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Dell PowerStore: MongoDB Solution Guide
Executive summary Introduction Considerations Preparing PowerStore appliance for MongoDB deployment MongoDB installation and configuration Data reduction study of PowerStore and MongoDB Test methodology and results
Overview
Loading data with YCSB
Data ingestion rate
Data reduction savings
Data ingestion time
MongoDB system resources consumption
Conclusion
Data protection References

Data ingestion time

Home > Storage > PowerStore > Databases and Data Analytics > Dell PowerStore: MongoDB Solution Guide > Data ingestion time

Data ingestion time

  • Using YCSB, 200 million documents are inserted into the database using different compression algorithms. Figure 12 compares the total data ingestion time of these compression algorithms.

    With zlib and zstd compression algorithms, the time spent writing the dataset to the database is longer than using the default snappy compression or no compression. The zstd algorithm appears to perform better than the zlib algorithm as it achieved a similar reduction saving but shorter ingestion time.

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    Figure 12.    Data load time comparison