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June 7, 2022 19:45
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| import contextlib | |
| import time | |
| import coiled | |
| import dask | |
| import dask.dataframe as dd | |
| import distributed | |
| import pandas | |
| from dask.datasets import timeseries | |
| @contextlib.contextmanager | |
| def timer(label="Block"): | |
| """ | |
| Time a block of code and print out the result when done. | |
| """ | |
| start = time.time() | |
| yield | |
| end = time.time() | |
| print(f"**{label}** took **{end-start:.2f}** seconds") | |
| new = "2022.5.2" | |
| coiled.create_software_environment( | |
| f"parquet-{new.replace('.', '-')}", | |
| conda={ | |
| "channels": ["conda-forge"], | |
| "dependencies": [ | |
| "python=3.9", | |
| f"dask=={new}", | |
| f"distributed=={new}", | |
| "s3fs>=2022.5.0", | |
| "pyarrow=7", | |
| "fastparquet=0.8.1", | |
| ], | |
| }, | |
| ) | |
| kind = new | |
| with coiled.Cluster( | |
| name=f"parquet-{kind.replace('.', '-')}", | |
| software=f"parquet-{kind.replace('.', '-')}", | |
| n_workers=500, | |
| worker_vm_types=["t3.2xlarge"], | |
| scheduler_vm_types=["t3.2xlarge"], | |
| backend_options={"region": "us-east-1"}, | |
| ) as cluster: | |
| with distributed.Client(cluster) as client: | |
| WRITE_INITIAL_DATA = False | |
| if WRITE_INITIAL_DATA: | |
| ddf = timeseries( | |
| dtypes={ | |
| **{f"name-{i}": str for i in range(50)}, | |
| **{f"price-{i}": float for i in range(50)}, | |
| **{f"id-{i}": int for i in range(50)}, | |
| **{f"cat-{i}": "category" for i in range(50)}, | |
| }, | |
| start="2002-01-01", | |
| end="2022-01-01", | |
| freq="10ms", | |
| partition_freq="1H", | |
| ) | |
| print(ddf.npartitions) | |
| with timer("Writing 35TB of data"): | |
| s = ddf.to_parquet( | |
| "s3://oss-shared-scratch/parquet-terabytes/", | |
| engine="pyarrow", | |
| write_metadata_file=False, | |
| ) | |
| client.restart() | |
| with timer("ETL 35TB"), dask.annotate(retries=5): | |
| ddf2 = dd.read_parquet( | |
| "s3://oss-shared-scratch/parquet-terabytes/", | |
| engine="pyarrow", | |
| ) | |
| ddf3 = ddf2.assign(date=pandas.Timestamp.now()) | |
| ddf3.to_parquet( | |
| "s3://oss-shared-scratch/parquet-terabytes-transform/", | |
| engine="pyarrow", | |
| write_metadata_file=False, | |
| ) |
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