Data Analysis

Parquet Bloom Filter ZoneMap Dictionary and Column Statistics Pruner Evaluator

Decode a Parquet thrift footer and quantify predicate-pushdown pruning: zone-map min/max, split-block bloom filters (XXH64), dictionary ratios and encodings, with per-row-group prune-savings estimates for example WHERE clauses.

html· HTML resultOpen tool

Quick start

Call this tool from your code in three languages.

cURL

# 1) Request a presigned URL → returns { uploadUrl, storageKey }
curl -X POST 'http://127.0.0.1:3003/api/upload/presign/parquet-bloom-filter-zonemap-dictionary-and-column-statistics-pruner-evaluator' \
  -H 'Content-Type: application/json' \
  -d '{"filename":"parquetFile.ext","contentType":"application/octet-stream","size":12345}'

# 2) PUT the file bytes directly to the presigned uploadUrl
curl -X PUT '<presigned uploadUrl>' \
  --data-binary @/path/to/file.ext

# 3) Call the tool, passing the returned storageKey for each file field
curl -X POST 'http://127.0.0.1:3003/en/api/tools/parquet-bloom-filter-zonemap-dictionary-and-column-statistics-pruner-evaluator' \
  -F 'parquetFile=uploads/2026/01/01/your-tool-1700000000000-abc123.ext' \
  -F 'predicates=id = 75
id > 60
name = 'zeta''

API reference

Send a POST request with your inputs as JSON. File parameters require a separate upload first.

Endpoint

HTTP

POST http://127.0.0.1:3003/en/api/tools/parquet-bloom-filter-zonemap-dictionary-and-column-statistics-pruner-evaluator

Parameters

Name	Type	Required	Description
parquetFile	fileupload required	Yes	—
predicates	textarea	No	—

File-type parameters must be uploaded first via POST /upload/parquet-bloom-filter-zonemap-dictionary-and-column-statistics-pruner-evaluator, then the returned filePath is passed to the corresponding file field.

Response format

HTML result

JSON

{
  "result": "<div>Processed HTML content</div>",
  "error": "Error message (optional)",
  "message": "Notification message (optional)",
  "metadata": {
    "key": "value"
  }
}

MCP integration

Add this tool to your Model Context Protocol server so AI agents can list and call it.

Server configuration

Add this block to your MCP client configuration:

mcp.json

{
  "mcpServers": {
    "elysiatools-parquet-bloom-filter-zonemap-dictionary-and-column-statistics-pruner-evaluator": {
      "name": "parquet-bloom-filter-zonemap-dictionary-and-column-statistics-pruner-evaluator",
      "description": "Decode a Parquet thrift footer and quantify predicate-pushdown pruning: zone-map min/max, split-block bloom filters (XXH64), dictionary ratios and encodings, with per-row-group prune-savings estimates for example WHERE clauses.",
      "baseUrl": "http://127.0.0.1:3003/mcp/sse?toolId=parquet-bloom-filter-zonemap-dictionary-and-column-statistics-pruner-evaluator",
      "command": "",
      "args": [],
      "env": {},
      "isActive": true,
      "type": "sse"
    }
  }
}

List available tools

After connecting to the SSE endpoint, list the exposed tools:

tools/list

{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/list"
}

Call this tool

Invoke the tool by its id, passing arguments built from its parameters:

tools/call

{
  "jsonrpc": "2.0",
  "id": 2,
  "method": "tools/call",
  "params": {
    "name": "parquet-bloom-filter-zonemap-dictionary-and-column-statistics-pruner-evaluator",
    "arguments": {
  "parquetFile": "https://example.com/file.ext",
  "predicates": "id = 75\nid > 60\nname = 'zeta'"
}
  }
}

Chain multiple tools in one session with a comma-separated toolId list, e.g. /mcp/sse?toolId=png-to-webp,jpg-to-webp,gif-to-webp (max 20).

File parameters accept a public file URL only (https://…). Local paths, data: URIs, and Base64 strings are not supported.

Questions or issues? Contact [email protected]