#11740 , solved the problem that the query memory statistics are higher than the actual physical memory, because PODArray does not have memset 0 when allocating memory, and the query mem tracker is virtual memory.
But in extreme cases, such as csv load, PODArray frequent insert will cause performance problems. So revert part of #11740 and part of #12820.
The accuracy of the query mem tracker, there is currently no feedback, no further attention.
For Hive text input format: the column types ARRAY/MAP/STRUCT are not supported yet.
It will be supported over successive versions.
Co-authored-by: jinzhe <jinzhe@selectdb.com>
Problem:
1. FE will split the parquet file into split. So a file can have several splits.
2. BE will scan each split, read the footer of the parquet file.
3. If 2 splits belongs to a same parquet file, the footer of this file will be read twice.
This PR mainly changes:
1. Use kv cache to cache the footer of parquet file.
2. The kv cache is belong to a scan node, so all parquet reader belong to this scan node will share same kv cache.
3. In cache, the key is "meta_file_path", the value is parsed thrift footer.
The KV Cache is sharded into mutlti sub cache.
So that different file can use different sub cache, avoid blocking each other
In my test, a query with 26 splits can reduce the footer parse time from 4s -> 1s
If a colocate table's tablet is heathy. When a BE report a extra reaplica to FE, FE will not delete it.
But it should be deleted, otherwise it will report again and again but no one will handle it.
select * from T where A = 10.0
suppose A is int column
after stats derive on `cast(A as double) = 10.0`,
we set column stats for `cast(A as double)` on `A`
when Upgrade the version of jackson,k8s client will failed
java.lang.NoClassDefFoundError: org/yaml/snakeyaml/LoaderOptions
at com.fasterxml.jackson.dataformat.yaml.YAMLParser.(YAMLParser.java:191) ~[jackson-dataformat-yaml-2.14.2.jar:2.14.2]
at com.fasterxml.jackson.dataformat.yaml.YAMLFactory._createParser(YAMLFactory.java:509) ~[jackson-dataformat-yaml-2.14.2.jar:2.14.2]
at com.fasterxml.jackson.dataformat.yaml.YAMLFactory.createParser(YAMLFactory.java:413) ~[jackson-dataformat-yaml-2.14.2.jar:2.14.2]
at com.fasterxml.jackson.dataformat.yaml.YAMLFactory.createParser(YAMLFactory.java:386) ~[jackson-dataformat-yaml-2.14.2.jar:2.14.2]
at com.fasterxml.jackson.dataformat.yaml.YAMLFactory.createParser(YAMLFactory.java:15) ~[jackson-dataformat-yaml-2.14.2.jar:2.14.2]
at com.fasterxml.jackson.databind.ObjectMapper.readValue(ObjectMapper.java:3677) ~[jackson-databind-2.14.2.jar:2.14.2]
at com.fasterxml.jackson.databind.ObjectMapper.readValue(ObjectMapper.java:3645) ~[jackson-databind-2.14.2.jar:2.14.2]
at io.fabric8.kubernetes.client.internal.KubeConfigUtils.parseConfigFromString(KubeConfigUtils.java:47) ~[kubernetes-client-5.12.2.jar:?]
...
1. close (https://github.com/apache/doris/issues/16458) for nereids
2. varchar and string type should be treated as same type in bucket shuffle join scenario.
```
create table shuffle_join_t1 ( a varchar(10) not null )
create table shuffle_join_t2 ( a varchar(5) not null, b string not null, c char(3) not null )
```
the bellow 2 sqls can use bucket shuffle join
```
select * from shuffle_join_t1 t1 left join shuffle_join_t2 t2 on t1.a = t2.a;
select * from shuffle_join_t1 t1 left join shuffle_join_t2 t2 on t1.a = t2.b;
```
3. PushdownExpressionsInHashCondition should consider both hash and other conjuncts
4. visitPhysicalProject should handle MarkJoinSlotReference
1. add the global keyword.
SHOW [GLOBAL] [FULL] [BUILTIN] FUNCTIONS [IN|FROM db] [LIKE 'function_pattern']
SHOW CREATE GLOBAL FUNCTION function_name(arg_type [, ...]);
2. show the details of the global udf.
The information in the document is incomplete, user may be get error message like:
mysql> INSTALL PLUGIN FROM "http://127.0.0.1:8039/auditloader.zip";
ERROR 1105 (HY000): errCode = 2, detailMessage = http://127.0.0.1:8039/auditloader.zip.md5. you should set md5sum in plugin properties or provide a md5 URI to check plugin file
Fix function analysis repeat add child.
select list expression not produced by aggregation output (missing from GROUP BY clause?): if(length(`r_2_3`.`name`) % 32 = 0, aes_decrypt(unhex(`r_2_3`.`name`), '***'), `r_2_3`.`name`)
1. some bitmap functions like bitmap_or, bitmap_and_count, bitmap_or_count etc shouldn't follow constant fold rule for PropagateNullable functions. So remove PropagateNullable property and these functions would use their own constant fold logic correctly
2. dphyper's PlanReceiver class shouldn't change hyperGraph's complex project info. So make PlanReceiver use its own copy of complex project info now.
MTMV regression tests may loop forever due to some potential bugs. Therefore, we add a timeout to avoid endless loop. The value of the timeout is hard coded 30 minutes now.
When we use a hive client to submit a `INSERT INTO TBL SELECT * FROM ...` or `INSERT INTO TBL VALUES ...`
sql and the table is non-partitioned table, the hms will generate an insert event. The insert stmt may changed the
hdfs file distribution of this table, but currently we do not handle this, so the file cache of this table may be inaccurate.
the udaf case is unstable reason:
when enable_pipeline_engine=true, the case of agg function only 1 instance,
so not merge the default value, but if instance>1, will merge the default value
