-08-23 08:37:40 +08:00
5c2fae7ce5 [pipeline](exec) Refactor the table sink code in remove unless code (#23223)
Refactor the table sink code in remove unless code
2023-08-22 20:42:14 +08:00
12075f9853 [pipelineX](projection) Support projection and blocking agg (#23256) 2023-08-21 22:23:02 +08:00
3d4ec1ac88 [pipeline](exec) support async writer in jdbc sink in pipeline query engine (#23144)
support async writer in jdbc sink in pipeline query engine
2023-08-18 17:07:57 +08:00
61d2f37bdc [fix](jdbc catalog) fix string type insert into odbc table (#22961) 2023-08-15 20:09:38 +08:00
9b2323b7fd [Pipeline](exec) support async writer in pipelien query engine (#22901) 2023-08-15 17:32:53 +08:00
b49dc8042d [feature](load) refactor CSV reading process during scanning, and support enclose and escape for stream load (#22539)
## Proposed changes

Refactor thoughts: close #22383
Descriptions about `enclose` and `escape`: #22385

## Further comments

2023-08-09: 
It's a pity that experiment shows that the original way for parsing plain CSV is faster. Therefor, the refactor is only applied on enclose related code. The plain CSV parser use the original logic.

Fallback of performance is unavoidable anyway. From the `CSV reader`'s perspective, the real weak point may be the write column behavior, proved by the flame graph.
 
Trimming escape will be enable after fix: #22411 is merged

Cases should be discussed: 

1. When an incomplete enclose appears in the beginning of a large scale data, the line delimiter will be unreachable till the EOF, will the buffer become extremely large?
2. What if an infinite line occurs in the case? Essentially,  `1.` is equivalent to this.  

Only support stream load as trial in this PR, avoid too many unrelated changes. Docs will be added when `enclose` and `escape` is available for all kinds of load.
2023-08-15 09:23:53 +08:00
a1223218f3 [pipeline](exec) Support shared scan in jdbc and odbc scan node (#22826)
Support shared scan in jdbc and odbc scan node to improve exec performance
2023-08-10 18:34:45 +08:00