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9270346825
This change adds functionality to write and read parquet::Statistics for Decimal, String, and Timestamp values. As an exception, we don't read statistics for CHAR columns, since CHAR support is broken in Impala (IMPALA-1652). This change also switches from using the deprecated fields 'min' and 'max' to populate the new fields 'min_value' and 'max_value' in parquet::Statistics, that were added in parquet-format pull request #46. The HdfsParquetScanner will preferably read the new fields if they are populated and if the column order 'TypeDefinedOrder' has been used to compute the statistics. For columns without a column order set or with only the deprecated fields populated, the scanner will read them only if they are of simple numeric type, i.e. boolean, integer, or floating point. This change removes the validation of the Parquet Statistics we write to Hive from the tests, since Hive does not write the new fields. Instead it adds a parquet file written by Hive that uses the deprecated fields for its statistics. It uses that file to exercise the fallback logic for supported types in a test. This change also cleans up the interface of ParquetPlainEncoder in parquet-common.h. Change-Id: I3ef4a5d25a57c82577fd498d6d1c4297ecf39312 Reviewed-on: http://gerrit.cloudera.org:8080/6563 Reviewed-by: Lars Volker <lv@cloudera.com> Tested-by: Lars Volker <lv@cloudera.com>
109 lines
3.8 KiB
Plaintext
109 lines
3.8 KiB
Plaintext
bad_parquet_data.parquet:
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Generated with parquet-mr 1.2.5
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Contains 3 single-column rows:
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"parquet"
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"is"
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"fun"
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bad_rle_literal_count.parquet:
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Generated by hacking Impala's Parquet writer.
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Contains a single bigint column 'c' with the values 1, 3, 7 stored
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in a single data chunk as dictionary plain. The RLE encoded dictionary
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indexes are all literals (and not repeated), but the literal count
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is incorrectly 0 in the file to test that such data corruption is
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proprly handled.
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bad_rle_repeat_count.parquet:
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Generated by hacking Impala's Parquet writer.
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Contains a single bigint column 'c' with the value 7 repeated 7 times
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stored in a single data chunk as dictionary plain. The RLE encoded dictionary
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indexes are a single repeated run (and not literals), but the repeat count
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is incorrectly 0 in the file to test that such data corruption is proprly
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handled.
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zero_rows_zero_row_groups.parquet:
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Generated by hacking Impala's Parquet writer.
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The file metadata indicates zero rows and no row groups.
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zero_rows_one_row_group.parquet:
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Generated by hacking Impala's Parquet writer.
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The file metadata indicates zero rows but one row group.
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huge_num_rows.parquet
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Generated by hacking Impala's Parquet writer.
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The file metadata indicates 2 * MAX_INT32 rows.
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The single row group also has the same number of rows in the metadata.
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repeated_values.parquet:
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Generated with parquet-mr 1.2.5
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Contains 3 single-column rows:
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"parquet"
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"parquet"
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"parquet"
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multiple_rowgroups.parquet:
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Generated with parquet-mr 1.2.5
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Populated with:
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hive> set parquet.block.size=500;
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hive> INSERT INTO TABLE tbl
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SELECT l_comment FROM tpch.lineitem LIMIT 1000;
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alltypesagg_hive_13_1.parquet:
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Generated with parquet-mr version 1.5.0-cdh5.4.0-SNAPSHOT
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hive> create table alltypesagg_hive_13_1 stored as parquet as select * from alltypesagg;
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bad_column_metadata.parquet:
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Generated with hacked version of parquet-mr 1.8.2-SNAPSHOT
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Schema:
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{"type": "record",
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"namespace": "org.apache.impala",
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"name": "bad_column_metadata",
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"fields": [
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{"name": "id", "type": ["null", "long"]},
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{"name": "int_array", "type": ["null", {"type": "array", "items": ["null", "int"]}]}
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]
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}
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Contains 3 row groups, each with ten rows and each array containing ten elements. The
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first rowgroup column metadata for 'int_array' incorrectly states there are 50 values
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(instead of 100), and the second rowgroup column metadata for 'id' incorrectly states
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there are 11 values (instead of 10). The third rowgroup has the correct metadata.
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data-bzip2.bz2:
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Generated with bzip2, contains single bzip2 stream
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Contains 1 column, uncompressed data size < 8M
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large_bzip2.bz2:
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Generated with bzip2, contains single bzip2 stream
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Contains 1 column, uncompressed data size > 8M
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data-pbzip2.bz2:
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Generated with pbzip2, contains multiple bzip2 streams
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Contains 1 column, uncompressed data size < 8M
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large_pbzip2.bz2:
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Generated with pbzip2, contains multiple bzip2 stream
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Contains 1 column, uncompressed data size > 8M
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out_of_range_timestamp.parquet:
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Generated with a hacked version of Impala parquet writer.
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Contains a single timestamp column with 4 values, 2 of which are out of range
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and should be read as NULL by Impala:
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1399-12-31 00:00:00 (invalid - date too small)
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1400-01-01 00:00:00
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9999-12-31 00:00:00
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10000-01-01 00:00:00 (invalid - date too large)
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table_with_header.csv:
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Created with a text editor, contains a header line before the data rows.
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table_with_header_2.csv:
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Created with a text editor, contains two header lines before the data rows.
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table_with_header.gz, table_with_header_2.gz:
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Generated by gzip'ing table_with_header.csv and table_with_header_2.csv.
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deprecated_statistics.parquet:
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Generated with with hive shell, which uses parquet-mr version 1.5.0-cdh5.12.0-SNAPSHOT
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Contains a copy of the data in functional.alltypessmall with statistics that use the old
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'min'/'max' fields.
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