DESCRIPTION: Drops PG14 support
1. Remove "$version_num" != 'xx' from configure file
2. delete all PG_VERSION_NUM = PG_VERSION_XX references in the code
3. Look at pg_version_compat.h file, remove all _compat functions etc
defined specifically for PGXX differences
4. delete all PG_VERSION_NUM >= PG_VERSION_(XX+1), PG_VERSION_NUM <
PG_VERSION_(XX+1) ifs in the codebase
5. delete ruleutils_xx.c file
6. cleanup normalize.sed file from pg14 specific lines
7. delete all alternative output files for that particular PG version,
server_version_ge variable helps here
Tradionally our planner works in the following order:
router - > pushdown -> repartition -> pull to coordinator
However, for INSERT .. SELECT commands, we did not support "router".
In practice, that is not a big issue, because pushdown planning can
handle router case as well.
However, with PG 16, certain outer joins are converted to JOIN without
any conditions (e.g., JOIN .. ON (true)) and the filters are pushed down
to the tables.
When the filters are pushed down to the tables, router planner can
detect. However, pushdown planner relies on JOIN conditions.
An example query:
```
INSERT INTO agg_events (user_id)
SELECT raw_events_first.user_id
FROM raw_events_first LEFT JOIN raw_events_second
ON raw_events_first.user_id = raw_events_second.user_id
WHERE raw_events_first.user_id = 10;
```
As a side effect of this change, now we can also relax certain
limitation that "pushdown" planner emposes, but not "router". So, with
this PR, we also allow those.
Closes https://github.com/citusdata/citus/pull/6772
DESCRIPTION: Prevents unnecessarily pulling the data into coordinator
for some INSERT .. SELECT queries that target a single-shard group
Previously INSERT .. SELECT planner were pushing down some queries that should not be pushed down due to wrong colocation checks. It was checking whether one of the table in SELECT part and target table are colocated. But now, we check colocation for all tables in SELECT part and the target table.
Another problem with INSERT .. SELECT planner was that some queries, which is valid to be pushed down, were not pushed down due to unnecessary checks which are currently supported. e.g. UNION check. As solution, we reused the pushdown planner checks for INSERT .. SELECT planner.
DESCRIPTION: Fixes a bug that causes incorrectly pushing down some
INSERT .. SELECT queries that we shouldn't
DESCRIPTION: Prevents unnecessarily pulling the data into coordinator
for some INSERT .. SELECT queries
DESCRIPTION: Drops support for pushing down INSERT .. SELECT with append
table as target
Fixes#6749.
Fixes#1428.
Fixes#6920.
---------
Co-authored-by: aykutbozkurt <aykut.bozkurt1995@gmail.com>
* Adjust configure script to allow PG15
* Adds copy of ruleutils_14.c as ruleutils_15.c
* Uses get_namespace_name_or_temp in ruleutils_15.c
Relevant PG commit:
48c5c9068211e0a04fd9553c8714b2821ed3ad17
* Clean up code using "(expr) ? true : false" in ruleutils_15.c
Relevant PG commit:
fd0625c7a9c679c0c1e896014b8f49a489c3a245
* Change varno from Index (unsigned int) to int in ruleutils_15.c
Relevant PG commit:
e3ec3c00d85bd2844ffddee83df2bd67c4f8297f
* Adds find_recursive_union to ruleutils_15.c
Relevant PG commit:
3f50b82639637c9908afa2087de7588450aa866b
* Fix display of SQL-std func's args in INSERT/SELECT in ruleutils_15.c
Relevant PG commit:
a8d8445a7b2f80f6d0bfe97b19f90bd2cbef8759
* Fix ruleutils_15.c's dumping of whole-row Vars in more contexts
Relevant PG commit:
43c2175121c829c8591fc5117b725f1f22bfb670
* Fix assorted missing logic for GroupingFunc nodes in ruleutils_15.c
Relevant PG commit:
2591ee8ec44d8cbc8e1226550337a64c684746e4
* Adds grammar support for SQL/JSON clauses in ruleutils_15.c
Relevant PG commit:
f79b803dcc98d707450e158db3638dc67ff8380b
* Adds SQL/JSON constructors to ruleutils_15.c
Relevant PG commits:
f4fb45d15c59d7add2e1b81a9d477d0119a9691a
cc7401d5ca498a84d9b47fd2e01cebd8e830e558
* Adds support for MERGE in ruleutils_15.c
Relevant PG commit:
7103ebb7aae8ab8076b7e85f335ceb8fe799097c
* Add IS JSON predicate to ruleutils_15.c
Relevant PG commit:
33a377608fc29cdd1f6b63be561eab0aee5c81f0
* Add SQL/JSON query functions to ruleutils_15.c
Relevant PG commit:
1a36bc9dba8eae90963a586d37b6457b32b2fed4
* Adds three different SQL/JSON values to ruleutils_15.c
Relevant PG commits:
606948b058dc16bce494270eea577011a602810e
49082c2cc3d8167cca70cfe697afb064710828ca
* Adds JSON table functions in ruleutils_15.c
Relevant PG commit:
4e34747c88a03ede6e9d731727815e37273d4bc9
* Add PLAN function for JSON table in ruleutils_15.c
Relevant PG commit:
fadb48b00e02ccfd152baa80942de30205ab3c4f
* Remove extra blank lines before block-closing braces ruleutils_15.c
Relevant PG commit:
24d2b2680a8d0e01b30ce8a41c4eb3b47aca5031
* set_deparse_plan: Reuse variable to appease Coverity ruleutils_15.c
Relevant PG commit:
e70813fbc4aaca35ec012d5a426706bd54e4acab
* Mechanical code beautification ruleutils_15.c
Relevant PG commit:
23e7b38bfe396f919fdb66057174d29e17086418
* Rename value_type to item_type in ruleutils_15.c
Relevant PG commit:
3ab9a63cb638a1fd99475668e2da9c237495aeda
* Show 'AS "?column?"' explicitly when it's important in ruleutils_15.c
Relevant PG commit:
c7461fc25558832dd347a9c8150b0f1ed85e36e8
* Fix ruleutils_15.c issues with dropped cols in funcs-returning-composite
Relevant PG commit:
c1d1e8469c77ce6b8e5310955580b4a3eee7fe96
* Change comment regarding functions returning composite in ruleutils_15.c
Relevant PG commit:
c2fa113ddb1117b1f03e91960f65d5d7d8a90270
* Replace int nodes with bool nodes where needed
In PG15, Boolean nodes are added. Pre PG15, internal Boolean values
in Create Role commands were represented by Integer nodes. This
commit replaces int nodes logic with bool nodes logic where needed.
Mostly there are CREATE ROLE logic changes.
Relevant PG commit:
941460fcf731a32e6a90691508d5cfa3d1f8eeaf
* Handle new option colliculocale in CREATE COLLATION logic
In PG15, there is an added option to use ICU as global locale provider.
pg_collation has three locale-related fields: collcollate and collctype,
which are libc-related fields, and a new one colliculocale, which is the
ICU-related field. Only the libc-related fields or the ICU-related field
is set, never both.
Relevant PG commits:
f2553d43060edb210b36c63187d52a632448e1d2
54637508f87bd5f07fb9406bac6b08240283be3b
* Add PG15 tests to CI using test images that have 15beta2 (#6093)
* Change warning message in pg_signal_backend()
Relevant PG commit:
7fa945b857cc1b2964799411f1633468826861ff
* Revert "Add missing ifdef for PG 15"
This reverts commit c7b51025ab.
* Fixes tests for ALTER TRIGGER RENAME consistency for part. tables
Relevant PG commit:
80ba4bb383538a2ee846fece6a7b8da9518b6866
* Prevent creating child triggers on partitions when adding new node
Pre PG15, tgisinternal is true for a "child" trigger on a partition
cloned from the trigger on the parent.
In PG15, tgisinternal is false in that case. However, we don't want to
create this trigger on the partition since it will create a conflict
when we try to attach the partition to the parent table:
ERROR: trigger "..." for relation "{partition_name}" already exists
Relevant PG commit:
f4566345cf40b068368cb5617e61318da60676ec
* Fix tests for generated columns dependency changes
In PG15, For GENERATED columns, all dependencies of the generation
expression are recorded as NORMAL dependencies of the column itself.
This requires CASCADE to drop generated cols with the original col.
PRE PG15, dependencies were recorded as AUTO, with which
generated columns are silently dropped with the original column.
Relevant PG commit:
cb02fcb4c95bae08adaca1202c2081cfc81a28b5
* Explicitly cast catalog "char" column to text before concatenation
Relevant PG commit:
07eee5a0dc642d26f44d65c4e6263304208e8583
* Remove 'AS "?column?"' from test outputs
There were some instances in the following tst outputs
in planning debug outputs where AS "?column?" is added.
We add a normalization rule to remove it as it is not
important.
cte_inline.out
recursive_relation_planning_restriction_pushdown.out
Relevant PG commit:
c7461fc25558832dd347a9c8150b0f1ed85e36e8
* Use pg_backup_stop(PG15) instead of pg_stop_backup(PG<15)
Add an alternative test output because of the change in the
backup modes of Postgres. Specifically here, there is a renaming
issue: pg_stop_backup PRE PG15 vs pg_backup_stop PG15+
The alternative output can be deleted when we drop support for PG14
Relevant PG commit:
39969e2a1e4d7f5a37f3ef37d53bbfe171e7d77a
* Adds citus.mitmfifo GUC
Previously we setting this configuration parameter
in the fly for failure tests schedule.
However, PG15 doesn't allow that anymore: reserved prefixes
like "citus" cannot be used to set non-existing GUCs.
Relevant PG commit:
88103567cb8fa5be46dc9fac3e3b8774951a2be7
* Handles EXPLAIN output diffs in PG15 - Extra result lines
To handle extra "Result" lines in explain outputs, we add explain
method to multi_test_helpers.sql file
- plan_without_result_lines() is added for cases where we want the
whole explain output with only "Result" lines removed
* Handles EXPLAIN output diffs in PG15, Hash Agg/Join leverage
To handle differences in usage of GroupAggregate vs HashAggregate
or Merge Join vs Hash join in cases where this detail doesn't
seem to matter, we use coordinator_plan().
- coordinator_plan() is updated to remove "Result" lines
There are some cases where we have subplans so we add a new
function that prints all Task Count lines as well
- coordinator_plan_with_subplans()
Still not sure of the relevant PG commit
Could be db0d67db2401eb6238ccc04c6407a4fd4f985832
but disabling enable_group_by_reordering didn't help.
* Handles EXPLAIN output diffs in PG15: enable_group_by_reordering
Relevant PG commit
db0d67db2401eb6238ccc04c6407a4fd4f985832
* Normalizes Memory Usage, Buckets, Batches for PG15 explain diffs
We create a new function in multi_test_helpers, which is similar
to explain_merge function in PG15. This explain helper function
normalies Memory Usage, Buckets and Batches, and we use it in the
tests which give a different output for PG15.
* Bump test images to 15beta3 (#6172)
* Omit namespace in post-copy errmsg
Relevant PG commit:
069d33d0c5a021601245e44df77a0423ddd69359
* Handles EXPLAIN output diffs in PG15: extra arrows&result lines
To handle extra "->" arrows resulting from extra Result lines
in explain outputs, we add the following explain method to
multi_test_helpers.sql file
- plan_without_arrows() is added for cases where we want the
whole explain output without arrows and without Result lines
* Alters public schema's owner to pg_database_owner in PG15
In PG15, public schema is owned by pg_database_owner role.
In multi_extension, we drop and recreate the ppublic schema,
hence its owner become the default user in our tests, postgres.
Change that to pg_database_owner for PG15 consistency.
This results in alternative test output for public schema grants
in the following test:
grant_on_schema_propagation.sql
Relevant PG commit: b073c3ccd06e4cb845e121387a43faa8c68a7b62
* Add alternative test outputs for change in Insert Select display
citus_local_tables_queries.sql
coordinator_shouldhaveshards.sql
cte_inline.sql
insert_select_repartition.sql
intermediate_result_pruning.sql
local_shard_execution.sql
local_shard_execution_replicated.sql
multi_deparse_shard_query.sql
multi_insert_select.sql
multi_insert_select_conflict.sql
multi_mx_insert_select_repartition.sql
mx_coordinator_shouldhaveshards.sql
single_node.sql
Relevant PG commit:
a8d8445a7b2f80f6d0bfe97b19f90bd2cbef8759
* Fixes columnar tap tests for PG15
In PG15, Perl test modules have been moved to a new namespace.
Also, postgres node new() and get_new_node() methods have been
unified to one method: new()
We create separate tap tests for PG13/14 and PG15+
and update the Makefiles accordingly.
Relevant PG commits:
201a76183e2056c2217129e12d68c25ec9c559c8
b3b4d8e68ae83f432f43f035c7eb481ef93e1583
* Handles EXPLAIN output diffs in PG15: HashAgg Leverage,alt. output
Still not sure of the relevant PG commit
Could be db0d67db2401eb6238ccc04c6407a4fd4f985832
but disabling enable_group_by_reordering didn't help.
CREATE FUNCTION command together with it's dependencies.
If the function depends on any nondistributable object,
function will be created only locally. Parameterless
version of create_distributed_function becomes obsolete
with this change, it will deprecated from the code with a subsequent PR.
With this commit, fix_partition_shard_index_names()
works significantly faster.
For example,
32 shards, 365 partitions, 5 indexes drop from ~120 seconds to ~44 seconds
32 shards, 1095 partitions, 5 indexes drop from ~600 seconds to ~265 seconds
`queryStringList` can be really long, because it may contain #partitions * #indexes entries.
Before this change, we were actually going through the executor where each command
in the query string triggers 1 round trip per entry in queryStringList.
The aim of this commit is to avoid the round-trips by creating a single query string.
I first simply tried sending `q1;q2;..;qn` . However, the executor is designed to
handle `q1;q2;..;qn` type of query executions via the infrastructure mentioned
above (e.g., by tracking the query indexes in the list and doing 1 statement
per round trip).
One another option could have been to change the executor such that only track
the query index when `queryStringList` is provided not with queryString
including multiple `;`s . That is (a) more work (b) could cause weird edge
cases with failure handling (c) felt like coding a special case in to the executor
Because setting the flag doesn't necessarily mean that we'll
use 2PC. If connections are read-only, we will not use 2PC.
In other words, we'll use 2PC only for connections that modified
any placements.
Before this commit, Citus used 2PC no matter what kind of
local query execution happens.
For example, if the coordinator has shards (and the workers as well),
even a simple SELECT query could start 2PC:
```SQL
WITH cte_1 AS (SELECT * FROM test LIMIT 10) SELECT count(*) FROM cte_1;
```
In this query, the local execution of the shards (and also intermediate
result reads) triggers the 2PC.
To prevent that, Citus now distinguishes local reads and local writes.
And, Citus switches to 2PC only if a modification happens. This may
still lead to unnecessary 2PCs when there is a local modification
and remote SELECTs only. Though, we handle that separately
via #4587.
When COPY is used for copying into co-located files, it was
not allowed to use local execution. The primary reason was
Citus treating co-located intermediate results as co-located
shards, and COPY into the distributed table was done via
"format result". And, local execution of such COPY commands
was not implemented.
With this change, we implement support for local execution with
"format result". To do that, we use the buffer for every file
on shardState->copyOutState, similar to how local copy on
shards are implemented. In fact, the logic is similar to
local copy on shards, but instead of writing to the shards,
Citus writes the results to a file.
The logic relies on LOCAL_COPY_FLUSH_THRESHOLD, and flushes
only when the size exceeds the threshold. But, unlike local
copy on shards, in this case we write the headers and footers
just once.
It seems that we were not considering the case where coordinator was
added to the cluster as a worker in the optimization of intermediate
results.
This could lead to errors when coordinator was added as a worker.
* Prevent deadlock for long named partitioned index creation on single node
* Create IsSingleNodeCluster function
* Use both local and sequential execution
Instead of sending NULL's over a network, we now convert the subqueries
in the form of:
SELECT t.a, NULL, NULL FROM (SELECT a FROM table)t;
And we recursively plan the inner part so that we don't send the NULL's
over network. We still need the NULLs in the outer subquery because we
currently don't have an easy way of updating all the necessary places in
the query.
Add some documentation for how the conversion is done
ActiveReadableWorkerNodeList doesn't include coordinator, however if
coordinator is added as a worker, we should also include that while
planning. The current methods are very easily misusable and this
requires a refactoring to make the distinction between methods that
include coordinator and that don't very explicit as they can introduce
subtle/major bugs pretty easily.
We were using ALL_WORKERS TargetWorkerSet while sending temporary schema
creation and cleanup. We(well mostly I) thought that ALL_WORKERS would also include coordinator when it is added as a worker. It turns out that it was FILTERING OUT the coordinator even if it is added as a worker to the cluster.
So to have some context here, in repartitions, for each jobId we create
(at least we were supposed to) a schema in each worker node in the cluster. Then we partition each shard table into some intermediate files, which is called the PARTITION step. So after this partition step each node has some intermediate files having tuples in those nodes. Then we fetch the partition files to necessary worker nodes, which is called the FETCH step. Then from the files we create intermediate tables in the temporarily created schemas, which is called a MERGE step. Then after evaluating the result, we remove the temporary schemas(one for each job ID in each node) and files.
If node 1 has file1, and node 2 has file2 after PARTITION step, it is
enough to either move file1 from node1 to node2 or vice versa. So we
prune one of them.
In the MERGE step, if the schema for a given jobID doesn't exist, the
node tries to use the `public` schema if it is a superuser, which is
actually added for testing in the past.
So when we were not sending schema creation comands for each job ID to
the coordinator(because we were using ALL_WORKERS flag, and it doesn't
include the coordinator), we would basically not have any schemas for
repartitions in the coordinator. The PARTITION step would be executed on
the coordinator (because the tasks are generated in the planner part)
and it wouldn't give us any error because it doesn't have anything to do
with the temporary schemas(that we didn't create). But later two things
would happen:
- If by chance the fetch is pruned on the coordinator side, we the other
nodes would fetch the partitioned files from the coordinator and execute
the query as expected, because it has all the information.
- If the fetch tasks are not pruned in the coordinator, in the MERGE
step, the coordinator would either error out saying that the necessary
schema doesn't exist, or it would try to create the temporary tables
under public schema ( if it is a superuser). But then if we had the same
task ID with different jobID it would fail saying that the table already
exists, which is an error we were getting.
In the first case, the query would work okay, but it would still not do
the cleanup, hence we would leave the partitioned files from the
PARTITION step there. Hence ensure_no_intermediate_data_leak would fail.
To make things more explicit and prevent such bugs in the future,
ALL_WORKERS is named as ALL_NON_COORD_WORKERS. And a new flag to return
all the active nodes is added as ALL_DATA_NODES. For repartition case,
we don't use the only-reference table nodes but this version makes the
code simpler and there shouldn't be any significant performance issue
with that.
Static analysis found an issue where we could dereference `NULL`, because
`CreateDummyPlacement` could return `NULL` when there were no workers. This
PR changes it so that it never returns `NULL`, which was intended by
@marcocitus when doing this change: https://github.com/citusdata/citus/pull/3887/files#r438136433
While adding tests for citus on a single node I also added some more basic
tests and it turns out we error out on repartition joins. This has been
present since `shouldhaveshards` was introduced and is not trivial to fix.
So I created a separate issue for this: https://github.com/citusdata/citus/issues/3996
* Not append empty task in ExtractLocalAndRemoteTasks
ExtractLocalAndRemoteTasks extracts the local and remote tasks. If we do
not have a local task the localTaskPlacementList will be NIL, in this
case we should not append anything to local tasks. Previously we would
first check if a task contains a single placement or not, now we first
check if there is any local task before doing anything.
* fix copy of node task
Task node has task query, which might contain a list of strings in its
fields. We were using postgres copyObject for these lists. Postgres
assumes that each element of list will be a node type. If it is not a
node type it will error.
As a solution to that, a new macro is introduced to copy a list of
strings.
* use local executon when in a transaction block
When we are inside a transaction block, there could be other methods
that need local execution, therefore we will use local execution in a
transaction block.
* update test outputs with transaction block local execution
* add a test to verify we dont leak intermediate schemas
In case we don't care about the tupleStoreState in
ExecuteLocalTaskListExtended, it could be passed as null. In that case
we will get a seg error. This changes it so that a dummy tuple store
will be created when it is null.
Do not use local execution in ExecuteTaskListOutsideTransaction.
As we are going to run the tasks outside transaction, we shouldn't use local execution.
However, there is some problem when using local execution related to
repartition joins, when we solve that problem, we can execute the tasks
coming to this path with local execution.
Also logging the local command is simplified.
normalize job id in worker_hash_partition_table in test outputs.
ExecuteTaskListExtended is the common method for different codepaths,
and instead of writing separate local execution logics in different
codepaths, it makes more sense to have the logic here. We still need to
do some refactoring, this is an initial step.
After this commit, we can run create shard commands locally. There is a
special case with shard creation commands. A create shard command might
have a concatenated query string, however local execution did not know
how to execute a task with multiple query strings. This is also
implemented in this commit. We go over each query in the concatenated
query string and plan/execute them one by one.
A more clean solution to this would be to make sure that each task has a
single query. We currently cannot do that because we need to ensure the
task dependencies. However, it would make sense to do that at some point
and it would simplify the code a lot.
We can use local copy in INSERT..SELECT, so the check that disables
local execution is removed.
Also a test for local copy where the data size >
LOCAL_COPY_FLUSH_THRESHOLD is added.
use local execution with insert..select
* reimplement ExecuteUtilityTaskListWithoutResults for local utility command execution
* introduce new functions for local execution of utility commands
* change ErrorIfTransactionAccessedPlacementsLocally logic for local utility command execution
* enable local execution for TRUNCATE command on distributed & reference tables
* update existing tests for local utility command execution
* enable local execution for DDL commands on distributed & reference tables
* enable local execution for DROP command on distributed & reference tables
* add normalization rules for cascaded commands
* add new tests for local utility command execution
* Update shardPlacement->nodeId to uint
As the source of the shardPlacement->nodeId is always workerNode->nodeId,
and that is uint32.
We had this hack because of: 0ea4e52df5 (r266421409)
And, that is gone with: 90056f7d3c (diff-c532177d74c72d3f0e7cd10e448ab3c6L1123)
So, we're safe to do it now.
* Relax the restrictions on using the local execution
Previously, whenever any local execution happens, we disabled further
commands to do any remote queries. The basic motivation for doing that
is to prevent any accesses in the same transaction block to access the
same placements over multiple sessions: one is local session the other
is remote session to the same placement.
However, the current implementation does not distinguish local accesses
being to a placement or not. For example, we could have local accesses
that only touches intermediate results. In that case, we should not
implement the same restrictions as they become useless.
So, this is a pre-requisite for executing the intermediate result only
queries locally.
* Update the error messages
As the underlying implementation has changed, reflect it in the error
messages.
* Keep track of connections to local node
With this commit, we're adding infrastructure to track if any connection
to the same local host is done or not.
The main motivation for doing this is that we've previously were more
conservative about not choosing local execution. Simply, we disallowed
local execution if any connection to any remote node is done. However,
if we want to use local execution for intermediate result only queries,
this'd be annoying because we expect all queries to touch remote node
before the final query.
Note that this approach is still limiting in Citus MX case, but for now
we can ignore that.
* Formalize the concept of Local Node
Also some minor refactoring while creating the dummy placement
* Write intermediate results locally when the results are only needed locally
Before this commit, Citus used to always broadcast all the intermediate
results to remote nodes. However, it is possible to skip pushing
the results to remote nodes always.
There are two notable cases for doing that:
(a) When the query consists of only intermediate results
(b) When the query is a zero shard query
In both of the above cases, we don't need to access any data on the shards. So,
it is a valuable optimization to skip pushing the results to remote nodes.
The pattern mentioned in (a) is actually a common patterns that Citus users
use in practice. For example, if you have the following query:
WITH cte_1 AS (...), cte_2 AS (....), ... cte_n (...)
SELECT ... FROM cte_1 JOIN cte_2 .... JOIN cte_n ...;
The final query could be operating only on intermediate results. With this patch,
the intermediate results of the ctes are not unnecessarily pushed to remote
nodes.
* Add specific regression tests
As there are edge cases in Citus MX and with round-robin policy,
use the same queries on those cases as well.
* Fix failure tests
By forcing not to use local execution for intermediate results since
all the tests expects the results to be pushed remotely.
* Fix flaky test
* Apply code-review feedback
Mostly style changes
* Limit the max value of pg_dist_node_seq to reserve for internal use
Deparsing and parsing a query can be heavy on CPU. When locally executing
the query we don't need to do this in theory most of the time.
This PR is the first step in allowing to skip deparsing and parsing
the query in these cases, by lazily creating the query string and
storing the query in the task. Future commits will make use of this and
not deparse and parse the query anymore, but use the one from the task
directly.
Naisila Puka
Önder Kalacı
Onur Tirtir
Marco Slot
Burak Velioglu
Önder Kalacı
Halil Ozan Akgul
naisila
SaitTalhaNisanci
Ahmet Gedemenli
Jelte Fennema
Hanefi Önaldı