zhuqi-lucas commented on code in PR #16395:
URL: https://github.com/apache/datafusion/pull/16395#discussion_r2144937636


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datafusion-examples/examples/embedding_parquet_indexes.rs:
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@@ -0,0 +1,243 @@
+// Licensed to the Apache Software Foundation (ASF) under one
+// or more contributor license agreements.  See the NOTICE file
+// distributed with this work for additional information
+// regarding copyright ownership.  The ASF licenses this file
+// to you under the Apache License, Version 2.0 (the
+// "License"); you may not use this file except in compliance
+// with the License.  You may obtain a copy of the License at
+//
+//   http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing,
+// software distributed under the License is distributed on an
+// "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+// KIND, either express or implied.  See the License for the
+// specific language governing permissions and limitations
+// under the License.
+
+//! Example: embedding a "distinct values" index in a Parquet file's metadata
+//!
+//! 1. Read existing Parquet files
+//! 2. Compute distinct values for a target column using DataFusion
+//! 3. Serialize the distinct index to bytes and write to the new Parquet file
+//!    with these encoded bytes appended as a custom metadata entry
+//! 4. Read each new parquet file, extract and deserialize the index from 
footer
+//! 5. Use the distinct index to prune files when querying
+
+use arrow::array::{ArrayRef, StringArray};
+use arrow::record_batch::RecordBatch;
+use arrow_schema::{DataType, Field, Schema, SchemaRef};
+use async_trait::async_trait;
+use base64::engine::general_purpose;
+use base64::Engine;
+use datafusion::catalog::{Session, TableProvider};
+use datafusion::common::{HashMap, HashSet, Result};
+use datafusion::datasource::listing::PartitionedFile;
+use datafusion::datasource::memory::DataSourceExec;
+use datafusion::datasource::physical_plan::{FileScanConfigBuilder, 
ParquetSource};
+use datafusion::datasource::TableType;
+use datafusion::execution::object_store::ObjectStoreUrl;
+use datafusion::logical_expr::{Operator, TableProviderFilterPushDown};
+use datafusion::parquet::arrow::ArrowWriter;
+use datafusion::parquet::file::metadata::KeyValue;
+use datafusion::parquet::file::properties::WriterProperties;
+use datafusion::parquet::file::reader::{FileReader, SerializedFileReader};
+use datafusion::physical_plan::ExecutionPlan;
+use datafusion::prelude::*;
+use datafusion::scalar::ScalarValue;
+use std::fs::{create_dir_all, read_dir, File};
+use std::path::{Path, PathBuf};
+use std::sync::Arc;
+use tempfile::TempDir;
+
+/// Example creating parquet file that
+/// contains specialized indexes that
+/// are ignored by other readers
+///
+/// ```text
+///         ┌──────────────────────┐
+///         │┌───────────────────┐ │
+///         ││     DataPage      │ │      Standard Parquet
+///         │└───────────────────┘ │      Data / pages
+///         │┌───────────────────┐ │
+///         ││     DataPage      │ │
+///         │└───────────────────┘ │
+///         │        ...           │
+///         │                      │
+///         │┌───────────────────┐ │
+///         ││     DataPage      │ │
+///         │└───────────────────┘ │
+///         │┏━━━━━━━━━━━━━━━━━━━┓ │
+///         │┃                   ┃ │        key/value metadata
+///         │┃   Special Index   ┃◀┼────    that points at the
+///         │┃                   ┃ │     │  special index
+///         │┗━━━━━━━━━━━━━━━━━━━┛ │
+///         │╔═══════════════════╗ │     │
+///         │║                   ║ │
+///         │║  Parquet Footer   ║ │     │  Footer includes
+///         │║                   ║ ┼──────  thrift-encoded
+///         │║                   ║ │        ParquetMetadata
+///         │╚═══════════════════╝ │
+///         └──────────────────────┘
+///
+///               Parquet File
+/// ```
+/// DistinctIndexTable is a custom TableProvider that reads Parquet files
+#[derive(Debug)]
+struct DistinctIndexTable {
+    schema: SchemaRef,
+    index: HashMap<String, HashSet<String>>,
+    dir: PathBuf,
+}
+
+impl DistinctIndexTable {
+    /// Scan a directory, read each file's footer metadata into a map
+    fn try_new(dir: impl Into<PathBuf>, schema: SchemaRef) -> Result<Self> {
+        let dir = dir.into();
+        let mut index = HashMap::new();
+        for entry in read_dir(&dir)? {
+            let p = entry?.path();
+            if p.extension().and_then(|s| s.to_str()) != Some("parquet") {
+                continue;
+            }
+            let name = p.file_name().unwrap().to_string_lossy().into_owned();
+            let reader = SerializedFileReader::new(File::open(&p)?)?;
+            if let Some(kv) = 
reader.metadata().file_metadata().key_value_metadata() {
+                if let Some(e) = kv.iter().find(|kv| kv.key == 
"distinct_index_data") {
+                    let raw = general_purpose::STANDARD_NO_PAD
+                        .decode(e.value.as_deref().unwrap())
+                        .unwrap();
+                    let s = String::from_utf8(raw).unwrap();
+                    let set = s.lines().map(|l| l.to_string()).collect();
+                    println!("Inserting  File: {name}, Distinct Values: 
{set:?}");
+                    index.insert(name, set);
+                }
+            }
+        }
+        Ok(Self { schema, index, dir })
+    }
+}
+
+// Write a Parquet file and embed its distinct "category" values in footer 
metadata
+fn write_file_with_index(path: &Path, values: &[&str]) -> Result<()> {
+    let field = Field::new("category", DataType::Utf8, false);
+    let schema = Arc::new(Schema::new(vec![field.clone()]));
+    let arr: ArrayRef = Arc::new(StringArray::from(values.to_vec()));
+    let batch = RecordBatch::try_new(schema.clone(), vec![arr])?;
+
+    // Compute distinct values, serialize & Base64‑encode
+    let distinct: HashSet<_> = values.iter().copied().collect();
+    let serialized = distinct.iter().cloned().collect::<Vec<_>>().join("\n");
+    let b64 = general_purpose::STANDARD_NO_PAD.encode(serialized.as_bytes());

Review Comment:
   Very good point @alamb! Thank you.
   
   I will try to find a better solution, i agree the following downsides.
   
   > This has at least 2 downsides
   > 
   > 1. The footer metadata will be much larger / longer to parse
   > 2. A binary index must be converted to/from strings (as you are doing here 
with b64)



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