Warning

SingleStore 9.0 gives you the opportunity to preview, evaluate, and provide feedback on new and upcoming features prior to their general availability. In the interim, SingleStore 8.9 is recommended for production workloads, which can later be upgraded to SingleStore 9.0.

Query 4

This is a portfolio aggregation query that uses Common Table Expression (CTE), JOIN, and window functions. It also computes min, max, standard deviation, weighted average, and percentiles for each company stock.

SQL

WITH folio AS (
  SELECT id, stock_symbol, shares, share_price, trade_time
  FROM trade
),
AggCalcs AS (
  SELECT
    stock_symbol AS ACsymb,
    MAX(share_price) AS pmax,
    MIN(share_price) AS pmin,
    STD(share_price) AS pstd,
    SUM(share_price*shares)/SUM(shares) AS avg_pps,  ## Weighted Average
    SUM(share_price*shares) AS total_pvalue
  FROM trade
  GROUP BY 1
)
SELECT
  DISTINCT folio.stock_symbol,
  avg_pps,
  pmin,
  pmax,
  percentile_cont(.25) WITHIN group (ORDER BY share_price) OVER (PARTITION BY stock_symbol) AS Q1,
  percentile_cont(.5) WITHIN group (ORDER BY share_price) OVER (PARTITION BY stock_symbol)  AS median,
  percentile_cont(.75) WITHIN group (ORDER BY share_price) OVER (PARTITION BY stock_symbol) AS Q3
FROM folio
JOIN AggCalcs ON (folio.stock_symbol = ACsymb)
ORDER BY folio.stock_symbol;

Query 4

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