Articles by ChistaDATA Inc.

About ChistaDATA Inc.

We are an full-stack ClickHouse infrastructure operations Consulting, Support and Managed Services provider with core expertise in performance, scalability and data SRE. Based out of California, Our consulting and support engineering team operates out of San Francisco, Vancouver, London, Germany, Russia, Ukraine, Australia, Singapore and India to deliver 24*7 enterprise-class consultative support and managed services. We operate very closely with some of the largest and planet-scale internet properties like PayPal, Garmin, Honda cars IoT project, Viacom, National Geographic, Nike, Morgan Stanley, American Express Travel, VISA, Netflix, PRADA, Blue Dart, Carlsberg, Sony, Unilever etc

ClickHouse

Using EXPLAIN PIPELINE to Decode ClickHouse Query Execution Bottlenecks

ChistaDATA Inc.

Learn to read ClickHouse EXPLAIN PIPELINE processor graphs, spot single-threaded stages and pipeline stalls, and fix production bottlenecks.

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ClickHouse slow query troubleshooting: diagnosing query latency with system.query_log, a ChistaDATA production methodology

Diagnosing Slow ClickHouse Queries with system.query_log: A Production Methodology

ChistaDATA Inc.

Master ClickHouse slow query troubleshooting with a production-proven system.query_log methodology to find, classify, and fix query latency fast.

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ClickHouse Ingestion Performance: Batch Sizing, Async Inserts, and Kafka Pipelines

ChistaDATA Inc.

ClickHouse ingestion performance is decided long before the query planner ever touches your data. It is decided by how many parts your writers create per second, how much background merge work those parts generate, and […]

ClickHouse Merge Performance: Diagnosing Too Many Parts, Slow Merges, and Stuck Mutations

ChistaDATA Inc.

ClickHouse merge performance is the hinge on which every high-ingest MergeTree deployment turns. When background merges keep pace with inserts, part counts stay flat and SELECT latency stays predictable. When they fall behind, the failure […]

Scaling ClickHouse Horizontally: Sharding, Distributed Tables, and Parallel Replicas

ChistaDATA Inc.

Horizontal scale is where most ClickHouse fleets accumulate their deepest operational debt. ClickHouse sharding gets introduced months before the workload justifies it, and once a sharding key is baked into a production Distributed table, unwinding […]

ClickHouse MergeTree Optimization: Sort Keys, Partitioning, Skip Indexes, and Projections

ChistaDATA Inc.

ClickHouse MergeTree optimization is the difference between a table that answers analytical queries in milliseconds and one that scans hundreds of gigabytes for every request. This guide is written for senior engineers who already understand […]

ClickHouse Query Performance Tuning: A Production Diagnostic Playbook

ChistaDATA Inc.

Effective ClickHouse query performance tuning is less about magic settings and more about a repeatable diagnostic loop: measure, read the plan, isolate the bottleneck, change one variable, and re-measure. This playbook is written for senior […]

ClickHouse IOPS Troubleshooting: A Complete Guide to Diagnosing and Fixing Disk I/O Bottlenecks

ChistaDATA Inc.

NEEDS FEATURED IMAGE. ClickHouse IOPS troubleshooting guide for DBAs and SREs: diagnose disk I/O bottlenecks with ClickHouse system tables, verify at the OS layer with iostat and pidstat, fix merge storms and part explosion, tune caches, tier storage, and monitor IOPS continuously with Prometheus and Grafana.

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ClickHouse Shard Contention Troubleshooting: A Complete Guide

ChistaDATA Inc.

ClickHouse shard contention is one of the most frustrating performance problems a distributed database team can face. When a cluster scales out to dozens or hundreds of nodes, the promise of linear scalability quietly breaks […]

ClickHouse Performance Observability and Monitoring: A Complete Whitepaper

ChistaDATA Inc.

ClickHouse performance observability and monitoring is the discipline of measuring, visualizing, and continuously improving how a ClickHouse cluster behaves under real-world workloads. As organizations adopt ClickHouse to power sub-second analytics over petabyte-scale datasets, the gap […]