Hi Uwe,

I'm quite confused by the findings, Im attaching a bunch of files
corresponding to the version and library generating the files.

On the first topic of DELTA_BINARY_PACKED. It seems it's something not well
supported on the Java side as well or my implementation is off, but I just
copied over the "CsvParquetWriter.java". I created a sample encoder based
on parquet-mr and it seems if dictionary is used, it falls back to PLAIN
instead of DELTA when the dict gets too big. Regardless what I do I can't
make it use DELTA for the attached schema.

In terms of size difference I see the issue in the resulting metadata, but
not the root cause. You will see the code is identical with just the
addition of version="2.0". This results in changing the output file
metadata from "ENC:PLAIN_DICTIONARY,PLAIN,RLE" to "ENC:RLE,PLAIN" hence
increasing the size quite substantially.

Let me know if there's anything else I can provide to help debug this one.
The second part is not critical since I can just use v1 for now, but good
to figure out why the output changes. The first part is a bit more pressing
for me since I really want to assess the difference between RLE and
DELTA_BINARY_PACKED on monotonically increasing values like a timestamp,
ticking at a constant rate.

On Sun, May 13, 2018 at 11:58 AM, Uwe L. Korn <uw...@xhochy.com> wrote:

> Hello Feras,
>
> `DELTA_BINARY_PACKED` is at the moment only implemented in parquet-cpp on
> the read path. The necessary encoder implementation for this code is
> missing at the moment.
>
> The change in file size is something I also don't understand. The only
> difference between the two versions is that with version 2, we encode
> uint32 columns in version 1 as INT64 whereas in version two, we can encode
> them as UINT32. This type was not available in version 1. It would be nice,
> if you could narrow down the issue to e.g. the column which causes the
> increase in size. You might also use the Java parquet-tools or parquet-cli
> to inspect the size statistics of the parts of the individual Parquet file.
>
> Uwe
>
> On Fri, May 11, 2018, at 3:07 AM, Feras Salim wrote:
> > Hi, I was wondering if I'm missing something or currently the
> > `DELTA_BINARY_PACKED` is only available for reading when it comes to
> > parquet files, I can't find a way for the writer to encode timestamp data
> > with `DELTA_BINARY_PACKED`, furthermore I seem to get about 10% increase
> in
> > final file size when I change from ver 1 to ver 2 without changing
> anything
> > else about the schema or data.
>
file:        file:/Users/feras/Desktop/SPY_nodict_java.parquet
creator:     parquet-mr version 1.10.0 (build 
031a6654009e3b82020012a18434c582bd74c73a)

file schema: m
--------------------------------------------------------------------------------
date:        REQUIRED INT64 O:TIMESTAMP_MILLIS R:0 D:0
type:        REQUIRED BINARY R:0 D:0
ticker:      REQUIRED BINARY R:0 D:0
price:       REQUIRED INT32 R:0 D:0
size:        REQUIRED INT32 R:0 D:0
exchange:    REQUIRED BINARY R:0 D:0
conditions:  REQUIRED BINARY R:0 D:0

row group 1: RC:2340100 TS:134648137 OFFSET:4
--------------------------------------------------------------------------------
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--------------------------------------------------------------------------------
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--------------------------------------------------------------------------------
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row group 4: RC:2340100 TS:134625251 OFFSET:403786901
--------------------------------------------------------------------------------
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row group 5: RC:2340100 TS:134609900 OFFSET:538412152
--------------------------------------------------------------------------------
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row group 6: RC:863879 TS:49763046 OFFSET:673022052
--------------------------------------------------------------------------------
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file:           file:/Users/feras/Desktop/SPY.gz.v2.parquet
creator:        parquet-cpp version 1.4.0
extra:          pandas = {"index_columns": ["Date_Timestamp"], 
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{"name": "Conditions", "pandas_type": "categorical", "metadata": {"ordered": 
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"Conditions"}, {"name": "Date_Timestamp", "pandas_type": "datetime", 
"metadata": null, "numpy_type": "datetime64[ns]", "field_name": 
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file schema:    schema
--------------------------------------------------------------------------------
EventType:      OPTIONAL BINARY O:UTF8 R:0 D:1
Price:          OPTIONAL DOUBLE R:0 D:1
Quantity:       OPTIONAL INT32 R:0 D:1
Exchange:       OPTIONAL BINARY O:UTF8 R:0 D:1
Conditions:     OPTIONAL BINARY O:UTF8 R:0 D:1
Date_Timestamp: OPTIONAL INT64 O:TIMESTAMP_MILLIS R:0 D:1

row group 1:    RC:12564380 TS:26780923 OFFSET:4
--------------------------------------------------------------------------------
EventType:       BINARY GZIP DO:0 FPO:4 SZ:1958899/168054889/85.79 VC:12564380 
ENC:RLE,PLAIN
Price:           DOUBLE GZIP DO:0 FPO:1958976 SZ:2803854/100520415/35.85 
VC:12564380 ENC:RLE,PLAIN
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VC:12564380 ENC:RLE,PLAIN
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VC:12564380 ENC:RLE,PLAIN
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VC:12564380 ENC:RLE,PLAIN
file:           file:/Users/feras/Desktop/SPY.gz.v1.parquet
creator:        parquet-cpp version 1.4.0
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file schema:    schema
--------------------------------------------------------------------------------
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Quantity:       OPTIONAL INT32 R:0 D:1
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Conditions:     OPTIONAL BINARY O:UTF8 R:0 D:1
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row group 1:    RC:12564380 TS:22128787 OFFSET:4
--------------------------------------------------------------------------------
EventType:       BINARY GZIP DO:4 FPO:93 SZ:1037494/4727557/4.56 VC:12564380 
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VC:12564380 ENC:PLAIN_DICTIONARY,PLAIN,RLE
file:        file:/Users/feras/Desktop/SPY_dict_java.parquet
creator:     parquet-mr version 1.10.0 (build 
031a6654009e3b82020012a18434c582bd74c73a)

file schema: m
--------------------------------------------------------------------------------
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row group 1: RC:2340100 TS:134648137 OFFSET:4
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