altinity-expert-clickhouse-schema

Table Schema and Design Analysis

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Install skill "altinity-expert-clickhouse-schema" with this command: npx skills add altinity/skills/altinity-skills-altinity-expert-clickhouse-schema

Table Schema and Design Analysis

Analyze table structure, partitioning, ORDER BY, materialized views, and identify design anti-patterns.

Diagnostics

Run all queries from the file checks.sql and analyze the results.

Deep Dive Queries (Placeholder-Based)

Partition Distribution for Specific Table

select database, table, count() as partitions, sum(rows) as total_rows, formatReadableSize(sum(bytes_on_disk)) as total_size, formatReadableSize(median(bytes_on_disk)) as median_partition_size, min(partition) as oldest_partition, max(partition) as newest_partition from system.parts where active and database = '{database}' and table = '{table}' group by database, table, partition order by partition desc limit 100

Column Compression Analysis for Specific Table

select name, type, formatReadableSize(data_compressed_bytes) as compressed, formatReadableSize(data_uncompressed_bytes) as uncompressed, round(data_uncompressed_bytes / nullIf(data_compressed_bytes, 0), 2) as ratio, compression_codec from system.columns where database = '{database}' and table = '{table}' order by data_compressed_bytes desc limit 50

Look for:

  • Columns with ratio < 2 → consider better codec or data transformation

  • Large columns without codec → add CODEC(ZSTD) or LZ4HC

  • String columns with low cardinality → consider LowCardinality(String)

Index Usage Analysis for Specific Database

select database, table, name as index_name, type, expr, granularity from system.data_skipping_indices where database = '{database}' order by database, table

Schema Design Recommendations

Partition Key Guidelines

Data Volume Recommended Granularity Example

< 10GB/month No partitioning or yearly toYear(ts)

10-100GB/month Monthly toYYYYMM(ts)

100GB-1TB/month Weekly or daily toMonday(ts)

1TB/month Daily toDate(ts)

ORDER BY Guidelines

  • First column: Low cardinality, frequently filtered (e.g., tenant_id , region )

  • Second column: Time-based if range queries common

  • Subsequent: Other filter columns by selectivity (most selective last)

Anti-patterns:

  • UUID/hash as first column

  • High-cardinality ID without tenant prefix

  • DateTime64 with microseconds as first column

Compression Codec Recommendations

Data Type Recommended Codec

Integers (sequential) Delta, ZSTD

Integers (random) ZSTD or LZ4HC

Floats Gorilla, ZSTD

Timestamps DoubleDelta, ZSTD

Strings (long) ZSTD(3)

Strings (repetitive) LowCardinality

  • ZSTD

Cross-Module Triggers

Finding Load Module Reason

Many small partitions altinity-expert-clickhouse-ingestion

Check batch sizing

Oversized partitions altinity-expert-clickhouse-merges

Merge can't complete

High PK memory altinity-expert-clickhouse-memory

Memory pressure

MV performance issues altinity-expert-clickhouse-reporting

Query analysis

Too many parts per partition altinity-expert-clickhouse-merges

Merge backlog

Settings Reference

Setting Default Recommendation

index_granularity

8192 Lower for point lookups, higher for scans

ttl_only_drop_parts

0 Set to 1 if TTL deletes entire partitions

min_bytes_for_wide_part

10MB Increase if many small parts

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