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tables-and-expressions

tables-and-expressions

Build Hail Table and expression pipelines for imports, keys, joins, aggregations, schema inspection, previews, exports, and expression-scope troubleshooting.

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Documentation de la Skill

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name: tables-and-expressions description: "Build Hail Table and expression pipelines for imports, keys, joins, aggregations, schema inspection, previews, exports, and expression-scope troubleshooting." disable-model-invocation: true metadata: disco-role: operating license: MIT

Hail Tables and Expressions

Use this sub-skill for Hail Table pipelines and row-indexed expression work: hl.import_table, hl.read_table, Table.write, Table.export, annotate, filter, select, key_by, keyed joins, group_by, hl.agg, schema inspection, small local previews, missing values, Struct fields, interval lookups, and expression source/index errors.

Before executing Hail queries, use ../setup-and-backends/SKILL.md to choose and initialize the backend. This sub-skill assumes backend setup is already handled.

Start Here

  • For end-to-end import, schema, key, join, aggregation, and export recipes, read references/table-workflows.md.
  • For compact signatures and method behavior, read references/api-reference.md.
  • For expression-scope, missingness, import, join, preview, and write failures, read references/troubleshooting.md.
  • For a safe dry-run-first starting point, adapt scripts/table_pipeline_template.py.

Route Elsewhere

  • MatrixTable rows, columns, entries, VCF/PLINK/BGEN, genotype fields, and genomic QC belong in ../genomics-analysis/SKILL.md.
  • Variant Dataset, sparse GVCF, combiner, and VDS dense/sparse conversion workflows belong in ../variant-datasets/SKILL.md.
  • Hail install/import, hl.init, Spark/local/Batch backend choice, Java/JAR/package asset failures, and root import troubleshooting belong in ../setup-and-backends/SKILL.md.
  • hailtop.batch DAGs, local/service Batch jobs, hailctl, Dataproc, HDInsight, and cloud CLI operations belong in ../batch-and-cli/SKILL.md.

Working Rules

  • Rebind each table-returning transformation before using fields again: ht = ht.filter(...), then reference ht.field from the rebound table.
  • Use bracket access for imported names that are not valid identifiers or that collide with methods: ht["sample id"], ht["case.status"], ht["select"].
  • Key both sides before joins or bracket-index lookup; key count, order, and Hail types must match even when key field names differ.
  • Keep hl.agg inside supported aggregation contexts such as ht.aggregate(...) and ht.group_by(...).aggregate(...).
  • Prefer explicit types={...} for stable text imports; use impute=True only for exploration and review inferred identifier types.
  • Inspect with describe(), row.dtype, globals.dtype, key, head(n).show(), and small take(n) calls before large writes, exports, or joins.
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