以下是一个使用Elasticsearch的Python客户端（elasticsearch-py）来实现按多个字段聚合并统计前10个问题和答案数量的代码示例：

from elasticsearch import Elasticsearch

# 创建一个Elasticsearch客户端
es = Elasticsearch()

# 聚合查询
aggs_query = {
    "size": 0,
    "aggs": {
        "top_questions": {
            "terms": {
                "field": "question.keyword",
                "size": 10
            },
            "aggs": {
                "top_answers": {
                    "terms": {
                        "field": "answer.keyword",
                        "size": 10
                    }
                }
            }
        }
    }
}

# 执行聚合查询
result = es.search(index="your_index_name", body=aggs_query)

# 解析结果
top_questions = result["aggregations"]["top_questions"]["buckets"]

# 遍历每个问题
for question in top_questions:
    question_text = question["key"]
    question_count = question["doc_count"]
    
    # 打印问题和数量
    print("Question: {} (Count: {})".format(question_text, question_count))
    
    # 遍历每个答案
    top_answers = question["top_answers"]["buckets"]
    for answer in top_answers:
        answer_text = answer["key"]
        answer_count = answer["doc_count"]
        
        # 打印答案和数量
        print("  Answer: {} (Count: {})".format(answer_text, answer_count))

请注意替换your_index_name为您实际使用的索引名称。此代码将按问题和答案字段聚合数据，并打印每个问题和答案的数量。您可以根据需要自行修改代码来适应您的需求。