jdbc read array type get result from Doris is string, PG is java.sql.array, CK is java.lang.object
it's difficult to maintain and read the code,
so change all database's array result to string, then add a cast function from string to doris array type
When full clone, if the max version of the local table is less than or equal to the max version of the clone table, there is no need to calculate the delete bitmap again.
For scan node with no vectorized predicate, the input column for the first short-circuit predicate is dense and we don't need to access the selector column.
This PR improve performance by ~30% on TPCH Q3.
We want to use file cache for caching cold data in S3.
When reading them, we want to know where the data come from and the time taken to read the datas.
So we support the metrics in olap scan node.
And for clearing the information, i also update the fields about the metrics.
Optimize q20, q21, q22, q23 LIKE_SUBSTRING (like '%xxxx%'). Idea is from clickhouse stringsearcher:
Stringsearcher is about 10%~20% faster than volnitsky algorithm when needle size is less than 10 using two chars at beginning search in SIMD .
Stringsearcher is faster than volnitsky algorithm, when needle size is less than 21.
The changes are as follows:
Using first two chars of needle at beginning search. We can compare two chars of needle and [n:n+17) chars in haystack in SIMD in one loop. Filter efficiency will be higher.
When env support SIMD, we use stringsearcher.
Test result in clickbench:
q20 is about 15% up.
q20: SELECT COUNT(*) FROM hits WHERE URL LIKE '%google%';
q21, q22 is about 1%~5% up.
q21: SELECT SearchPhrase, MIN(URL), COUNT(*) AS c FROM hits WHERE URL LIKE '%google%' AND SearchPhrase <> '' GROUP BY SearchPhrase ORDER BY c DESC LIMIT 10;
q22: SELECT SearchPhrase, MIN(URL), MIN(Title), COUNT(*) AS c, COUNT(DISTINCT UserID) FROM hits WHERE Title LIKE '%Google%' AND URL NOT LIKE '%.google.%' AND SearchPhrase <> '' GROUP BY SearchPhrase ORDER BY c DESC LIMIT 10;
q23 is about 30%~40% up and not stable.
q23: SELECT * FROM hits WHERE URL LIKE '%google%' ORDER BY EventTime LIMIT 10;
Add St_Angle/St_azimuth function：
St_Angle：
Enter three point, which represent two intersecting lines. Returns the angle between these lines. Point 2 and point 1 represent the first line and point 2 and point 3 represent the second line. The angle between these lines is in radians, in the range [0, 2pi). The angle is measured clockwise from the first line to the second line.
`
mysql> SELECT ST_Angle(ST_Point(1, 0),ST_Point(0, 0),ST_Point(0, 1));
+----------------------------------------------------------------------+
| st_angle(st_point(1.0, 0.0), st_point(0.0, 0.0), st_point(0.0, 1.0)) |
+----------------------------------------------------------------------+
| 4.71238898038469 |
+----------------------------------------------------------------------+
1 row in set (0.04 sec)
`
St_azimuth：
Enter two point, and returns the azimuth of the line segment formed by points 1 and 2. The azimuth is the angle in radians measured between the line from point 1 facing true North to the line segment from point 1 to point 2.
`
mysql> SELECT st_azimuth(ST_Point(0, 0),ST_Point(1, 0));
+----------------------------------------------------+
| st_azimuth(st_point(0.0, 0.0), st_point(1.0, 0.0)) |
+----------------------------------------------------+
| 1.5707963267948966 |
+----------------------------------------------------+
1 row in set (0.04 sec)
Result of functions grouping and grouping_id is always not nullable, but outer join will convert the result column to nullable when necessary, which will cause mismatch of column type and column object when executing unctions grouping and grouping_id.
The offset of _nullmap and _value are inconsistent in OlapDataConvertor, so the obtained null flag is incorrect when calling get_ data_ at function. When the key column or sequence column has null values, the encoding of the short key index or primary key index may be wrong.
This was introduced by #10883#10925.
1. Fix value idx in bool rle decoder
2. Iceberg table support datetimev2(3). In the previous version, we converted hive timestamp to datetimev2(0) default.
1. Introduce hadoop libhdfs
2. For Linux-X86 platform, use the hadoop libhdfs
3. For other platform, use libhdfs3, because currently we don't have hadoop libhdfs binary for other platform
Co-authored-by: adonis0147 <adonis0147@gmail.com>
rpc common is duplicate, all its method is included in function rpc. So that I remove it.
get_field_type is never used, remove it.
---------
Co-authored-by: yiguolei <yiguolei@gmail.com>
On macOS systems with Apple silicon, the '==' operator of StringRef uses string_compare, which takes StringRef as a C-String with null-terminated chars.
If BE is in heavy load, the query may failed, but BE will try to connect to FE using thrift, if FE is also in heavy load the thrift connection will failed. And the status is rewritten at line 342, and the actual failure reason for the query is lost. Should print the error status every time during update.
Co-authored-by: yiguolei <yiguolei@gmail.com>
In clickhouse's 4.x version of jdbc, some UInt types use special Java types, so I adapted Doris's ClickHouse JDBC External
```
com.clickhouse.data.value.UnsignedByte;
com.clickhouse.data.value.UnsignedInteger;
com.clickhouse.data.value.UnsignedLong;
com.clickhouse.data.value.UnsignedShort;
```
1. add PassNullPredicate to fix topn wrong result for NULL values
2. refactor RuntimePredicate to avoid using TCondition
3. refactor using ordering_exprs in fe and vsort_node
A framework that read data from jni scanner, which can support the data source from java ecosystem(java API).
## Java Interface
Java scanner should extends `org.apache.doris.jni.JniScanner`, implements the following methods:
```
// Initialize JniScanner
public abstract void open() throws IOException;
// Close JniScanner and release resources
public abstract void close() throws IOException;
// Scan data and save as vector table
public abstract int getNext() throws IOException;
```
See demo usage in `org.apache.doris.jni.MockJniScanner`
## c++ interface
C++ reader should use `doris::JniConnector` to get data from `org.apache.doris.jni.JniScanner`. See demo usage in `doris::MockJniReader`.
## Pushed-down predicates
Java scanner can get pushed-down predicates by `org.apache.doris.jni.vec.ScanPredicate`.
## Remaining works:
1. Implement complex nested types.
2. Read hudi MOR table as the end-to-end demo usage.
when loading big file with multi bytes line delimiter, some line record maybe incomplete because of _output_buf_limit, so this incomplete data will move to the beginning of the output buf and read more data into output buf. In this case, find line delimiter should start with no offset to avoid a bug that spilt two lines as one line.
Result is empty for query select * from person where address like '%\\\\%';, but MySQL can get a line of result.
CREATE TABLE `person` (
`id` int(11) NULL,
`name` text NULL,
`age` int(11) NULL,
`class` int(11) NULL,
`address` text NULL
) ENGINE=OLAP
UNIQUE KEY(`id`)
COMMENT 'OLAP'
DISTRIBUTED BY HASH(`id`) BUCKETS 1
PROPERTIES (
"replication_allocation" = "tag.location.default: 1",
"in_memory" = "false",
"storage_format" = "V2",
"disable_auto_compaction" = "false"
);
insert into person values (10001,'test1',30,2,'test\\\\,xxx');
Adding logs:
select * from person where address like '%\\\\%';
I0323 10:26:15.907760 2387043 like.cpp:558] arg str: %\\%, size: 4, pattern LIKE_ENDS_WITH_RE: (?:%+)(((\\%)|(\\_)|([^%_]))+), size: 30
I0323 10:26:15.907789 2387043 like.cpp:562] match 0: \\%, size: 3
I0323 10:26:15.907801 2387043 like.cpp:562] match 1: \%, size: 2
I0323 10:26:15.907811 2387043 like.cpp:562] match 2: \%, size: 2
I0323 10:26:15.907821 2387043 like.cpp:562] match 3: , size: 0
I0323 10:26:15.907830 2387043 like.cpp:562] match 4: \, size: 1
I0323 10:26:15.907842 2387043 like.cpp:615] search_string : \\%
I0323 10:26:15.907855 2387043 like.cpp:619] search_string escape removed: \%
It matchs against the LIKE_ENDS_WITH_RE which is wrong, the meaning of the sql should be: match strings that have one backslash in any place.
