Best Practices for Dynamic Filtering on Array Columns (e.g., ClickHouse Array(Int32))

**Problem**

I'm using Cube.js with a ClickHouse data source and need to support dynamic filtering on an array column (Project IDs of type Array(Int32)) via the GraphQL API. Users should be able to provide an arbitrary list of values (e.g., [123, 456]) to filter rows where the array contains any of those values (OR semantics).
Cube.js doesn't natively support array types or operators like contains for arrays, so standard dimension filters append = ? to the WHERE clause, which breaks array functions (e.g., hasAny). I've tried several workarounds, but each has trade-offs (detailed below). I'm looking for:

Better approaches or best practices for this use case.
Confirmation if the "formatted string" method is acceptable (it works but feels hacky).
Any plans for native array support (e.g., custom operators like arrayContains)?

Attempts and Issues

1. Unnest with arrayJoin:
```javascript
project_id_element: {
sql: `arrayJoin(${CUBE}."Project IDs")`,
type: `number`
}
```
Issue: Filtering by multiple values duplicates measures (e.g., count) when multiple values match in one row.

2. Direct Array Function:
```javascript
has_project_id: {
sql: `arrayExists(x -> x = {filterValue}, ${CUBE}."Project IDs")`,
type: `boolean`
}
```
Issue: Cube appends = ? to filters, breaking arrayExists or hasAny.

3. Using FILTER_PARAMS in Segment:
```javascript
segments: {
project_filter: { sql: `hasAny(${CUBE}."Project IDs", ${FILTER_PARAMS.project_ids})` }
}
```
Issue: Still gets wrapped in = ? or is hard to maintain with dynamic values.

4. Format Array as String (Current Solution):
```javascript
project_id_filter: {
type: `string`,
sql: `arrayStringConcat(arrayMap(x -> concat('$', toString(x), '$'), ${CUBE}."Project IDs"), ',')`
}
```
Works: Filters with contains on ["$123$", "$456$"] produce WHERE ... LIKE '%$123$%' OR ... LIKE '%$456$%'.
Concerns: Brittle (client must format $x$), potential performance issues with string ops, edge cases (empty arrays).

**Related Cube.js schema**
```javascript
cube(`violations`, {
sql_table: `violations`,

data_source: `default`,

measures: {
// Assuming some measures like count
count: {
type: `count`,
},
},

dimensions: {
id: {
sql: `${CUBE}."ID"`,
type: `string`,
primary_key: true
},
// Note: "Project IDs" is the array column (Array(Int32))
project_id: {
type: `number`,
sql: `${CUBE}."Project IDs"`, // This doesn't work for filtering as-is
},
has_project_id: {
sql: `arrayExists(x -> x = {filterValue}, ${CUBE}."Project IDs")`,
type: `boolean`,
},
project_id_element: {
sql: `arrayJoin(${CUBE}."Project IDs")`,
type: `number`, // Or string
},
project_id_filter: {
type: `string`,
sql: `arrayStringConcat(arrayMap(x -> concat('$', toString(x), '$'), ${CUBE}."Project IDs"), ',')`,
},
}
});```

**Related Cube.js generated SQL**

```sql
SELECT
someOtherDim,
COUNT(*) AS count
FROM violations
WHERE hasAny("Project IDs", [123, 456]) -- OR equivalent with arrayExists
GROUP BY someOtherDim;
```