{"ok": true, "database": "tils", "table": "til", "rows": [{"path": "duckdb_parquet.md", "topic": "duckdb", "title": "Using DuckDB in Python to access Parquet data", "url": "https://github.com/simonw/til/blob/main/duckdb/parquet.md", "body": "Did a quick experiment with [DuckDB](https://duckdb.org/) today, inspired by the [bmschmidt/hathi-binary](https://github.com/bmschmidt/hathi-binary) repo.\n\nThat repo includes 3GB of data in 68 parquet files. Those files are 45MB each.\n\nDuckDB can run queries against Parquet data _really fast_.\n\nI checked out the repo like this:\n\n cd /tmp\n git clone https://github.com/bmschmidt/hathi-binary\n cd hathi-binary\n\nTo install it:\n\n pip install duckdb\n\nThen in a Python console:\n\n```pycon\n>>> import duckdb\n>>> db = duckdb.connect() # No need to pass a file name, we will use a VIEW\n>>> db.execute(\"CREATE VIEW hamming AS SELECT * FROM parquet_scan('parquet/*.parquet')\")\n\n>>> db.execute(\"select count(*) from hamming\").fetchall()\n[(17123746,)]\n>>> db.execute(\"select sum(A), sum(B), sum(C) from hamming\").fetchall()\n[(19478990546114240096822710, 16303362475198894881395004, 43191807707832192976154883)]\n```\nThere are 17,123,746 records in the 3GB of Parquet data.\n\nI switched to iPython so I could time a query. First I ran a query to see what a record looks like, using `.df().to_dict()` to convert the result into a DataFrame and then a Python dictionary:\n\n```\nIn [17]: db.execute(\"select * from hamming limit 1\").df().to_dict()\nOut[17]: \n{'htid': {0: 'uc1.b3209520'},\n 'A': {0: -3968610387004385723},\n 'B': {0: 7528965001168362882},\n 'C': {0: 5017761927246436345},\n 'D': {0: 2866021664979717155},\n 'E': {0: -8718458467632335109},\n 'F': {0: 3783827906913154091},\n 'G': {0: -883843087282811188},\n 'H': {0: 4045142741717613284},\n 'I': {0: -9144138405661797607},\n 'J': {0: 3285280333149952194},\n 'K': {0: -3352555231043531556},\n 'L': {0: 2071206943103704211},\n 'M': {0: -5859914591541496612},\n 'N': {0: -4209182319449999971},\n 'O': {0: 2040176595216801886},\n 'P': {0: 860910514658882647},\n 'Q': {0: 3505065119653024843},\n 'R': {0: -3110594979418944378},\n 'S': {0: -8591743965043807123},\n 'T': {0: -3262129165685658773}}\n```\nThen I timed an aggregate query using `%time`:\n```\nIn [18]: %time db.execute(\"select sum(A), sum(B), sum(C) from hamming\").fetchall()\nCPU times: user 1.13 s, sys: 488 ms, total: 1.62 s\nWall time: 206 ms\nOut[18]: \n[(19478990546114240096822710,\n 16303362475198894881395004,\n 43191807707832192976154883)]\n```\n206ms to sum three columns across 17 million records is pretty fast!", "html": "

Did a quick experiment with DuckDB today, inspired by the bmschmidt/hathi-binary repo.

\n

That repo includes 3GB of data in 68 parquet files. Those files are 45MB each.

\n

DuckDB can run queries against Parquet data really fast.

\n

I checked out the repo like this:

\n
cd /tmp\ngit clone https://github.com/bmschmidt/hathi-binary\ncd hathi-binary\n
\n

To install it:

\n
pip install duckdb\n
\n

Then in a Python console:

\n
>>> import duckdb\n>>> db = duckdb.connect() # No need to pass a file name, we will use a VIEW\n>>> db.execute(\"CREATE VIEW hamming AS SELECT * FROM parquet_scan('parquet/*.parquet')\")\n<duckdb.DuckDBPyConnection object at 0x110eab530>\n>>> db.execute(\"select count(*) from hamming\").fetchall()\n[(17123746,)]\n>>> db.execute(\"select sum(A), sum(B), sum(C) from hamming\").fetchall()\n[(19478990546114240096822710, 16303362475198894881395004, 43191807707832192976154883)]
\n

There are 17,123,746 records in the 3GB of Parquet data.

\n

I switched to iPython so I could time a query. First I ran a query to see what a record looks like, using .df().to_dict() to convert the result into a DataFrame and then a Python dictionary:

\n
In [17]: db.execute(\"select * from hamming limit 1\").df().to_dict()\nOut[17]: \n{'htid': {0: 'uc1.b3209520'},\n 'A': {0: -3968610387004385723},\n 'B': {0: 7528965001168362882},\n 'C': {0: 5017761927246436345},\n 'D': {0: 2866021664979717155},\n 'E': {0: -8718458467632335109},\n 'F': {0: 3783827906913154091},\n 'G': {0: -883843087282811188},\n 'H': {0: 4045142741717613284},\n 'I': {0: -9144138405661797607},\n 'J': {0: 3285280333149952194},\n 'K': {0: -3352555231043531556},\n 'L': {0: 2071206943103704211},\n 'M': {0: -5859914591541496612},\n 'N': {0: -4209182319449999971},\n 'O': {0: 2040176595216801886},\n 'P': {0: 860910514658882647},\n 'Q': {0: 3505065119653024843},\n 'R': {0: -3110594979418944378},\n 'S': {0: -8591743965043807123},\n 'T': {0: -3262129165685658773}}\n
\n

Then I timed an aggregate query using %time:

\n
In [18]: %time db.execute(\"select sum(A), sum(B), sum(C) from hamming\").fetchall()\nCPU times: user 1.13 s, sys: 488 ms, total: 1.62 s\nWall time: 206 ms\nOut[18]: \n[(19478990546114240096822710,\n  16303362475198894881395004,\n  43191807707832192976154883)]\n
\n

206ms to sum three columns across 17 million records is pretty fast!

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"}, "created": "2022-09-16T19:47:28-07:00", "created_utc": "2022-09-17T02:47:28+00:00", "updated": "2022-09-16T19:47:28-07:00", "updated_utc": "2022-09-17T02:47:28+00:00", "shot_hash": "d353e1d0386aa26d77be763d6400c173", "slug": "parquet"}], "primary_keys": ["path"], "primary_key_values": ["duckdb_parquet.md"], "query_ms": 1.952819999132771, "truncated": false}