Increase compatibility with mysql
1. Added two system tables files and partitions
2. Improved the return logic of mysql error code to make the error code more compatible with mysql
3. Added lock/unlock tables statement and show columns statement for compatibility with mysql dump
4. Compatible with mysqldump tool, now you can use mysql dump to dump data and table structure from doris
now use mysqldump may print error message like
```
$ mysqldump -h127.0.0.1 -P9130 -uroot test_query_qa > a
mysqldump: Error: 'errCode = 2, detailMessage = select list expression not produced by aggregation output (missing from GROUP BY clause?): `EXTRA`' when trying to dump tablespaces
```
This error message not effect the export file, you can add `--no-tablespaces` to avoid this error
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
Fix: #3946
CL:
1. Add prepare phase for `from_unixtime()`, `date_format()` and `convert_tz()` functions, to handle the format string once for all.
2. Find the cctz timezone when init `runtime state`, so that don't need to find timezone for each rows.
3. Add constant rewrite rule for `utc_timestamp()`
4. Add doc for `to_date()`
5. Comment out the `push_handler_test`, it can not run in DEBUG mode, will be fixed later.
6. Remove `timezone_db.h/cpp` and add `timezone_utils.h/cpp`
The performance shows bellow:
11,000,000 rows
SQL1: `select count(from_unixtime(k1)) from tbl1;`
Before: 8.85s
After: 2.85s
SQL2: `select count(from_unixtime(k1, '%Y-%m-%d %H:%i:%s')) from tbl1 limit 1;`
Before: 10.73s
After: 4.85s
The date string format seems still slow, we may need a further enhancement about it.
**Authorization checking logic**
There are some problems with the current password and permission checking logic. For example:
First, we create a user by:
`create user cmy@"%" identified by "12345";`
And then 'cmy' can login with password '12345' from any hosts.
Second, we create another user by:
`create user cmy@"192.168.%" identified by "abcde";`
Because "192.168.%" has a higher priority in the permission table than "%". So when "cmy" try
to login in by password "12345" from host "192.168.1.1", it should match the second permission
entry, and will be rejected because of invalid password.
But in current implementation, Doris will continue to check password on first entry, than let it pass. So we should change it.
**Permission checking logic**
After a user login, it should has a unique identity which is got from permission table. For example,
when "cmy" from host "192.168.1.1" login, it's identity should be `cmy@"192.168.%"`. And Doris
should use this identity to check other permission, not by using the user's real identity, which is
`cmy@"192.168.1.1"`.
**Black list**
Functionally speaking, Doris only support adding WHITE LIST, which is to allow user to login from
those hosts in the white list. But is some cases, we do need a BLACK LIST function.
Fortunately, by changing the logic described above, we can simulate the effect of the BLACK LIST.
For example, First we add a user by:
`create user cmy@'%' identified by '12345';`
And now user 'cmy' can login from any hosts. and if we don't want 'cmy' to login from host A, we
can add a new user by:
`create user cmy@'A' identified by 'other_passwd';`
Because "A" has a higher priority in the permission table than "%". If 'cmy' try to login from A using password '12345', it will be rejected.
NOTE: This patch would modify all Backend's data.
And this will cause a very long time to restart be.
So if you want to interferer your product environment,
you should upgrade backend one by one.
1. Refactoring be is to clarify the structure the codes.
2. Use unique id to indicate a rowset.
Nameing rowset with tablet_id and version will lead to
many conflicts among compaction, clone, restore.
3. Extract an rowset interface to encapsulate rowsets
with different format.
1. Apache HDFS broker support HDFS HA and Hadoop kerberos authentication.
2. New Backup and Restore function. Use Fs Broker to backup your data to HDFS or restore them from HDFS.
3. Table-Level Privileges. Grant fine-grained privileges on table-level to specified user.
4. A lot of bugs fixed.
5. Performance improvement.
