`TableChainFollowupJobCreationFailedException` when loading Arrow table to ClickHouse

### dlt version

1.5.0

### Describe the problem

When trying to load data from an `arrow` source to `clickhouse` destination using "merge" strategy, dlt raises `dlt.load.exceptions.TableChainFollowupJobCreationFailedException` exception.

This only occurs in arrow/pandas and clickhouse (source to dest) configuration. Other combinations work without issue.

Here's the full stack trace
```
2025-01-29 20:41:08,965|[WARNING]|240986|139845918012096|dlt|__init__.py|_check_duplicate_cursor_threshold:584|Large number of records (1000) sharing the same value of cursor field 'date'. This can happen if the cursor field has a low resolution (e.g., only stores dates without times), causing many records to share the same cursor value. Consider using a cursor column with higher resolution to reduce the deduplication state size.
2025-01-29 20:41:08,974|[WARNING]|240986|139845918012096|dlt|extractors.py|_compute_table:445|In resource: arrow_mmap, when merging arrow schema with dlt schema, several column hints were different. dlt schema hints were kept and arrow schema and data were unmodified. It is up to destination to coerce the differences when loading. Change log level to INFO for more details.
Traceback (most recent call last):
File "/home/user/scribble/dlt-clickhouse-merge-bug-reproduction/venv/lib/python3.11/site-packages/dlt/destinations/sql_jobs.py", line 76, in from_table_chain
for stmt in cls.generate_sql(table_chain, sql_client, params)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/user/scribble/dlt-clickhouse-merge-bug-reproduction/venv/lib/python3.11/site-packages/dlt/destinations/sql_jobs.py", line 173, in generate_sql
merge_sql = cls.gen_merge_sql(table_chain, sql_client)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/user/scribble/dlt-clickhouse-merge-bug-reproduction/venv/lib/python3.11/site-packages/dlt/destinations/sql_jobs.py", line 569, in gen_merge_sql
cls._get_row_key_col(table_chain, sql_client, root_table)
File "/home/user/scribble/dlt-clickhouse-merge-bug-reproduction/venv/lib/python3.11/site-packages/dlt/destinations/sql_jobs.py", line 464, in _get_row_key_col
raise MergeDispositionException(
dlt.destinations.exceptions.MergeDispositionException: Merge sql job for dataset name `public`.`public`, staging dataset name `public`.`public_staging` COULD NOT BE GENERATED. Merge will not be performed. Data for the following tables (['testdata']) is loaded to staging dataset. You may need to write your own materialization. The reason is:
No `row_key`, `unique`, or single primary key column (e.g. `_dlt_id`) in table `testdata`.

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
File "/home/user/scribble/dlt-clickhouse-merge-bug-reproduction/venv/lib/python3.11/site-packages/dlt/load/load.py", line 349, in create_followup_jobs
if follow_up_jobs := client.create_table_chain_completed_followup_jobs(
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/user/scribble/dlt-clickhouse-merge-bug-reproduction/venv/lib/python3.11/site-packages/dlt/destinations/job_client_impl.py", line 270, in create_table_chain_completed_followup_jobs
jobs.extend(self._create_merge_followup_jobs(table_chain))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/user/scribble/dlt-clickhouse-merge-bug-reproduction/venv/lib/python3.11/site-packages/dlt/destinations/impl/clickhouse/clickhouse.py", line 223, in _create_merge_followup_jobs
return [ClickHouseMergeJob.from_table_chain(table_chain, self.sql_client)]
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/user/scribble/dlt-clickhouse-merge-bug-reproduction/venv/lib/python3.11/site-packages/dlt/destinations/sql_jobs.py", line 81, in from_table_chain
raise SqlJobCreationException(e, table_chain) from e
dlt.destinations.sql_jobs.SqlJobCreationException: Could not create SQLFollowupJob with exception Merge sql job for dataset name `public`.`public`, staging dataset name `public`.`public_staging` COULD NOT BE GENERATED. Merge will not be performed. Data for the following tables (['testdata']) is loaded to staging dataset. You may need to write your own materialization. The reason is:
No `row_key`, `unique`, or single primary key column (e.g. `_dlt_id`) in table `testdata`.. Table chain: - columns:
id:
name: id
nullable: true
data_type: bigint
value:
name: value
nullable: true
data_type: double
category:
name: category
nullable: true
data_type: text
nested:
name: nested
nullable: true
data_type: json
date:
name: date
nullable: false
data_type: text
merge_key: true
incremental: true
name: testdata
write_disposition: merge
resource: arrow_mmap
x-normalizer:
seen-data: true

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
File "/home/user/scribble/dlt-clickhouse-merge-bug-reproduction/venv/lib/python3.11/site-packages/dlt/pipeline/pipeline.py", line 608, in load
runner.run_pool(load_step.config, load_step)
File "/home/user/scribble/dlt-clickhouse-merge-bug-reproduction/venv/lib/python3.11/site-packages/dlt/common/runners/pool_runner.py", line 91, in run_pool
while _run_func():
^^^^^^^^^^^
File "/home/user/scribble/dlt-clickhouse-merge-bug-reproduction/venv/lib/python3.11/site-packages/dlt/common/runners/pool_runner.py", line 84, in _run_func
run_metrics = run_f.run(cast(TExecutor, pool))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/user/scribble/dlt-clickhouse-merge-bug-reproduction/venv/lib/python3.11/site-packages/dlt/load/load.py", line 639, in run
self.load_single_package(load_id, schema)
File "/home/user/scribble/dlt-clickhouse-merge-bug-reproduction/venv/lib/python3.11/site-packages/dlt/load/load.py", line 572, in load_single_package
running_jobs, finalized_jobs, new_pending_exception = self.complete_jobs(
^^^^^^^^^^^^^^^^^^^
File "/home/user/scribble/dlt-clickhouse-merge-bug-reproduction/venv/lib/python3.11/site-packages/dlt/load/load.py", line 447, in complete_jobs
self.create_followup_jobs(load_id, state, job, schema)
File "/home/user/scribble/dlt-clickhouse-merge-bug-reproduction/venv/lib/python3.11/site-packages/dlt/load/load.py", line 354, in create_followup_jobs
raise TableChainFollowupJobCreationFailedException(
dlt.load.exceptions.TableChainFollowupJobCreationFailedException: Failed creating table chain followup jobs for table chain with root table testdata.

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
File "/home/user/scribble/dlt-clickhouse-merge-bug-reproduction/arrow-to-clickhouse.py", line 75, in
load_info = pipeline.run(
^^^^^^^^^^^^^
File "/home/user/scribble/dlt-clickhouse-merge-bug-reproduction/venv/lib/python3.11/site-packages/dlt/pipeline/pipeline.py", line 226, in _wrap
step_info = f(self, *args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/user/scribble/dlt-clickhouse-merge-bug-reproduction/venv/lib/python3.11/site-packages/dlt/pipeline/pipeline.py", line 275, in _wrap
return f(self, *args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/user/scribble/dlt-clickhouse-merge-bug-reproduction/venv/lib/python3.11/site-packages/dlt/pipeline/pipeline.py", line 747, in run
return self.load(destination, dataset_name, credentials=credentials)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/user/scribble/dlt-clickhouse-merge-bug-reproduction/venv/lib/python3.11/site-packages/dlt/pipeline/pipeline.py", line 226, in _wrap
step_info = f(self, *args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/user/scribble/dlt-clickhouse-merge-bug-reproduction/venv/lib/python3.11/site-packages/dlt/pipeline/pipeline.py", line 166, in _wrap
return f(self, *args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/user/scribble/dlt-clickhouse-merge-bug-reproduction/venv/lib/python3.11/site-packages/dlt/pipeline/pipeline.py", line 275, in _wrap
return f(self, *args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/user/scribble/dlt-clickhouse-merge-bug-reproduction/venv/lib/python3.11/site-packages/dlt/pipeline/pipeline.py", line 615, in load
raise PipelineStepFailed(
dlt.pipeline.exceptions.PipelineStepFailed: Pipeline execution failed at stage load when processing package 1738163468.926135 with exception:

Failed creating table chain followup jobs for table chain with root table testdata.

```

### Expected behavior

I expected to be able to produce data from `arrow` to `clickhouse`

### Steps to reproduce

Here's a self contained script that can reproduce this issue:
```python
import random
import dlt
import dlt.extract
from dlt.destinations.impl.clickhouse.configuration import (
ClickHouseCredentials
)
import pandas as pd
import numpy as np
import pyarrow as pa

"""
clickhouse setup

$ docker run -p 8123:8123 -p 9000:9000 clickhouse/clickhouse-server:24.12
$ docker exec -i ${CONTAINER_ID} /usr/bin/env clickhouse-client < _EOF
CREATE DATABASE IF NOT EXISTS "public";
CREATE USER IF NOT EXISTS dlt IDENTIFIED WITH sha256_password BY 'Dlt*12345789234567';
GRANT CREATE, ALTER, SELECT, DELETE, DROP, TRUNCATE, OPTIMIZE, SHOW, INSERT, dictGet ON public.* TO dlt;
GRANT CREATE, ALTER, SELECT, DELETE, DROP, TRUNCATE, OPTIMIZE, SHOW, INSERT, dictGet ON default.* TO dlt;
GRANT SELECT ON INFORMATION_SCHEMA.COLUMNS TO dlt;
GRANT CREATE TEMPORARY TABLE, S3 ON *.* TO dlt;
_EOF
"""

@dlt.resource(
name="arrow_mmap",
merge_key="date",
columns={'date': {'merge_key': True, 'name': 'date'}}
)
def arrow_mmap(
incremental = dlt.sources.incremental(
"date",
initial_value=None,
end_value=None,
range_end="closed",
range_start="closed",
)
):

row_count = 1000
df = pd.DataFrame(
{
"id": range(row_count),
"value": np.random.rand(row_count),
"category": np.random.choice(["A", "B", "C"], size=row_count),
"nested": [{"a": 1, "b": 2, "c": {"d": 3}}] * row_count,
"date": ["2024-11-05"] * row_count,
}
)
yield pa.Table.from_pandas(df)

source = arrow_mmap()

credentials = ClickHouseCredentials(
{
"host": "localhost",
"port": "9000",
"username": "dlt",
"password": "Dlt*12345789234567",
"database": "public",
"http_port": 8123,
"secure": 0,
}
)

dest = dlt.destinations.clickhouse(credentials=credentials)

pipeline = dlt.pipeline(
"".join(random.choices("abcdefghijklmop123456", k=5)),
destination=dest,
dataset_name="public",
)

load_info = pipeline.run(
source,
table_name="testdata",
write_disposition="merge",
)
```

Here's another example that works fine, using `duckdb` dest:

``` python
import random
import dlt
import dlt.extract
import pandas as pd
import numpy as np
import pyarrow as pa

@dlt.resource(
name="arrow_mmap",
merge_key="date",
columns={'date': {'merge_key': True, 'name': 'date'}}
)
def arrow_mmap(
incremental = dlt.sources.incremental(
"date",
initial_value=None,
end_value=None,
range_end="closed",
range_start="closed",
)
):

row_count = 1000
df = pd.DataFrame(
{
"id": range(row_count),
"value": np.random.rand(row_count),
"category": np.random.choice(["A", "B", "C"], size=row_count),
"nested": [{"a": 1, "b": 2, "c": {"d": 3}}] * row_count,
"date": ["2024-11-05"] * row_count,
}
)
yield pa.Table.from_pandas(df)

source = arrow_mmap()

dest = dlt.destinations.duckdb("duckdb:///out.db")

pipeline = dlt.pipeline(
"".join(random.choices("abcdefghijklmop123456", k=5)),
destination=dest,
dataset_name="dlt",
)

load_info = pipeline.run(
source,
table_name="testdata",
write_disposition="merge",
)

```

### Operating system

Linux

### Runtime environment

Local

### Python version

3.11

### dlt data source

`arrow`
https://dlthub.com/docs/dlt-ecosystem/verified-sources/arrow-pandas

### dlt destination

Clickhouse

### Additional information

clickhouse version: 24.12