ybdemo
Lab environment for YugabyteDB demos (by FranckPachot)
yugabyte-db
YugabyteDB - the cloud native distributed SQL database for mission-critical applications. (by yugabyte)
Our great sponsors
ybdemo | yugabyte-db | |
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17 | 87 | |
15 | 8,471 | |
- | 1.1% | |
6.6 | 10.0 | |
4 months ago | 2 days ago | |
Shell | C | |
Apache License 2.0 | GNU General Public License v3.0 or later |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
ybdemo
Posts with mentions or reviews of ybdemo.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-11-07.
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B-Tree vs. LSM-Tree: measuring the write amplification on Oracle Database and YugabyteDB
As I did with Oracle, I can run a single insert and look at the statistics from explain analyze and my ybwr:
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In-Memory counters with YugabyteDB
I've also updated my YugabyteDB Lab with Grafana for this scenario, running:
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Scalable Job Queue in SQL (YugabyteDB)
I check, with my ybwr.sql script, that reading one row from the job_fanout view reads from one table only:
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Flashback query in YugabyteDB
Here is a quick test using my ybwr on this demo table which has 3 tablets across 3 nodes.
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Gitpod with YugabyteDB image
If you want to play with a multi-node, as you need multiple network interfaces, it is better not to use this image but start YugabyteDB nodes in docker, as I do in my ybdemo:
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EXPLAIN from pg_stat_statements normalized queries: how to always get the generic plan in 🐘&🚀
@franckpachot
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find the partition key with a local read in 🚀 YugabyteDB geo-partitioned tables
I've used this docker-compose
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PITR snapshot: an easy flashback / backtrack for application releases
I'm starting a RF=3 cluster on my laptop using my ybdemo/docker/yb-lab/ and I set two aliases, ysqlsh, for SQL commands, and yb-admin, for snapshot commands:
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Nested Loop performance in YugabyteDB
I also load my ybwr.sql to show the number of rocksdb seek() and next() in the tservers:
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"I want to try it" 🚀 YugabyteDB at KubeCon
Now that you know how to scale out, just with the --join option of yugabyted, you can build your docker-compose file. For example, to replace PostgreSQL in a Docker Compose used for tests, I use the same variables as the PostgreSQL image - example here. And yugabyted is convenient for quick start, but you can have more control by starting all components like I do when I demo high availability and elasticity: https://github.com/FranckPachot/ybdemo/tree/main/docker/yb-lab
yugabyte-db
Posts with mentions or reviews of yugabyte-db.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-01-02.
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Best Practice: use the same datatypes for comparisons, like joins and foreign keys
It is possible to apply Batched Nested Loop but with additional code that checks the range of the outer bigint and compare it only if it matches the range of integer. This has been added in YugabyteDB 2.21 with #20715 YSQL: Allow BNL on joins over different integer types to help migrations from PostgreSQL with such datatype inconsistencies.
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Jonathan Katz: Thoughts on PostgreSQL in 2024
It can be done like https://github.com/yugabyte/yugabyte-db/ has.
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Is co-partition or interleave necessary in Distributed SQL?
Therefore, interleaving or co-partitioning is probably not necessary, and would reduce agility and scalability more than improving the performance. Unless you have a good reason for it that you can share on Issue #79. But, first, test and tune the queries to see if you need something else.
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PostGIS on YugabyteDB Alma8 (workarounds)
This is a workaround, not supported. I've opened the following issue to get it solve in the YugabyteDB deployment: https://github.com/yugabyte/yugabyte-db/issues/19389
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Bitmap Scan in YugabyteDB
Note that there may still be a need for bitmaps, especially with disjunctions (OR) as the following is about conjunction (AND), and it can still be implemented, differently than PostgreSQL. This is tracked by #4634.
- Yugabyte – distributed PostgreSQL, 100% open source
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PL/Python on YugabyteDB
FROM almalinux:8 as build RUN dnf -y update &&\ dnf groupinstall -y 'Development Tools' # get YugabyteDB sources ARG YB_TAG=2.18 RUN git clone --branch ${YB_TAG} https://github.com/yugabyte/yugabyte-db.git WORKDIR yugabyte-db # install dependencies and compilation tools RUN dnf install -y https://dl.fedoraproject.org/pub/epel/epel-release-latest-8.noarch.rpm RUN dnf -y install epel-release libatomic rsync python3-devel cmake3 java-1.8.0-openjdk maven npm golang gcc-toolset-12 gcc-toolset-12-libatomic-devel patchelf glibc-langpack-en ccache vim wget python3.11-devel python3.11-pip clang ncurses-devel readline-devel libsqlite3x-devel RUN mkdir /opt/yb-build RUN chown "$USER" /opt/yb-build # Install Python 3 RUN alternatives --remove-all python3 RUN alternatives --remove-all python RUN alternatives --install /usr/bin/python python /usr/bin/python3.11 3 RUN alternatives --install /usr/bin/python3 python3 /usr/bin/python3.11 3 # add #include "pg_yb_utils.h" to src/postgres/src/pl/plpython/plpy_procedure.c RUN sed -e '/#include "postgres.h"/a#include "pg_yb_utils.h"' -i src/postgres/src/pl/plpython/plpy_procedure.c # if using python > 3.9 remove #include and #include from src/postgres/src/pl/plpython/plpython.h RUN sed -e '/#include /d' -e '/#include /d' -i src/postgres/src/pl/plpython/plpython.h # add '--with-python', to python/yugabyte/build_postgres.py under the configure_postgres method RUN sed -e "/'\.\/configure',/a\ '--with-python'," -i python/yugabyte/build_postgres.py # Build and package the release RUN YB_CCACHE_DIR="$HOME/.cache/yb_ccache" ./yb_build.sh -j$(nproc) --clean-all --build-yugabyted-ui --no-linuxbrew --clang15 -f release RUN chmod +x bin/get_clients.sh bin/parse_contention.py bin/yb-check-consistency.py RUN YB_USE_LINUXBREW=0 ./yb_release --force WORKDIR / RUN mv /yugabyte-db/build/yugabyte*.tar.gz /yugabyte.tgz
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YugabyteDB official Dockerfile
You have seen me using the official YugabyteDB Docker image extensively. This image is suitable for various purposes, including labs, development, testing, and even production. In the past, we used to create it internally due to its seamless integration with our build process. However, some companies prefer to construct the image on their own, which is indeed a commendable practice. After all, it's not advisable to run random images with root privileges on your servers. As a result, we have made a significant alteration by introducing a refined Dockerfile to our Github repository.
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FlameGraphs on Steroids with profiler.firefox.com
Of course, I can guess from the function names, but YugabyteDB is Open Source and I can search for them. What happens here is that I didn't declare a Primary Key for my table and then an internal one (ybctid) is generated, because secondary indexes need a key to address the table row. This ID generation calls /dev/urandom. I made this simple example to show that low-level traces can give a clue about high level data model problems.
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Understand what you run before publishing your (silly) benchmark results
To show that it is not difficut to understand what you run, when in a PostgreSQL-compatible database, I'll look at the HammerDB benchmark connected to YugabyteDB. HammerDB has no specific code for it but YugabyteDB is PostgreSQL-compatible (it uses PostgreSQL code on top of distributed storage and transaction).