pick (#36659)
pick #37015
In previous versions, we used druid as the default JDBC connection pool,
which can use custom decryption to parse the certificate when SQL Server
encryption is turned on. However, in the new version, after changing
HikariCP as the default connection pool, the SQLServer certificate
cannot be parsed, so encryption needs to be turned off for normal use.
Therefore, a parameter is added to decide whether to disable SQLServer
encryption. It is not disabled by default.
Previously, FE logs were written to files. The main FE logs include
fe.log, fe.warn.log, fe.audit.log, fe.out, and fe.gc.log.
In a K8s deployment environment, logs usually need to be output to
standard output, and then other components process the log stream.
This PR made the following changes:
1. Modified the log4j configuration template
- When started with `--daemon`, logs are still written to various files,
and the format remains unchanged.
- When started with `--console`, all logs are output to standard output
and marked with different prefixes:
- `StdoutLogger`: logs for standard output
- `StderrLogger`: logs for standard error output
- `RuntimeLogger`: logs for fe.log or fe.warn.log
- `AuditLogger:` logs for fe.audit.log
- No prefix: logs for fe.gc.log
Examples are as follows:
```
RuntimeLogger 2024-06-03 14:54:51,229 INFO (binlog-gcer|62)
[BinlogManager.gc():359] begin gc binlog
```
2. Added a new FE config: `enable_file_logger`
Defaults to true. Indicates that logs will be recorded to files
regardless of the startup method. For example, if it is started with
`--console`, the log will be output to both the file and the standard
output. If it is `false`, the log will not be recorded in the file
regardless of the startup method.
3. Optimized the log format of standard output
The byte streams of stdout and stderr are captured. The logs previously
outputted using `System.out` will be captured in fe.log for unified
management.
backport: #35690
`PropertyConverter.setS3FsAccess` has add customized s3 providers:
```
public static final List<String> AWS_CREDENTIALS_PROVIDERS = Arrays.asList(
DataLakeAWSCredentialsProvider.class.getName(),
TemporaryAWSCredentialsProvider.class.getName(),
SimpleAWSCredentialsProvider.class.getName(),
EnvironmentVariableCredentialsProvider.class.getName(),
IAMInstanceCredentialsProvider.class.getName());
```
And these providers are set as configuration value of
`fs.s3a.aws.credentials.provider`, which will be used as configuration
to build s3 reader in JNI readers. However,
`DataLakeAWSCredentialsProvider` is in `fe-core`, that is not dependent
by JNI readers, so we have to move s3 providers to `fe-common'.
fix simple auth check and default username
we should set simple auth to valid by default, and check whether to set
the default username in loginWithUGI
When `Export` statements are executed concurrently, the background uses
`Job schedule` to manage export tasks. Previously, the default value of
`async_task_consumer_thread_num` was 5, meaning that regardless of the
concurrency setting, a maximum of only 5 threads could execute
concurrently.
On the other hand, not only `Export` uses `Job schedule`, but other
scheduled tasks might also use `Job schedule`, leading to a shortage of
thread resources
Now, we have found that in many scenarios, `Export` needs to be set to a
high concurrency value and run concurrently according to that high
value. Clearly, `async_task_consumer_thread_num = 5` is no longer
sufficient, so we have changed the default value of
`async_task_consumer_thread_num` to 64
1. fix sql cache return old value when truncate partition
2. use expire_sql_cache_in_fe_second to control the expire time of the sql cache which in the NereidsSqlCacheManager
1. let AggStateType extends Type
2. remove useless interface isFixedLengthType and supportsTablePartitioning
3. let MapType implement interface isSupported
4. let VariantType extends ScalarType
The legacy planner encounters issues when handling filters such as: c1(boolean type)=0.0(decimalv3).
The literal 0.0 is interpreted as decimalv3(1,1), and the boolean type c1 is coerced to decimalv3(1,1).
decimalv3(1,1) can only retain values in the range [0,1), while the boolean true is represented as 1, exceeding the upper bound, thus causing an overflow problem.
This pull request addresses this issue by considering the boolean type as decimalv3(1,0), making both c1 and 0.0 being cast to decimal(2,1).
Co-authored-by: feiniaofeiafei <moailing@selectdb.com>
* [enhancement](Nereids) Enable parse sql from sql cache (#33262)
Before this pr, the query must pass through parser, analyzer, rewriter, optimizer and translator, then we can check whether this query can use sql cache, if the query is too long, or the number of join tables too big, the plan time usually >= 500ms.
This pr reduce this time by skip the fashion plan path, because we can reuse the previous physical plan and query result if no any changed. In some cases we should not parse sql from sql cache, e.g. table structure changed, data changed, user policies changed, privileges changed, contains non-deterministic functions, and user variables changed.
In my test case: query a view which has lots of join and union, and the tables has empty partition, the query latency is about 3ms. if not parse sql from sql cache, the plan time is about 550ms
## Features
1. use Config.sql_cache_manage_num to control how many sql cache be reused in on fe
2. if explain plan appear some plans contains `LogicalSqlCache` or `PhysicalSqlCache`, it means the query can use sql cache, like this:
```sql
mysql> set enable_sql_cache=true;
Query OK, 0 rows affected (0.00 sec)
mysql> explain physical plan select * from test.t;
+----------------------------------------------------------------------------------+
| Explain String(Nereids Planner) |
+----------------------------------------------------------------------------------+
| cost = 3.135 |
| PhysicalResultSink[53] ( outputExprs=[c1#0, c2#1] ) |
| +--PhysicalDistribute[50]@0 ( stats=3, distributionSpec=DistributionSpecGather ) |
| +--PhysicalOlapScan[t]@0 ( stats=3 ) |
+----------------------------------------------------------------------------------+
4 rows in set (0.02 sec)
mysql> select * from test.t;
+------+------+
| c1 | c2 |
+------+------+
| 1 | 2 |
| -2 | -2 |
| NULL | 30 |
+------+------+
3 rows in set (0.05 sec)
mysql> explain physical plan select * from test.t;
+-------------------------------------------------------------------------------------------+
| Explain String(Nereids Planner) |
+-------------------------------------------------------------------------------------------+
| cost = 0.0 |
| PhysicalSqlCache[2] ( queryId=78511f515cda466b-95385d892d6c68d0, backend=127.0.0.1:9050 ) |
| +--PhysicalResultSink[52] ( outputExprs=[c1#0, c2#1] ) |
| +--PhysicalDistribute[49]@0 ( stats=3, distributionSpec=DistributionSpecGather ) |
| +--PhysicalOlapScan[t]@0 ( stats=3 ) |
+-------------------------------------------------------------------------------------------+
5 rows in set (0.01 sec)
```
(cherry picked from commit 03bd2a337d4a56ea9c91673b3bd4ae518ed10f20)
* fix
* [fix](Nereids) fix some sql cache consistence bug between multiple frontends (#33722)
fix some sql cache consistence bug between multiple frontends which introduced by [enhancement](Nereids) Enable parse sql from sql cache #33262, fix by use row policy as the part of sql cache key.
support dynamic update the num of fe manage sql cache key
(cherry picked from commit 90abd76f71e73702e49794d375ace4f27f834a30)
* [fix](Nereids) fix bug of dry run query with sql cache (#33799)
1. dry run query should not use sql cache
2. fix test sql cache in cloud mode
3. enable cache OneRowRelation and EmptyRelation in frontend to skip parse sql
(cherry picked from commit dc80ecf7f33da7b8c04832dee88abd09f7db9ffe)
* remove cloud mode
* remove @NotNull
* [feature](backup) ignore table that not support type when backup, and not report exception
Signed-off-by: nextdreamblue <zxw520blue1@163.com>
* fix
Signed-off-by: nextdreamblue <zxw520blue1@163.com>
---------
Signed-off-by: nextdreamblue <zxw520blue1@163.com>
