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· One min read

How do I check my ClickHouse Cloud Service state? I want to check if the Service is stopped, idle, or running, but I don't want to wake the Service up in doing so.

Answer​

The ClickHouse Cloud API is great for checking the status of a cloud service. You need to create an API Key in your service before you can use the Cloud API. You can do this in ClickHouse Cloud clickhouse.cloud:

  1. To check the status of a service, run the following. Make sure to replace Key-ID and Key-Secret with your respective details:

    curl --user '[Key-ID]:[Key-Secret]' https://api.clickhouse.cloud/v1/organizations/[Org-ID]/services/[Service-ID]

    This will output something like:

    result":{"id":"[Service-ID]","name":"[Service-Name]","provider":"aws","region":"us-east-1","state":"**idle**","endpoints":[{"protocol":"nativesecure","host":"[Connect-URL]","port":9440},{"protocol":"https","host":"[Connect-URL]","port":8443}],"tier":"development","idleScaling":true,"idleTimeoutMinutes":15,"ipAccessList":[{"source":"[my-IP]","description":"[my-IP-name]"}],"createdAt":"2023-04-13T23:47:47Z"},"status":200}

  2. You can use the JQ utility to extract the state key:

    curl --user '[Key-ID]:[Key-Secret]' https://api.clickhouse.cloud/v1/organizations/[Org-ID]/services/[Service-ID] | jq '.state'

    This will output something like:

    **idle**

  3. Running the same command against an actively running service will output:

    **running**

· 2 min read

Yes, ClickHouse can perform vector search. The main advantages of using ClickHouse for vector search compared to using more specialized vector databases include:

  • Using ClickHouse's filtering and full-text search capabilities to refine your dataset before performing a search.
  • Performing analytics on your datasets.
  • Running a JOIN against your existing data.
  • No need to manage yet another database and complicate your infrastructure.

Here is a quick tutorial on how to use ClickHouse for vector search.

1. Create embeddings​

Your data (documents, images, or structured data) must be converted to embeddings. We recommend creating embeddings using the OpenAI Embeddings API or using the open-source Python library SentenceTransformers.

You can think of an embedding as a large array of floating-point numbers that represent your data. Check out this guide from OpenAI to learn more about embeddings.

2. Store the embeddings​

Once you have generated embeddings, you need to store them in ClickHouse. Each embedding should be stored in a separate row and can include metadata for filtering, aggregations, or analytics. Here's an example of a table that can store images with captions:

CREATE TABLE images
(
    `_file` LowCardinality(String),
    `caption` String,
    `image_embedding` Array(Float32)
)
ENGINE = MergeTree;

Let's say you want to search for pictures of dogs in your dataset. You can use a distance function like cosineDistance to take an embedding of a dog image and search for related images:

SELECT
    _file,
    caption,
    cosineDistance(
        -- An embedding of your "input" dog picture
        [0.5736801028251648, 0.2516217529773712, ...,  -0.6825592517852783],
        image_embedding
    ) AS score
FROM images
ORDER BY score ASC
LIMIT 10

This query returns the _file names and caption of the top 10 images most likely to be related to your provided dog image.

Further Reading​

To follow a more in-depth tutorial on vector search using ClickHouse, please see:

· 6 min read

Quotas and query complexity are powerful ways to limit and restrict what users can do in ClickHouse.

Quotas do apply restrictions within the context of a time interval, while query complexity applies regardless of time intervals.

This KB article shows examples on how to apply these two different approaches.

The sample data​

We refer to this simple sample table for the purpose of these examples:

clickhouse-cloud :) CREATE TABLE default.test_table (name String, age UInt8) ENGINE=MergeTree ORDER BY tuple();

-- CREATE TABLE default.test_table
-- (
--     `name` String,
--     `age` UInt8
-- )
-- ENGINE = MergeTree
-- ORDER BY tuple()

-- Query id: 4fd405db-a96e-4004-b1f6-e7f87def05d7

-- Ok.

-- 0 rows in set. Elapsed: 0.313 sec.

clickhouse-cloud :) INSERT INTO default.test_table SELECT * FROM generateRandom('name String, age UInt8',1,1) LIMIT 100;

-- INSERT INTO default.test_table SELECT *
-- FROM generateRandom('name String, age UInt8', 1, 1)
-- LIMIT 100

-- Query id: 6eccfdc6-d98c-4377-ae25-f18deec6c807

-- Ok.

-- 0 rows in set. Elapsed: 0.055 sec.

clickhouse-cloud :) SELECT * FROM default.test_table_00006488 LIMIT 5

-- SELECT *
-- FROM default.test_table_00006488
-- LIMIT 5

-- Query id: 9fa58419-fb57-4260-886a-ccb836449f58

-- ┌─name─┬─age─┐
-- │      │ 200 │
-- │ 4    │  72 │
-- │ +    │ 127 │
-- │      │ 144 │
-- │ ]    │  60 │
-- └──────┴─────┘

-- 5 rows in set. Elapsed: 0.003 sec.

Using Quotas​

In this example we create a role to which we'll apply a Quota that allows only 10 result rows to be retrieved for each 10 seconds interval:

# AS the privileged user

# create a user
clickhouse-cloud :) CREATE USER user_with_quota IDENTIFIED WITH sha256_password BY 'Dr6P1S8SGaQ@u!BUAnv';

-- CREATE USER user_with_quota IDENTIFIED WITH sha256_hash BY '2444E98ADA7433FC12F55C467D3564BF87F47B1A996E70D77496A2F1E42BAD73' SALT '129F92F8AB4AB6E56A01AA826D10D1239F14148606E197EB19D7612F8AF8BC52'

-- Query id: 542a4013-e34c-4776-b374-962fcfd2575a

-- Ok.

-- 0 rows in set. Elapsed: 0.097 sec.

# create a role to which quotas will be applied
clickhouse-cloud :) CREATE ROLE role_with_quota

-- CREATE ROLE role_with_quota

-- Query id: 133a843b-8619-4642-84d9-9c232539b6a0

-- Ok.

-- 0 rows in set. Elapsed: 0.096 sec.


-- grant select privileges
clickhouse-cloud :) GRANT SELECT ON default.* TO role_with_quota;

-- GRANT SELECT ON default.* TO role_with_quota

-- Query id: 1b0e295e-597d-477f-8847-13411157fd1c

-- Ok.

-- 0 rows in set. Elapsed: 0.100 sec.


-- grant role to the user
clickhouse-cloud :) GRANT role_with_quota TO user_with_quota

-- GRANT role_with_quota TO user_with_quota

-- Query id: 0e19ff50-8990-4c17-8f91-5c8ce4142bdd

-- Ok.

-- 0 rows in set. Elapsed: 0.099 sec.


-- create a quota that allows max 10 result rows in each 10 seconds interval and apply that to the role
clickhouse-cloud :) CREATE QUOTA quota_max_10_result_rows_per_10_seconds FOR INTERVAL 10 second MAX result_rows = 10 TO role_with_quota

-- CREATE QUOTA quota_max_10_result_rows_per_10_seconds FOR INTERVAL 10 second MAX result_rows = 10 TO role_with_quota

-- 0 rows in set. Elapsed: 23.427 sec.

-- Query id: fe4d2038-2d35-415d-89ec-9eaaa2533fcd

Now login as the user user_with_quota

-- login as the user where quota is applied through the role
clickhouse-cloud :) SELECT user()

-- SELECT user()

-- Query id: 56ebd28d-0d36-4caf-9cef-c3e51d9f0b9d

-- ┌─currentUser()───┐
-- │ user_with_quota │
-- └─────────────────┘

-- 1 row in set. Elapsed: 0.002 sec.


-- list grants
clickhouse-cloud :) SHOW GRANTS

-- SHOW GRANTS

-- Query id: cc78bada-28f4-4862-9fdf-7e68aae6fd80

-- ┌─GRANTS───────────────────────────────────┐
-- │ GRANT role_with_quota TO user_with_quota │
-- └──────────────────────────────────────────┘

-- 1 row in set. Elapsed: 0.001 sec.

-- check the timem
clickhouse-cloud :) select now()

-- SELECT now()

-- Query id: bbbd54a8-6c2f-4d3b-982a-03d7bd143aa9

-- ┌───────────────now()─┐
-- │ 2023-10-25 14:37:38 │
-- └─────────────────────┘

-- 1 row in set. Elapsed: 0.001 sec.


-- query ten rows
clickhouse-cloud :) SELECT * FROM test_table LIMIT 10

-- SELECT *
-- FROM test_table
-- LIMIT 10

-- Query id: 20f1c02f-c938-4d06-851d-824c82693eb9

-- ┌─name─┬─age─┐
-- │      │ 200 │
-- │ 4    │  72 │
-- │ +    │ 127 │
-- │      │ 144 │
-- │ ]    │  60 │
-- │      │ 137 │
-- │      │ 176 │
-- │      │ 147 │
-- │      │ 107 │
-- │ Q    │ 128 │
-- └──────┴─────┘

-- 10 rows in set. Elapsed: 0.002 sec.

-- attempt to get another row within the 10 seconds interval since the last query
clickhouse-cloud :) SELECT * FROM test_table LIMIT 1

-- SELECT *
-- FROM test_table
-- LIMIT 1

-- Query id: 48ae46ef-7b33-4765-affa-e47e889f48e5


-- 0 rows in set. Elapsed: 0.094 sec.

-- Received exception from server (version 23.8.1):
-- Code: 201. DB::Exception: Received from dxqjx1s5lt.eu-west-1.aws.clickhouse.cloud:9440. DB::Exception: Quota for user `user_with_quota` for 10s has been exceeded: result_rows = 11/10. 
-- Interval will end at 2023-10-25 14:37:50. Name of quota template: `quota_max_10_result_rows_per_10_seconds`. (QUOTA_EXCEEDED)


-- check the time
clickhouse-cloud :) select now()

-- SELECT now()

-- Query id: 87f190f6-3f75-4fe6-bf9c-c80ed88e179f

-- ┌───────────────now()─┐
-- │ 2023-10-25 14:37:45 │
-- └─────────────────────┘

-- 1 row in set. Elapsed: 0.001 sec.

Note that the user will need to wait another 5 seconds before can get a new 10 rows resultset "allowance".

Using Query Complexity​

In this example we create a role to which we'll apply a Query Complexity SETTING that allows only 1 rows to be returned for each query.

-- AS the privileged user
-- create a user
clickhouse-cloud :) CREATE USER user_with_query_complexity IDENTIFIED WITH sha256_password BY 'Dr6P1S8SGaQ@u!BUAnv';

-- CREATE USER user_with_query_complexity IDENTIFIED WITH sha256_hash BY '99AB4976077304554286C43AA47C3BEDA5758EF56282C2FC90C0787DC6FE72BC' SALT '5A50D2B9B1DF7E8A1AA9A2CC00BCF802B7F605281A09E18E237447509B5C7A7C'

-- Query id: 91856182-f2bb-40cc-8902-2786beeeb93d

-- Ok.

-- 0 rows in set. Elapsed: 0.104 sec.


-- create a role with query complexity SETTINGS that allows only one role in resultset
clickhouse-cloud :) CREATE ROLE role_with_query_complexity SETTINGS max_result_rows=1;

-- CREATE ROLE role_with_query_complexity SETTINGS max_result_rows = 1

-- Query id: ec3d89fe-cab8-4cc3-9180-da5c93519643

-- Ok.

-- 0 rows in set. Elapsed: 0.097 sec.


-- grant select privileges
clickhouse-cloud :) GRANT SELECT ON default.* TO role_with_query_complexity;

-- GRANT SELECT ON default.* TO role_with_query_complexity

-- Query id: 230774ad-8073-4e2e-9530-3e90bce41cb1

-- Ok.

-- 0 rows in set. Elapsed: 0.097 sec.


-- grant role to the user
clickhouse-cloud :) GRANT role_with_query_complexity TO user_with_query_complexity

-- GRANT role_with_query_complexity TO user_with_query_complexity

-- Query id: f28c7c7b-61f7-48a8-a281-1f3784764b47

-- Ok.

-- 0 rows in set. Elapsed: 0.096 sec.

Now login as the user user_with_query_complexity:


-- login as the user where query complexity is applied through the role
clickhouse-cloud :) SELECT user();

-- SELECT user()

-- Query id: 196c91fc-abff-464d-acce-6af961c233a3

-- ┌─currentUser()──────────────┐
-- │ user_with_query_complexity │
-- └────────────────────────────┘

-- 1 row in set. Elapsed: 0.001 sec.


-- list grants
clickhouse-cloud :) SHOW GRANTS

-- SHOW GRANTS

-- Query id: 87657b99-c3d9-4ffd-90e8-488f04f7f93b

-- ┌─GRANTS─────────────────────────────────────────────────────────┐
-- │ GRANT role_with_query_complexity TO user_with_query_complexity │
-- └────────────────────────────────────────────────────────────────┘

-- 1 row in set. Elapsed: 0.001 sec.

-- attempt to query with 1 row in resultset
clickhouse-cloud :) SELECT * FROM default.test_table LIMIT 1;

-- SELECT *
-- FROM default.test_table
-- LIMIT 1

-- Query id: 7266891b-8611-4342-81b0-fe04766e62fa

-- ┌─name─┬─age─┐
-- │      │ 200 │
-- └──────┴─────┘

-- 1 row in set. Elapsed: 0.002 sec.


-- attempt to query with more than 1 row in resultset
clickhouse-cloud :) SELECT * FROM default.test_table LIMIT 2;

-- SELECT *
-- FROM default.test_table
-- LIMIT 2

-- Query id: ec8ecff3-f731-45bd-bb27-894ba358c7c8

-- 0 rows in set. Elapsed: 0.091 sec.

--Received exception from server (version 23.8.1):
--Code: 396. DB::Exception: Received from dxqjx1s5lt.eu-west-1.aws.clickhouse.cloud:9440. 
--DB::Exception: Limit for result exceeded, max rows: 1.00, current rows: 2.00. (TOO_MANY_ROWS_OR_BYTES)

Whenever attempting to get more than 1 row in resultset the query complexity constraint will kick in.

· One min read

How do I grant the same permissions as the current user to another user?​

GRANT CURRENT GRANTS ON *.* TO another_user;

How do I grant a specific permission to a user based on the grants of the current user?​

In the below example, another_user will be able to perform SELECT commands on all of the databases and tables of the current user.

GRANT CURRENT GRANTS(SELECT ON *.*) TO another_user;

How do I grant a specific permission to a user for a specific database based on the grants of the current user?​

In the below example, another_user will be able to perform INSERT commands to all tables in my_database.

GRANT INSERT ON my_database.* TO another_user;

How do I give access to all grants for a specific user based on the default user?​

GRANT default_role TO another_user;

· One min read

Question​

How do I change my Billing Contact in ClickHouse Cloud?

Answer​

To change the Billing Contact as an Admin, follow the steps below:

  1. Invite a new user as an Admin to the Cloud Organization.
  2. Once they accept the invite, go into the ClickHouse Cloud Console billing page (Admin->Billing) and find the section on "Billing contacts".
  3. Use the Edit button to select the new Admin user as a Billing Contact.

· 3 min read

Question​

How to check users assigned to roles and viceversa?

Answer​

-- LOGGED IN AS default (admin privileges)

clickhouse-cloud :) SELECT user()

SELECT user()

Query id: 9bc02d8b-ab05-4a63-b2dd-3e0093f36d31

┌─currentUser()─┐
│ default       │
└───────────────┘

1 row in set. Elapsed: 0.001 sec.



-- create user 'foo'

clickhouse-cloud :) CREATE USER foo IDENTIFIED WITH sha256_password BY 'secretPassword123!'

CREATE USER foo IDENTIFIED WITH sha256_hash BY '4338B66A5F04244574CB9C872829F1FD8F696C658EC7A4BD22FEFBBCF331B665' SALT 'C2911CA1E4787227BBD0EBEF43066EF2EC4C54172C1AB3616E88050F2EC13475'

Query id: 9711f5fc-2b5c-43f0-a760-0c67764919a2

Ok.

0 rows in set. Elapsed: 0.102 sec.



-- create user 'bar'

clickhouse-cloud :) CREATE USER bar IDENTIFIED WITH sha256_password BY 'secretPassword123!'

CREATE USER bar IDENTIFIED WITH sha256_hash BY '14A1401822566260191F51BAE85C4740E650E1F9D02DEFFF086CD6A6A8B3164F' SALT '276AE4A32353D579894C83C230775568E501CCD696531EEF0006761D3BEE3F75'

Query id: 11a78bf5-f5e1-4f1d-bfe8-cf2aa0a1b15d

Ok.

0 rows in set. Elapsed: 0.103 sec.



-- create role 'role_a'

clickhouse-cloud :) CREATE ROLE role_a;

CREATE ROLE role_a

Query id: 13ccc007-fa5a-4110-9a05-48e284cea45f

Ok.

0 rows in set. Elapsed: 0.104 sec.



-- create role 'role_b'

clickhouse-cloud :) CREATE ROLE role_b;

CREATE ROLE role_b

Query id: 43f84376-76fa-4cd2-b8e2-2dcfbe41ec1b

Ok.

0 rows in set. Elapsed: 0.103 sec.



-- grant 'role_a' to users 'foo' and 'bar'


clickhouse-cloud :) GRANT role_a to foo,bar

GRANT role_a TO foo, bar

Query id: 4fe91624-efb3-4091-b680-b6905ab445b4

Ok.

0 rows in set. Elapsed: 0.107 sec.



-- grant 'role_b' to user 'bar'

clickhouse-cloud :) GRANT role_b TO bar

GRANT role_b TO bar

Query id: 7ea38b28-2719-4dd6-8abd-0241f7b34d5c

Ok.

0 rows in set. Elapsed: 0.102 sec.



-- What users have assigned 'role_a'?

clickhouse-cloud :) SELECT * FROM system.role_grants WHERE granted_role_name='role_a';

SELECT *
FROM system.role_grants
WHERE granted_role_name = 'role_a'

Query id: bf088776-f450-4150-b2e8-197b400573c1

┌─user_name─┬─role_name─┬─granted_role_name─┬─granted_role_is_default─┬─with_admin_option─┐
│ bar       │ ᴺᵁᴸᴸ      │ role_a            │                       1 │                 0 │
│ foo       │ ᴺᵁᴸᴸ      │ role_a            │                       1 │                 0 │
└───────────┴───────────┴───────────────────┴─────────────────────────┴───────────────────┘

2 rows in set. Elapsed: 0.001 sec.



-- What roles are assigned to users 'foo' and 'bar'?

clickhouse-cloud :) SELECT * FROM system.role_grants WHERE user_name IN ('foo','bar');

SELECT *
FROM system.role_grants
WHERE user_name IN ('foo', 'bar')

Query id: b81dbe1c-42f0-43bd-b237-1a6b1d81ae3d

┌─user_name─┬─role_name─┬─granted_role_name─┬─granted_role_is_default─┬─with_admin_option─┐
│ bar       │ ᴺᵁᴸᴸ      │ role_b            │                       1 │                 0 │
│ bar       │ ᴺᵁᴸᴸ      │ role_a            │                       1 │                 0 │
│ foo       │ ᴺᵁᴸᴸ      │ role_a            │                       1 │                 0 │
└───────────┴───────────┴───────────────────┴─────────────────────────┴───────────────────┘

3 rows in set. Elapsed: 0.001 sec.



-- logged in as user 'foo'

clickhouse-cloud :) SELECT user()

SELECT user()

Query id: eee6eaaa-11bc-42c1-9258-fa3079ee6f80

┌─currentUser()─┐
│ foo           │
└───────────────┘

1 row in set. Elapsed: 0.001 sec.

clickhouse-cloud :) SHOW CURRENT ROLES

SHOW CURRENT ROLES

Query id: aa6a1ac1-3502-4960-bb34-f7d9f0d7986e

┌─role_name─┬─with_admin_option─┬─is_default─┐
│ role_a    │                 0 │          1 │
└───────────┴───────────────────┴────────────┘

1 row in set. Elapsed: 0.002 sec.



-- logged in as user 'bar'

clickhouse-cloud :) SELECT user()

SELECT user()

Query id: fa9ba47f-efcf-4491-9b4e-2f1130dfa84b

┌─currentUser()─┐
│ bar           │
└───────────────┘

1 row in set. Elapsed: 0.001 sec.

clickhouse-cloud :) SHOW CURRENT ROLES

SHOW CURRENT ROLES

Query id: fb3f2941-a8ce-481d-8fad-b775bfc5b532

┌─role_name─┬─with_admin_option─┬─is_default─┐
│ role_a    │                 0 │          1 │
│ role_b    │                 0 │          1 │
└───────────┴───────────────────┴────────────┘

2 rows in set. Elapsed: 0.001 sec.

· One min read

When you try to alter a user's settings, you may encounter the above exception. Here are a few options to troubleshoot this error:

Edit users.xml directly​

You can edit or add the desired settings for a specific user in users.xml directly in the file /etc/clickhouse-server/users.d.

Read more about users.xml here.

Create another user​

You can create another user with the specified settings, then connect to ClickHouse using that new user.

View this page to learn how to create users.

Enable SQL-driven access control​

You can enable SQL-drive access control and account management for the default user. The steps to enable this are specified in this page.

· One min read

ClickHouse and ClickHouse Cloud both support row and column-level access restrictions for read-only users necessary to achieve a role-based access control (RBAC) model.

Row Policies can be used to specify which rows will be returned to a read-only user when they query a table. ClickHouse Cloud is configured to enable the SQL-driven workflow by default. To leverage this workflow CREATE a user, GRANT the user privileges on a table, then set the appropriate ROW POLICY. When the user performs a SELECT * FROM table, only rows allowed by the policy will be displayed.

Column-level restrictions may be specified directly using the GRANT statement to enable table-level access for users and roles. Users may only include columns for which they have access in a query. Selecting restricted columns from a table in which the user does not have access to all the specified columns, such as in the query SELECT * FROM table, will return an error stating the user has insufficient permissions.

· 2 min read

Parameterized views can be handy to slice and dice data on the fly based on some parameters that can be fed at query execution time.

See this basic example:

1) create a table

clickhouse-cloud :) CREATE TABLE raw_data (id UInt32, data String) ENGINE = MergeTree ORDER BY id

CREATE TABLE raw_data
(
`id` UInt32,
`data` String
)
ENGINE = MergeTree
ORDER BY id

Query id: aa21e614-1e10-4bba-88ce-4c7183a9148e

Ok.

0 rows in set. Elapsed: 0.332 sec.

2) insert some sample random data

clickhouse-cloud :) INSERT INTO raw_data SELECT * FROM generateRandom('`id` UInt32,
`data` String',1,1) LIMIT 1000000;

INSERT INTO raw_data SELECT *
FROM generateRandom('`id` UInt32,
`data` String', 1, 1)
LIMIT 1000000

Query id: c552a34a-b72f-45e1-bed0-778923e1b5c9

Ok.

0 rows in set. Elapsed: 0.438 sec. Processed 1.05 million rows, 10.99 MB (2.39 million rows/s., 25.11 MB/s.)

3) create the parameterized view:

clickhouse-cloud :) CREATE VIEW raw_data_parametrized AS SELECT * FROM raw_data WHERE id BETWEEN {id_from:UInt32} AND {id_to:UInt32}

CREATE VIEW raw_data_parametrized AS
SELECT *
FROM raw_data
WHERE (id >= {id_from:UInt32}) AND (id <= {id_to:UInt32})

Query id: 45fb83a6-aa55-4197-a7cd-9e1ad2c76d48

Ok.

0 rows in set. Elapsed: 0.102 sec.

4) query the parameterized view by feeding the expected parameters in your FROM clause:

clickhouse-cloud :) SELECT count() FROM raw_data_parametrized(id_from=0, id_to=50000);

SELECT count()
FROM raw_data_parametrized(id_from = 0, id_to = 50000)

Query id: 5731aae1-3e68-4e63-b57f-d50f29055744

┌─count()─┐
│ 317019 │
└─────────┘

1 row in set. Elapsed: 0.004 sec. Processed 319.49 thousand rows, 319.49 KB (76.29 million rows/s., 76.29 MB/s.)

For more info, please refer to https://clickhouse.com/docs/en/sql-reference/statements/create/view#parameterized-view

· One min read

Question​

When executing a INSERT...SELECT statement, I am getting too many parts (TOO_MANY_PARTS) error.

How can I solve this?

Answer​

Below are some of the settings to tune to avoid this error, this is expert level tuning of ClickHouse and these values should be set only after understanding the specifications of the ClickHouse cloud service or on-prem cluster where these will be used, so do not take these values as "one size fits all".

max_insert_block_size = 100_000_000 (default 1_048_576)

Increase from ~1M to 100M would allow larger blocks to form

Note: This setting only applies when the server forms the blocks. i.e. INSERT via the HTTP interface, and not for clickhouse-client

min_insert_block_size_rows = 100_000_000 (default 1_048_576)

Increase from ~1M to 100M would allow larger blocks to form.

min_insert_block_size_bytes = 500_000_000 (default 268_435_456)

Increase from 268.44 MB to 500 MB would allow larger blocks to form.

parts_to_delay_insert = 500 (default 150)

Increasing this so that INSERTs are not artificially slowed down when the number of active parts in a single partition is reached.

parts_to_throw_insert = 1500 (default 3000)

Increasing this would generally affect query performance to the table, but this would be fine for data migration.