parquet_show_bloom_filter/
parquet-show-bloom-filter.rs1use clap::Parser;
37use parquet::file::{
38 properties::ReaderProperties,
39 reader::{FileReader, SerializedFileReader},
40 serialized_reader::ReadOptionsBuilder,
41};
42use std::{fs::File, path::Path};
43
44#[derive(Debug, Parser)]
45#[clap(author, version, about("Binary file to read bloom filter data from a Parquet file"), long_about = None)]
46struct Args {
47 #[clap(help("Path to the parquet file"))]
48 file_name: String,
49 #[clap(help("Check the bloom filter indexes for the given column"))]
50 column: String,
51 #[clap(
52 help(
53 "Check if the given values match bloom filter, the values will be evaluated as strings"
54 ),
55 required = true
56 )]
57 values: Vec<String>,
58}
59
60fn main() {
61 let args = Args::parse();
62 let file_name = args.file_name;
63 let path = Path::new(&file_name);
64 let file = File::open(path).expect("Unable to open file");
65
66 let file_reader = SerializedFileReader::new_with_options(
67 file,
68 ReadOptionsBuilder::new()
69 .with_reader_properties(
70 ReaderProperties::builder()
71 .set_read_bloom_filter(true)
72 .build(),
73 )
74 .build(),
75 )
76 .expect("Unable to open file as Parquet");
77 let metadata = file_reader.metadata();
78 for (ri, row_group) in metadata.row_groups().iter().enumerate() {
79 println!("Row group #{ri}");
80 println!("{}", "=".repeat(80));
81 if let Some((column_index, _)) = row_group
82 .columns()
83 .iter()
84 .enumerate()
85 .find(|(_, column)| column.column_path().string() == args.column)
86 {
87 let row_group_reader = file_reader
88 .get_row_group(ri)
89 .expect("Unable to read row group");
90 if let Some(sbbf) = row_group_reader.get_column_bloom_filter(column_index) {
91 args.values.iter().for_each(|value| {
92 println!(
93 "Value {} is {} in bloom filter",
94 value,
95 if sbbf.check(&value.as_str()) {
96 "present"
97 } else {
98 "absent"
99 }
100 )
101 });
102 } else {
103 println!("No bloom filter found for column {}", args.column);
104 }
105 } else {
106 println!(
107 "No column named {} found, candidate columns are: {}",
108 args.column,
109 row_group
110 .columns()
111 .iter()
112 .map(|c| c.column_path().string())
113 .collect::<Vec<_>>()
114 .join(", ")
115 );
116 }
117 }
118}