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pingcap
tispark
Scala2017–2019
pingcap / tispark · Archived

tispark

TiSpark is built for running Apache Spark on top of TiDB/TiKV

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4Distinct people
4Mentions
0Explicit recommenders
890GitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

TiSpark is built for running Apache Spark on top of TiDB/TiKV

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 12:54:37 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by month4 dated mentions

Observed mentions: 2017-08-04 02:44:50 UTC to 2019-12-25 11:29:56 UTC.

012017-08-01 00:00:00 UTC to 2017-09-01 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 commentsAug 20172017-09-01 00:00:00 UTC to 2017-10-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2017-10-01 00:00:00 UTC to 2017-11-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2017-11-01 00:00:00 UTC to 2017-12-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2017-12-01 00:00:00 UTC to 2018-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2018-01-01 00:00:00 UTC to 2018-02-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2018-02-01 00:00:00 UTC to 2018-03-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2018-03-01 00:00:00 UTC to 2018-04-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2018-04-01 00:00:00 UTC to 2018-05-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2018-05-01 00:00:00 UTC to 2018-06-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2018-06-01 00:00:00 UTC to 2018-07-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2018-07-01 00:00:00 UTC to 2018-08-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2018-08-01 00:00:00 UTC to 2018-09-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2018-09-01 00:00:00 UTC to 2018-10-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2018-10-01 00:00:00 UTC to 2018-11-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 commentsOct 20182018-11-01 00:00:00 UTC to 2018-12-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2018-12-01 00:00:00 UTC to 2019-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2019-01-01 00:00:00 UTC to 2019-02-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2019-02-01 00:00:00 UTC to 2019-03-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2019-03-01 00:00:00 UTC to 2019-04-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2019-04-01 00:00:00 UTC to 2019-05-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2019-05-01 00:00:00 UTC to 2019-06-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2019-06-01 00:00:00 UTC to 2019-07-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2019-07-01 00:00:00 UTC to 2019-08-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2019-08-01 00:00:00 UTC to 2019-09-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2019-09-01 00:00:00 UTC to 2019-10-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2019-10-01 00:00:00 UTC to 2019-11-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2019-11-01 00:00:00 UTC to 2019-12-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2019-12-01 00:00:00 UTC to 2020-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsDec 2019

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
Aug 20172017-08-01 00:00:00 UTC2017-09-01 00:00:00 UTC110
Sep 20172017-09-01 00:00:00 UTC2017-10-01 00:00:00 UTC000
Oct 20172017-10-01 00:00:00 UTC2017-11-01 00:00:00 UTC101
Nov 20172017-11-01 00:00:00 UTC2017-12-01 00:00:00 UTC000
Dec 20172017-12-01 00:00:00 UTC2018-01-01 00:00:00 UTC000
Jan 20182018-01-01 00:00:00 UTC2018-02-01 00:00:00 UTC000
Feb 20182018-02-01 00:00:00 UTC2018-03-01 00:00:00 UTC000
Mar 20182018-03-01 00:00:00 UTC2018-04-01 00:00:00 UTC000
Apr 20182018-04-01 00:00:00 UTC2018-05-01 00:00:00 UTC000
May 20182018-05-01 00:00:00 UTC2018-06-01 00:00:00 UTC101
Jun 20182018-06-01 00:00:00 UTC2018-07-01 00:00:00 UTC000
Jul 20182018-07-01 00:00:00 UTC2018-08-01 00:00:00 UTC000
Aug 20182018-08-01 00:00:00 UTC2018-09-01 00:00:00 UTC000
Sep 20182018-09-01 00:00:00 UTC2018-10-01 00:00:00 UTC000
Oct 20182018-10-01 00:00:00 UTC2018-11-01 00:00:00 UTC000
Nov 20182018-11-01 00:00:00 UTC2018-12-01 00:00:00 UTC000
Dec 20182018-12-01 00:00:00 UTC2019-01-01 00:00:00 UTC000
Jan 20192019-01-01 00:00:00 UTC2019-02-01 00:00:00 UTC000
Feb 20192019-02-01 00:00:00 UTC2019-03-01 00:00:00 UTC000
Mar 20192019-03-01 00:00:00 UTC2019-04-01 00:00:00 UTC000
Apr 20192019-04-01 00:00:00 UTC2019-05-01 00:00:00 UTC000
May 20192019-05-01 00:00:00 UTC2019-06-01 00:00:00 UTC000
Jun 20192019-06-01 00:00:00 UTC2019-07-01 00:00:00 UTC000
Jul 20192019-07-01 00:00:00 UTC2019-08-01 00:00:00 UTC000
Aug 20192019-08-01 00:00:00 UTC2019-09-01 00:00:00 UTC000
Sep 20192019-09-01 00:00:00 UTC2019-10-01 00:00:00 UTC000
Oct 20192019-10-01 00:00:00 UTC2019-11-01 00:00:00 UTC000
Nov 20192019-11-01 00:00:00 UTC2019-12-01 00:00:00 UTC000
Dec 20192019-12-01 00:00:00 UTC2020-01-01 00:00:00 UTC101

What Hacker News says

4 sources
dongxu·Dec 25, 2019
PingCAP CTO here, thanks for these comments! We highly appreciate all the feedback! First, it’s true that the current setup/deployment of TiDB is not easy. This is something that we're making serious moves to improve. For example, A. We provide Ansible playbooks to simplify the deployment and rolling upgrade for on-prem users; B. We built and open-sourced TiDB Operator (https://github.com/pingcap/tidb-operator) to enable TiDB on Kubernetes. We are working on a fully managed service in the public cloud (coming soon). Whether it is one binary or multiple binaries, it’ll be all transparent at the user level; C. We are improving the default or self-adaptative parameters and are continuously refining the configuration process; D. We are also trying to reduce the number of components. For example, the new version of CDC is implemented directly
Read the rest
inside TiKV. E. We are developing TiOps tools in a single binary to improve the operating and maintaining experience of the cluster. A fair amount of customers around the world are using TiDB in their production environments and we are making sure they get our help when needed in the setup so it would not be a deal-breaker. Second, TiDB’s multiple-component or highly-layered architecture is challenging for deployment but the benefits are also obvious: A. The separation of the storage and computing layers makes it flexible and agile to scale/upgrade each layer as needed. Different layers need different types or different number of hardware resources. If the computing resources become the bottleneck, users can scale the SQL layer by adding more TiDB instances in real-time; if the bottleneck is the storage layer, they can easily add more TiKV instances to increase the storage capacity. B. As is known to many that we have donated TiKV to CNCF last year. We are fully committed to the open-source community and would like to see TiKV be the building block and foundation of the next-generation infrastructure. For example, we are happy to see some community users sit Redis on top of TiKV, and we ourselves built the TiSpark (https://github.com/pingcap/tispark) connector to run Apache Spark on TiKV. For more thoughts about this, please take a look at my blog: https://pingcap.com/blog/9-whys-to-ask-when-evaluating-a-dis... Feel free to give more feedback on https://github.com/pingcap/tidb and our community Slack channel https://pingcap.com/tidbslack. We're glad to discuss more with you on this issue!
In How We Achieved 40K QPS and 20B Rows of Data in a Single Scale-Out Cluster
shenli3514·Oct 18, 2017
There are some key differences between TiDB and Cockroach. 1. User interface and eco-system Despite that TiDB and CockroachDB both support SQL, TiDB is compatible with MySQL protocol while Cockroach chooses PostgreSQL. You can directly connect to TiDB server with any MySQL client. 2. Architecture The whole TiDB project is logically divided into two parts: the stateless SQL layer (TiDB) and distributed storage layer (TiKV). As TiDB is built on top of TiKV, developers have the freedom to choose to use TiDB or TiKV, depending on their own business. If you only want a distributed Key-Value database, you can just use TiKV alone for higher performance and lower latency. In a word, our system is highly-layered and modularized while CockroachDB is a P2P system. The design of our system results in the fact that we use two programming languages: G
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o for TiDB and Rust for TiKV to improve the storage performance. And benefit by the highly-layered architecture, we build another project[1] to run Apache Spark to on top of TiDB/TiKV to answer the complex OLAP queries. It takes advantages of both the Spark platform and the distributed TiKV cluster. 3. Transaction model Even though CockroachDB and TiDB both support ACID transaction, TiDB uses a model introduced by Google’s Percolator. The key feature of this model is that it needs an independent timestamp allocator. Like Spanner, each transaction in TiDB will have a timestamp to isolate different transactions. The model that CockroachDB uses is similar to the TrueTime API that Google described in its paper. However, unlike Google, CockroachDB didn’t build the atomic clocks and GPS receivers to keep the time consistent across different data centers. Instead, it uses NTP for clock synchronization, which leads to the problem of uncertain errors. To solve this problem, CockroachDB adapts the Hybrid Logical Clocks (HLC) algorithm. 4. Programming Language TiDB uses Go for the SQL layer and Rust for the storage engine layer. As Go has a Garbage Collector (GC) and runtime, we think it will cost us days to tune the performance. Therefore, we use Rust, a static language, for TiKV. Its performance is much better. CockroachDB only uses Go. [1] Spark on TiKV: https://github.com/pingcap/tispark
In TiDB – a global scale distributed DB

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