Support merge IN predicate when exist remote target(e.g. shuffle hash join).
Remote the code that IN predicate implicit conversion to Bloom filter then exist remote target.
Close related #7546
1. replace all boost::shared_ptr to std::shared_ptr
2. replace all boost::scopted_ptr to std::unique_ptr
3. replace all boost::scoped_array to std::unique<T[]>
4. replace all boost:thread to std::thread
1. support in/bloomfilter/minmax
2. support broadcast/shuffle/bucket shuffle/colocate join
3. opt memory use and cpu cache miss while build runtime filter
4. opt memory use in left semi join (works well on tpcds-95)
```
SELECT *
FROM
(SELECT cs_order_number,
cs_warehouse_sk
FROM catalog_sales
WHERE cs_order_number = 125005
AND cs_warehouse_sk = 4) cs1
LEFT SEMI JOIN
(SELECT cs_order_number,
cs_warehouse_sk
FROM catalog_sales
WHERE cs_order_number = 125005) cs2
ON cs1.cs_order_number = cs2.cs_order_number
AND cs1.cs_warehouse_sk <> cs2.cs_warehouse_sk;
```
The above query has an equal predicate and a not equal predicate.
If there exists not equal preidcate, the build table should be remained
as it is. So the deduplication should be removed.
We make all MemTrackers shared, in order to show MemTracker real-time consumptions on the web.
As follows:
1. nearly all MemTracker raw ptr -> shared_ptr
2. Use CreateTracker() to create new MemTracker(in order to add itself to its parent)
3. RowBatch & MemPool still use raw ptrs of MemTracker, it's easy to ensure RowBatch & MemPool destructor exec
before MemTracker's destructor. So we don't change these code.
4. MemTracker can use RuntimeProfile's counter to calc consumption. So RuntimeProfile's counter need to be shared
too. We add a shared counter pool to store the shared counter, don't change other counters of RuntimeProfile.
Note that, this PR doesn't change the MemTracker tree structure. So there still have some orphan trackers, e.g. RowBlockV2's MemTracker. If you find some shared MemTrackers are little memory consumption & too time-consuming, you could make them be the orphan, then it's fine to use the raw ptr.
This CL mainly made the following modifications:
1. Delete Invalid MemoryUsed Counter and Add PeakMemUsage in each exec node and datastreamsender
2. Add intent in child execnode profile，make it is easily to know the relationship between execnode
3. Del _is_result_order we not support any more in olap_scan_node.h and olap_scan_node.cpp
4. Add scan_disk method to olap_scanner to fix the counter _num_disks_accessed_counter
5. Now we do not use buffer pool to read and write disk, so annotation eadio counter and
6. Delete the MemUsed counter in exec node.
improve performent of hash join when build table has to many duplicated rows, this will cause hash table collisions and slow down the probe performence.
In this pr when join type is semi join or anti join, we will build a hash table without duplicated rows.
benchmark:
dataset: tpcds dataset `store_sales` and `catalog_sales`
```
mysql> select count(*) from catalog_sales;
+----------+
| count(*) |
+----------+
| 14401261 |
+----------+
1 row in set (0.44 sec)
mysql> select count(distinct cs_bill_cdemo_sk) from catalog_sales;
+------------------------------------+
| count(DISTINCT `cs_bill_cdemo_sk`) |
+------------------------------------+
| 1085080 |
+------------------------------------+
1 row in set (2.46 sec)
mysql> select count(*) from store_sales;
+----------+
| count(*) |
+----------+
| 28800991 |
+----------+
1 row in set (0.84 sec)
mysql> select count(distinct ss_addr_sk) from store_sales;
+------------------------------+
| count(DISTINCT `ss_addr_sk`) |
+------------------------------+
| 249978 |
+------------------------------+
1 row in set (2.57 sec)
```
test querys:
query1: `select count(*) from (select store_sales.ss_addr_sk from store_sales left semi join catalog_sales on catalog_sales.cs_bill_cdemo_sk = store_sales.ss_addr_sk) a;`
query2: `select count(*) from (select catalog_sales.cs_bill_cdemo_sk from catalog_sales left semi join store_sales on catalog_sales.cs_bill_cdemo_sk = store_sales.ss_addr_sk) a;`
benchmark result:
||query1|query2|
|:--:|:--:|:--:|
|before|14.76 sec|3 min 16.52 sec|
|after|12.64 sec|10.34 sec|
Remove unused LLVM related codes of directory:be/src/exec (#2910)
there are many LLVM related codes in code base, but these codes are not really used.
The higher version of GCC is not compatible with the LLVM 3.4.2 version currently used by Doris.
The PR delete all LLVM related code of directory: be/src/exec.
* Change Null-safe equal operator from cross join to hash join
ISSUE-2136
This commit change the join method from cross join to hash join when the equal operator is Null-safe '<=>'.
It will improve the speed of query which has the Null-safe equal operator.
The finds_nulls field is used to save if there is Null-safe operator.
The finds_nulls[i] is true means that the i-th equal operator is Null-safe.
The equal function in hash table will return true, if both val and loc are NULL when finds_nulls[i] is true.
The new msg of limit exceed: "Memory exceed limit. %msg, Backend:%ip, fragment:%id Used:% , Limit:%. xxx".
This commit unifies the msg of 'Memory exceed limit' such as check_query_state, RETURN_IF_LIMIT_EXCEEDED and LIMIT_EXCEEDED.
* Reduce UT binary size
Almost every module depend on ExecEnv, and ExecEnv contains all
singleton, which make UT binary contains all object files.
This patch seperate ExecEnv's initial and destory to anthor file to
avoid other file's dependence. And status.cc include debug_util.h which
depend tuple.h tuple_row.h, and I move get_stack_trace() to
stack_util.cpp to reduce status.cc's dependence.
I add USE_RTTI=1 to build rocksdb to avoid linking librocksdb.a
Issue: #292
* Update
2. add 2 new proc '/current_queries' and '/current_backend_instances' to monitor the current running queries.
3. add a manual compaction api on Backend to trigger cumulative or base compaction manually.
4. add Frontend config 'max_bytes_per_broker_scanner' to limit to bytes per one broker scanner. This is to limit the memory cost of a single broker load job
5. add Frontend config 'max_unfinished_load_job' to limit load job number: if number of running load jobs exceed the limit, no more load job is allowed to be submmitted.
6. a log of bug fixed
1. rewrite metric module, add disk capacity metric
2. add Cluster load statistic proc to observer cluster load balance status
3. fix bug: show table status from db throw Nullpointer exception
4. performance: change push_down table size to 1024 in HashJoinNode
* modify modify the way of PartitionDesc analysis. fix set global variables bug
* add export job statitic proc
* merge from baidu/master
* change MASTER_CLIENT_TIMEOUT
* fix right outer join with null column
