saisrirampur

4 ms·

1.
Postgres 19: What's new in monitoring?(clickhouse.com)
2 points by saisrirampur 5d ago|0 comments
2.
Show HN: Pg_chdb, fast imports from object storage to Postgres using COPY(clickhouse.com)
4 points by saisrirampur 7d ago|0 comments
3.
by saisrirampur 9d ago
Right, it takes some effort, but it’s worth it for the benefits of sub-second latency and reduced operational overhead. We expect the WAL format for existing commands to remain relatively stable across Postgres versions, while newer command
4.
by saisrirampur 9d ago
WalShadow requires direct access to the physical WAL, and most managed Postgres providers don't allow that. It works with ClickHouse Managed Postgres or self-hosted Postgres. I talk about this in the blog: Physical WAL is key to WalSha
5.
by saisrirampur 10d ago
Ack, thank you! The idea was to minimize the operational overhead of logical replication (slot growth, slowdowns from reorder buffering, handling advance schema changes) and reducing load on Postgres. This approach lets us purpose-build rep
6.
WalShadow: Sub-second Postgres replication to ClickHouse from physical WAL(clickhouse.com)
4 points by saisrirampur 12d ago|0 comments
7.
by saisrirampur 14d ago
Most Citus workloads were 10s of TB with largest at around a few PB or so. Heap was a couple PB, back then, if I remember correctly. It is a brilliant piece of technology that supported mission critical workloads across mid/late stage
8.
by saisrirampur 14d ago
Sai from ClickHouse here, I lead the Postgres efforts at ClickHouse. Expect news from us on this soon! Many of us here are ex-Citus and have done this for Postgres before.
9.
Chdb Postgres extension: Faster COPY from cloud storage(clickhouse.com)
2 points by saisrirampur 17d ago|0 comments
10.
Chdb Postgres extension: High-performance imports from cloud storage(clickhouse.com)
1 points by saisrirampur 18d ago|0 comments
11.
Postgres 19 makes more of its internals observable(clickhouse.com)
1 points by saisrirampur 23d ago|0 comments
12.
Postgres 19: Monitoring only gets better(clickhouse.com)
2 points by saisrirampur 24d ago|0 comments
13.
Protecting Postgres from everything that isn't Postgres(clickhouse.com)
2 points by saisrirampur 26d ago|0 comments
14.
Postgres 19: What's new in monitoring?(clickhouse.com)
1 points by saisrirampur 29d ago|0 comments
15.
Huge Pages Can Improve PostgreSQL Performance(clickhouse.com)
1 points by saisrirampur 1mo ago|0 comments
16.
Postgres 19: What's new in Monitoring?(clickhouse.com)
3 points by saisrirampur 1mo ago|0 comments
17.
Budgeting resources in a Managed Postgres service(clickhouse.com)
2 points by saisrirampur 1mo ago|0 comments
18.
When Postgres Isn't the Process That Kills Your Database(clickhouse.com)
2 points by saisrirampur 1mo ago|1 comments
19.
What's New with Monitoring in PostgreSQL 19(clickhouse.com)
3 points by saisrirampur 1mo ago|0 comments
20.
by saisrirampur 1mo ago
Totally agree. Postgres core should include connection pooling by default, and PgBouncer is probably the natural path to get there. With PgBouncer addressing one of its biggest historical pain points - prepared statement support in transact
21.
Hurricane Hits Big Island, Hawaii(nhc.noaa.gov)
6 points by saisrirampur 1mo ago|0 comments
22.
Tropical Storm Lala forecast to bring hurricane conditions to Hawaii Saturday(hawaiinewsnow.com)
1 points by saisrirampur 1mo ago|0 comments
23.
Understanding WAL Backpressure in Postgres(clickhouse.com)
1 points by saisrirampur 1mo ago|0 comments
24.
pg_clickhouse v0.10: Subquery pushdown and 1000x faster TPC-H queries(clickhouse.com)
65 points by saisrirampur 2mo ago|7 comments
25.
What is WAL backpressure, and why does ClickHouse Managed Postgres need it?(clickhouse.com)
2 points by saisrirampur 2mo ago|0 comments
26.
Pg_stat_ch: PostgreSQL Query Telemetry Exporter to ClickHouse(github.com)
1 points by saisrirampur 2mo ago|0 comments
27.
Why we configure huge pages in ClickHouse Managed Postgres(clickhouse.com)
3 points by saisrirampur 2mo ago|0 comments
28.
Why strict memory overcommit matters for Postgres(clickhouse.com)
1 points by saisrirampur 2mo ago|0 comments
29.
Two sizes fit most: Postgres and ClickHouse(clickhouse.com)
1 points by saisrirampur 2mo ago|0 comments
30.
Engineering around WAL backpressure in Postgres(clickhouse.com)
2 points by saisrirampur 2mo ago|0 comments

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