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ParquetMetadata

Description​

Special format for reading Parquet file metadata (https://parquet.apache.org/docs/file-format/metadata/). It always outputs one row with the next structure/content:

  • num_columns - the number of columns
  • ``num_rows` - the total number of rows
  • num_row_groups - the total number of row groups
  • format_version - parquet format version, always 1.0 or 2.6
  • total_uncompressed_size - total uncompressed bytes size of the data, calculated as the sum of total_byte_size from all row groups
  • total_compressed_size - total compressed bytes size of the data, calculated as the sum of total_compressed_size from all row groups
  • columns - the list of columns metadata with the next structure:
    • name - column name
    • path - column path (differs from name for nested column)
    • max_definition_level - maximum definition level
    • max_repetition_level - maximum repetition level
    • physical_type - column physical type
    • logical_type - column logical type
    • compression - compression used for this column
    • total_uncompressed_size - total uncompressed bytes size of the column, calculated as the sum of total_uncompressed_size of the column from all row groups
    • total_compressed_size - total compressed bytes size of the column, calculated as the sum of total_compressed_size of the column from all row groups
    • space_saved - percent of space saved by compression, calculated as (1 - total_compressed_size/total_uncompressed_size).
    • encodings - the list of encodings used for this column
  • row_groups - the list of row groups metadata with the next structure:
    • num_columns - the number of columns in the row group
    • num_rows - the number of rows in the row group
    • total_uncompressed_size - total uncompressed bytes size of the row group
    • total_compressed_size - total compressed bytes size of the row group
    • columns - the list of column chunks metadata with the next structure:
      • name - column name
      • path - column path
      • total_compressed_size - total compressed bytes size of the column
      • total_uncompressed_size - total uncompressed bytes size of the row group
      • have_statistics - boolean flag that indicates if column chunk metadata contains column statistics
      • statistics - column chunk statistics (all fields are NULL if have_statistics = false) with the next structure:
        • num_values - the number of non-null values in the column chunk
        • null_count - the number of NULL values in the column chunk
        • distinct_count - the number of distinct values in the column chunk
        • min - the minimum value of the column chunk
        • max - the maximum column of the column chunk

Example Usage​

Example:

SELECT * 
FROM file(data.parquet, ParquetMetadata) 
FORMAT PrettyJSONEachRow
{
    "num_columns": "2",
    "num_rows": "100000",
    "num_row_groups": "2",
    "format_version": "2.6",
    "metadata_size": "577",
    "total_uncompressed_size": "282436",
    "total_compressed_size": "26633",
    "columns": [
        {
            "name": "number",
            "path": "number",
            "max_definition_level": "0",
            "max_repetition_level": "0",
            "physical_type": "INT32",
            "logical_type": "Int(bitWidth=16, isSigned=false)",
            "compression": "LZ4",
            "total_uncompressed_size": "133321",
            "total_compressed_size": "13293",
            "space_saved": "90.03%",
            "encodings": [
                "RLE_DICTIONARY",
                "PLAIN",
                "RLE"
            ]
        },
        {
            "name": "concat('Hello', toString(modulo(number, 1000)))",
            "path": "concat('Hello', toString(modulo(number, 1000)))",
            "max_definition_level": "0",
            "max_repetition_level": "0",
            "physical_type": "BYTE_ARRAY",
            "logical_type": "None",
            "compression": "LZ4",
            "total_uncompressed_size": "149115",
            "total_compressed_size": "13340",
            "space_saved": "91.05%",
            "encodings": [
                "RLE_DICTIONARY",
                "PLAIN",
                "RLE"
            ]
        }
    ],
    "row_groups": [
        {
            "num_columns": "2",
            "num_rows": "65409",
            "total_uncompressed_size": "179809",
            "total_compressed_size": "14163",
            "columns": [
                {
                    "name": "number",
                    "path": "number",
                    "total_compressed_size": "7070",
                    "total_uncompressed_size": "85956",
                    "have_statistics": true,
                    "statistics": {
                        "num_values": "65409",
                        "null_count": "0",
                        "distinct_count": null,
                        "min": "0",
                        "max": "999"
                    }
                },
                {
                    "name": "concat('Hello', toString(modulo(number, 1000)))",
                    "path": "concat('Hello', toString(modulo(number, 1000)))",
                    "total_compressed_size": "7093",
                    "total_uncompressed_size": "93853",
                    "have_statistics": true,
                    "statistics": {
                        "num_values": "65409",
                        "null_count": "0",
                        "distinct_count": null,
                        "min": "Hello0",
                        "max": "Hello999"
                    }
                }
            ]
        },
        ...
    ]
}