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Signed-off-by: Jeremy Parr-Pearson <jeremy.parr-pearson@improving.com>
Signed-off-by: Jeremy Parr-Pearson <jeremy.parr-pearson@improving.com>
Signed-off-by: Jeremy Parr-Pearson <jeremy.parr-pearson@improving.com>
Signed-off-by: Jeremy Parr-Pearson <jeremy.parr-pearson@improving.com>
Signed-off-by: Jeremy Parr-Pearson <jeremy.parr-pearson@improving.com>
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Signed-off-by: Jeremy Parr-Pearson <jeremy.parr-pearson@improving.com>
Signed-off-by: Jeremy Parr-Pearson <jeremy.parr-pearson@improving.com>
Signed-off-by: Jeremy Parr-Pearson <jeremy.parr-pearson@improving.com>
Signed-off-by: Jeremy Parr-Pearson <jeremy.parr-pearson@improving.com>
Signed-off-by: Jeremy Parr-Pearson <jeremy.parr-pearson@improving.com>
ikolomi
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Signed-off-by: Jeremy Parr-Pearson <jeremy.parr-pearson@improving.com>
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Summary
Adds performance tests for direct client usage as well as within spring-data-valkey. See README for usage instructions.
Observations
Direct GLIDE usage is 2-3x slower than Lettuce and Jedis. However, at higher concurrency it is comparable. The real issue is that within spring-data-valkey it is 5-10x slower than Lettuce and Jedis, even when using multiple threads.
Updating the GLIDE connection factory to use a shared client will help, but there are likely other optimizations needed for GLIDE to match the performance of Lettuce or Jedis in spring-data-valkey.