**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.
Some use has the requirment that only some of columns will be update in
one load operation, and others will retain as original. However, Doris
can't handle this situation, because user must specify value for all
columns. Then if a column aggregation method is REPLACE, use must query
original value to overwrite it. This often needs some work for user to
do.
If this CL is applied, user can use REPLACE_IF_NOT_NULL instead of
REPLACE. Then when load data to table, if user don't intent to change
value of this column, user can specify NULL for this column. Doris will
retain original value for this column.
Add a new type: Object. Currently, it's mainly for complex aggregate metrics(HLL , Bitmap).
The Object type has the following constraints：
1 Object type could not as key column type
2 Object type doesn't support all indices (BloomFilter, short key, zone map, invert index)
3 Object type doesn't support filter and group by
In the implementation：
The Object type reuse the StringValue and StringVal, because in storage engine, the Object type is binary, it has a pointer and length.
The prepare/close step of scalar function is already supported in execution framework, We only need to do is that support it in syntax and meta in frontend.
In addition, 'Hive' binary type of scalar function NOT supports prepare/close step, we need to make it supports.
Random distribution is no longer supported since version 0.9.
And we need a way to convert the random distribution to hash distribution.
ALTER TABLE db.tbl SET ("distribution_type" = "hash");
1. Support specifying label to Insert Into stmt.
INSERT INTO tbl1 WITH LABEL label1 ...;
2. Return job' state corresponding to the existing label in result of stream load.
...
"Status": "Label Already Exists",
"ExistingJobStatus": "FINISHED"
...
3. Return the recent 2000 transactions in SHOW PROC '/transactions'
Currently, we do not support parsing encoded/compressed columns in file path, eg: extract column k1 from file path /path/to/dir/k1=1/xxx.csv
This patch is able to parse columns from file path like in Spark(Partition Discovery).
This patch parse partition columns at BrokerScanNode.java and save parsing result of each file path as a property of TBrokerRangeDesc, then the broker reader of BE can read the value of specified partition column.
