How to index data in Sphinx from files and database both?
I don’t know how often someone comes across a situation where data needs to be indexed from both a database and files within a single search index. One of our clients faced this exact challenge. They wanted content from files and related data stored in a database to be searchable together using Sphinx Search.
Sphinx provides a native feature to import data from files using xmlpipe as a data source, but it does not offer a built-in way to combine data from both databases and files at the same time.
The solution to this problem was straightforward. We suggested writing a PHP or shell-based pre-indexing script. This script reads files from disk and dumps their content into a MySQL table. That table is then used as a standard data source during indexing.
Once the index process is complete, the temporary table can be safely truncated using a `TRUNCATE TABLE` query configured in `sql_query_post_index`.
The main challenge was handling a large number of files efficiently and dumping their contents into MySQL. Several optimizations helped improve performance and scalability. The first was delta indexing, so only newly added or updated content was processed and indexed. Delta indexing is a built-in feature of Sphinx Search and significantly reduces indexing overhead.
Additional performance improvements can be achieved by optimizing the file-reading process and, in some cases, moving file directories to a memory-based filesystem to further improve indexing speed.
While this approach worked well with Sphinx in the past, modern search architectures typically rely on distributed search platforms such as Elasticsearch to natively handle multiple data sources, large-scale ingestion, and near real-time indexing.