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sqlite-parquet-vtable
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A SQLite vtable extension to read Parquet files
62 Commits 2 Branches 0 Tags 570 KiB
C++ 55.8%
PLpgSQL 22.2%
Python 11.2%
Shell 10.8%
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Colin Dellow 893e4c63f5 Add testcase generator 
Very simplistics - select M fields, filters on N fields, slight bias to
use values of same type of the field it's comparing against.

No segfaults yet, but one test case that generates differing output when
run against `nulls` and `nulls1`:

```
select rowid from nulls1 where binary_9 >= '56' and ts_5 < 496886400000;
```
 		2018-03-18 19:11:26 -04:00
parquet Make rowid start from 1, not 0 2018-03-18 17:03:46 -04:00
parquet-generator Also compare queries against SQLite itself 2018-03-18 17:49:12 -04:00
tests Add testcase generator 2018-03-18 19:11:26 -04:00
.gitignore Also compare queries against SQLite itself 2018-03-18 17:49:12 -04:00
LICENSE Initial commit 2018-03-02 18:37:08 -05:00
README.md Note about 64-bit sqlite 2018-03-18 18:25:08 -04:00
build-sqlite Add script to fetch+build sqlite 2018-03-02 18:46:40 -05:00

README.md

sqlite-parquet-vtable

A SQLite virtual table extension to expose Parquet files as SQL tables.

Caveats

I'm not an experienced C/C++ programmer. This library is definitely not bombproof. It's good enough for my use case, and may be good enough for yours, too.

  • I don't use sqlite3_malloc and sqlite3_free for C++ objects
    • Maybe this doesn't matter, since portability isn't a goal
  • The C -> C++ interop definitely leaks some C++ exceptions
    • Obvious cases like file not found and unsupported Parquet types are OK
    • Low memory conditions aren't handled gracefully.

Building

  1. Install parquet-cpp
    1. Master appears to be broken for text row group stats; see https://github.com/cldellow/sqlite-parquet-vtable/issues/5 for which versions to use
  2. Run ./build-sqlite to fetch and build the SQLite dev bits
  3. Run ./parquet/make to build the module
    1. You will need to fixup the paths in this file to point at your local parquet-cpp folder.

Tests

Run:

tests/create-queries-from-templates
tests/test-all

Use

$ sqlite/sqlite3
sqlite> .load parquet/libparquet
sqlite> CREATE VIRTUAL TABLE demo USING parquet('parquet-generator/99-rows-1.parquet');
sqlite> SELECT * FROM demo;
...if all goes well, you'll see data here!...

Note: if you get an error like:

sqlite> .load parquet/libparquet
Error: parquet/libparquet.so: wrong ELF class: ELFCLASS64

You have the 32-bit SQLite installed. To fix this, do:

sudo apt-get remove --purge sqlite3
sudo apt-get install sqlite3:amd64

Supported features

Row group filtering

Row group filtering is supported for strings and numerics so long as the SQLite type matches the Parquet type.

e.g. if you have a column foo that is an INT32, this query will skip row groups whose statistics prove that it does not contain relevant rows:

SELECT * FROM tbl WHERE foo = 123;

but this query will devolve to a table scan:

SELECT * FROM tbl WHERE foo = '123';

This is laziness on my part and could be fixed without too much effort.

Row filtering

For common constraints, the row is checked to see if it satisfies the query's constraints before returning control to SQLite's virtual machine. This minimizes the number of allocations performed when many rows are filtered out by the user's criteria.

Types

These Parquet types are supported:

  • INT96 timestamps (exposed as milliseconds since the epoch)
  • INT8/INT16/INT32/INT64
  • UTF8 strings
  • BOOLEAN
  • FLOAT
  • DOUBLE
  • Variable- and fixed-length byte arrays

These are not currently supported:

  • UINT8/UINT16/UINT32/UINT64
  • DECIMAL