Filter Reference - Grain Analytics

Overview

Filters allow you to narrow down your query results by specifying conditions that events must meet. You can filter on event properties, metadata, and use various comparison operators to match your exact needs.

Filter Structure

All filters follow this structure:

{
  "property": "string",
  "comparison": "string", 
  "value": "any"
}

Filter Fields

Field	Type	Required	Description
`property`	string	Yes	Property path to filter on
`comparison`	string	Yes	Comparison operator
`value`	any	Yes	Value to compare against

Property Paths

Event Properties

Access custom properties you included when tracking events:

{
  "property": "properties.price",
  "comparison": "GREATER_THAN",
  "value": 100
}

{
  "property": "properties.category",
  "comparison": "EQUALS",
  "value": "electronics"
}

Event Metadata

Filter on built-in event fields:

{
  "property": "eventName",
  "comparison": "EQUALS",
  "value": "purchase_completed"
}

{
  "property": "userId",
  "comparison": "EQUALS",
  "value": "user_123"
}

{
  "property": "eventTs",
  "comparison": "GREATER_THAN",
  "value": "2024-01-01T00:00:00Z"
}

Nested Properties

Access nested object properties:

{
  "property": "properties.user.plan",
  "comparison": "EQUALS",
  "value": "premium"
}

{
  "property": "properties.product.details.color",
  "comparison": "EQUALS",
  "value": "blue"
}

Comparison Operators

Equality Operators

EQUALS

Exact match:

{
  "property": "properties.status",
  "comparison": "EQUALS",
  "value": "completed"
}

NOT_EQUALS

Not equal to:

{
  "property": "properties.device",
  "comparison": "NOT_EQUALS",
  "value": "mobile"
}

Numeric Operators

GREATER_THAN

Greater than (for numbers):

{
  "property": "properties.price",
  "comparison": "GREATER_THAN",
  "value": 100
}

LESS_THAN

Less than (for numbers):

{
  "property": "properties.duration",
  "comparison": "LESS_THAN",
  "value": 300
}

GREATER_THAN_OR_EQUALS

Greater than or equal to:

{
  "property": "properties.score",
  "comparison": "GREATER_THAN_OR_EQUALS",
  "value": 80
}

LESS_THAN_OR_EQUALS

Less than or equal to:

{
  "property": "properties.age",
  "comparison": "LESS_THAN_OR_EQUALS",
  "value": 65
}

String Operators

CONTAINS

String contains substring:

{
  "property": "properties.page",
  "comparison": "CONTAINS",
  "value": "/product"
}

NOT_CONTAINS

String does not contain substring:

{
  "property": "properties.referrer",
  "comparison": "NOT_CONTAINS",
  "value": "spam-site.com"
}

List Operators

IN

Value is in a list:

{
  "property": "properties.category",
  "comparison": "IN",
  "value": ["electronics", "books", "clothing"]
}

{
  "property": "userId",
  "comparison": "IN",
  "value": ["user_123", "user_456", "user_789"]
}

NOT_IN

Value is not in a list:

{
  "property": "properties.country",
  "comparison": "NOT_IN",
  "value": ["US", "CA", "GB"]
}

Complex Filter Examples

Multiple Filters

Combine multiple filters with AND logic:

{
  "event": "purchase_completed",
  "filterSet": [
    {
      "property": "properties.price",
      "comparison": "GREATER_THAN",
      "value": 100
    },
    {
      "property": "properties.category",
      "comparison": "EQUALS",
      "value": "electronics"
    },
    {
      "property": "properties.device",
      "comparison": "EQUALS",
      "value": "mobile"
    }
  ]
}

User Segmentation

Filter by user properties:

{
  "filterSet": [
    {
      "property": "properties.user.plan",
      "comparison": "EQUALS",
      "value": "premium"
    },
    {
      "property": "properties.user.signup_date",
      "comparison": "GREATER_THAN",
      "value": "2024-01-01"
    }
  ]
}

Geographic Filtering

Filter by location:

{
  "filterSet": [
    {
      "property": "properties.country",
      "comparison": "EQUALS",
      "value": "US"
    },
    {
      "property": "properties.state",
      "comparison": "IN",
      "value": ["CA", "NY", "TX"]
    }
  ]
}

Time-based Filtering

Filter by time ranges:

{
  "filterSet": [
    {
      "property": "eventTs",
      "comparison": "GREATER_THAN",
      "value": "2024-01-01T00:00:00Z"
    },
    {
      "property": "eventTs",
      "comparison": "LESS_THAN",
      "value": "2024-01-31T23:59:59Z"
    }
  ]
}

A/B Testing

Filter by experiment variants:

{
  "event": "conversion_completed",
  "filterSet": [
    {
      "property": "properties.experiment",
      "comparison": "EQUALS",
      "value": "homepage_hero"
    },
    {
      "property": "properties.variant",
      "comparison": "EQUALS",
      "value": "A"
    }
  ]
}

Data Type Handling

String Values

{
  "property": "properties.name",
  "comparison": "EQUALS",
  "value": "John Doe"
}

{
  "property": "properties.email",
  "comparison": "CONTAINS",
  "value": "@gmail.com"
}

Numeric Values

{
  "property": "properties.price",
  "comparison": "GREATER_THAN",
  "value": 99.99
}

{
  "property": "properties.quantity",
  "comparison": "EQUALS",
  "value": 5
}

Boolean Values

{
  "property": "properties.is_premium",
  "comparison": "EQUALS",
  "value": true
}

Array Values

{
  "property": "properties.tags",
  "comparison": "IN",
  "value": ["featured", "sale", "new"]
}

Null Values

{
  "property": "properties.optional_field",
  "comparison": "EQUALS",
  "value": null
}

Common Filter Patterns

E-commerce Filters

{
  "event": "purchase_completed",
  "filterSet": [
    {
      "property": "properties.price",
      "comparison": "GREATER_THAN",
      "value": 50
    },
    {
      "property": "properties.payment_method",
      "comparison": "EQUALS",
      "value": "credit_card"
    },
    {
      "property": "properties.shipping_country",
      "comparison": "NOT_IN",
      "value": ["XX", "YY"]
    }
  ]
}

User Engagement Filters

{
  "filterSet": [
    {
      "property": "properties.session_duration",
      "comparison": "GREATER_THAN",
      "value": 300
    },
    {
      "property": "properties.pages_viewed",
      "comparison": "GREATER_THAN_OR_EQUALS",
      "value": 5
    },
    {
      "property": "properties.bounce_rate",
      "comparison": "LESS_THAN",
      "value": 0.3
    }
  ]
}

Error Tracking Filters

{
  "event": "error_occurred",
  "filterSet": [
    {
      "property": "properties.error_type",
      "comparison": "EQUALS",
      "value": "javascript_error"
    },
    {
      "property": "properties.severity",
      "comparison": "IN",
      "value": ["high", "critical"]
    },
    {
      "property": "properties.page",
      "comparison": "NOT_CONTAINS",
      "value": "/admin"
    }
  ]
}

Feature Usage Filters

{
  "event": "feature_used",
  "filterSet": [
    {
      "property": "properties.feature_name",
      "comparison": "EQUALS",
      "value": "advanced_search"
    },
    {
      "property": "properties.user.plan",
      "comparison": "EQUALS",
      "value": "premium"
    },
    {
      "property": "properties.usage_count",
      "comparison": "GREATER_THAN",
      "value": 10
    }
  ]
}

Performance Tips

1. Use Specific Property Paths

Be specific with your property paths to avoid ambiguity:

// ✅ Good: Specific property path
{
  "property": "properties.user.plan",
  "comparison": "EQUALS",
  "value": "premium"
}

// ❌ Avoid: Ambiguous property path
{
  "property": "plan",
  "comparison": "EQUALS",
  "value": "premium"
}

2. Use Date Ranges

Always include date ranges to limit the data scanned:

{
  "after": "2024-01-01",
  "before": "2024-01-31",
  "filterSet": [
    {
      "property": "properties.price",
      "comparison": "GREATER_THAN",
      "value": 100
    }
  ]
}

3. Order Filters by Selectivity

Put the most selective filters first:

{
  "filterSet": [
    {
      "property": "userId",
      "comparison": "EQUALS",
      "value": "user_123"
    },
    {
      "property": "properties.category",
      "comparison": "EQUALS",
      "value": "electronics"
    },
    {
      "property": "properties.price",
      "comparison": "GREATER_THAN",
      "value": 100
    }
  ]
}

4. Use IN Instead of Multiple EQUALS

When filtering for multiple values, use IN instead of multiple EQUALS filters:

// ✅ Good: Single IN filter
{
  "property": "properties.category",
  "comparison": "IN",
  "value": ["electronics", "books", "clothing"]
}

// ❌ Avoid: Multiple EQUALS filters
{
  "filterSet": [
    { "property": "properties.category", "comparison": "EQUALS", "value": "electronics" },
    { "property": "properties.category", "comparison": "EQUALS", "value": "books" },
    { "property": "properties.category", "comparison": "EQUALS", "value": "clothing" }
  ]
}

Error Handling

Invalid Property Paths

{
  "error": "Invalid property path: 'invalid.property'"
}

Invalid Comparison Operators

{
  "error": "Invalid comparison operator: 'INVALID_OP'"
}

Type Mismatches

{
  "error": "Type mismatch: expected number, got string for property 'price'"
}

Handle Filter Errors

async function queryWithFilters(tenantId: string, apiKey: string, filters: any) {
  try {
    const response = await fetch(`https://queryapis.grainql.com/v1/api/query/${tenantId}`, {
      method: 'POST',
      headers: {
        'Content-Type': 'application/json',
        'X-API-Key': apiKey
      },
      body: JSON.stringify(filters)
    });

    if (!response.ok) {
      const error = await response.json();
      throw new Error(`Filter error: ${error.error}`);
    }

    return response.json();
  } catch (error) {
    console.error('Filter query failed:', error);
    throw error;
  }
}

Testing Filters

Validate Filter Syntax

function validateFilter(filter: any): boolean {
  if (!filter.property || !filter.comparison || filter.value === undefined) {
    return false;
  }

  const validComparisons = [
    'EQUALS', 'NOT_EQUALS', 'GREATER_THAN', 'LESS_THAN',
    'GREATER_THAN_OR_EQUALS', 'LESS_THAN_OR_EQUALS',
    'CONTAINS', 'NOT_CONTAINS', 'IN', 'NOT_IN'
  ];

  return validComparisons.includes(filter.comparison);
}

function validateFilters(filters: any[]): boolean {
  return filters.every(validateFilter);
}

Test Filter Results

async function testFilter(tenantId: string, apiKey: string, filter: any) {
  // Test with filter
  const filteredResponse = await fetch(`https://queryapis.grainql.com/v1/api/query/count/${tenantId}`, {
    method: 'POST',
    headers: { 'X-API-Key': apiKey },
    body: JSON.stringify({ filterSet: [filter] })
  });
  
  const filteredCount = (await filteredResponse.json()).count;
  
  // Test without filter
  const totalResponse = await fetch(`https://queryapis.grainql.com/v1/api/query/count/${tenantId}`, {
    method: 'POST',
    headers: { 'X-API-Key': apiKey },
    body: JSON.stringify({})
  });
  
  const totalCount = (await totalResponse.json()).count;
  
  console.log(`Filter: ${filter.property} ${filter.comparison} ${filter.value}`);
  console.log(`Filtered count: ${filteredCount}`);
  console.log(`Total count: ${totalCount}`);
  console.log(`Filter effectiveness: ${(filteredCount / totalCount * 100).toFixed(1)}%`);
}

Next Steps

Query Events

Learn how to query events with filters

Count Events

Get event counts for aggregations

List Events

Discover available event types

Custom Dashboard

Build a custom analytics dashboard

API Documentation

Query API

Documentation Index

​Overview

​Filter Structure

​Filter Fields

​Property Paths

​Event Properties

​Event Metadata

​Nested Properties

​Comparison Operators

​Equality Operators

​EQUALS

​NOT_EQUALS

​Numeric Operators

​GREATER_THAN

​LESS_THAN

​GREATER_THAN_OR_EQUALS

​LESS_THAN_OR_EQUALS

​String Operators

​CONTAINS

​NOT_CONTAINS

​List Operators

​IN

​NOT_IN

​Complex Filter Examples

​Multiple Filters

​User Segmentation

​Geographic Filtering

​Time-based Filtering

​A/B Testing

​Data Type Handling

​String Values

​Numeric Values

​Boolean Values

​Array Values

​Null Values

​Common Filter Patterns

​E-commerce Filters

​User Engagement Filters

​Error Tracking Filters

​Feature Usage Filters

​Performance Tips

​1. Use Specific Property Paths

​2. Use Date Ranges

​3. Order Filters by Selectivity

​4. Use IN Instead of Multiple EQUALS

​Error Handling

​Invalid Property Paths

​Invalid Comparison Operators

​Type Mismatches

​Handle Filter Errors

​Testing Filters

​Validate Filter Syntax

​Test Filter Results

​Next Steps