Niels Basjes created PARQUET-423:
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Summary: Make writing Avro to Parquet less noisy
Key: PARQUET-423
URL: https://issues.apache.org/jira/browse/PARQUET-423
Project: Parquet
Issue Type: Improvement
Components: parquet-avro
Affects Versions: 1.8.0
Reporter: Niels Basjes
Priority: Minor
When writing Avro files to disk using the AvroParquetWriter for each column in
the file some statistics are written to the Logging system.
When writing files based on a large Avro schema often the output of this
logging is no longer useful and becomes a hassle.
Because the logging level is hardcoded (why?) into the parquet library I would
like to introduce a switch that allows to enable/disable this type of logging.
{code}
Jan 12, 2016 1:43:00 PM INFO:
org.apache.parquet.hadoop.ColumnChunkPageWriteStore: written 90B for
[IPAddress] BINARY: 60 values, 26B raw, 47B comp, 1 pages, encodings:
[RLE_DICTIONARY, PLAIN], dic { 7 entries, 77B raw, 7B comp}
Jan 12, 2016 1:43:00 PM INFO:
org.apache.parquet.hadoop.ColumnChunkPageWriteStore: written 102B for [country]
BINARY: 60 values, 26B raw, 47B comp, 1 pages, encodings: [RLE_DICTIONARY,
PLAIN], dic { 7 entries, 119B raw, 7B comp}
Jan 12, 2016 1:43:00 PM INFO:
org.apache.parquet.hadoop.ColumnChunkPageWriteStore: written 152B for
[windowid] BINARY: 60 values, 33B raw, 51B comp, 1 pages, encodings:
[RLE_DICTIONARY, PLAIN], dic { 12 entries, 480B raw, 12B comp}
Jan 12, 2016 1:43:00 PM INFO:
org.apache.parquet.hadoop.ColumnChunkPageWriteStore: written 77B for
[customerId] BINARY: 58 values, 22B raw, 42B comp, 1 pages, encodings:
[RLE_DICTIONARY, PLAIN], dic { 7 entries, 49B raw, 7B comp}
Jan 12, 2016 1:43:00 PM INFO:
org.apache.parquet.hadoop.ColumnChunkPageWriteStore: written 86B for
[sessionId] BINARY: 58 values, 28B raw, 43B comp, 1 pages, encodings:
[RLE_DICTIONARY, PLAIN], dic { 10 entries, 110B raw, 10B comp}
Jan 12, 2016 1:43:00 PM INFO:
org.apache.parquet.hadoop.ColumnChunkPageWriteStore: written 93B for
[sessionEventNr] INT64: 58 values, 34B raw, 48B comp, 1 pages, encodings:
[RLE_DICTIONARY, PLAIN], dic { 14 entries, 112B raw, 14B comp}
Jan 12, 2016 1:43:00 PM INFO:
org.apache.parquet.hadoop.ColumnChunkPageWriteStore: written 114B for [visitId]
BINARY: 58 values, 28B raw, 43B comp, 1 pages, encodings: [RLE_DICTIONARY,
PLAIN], dic { 10 entries, 250B raw, 10B comp}
Jan 12, 2016 1:43:00 PM INFO:
org.apache.parquet.hadoop.ColumnChunkPageWriteStore: written 90B for
[visitEventNr] INT64: 58 values, 34B raw, 45B comp, 1 pages, encodings:
[RLE_DICTIONARY, PLAIN], dic { 11 entries, 88B raw, 11B comp}
Jan 12, 2016 1:43:00 PM INFO:
org.apache.parquet.hadoop.ColumnChunkPageWriteStore: written 112B for
[timestamp] INT64: 58 values, 50B raw, 66B comp, 1 pages, encodings:
[RLE_DICTIONARY, PLAIN], dic { 46 entries, 368B raw, 46B comp}
Jan 12, 2016 1:43:00 PM INFO:
org.apache.parquet.hadoop.ColumnChunkPageWriteStore: written 85B for
[IPAddress] BINARY: 58 values, 22B raw, 42B comp, 1 pages, encodings:
[RLE_DICTIONARY, PLAIN], dic { 7 entries, 77B raw, 7B comp}
Jan 12, 2016 1:43:00 PM INFO:
org.apache.parquet.hadoop.ColumnChunkPageWriteStore: written 97B for [country]
BINARY: 58 values, 22B raw, 42B comp, 1 pages, encodings: [RLE_DICTIONARY,
PLAIN], dic { 7 entries, 119B raw, 7B comp}
Jan 12, 2016 1:43:00 PM INFO:
org.apache.parquet.hadoop.ColumnChunkPageWriteStore: written 144B for
[windowid] BINARY: 58 values, 28B raw, 43B comp, 1 pages, encodings:
[RLE_DICTIONARY, PLAIN], dic { 10 entries, 400B raw, 10B comp}
{code}
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