How to achieve (1000 tx 1000 reads each)/sec on single client

panghy · May 21, 2020, 11:24pm

BTW, in many non-critical (write-then-read) use cases, we re-use the same transaction (obv same read version) and recycle them every second. That way you also get some local caching too (if you’re really reading the same keys, even ranges, all the time).

Java but you get the idea:

github.com

wavefrontHQ/foundationdb-utils/blob/master/src/main/java/com/wavefront/fdb/utils/BatchReader.java

package com.wavefront.fdb.utils;

import com.apple.foundationdb.*;
import com.apple.foundationdb.async.AsyncIterable;

import javax.annotation.Nonnull;
import javax.annotation.Nullable;
import java.util.List;
import java.util.concurrent.CompletableFuture;
import java.util.concurrent.ConcurrentHashMap;
import java.util.concurrent.ConcurrentMap;
import java.util.concurrent.atomic.AtomicBoolean;
import java.util.concurrent.atomic.AtomicInteger;
import java.util.concurrent.atomic.AtomicLong;
import java.util.concurrent.atomic.AtomicReference;
import java.util.concurrent.locks.ReentrantReadWriteLock;
import java.util.function.BiFunction;
import java.util.function.Function;

/**

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How to achieve (1000 tx 1000 reads each)/sec on single client

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