|author||Sijie Guo <firstname.lastname@example.org>||Wed Nov 29 23:30:32 2017 -0800|
|committer||Sijie Guo <email@example.com>||Wed Nov 29 23:30:32 2017 -0800|
Make distributedlog compiled with latest bookkeeper version Descriptions of the changes in this PR: There are code changes on PendingReadOp for new bookkeeper api in current master. DistributedLog uses PendingReadOp for some administration tools. So the current master doesn't compile with the latest bookkeeper version. This code change is to fix that. The change here includes: - bump bk to 4.7.0-SNAPSHOT (will switch to 4.6.0 after it is released) - change to use the latest CompletableFuture in latest PendingReadOp. (this change doesn't target at making distributedlog work with new API) Author: Sijie Guo <firstname.lastname@example.org> Reviewers: Jia Zhai <None> This closes #240 from sijie/sijie/use_new_ledger_api
Apache DistributedLog (DL) is a high-throughput, low-latency replicated log service, offering durability, replication and strong consistency as essentials for building reliable real-time applications.
Apache DistributedLog project graduated from Incubator at July 2017. It is now a sub-project of Apache BookKeeper.
DL is able to provide milliseconds latency on durable writes with a large number of concurrent logs, and handle high volume reads and writes per second from thousands of clients.
Messages are persisted on disk and replicated to store multiple copies to prevent data loss. They are guaranteed to be consistent among writers and readers in terms of strict ordering.
DL provides an efficient service layer that is optimized for running in a multi- tenant datacenter environment such as Mesos or Yarn. The service layer is able to support large scale writes (fan-in) and reads (fan-out).
DL supports various workloads from latency-sensitive online transaction processing (OLTP) applications (e.g. WAL for distributed database and in-memory replicated state machines), real-time stream ingestion and computing, to analytical processing.
To support a large number of logs for multi-tenants, DL is designed for I/O isolation in real-world workloads.
DL has a modern layered architecture design, which separates the stateless service tier from the stateful storage tier. To support large scale writes (fan- in) and reads (fan-out), DL allows scaling storage independent of scaling CPU and memory.
For filing bugs, suggesting improvements, or requesting new features, help us out by opening a jira.
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See docs/README.md on how to build the documentation.
Apache DistributedLog is an open source project of The Apache Software Foundation (ASF). The Apache DistributedLog project originated from Twitter.