ECB algorithm, block_encryption_mode does not take effect, it only takes effect when init vector is provided.
Solved: 192/256 supports calculation without init vector
For other algorithms, an error should be reported when there is no init vector
Initialization Vector. The default value for the block_encryption_mode system variable is aes-128-ecb, or ECB mode, which does not require an initialization vector. The alternative permitted block encryption modes CBC, CFB1, CFB8, CFB128, and OFB all require an initialization vector.
Reference: https://dev.mysql.com/doc/refman/8.0/en/encryption-functions.html#function_aes-decrypt
Note: This fix does not support smooth upgrades. during upgrade process, query may report error: funciton not found
* A in(B) -> bitmap_contains(bitmap_union(B), A)
support bitmap runtime filter on nereids
* GroupPlan -> Plan
* fmt
* fix target cast problem
remove test code
The _src_block_mem_reuse variable actually not work, since the _src_block is cleared each time when we call get_block.
But current code may cause core dump, see issue #17587. Because we insert some result column generated by expr into dest block, and such a column holds a pointer to some column in original schema. When clearing the data of _src_block, some column's data in dest block is also cleared.
e.g. coalesce will return a result column which holds a pointer to some original column, see issue #17588
Function esquery does not work because there is a problem parsing the first parameter type.
The first parameter, which is SlotRef, will be cast to CastExpr. This will cause error while generating ES DSL.
Add more types to adapt esquery function.
Describe your changes.
In the past, pg catalog use sql SELECT schema_name FROM information_schema.schemata where schema_owner='<UserName>'; to select schemas of an user. Howerver, this sql can not find all schemas that a user can access, that because:
A user may not be the owner of an schema, but may have read permission on the schema.
A user may inherit the permissions of its user group and thus have read permissions on one schema.
For these reasons, we replace the sql statement with select nspname from pg_namespace where has_schema_privilege('<UserName>', nspname, 'USAGE');
Result of select bitmap_to_string(bitmap_or(to_bitmap(1), null)) should be 1 instead of null.
This PR fix logic of bitmap_or and bitmap_or_count.
Other count related funcitons should also be checked and fix, they will be fixed in another PR.
Collect each estimated output rows and exact output rows for each plan node, and use this to measure the accuracy of derived statistics. The estimated result is managed by ProfileManager. We would get this estimated result in the http request by query id later.
* Upgrade log4j to 2.X
- binding log4j version to 2.18.0
- used log4j-1.2-api complete smooth upgrade
* Upgrade filerupload to 1.5
* Upgrade commons-io to 2.7
* Upgrade commons-compress to 1.22
* Upgrade gson to 2.8.9
* Upgrade guava to 30.0-jre
* Binding jackson version to 2.14.2
* Upgrade netty-all to 4.1.89.final
* Upgrade protobuf to 3.21.12
* Upgrade kafka-clints to 3.4.0
* Upgrade calcite version to 1.33.0
* Upgrade aws-java-sdk to 1.12.302
* Upgrade hadoop to 3.3.4
* Upgrade zookeeper to 3.4.14
* Binding tomcat-embed-core to 8.5.86
* Upgrade apache parent pom to 25
* Use hive-exec-core as a hive dependency, add the missing jar-hive-serde separately
* Basic public dependencies are extracted to parent dependencies
* Use jackson uniformly as the basic json tool
* Remove springloaded, spring-boot-devtools has the same functionality
* Modify the spark-related dependency scope to provide, which should be provided at runtime
# Proposed changes
1.The new optimizer supports the combination of subquery and disjunction.In the way of MarkJoin, it behaves the same as the old optimizer. For design details see:https://emmymiao87.github.io/jekyll/update/2021/07/25/Mark-Join.html.
2.Implicit type conversion is performed when conjects are generated after subquery parsing
3.Convert the unnesting of scalarSubquery in filter from filter+join to join + Conjuncts.
Fix MacOS mem_limit parse result is 0.
Fix GC after env Init, otherwise, when the memory is insufficient, BE will start failure.
*** Query id: 0-0 ***
*** Aborted at 1677833773 (unix time) try "date -d @1677833773" if you are using GNU date ***
*** Current BE git commitID: 8ee5f45 ***
*** SIGSEGV address not mapped to object (@0x70) received by PID 24145 (TID 0x7fa53c9fd700) from PID 112; stack trace: ***
0# doris::signal::(anonymous namespace)::FailureSignalHandler(int, siginfo_t*, void*) at be/src/common/signal_handler.h:420
1# os::Linux::chained_handler(int, siginfo*, void*) in /usr/local/jdk/jre/lib/amd64/server/libjvm.so
2# JVM_handle_linux_signal in /usr/local/jdk/jre/lib/amd64/server/libjvm.so
3# signalHandler(int, siginfo*, void*) in /usr/local/jdk/jre/lib/amd64/server/libjvm.so
4# 0x00007FA56295A400 in /lib64/libc.so.6
5# doris::MemTrackerLimiter::log_process_usage_str(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, bool) at be/src/runtime/memory/mem_tracker_limiter.cpp:208
6# doris::MemTrackerLimiter::print_log_process_usage(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, bool) at be/src/runtime/memory/mem_tracker_limiter.cpp:226
7# doris::Daemon::memory_maintenance_thread() at be/src/common/daemon.cpp:245
8# doris::Thread::supervise_thread(void*) at be/src/util/thread.cpp:455
9# start_thread in /lib64/libpthread.so.0
10# clone in /lib64/libc.so.6
1. change PipelineTaskState to enum class
2. remove some row-based code on FoldConstantExecutor::_get_result
3. reduce memcpy on minmax runtime filter function(Now we can guarantee that the input data is aligned)
4. add Wunused-template check, and remove some unused function, change some static function to inline function.
A new way just like c++ template is proposed in this PR. The previous functions can be defined much simpler using template function.
# map element extract template function
[['element_at', '%element_extract%'], 'E', ['ARRAY<E>', 'BIGINT'], 'ALWAYS_NULLABLE', ['E']],
# map element extract template function
[['element_at', '%element_extract%'], 'V', ['MAP<K, V>', 'K'], 'ALWAYS_NULLABLE', ['K', 'V']],
BTW, the plain type function is not affected and the legacy ARRAY_X MAP_K_V is still supported for compatability.
the max_pushdown_conditions_per_column limit, the column will not perform predicate pushdown, but if there are subsequent columns that need to be pushed down, the subsequent column pushdown will be misplaced in _scan_keys and it causes query results to be wrong
Co-authored-by: tongyang.hty <hantongyang@douyu.tv>
fix two problems:
1. push agg-fun in windowExpression down to AggregateNode
for example, sql:
select sum(sum(a)) over (order by b)
Plan:
windowExpression( sum(y) over (order by b))
+--- Agg(sum(a) as y, b)
2. push other expr to upper proj
for example, sql:
select sum(a+1) over ()
Plan:
windowExpression(sum(y) over ())
+--- Project(a + 1 as y,...)
+--- Agg(a,...)
We have supportted array type default [], but when using lightweight schema Change to add column array type, query failed as follows:
Fix "array default type is unsupported" error.
Fix the default value filling assignment digit problem.
add all of the valid binary arithmetic expressions test for nereids.
currently, float, double, stringlike(string, char, varchar) doesn't support div, bitand, bitor, bitxor.
some results with float type are incorrect because of inaccurate precision of regression-test framework.
