Trino To Hive Migration

by treasure-data

skill

Convert Trino queries to Hive when memory errors occur. Covers syntax differences (td_time_string→TD_TIME_FORMAT, REGEXP_LIKE→RLIKE, ARRAY_AGG→COLLECT_LIST) and engine selection.

Skill Details

Repository Files

1 file in this skill directory


name: trino-to-hive-migration description: Convert Trino queries to Hive when memory errors occur. Covers syntax differences (td_time_string→TD_TIME_FORMAT, REGEXP_LIKE→RLIKE, ARRAY_AGG→COLLECT_LIST) and engine selection.

Trino to Hive Migration

When to Migrate

Use Hive when Trino fails with:

  • Query exceeded per-node memory limit
  • Query exceeded distributed memory limit
  • Processing > 1 month of data, complex multi-way JOINs, high cardinality GROUP BY

Syntax Conversion

Trino Hive
td_time_string(time, 'd!', 'JST') TD_TIME_FORMAT(time, 'yyyy-MM-dd', 'JST')
approx_distinct(col) approx_distinct(col) (Hivemall - compatible!)
approx_percentile(col, 0.95) percentile(col, 0.95)
array_agg(col) collect_list(col)
string_agg(col, ',') concat_ws(',', collect_list(col))
regexp_like(col, 'pattern') col rlike 'pattern'
Automatic small table join /*+ MAPJOIN(t) */

Example Migration

Trino (fails with memory error):

select
  td_time_string(time, 'd!', 'JST') as date,
  approx_distinct(session_id) as sessions
from events
where td_time_range(time, '2024-01-01', '2024-12-31')
group by td_time_string(time, 'd!', 'JST')

Hive (works):

select
  TD_TIME_FORMAT(time, 'yyyy-MM-dd', 'JST') as date,
  approx_distinct(session_id) as sessions
from events
where td_time_range(time, '2024-01-01', '2024-12-31', 'JST')
group by TD_TIME_FORMAT(time, 'yyyy-MM-dd', 'JST')

Engine Selection

In Digdag:

+query_trino:
  td>: queries/analysis.sql
  engine: presto

+query_hive:
  td>: queries/analysis.sql
  engine: hive

In TD Toolbelt:

td query -d database_name -T presto "SELECT ..."
td query -d database_name -T hive "SELECT ..."

Performance Tips for Hive

-- MAPJOIN hint for small tables
select /*+ MAPJOIN(small_table) */ *
from large_table l
join small_table s on l.id = s.id

-- Process in chunks for very large datasets
where td_interval(time, '-1d', 'JST')  -- Daily instead of yearly

Typical Timeline

  • Trino: Fails after 5 min with memory error
  • Hive: Completes in 20-30 min successfully

Related Skills

Attack Tree Construction

Build comprehensive attack trees to visualize threat paths. Use when mapping attack scenarios, identifying defense gaps, or communicating security risks to stakeholders.

skill

Grafana Dashboards

Create and manage production Grafana dashboards for real-time visualization of system and application metrics. Use when building monitoring dashboards, visualizing metrics, or creating operational observability interfaces.

skill

Matplotlib

Foundational plotting library. Create line plots, scatter, bar, histograms, heatmaps, 3D, subplots, export PNG/PDF/SVG, for scientific visualization and publication figures.

skill

Scientific Visualization

Create publication figures with matplotlib/seaborn/plotly. Multi-panel layouts, error bars, significance markers, colorblind-safe, export PDF/EPS/TIFF, for journal-ready scientific plots.

skill

Seaborn

Statistical visualization. Scatter, box, violin, heatmaps, pair plots, regression, correlation matrices, KDE, faceted plots, for exploratory analysis and publication figures.

skill

Shap

Model interpretability and explainability using SHAP (SHapley Additive exPlanations). Use this skill when explaining machine learning model predictions, computing feature importance, generating SHAP plots (waterfall, beeswarm, bar, scatter, force, heatmap), debugging models, analyzing model bias or fairness, comparing models, or implementing explainable AI. Works with tree-based models (XGBoost, LightGBM, Random Forest), deep learning (TensorFlow, PyTorch), linear models, and any black-box model

skill

Pydeseq2

Differential gene expression analysis (Python DESeq2). Identify DE genes from bulk RNA-seq counts, Wald tests, FDR correction, volcano/MA plots, for RNA-seq analysis.

skill

Query Writing

For writing and executing SQL queries - from simple single-table queries to complex multi-table JOINs and aggregations

skill

Pydeseq2

Differential gene expression analysis (Python DESeq2). Identify DE genes from bulk RNA-seq counts, Wald tests, FDR correction, volcano/MA plots, for RNA-seq analysis.

skill

Scientific Visualization

Meta-skill for publication-ready figures. Use when creating journal submission figures requiring multi-panel layouts, significance annotations, error bars, colorblind-safe palettes, and specific journal formatting (Nature, Science, Cell). Orchestrates matplotlib/seaborn/plotly with publication styles. For quick exploration use seaborn or plotly directly.

skill

Skill Information

Category:Skill
Last Updated:12/22/2025