Read Primitives — JSON Extract Simple

Read Primitives benchmark · all Read Primitives queries

Extract from JSON with simple path expressions

Representative SQL

Rendered in the benchmark’s native SQL with default parameters (no dialect translation available).

SELECT
  o_orderkey,
  JSON_EXTRACT(o_comment, '$.priority') AS order_priority,
  JSON_EXTRACT(o_comment, '$.notes') AS order_notes
FROM orders
WHERE
  NOT JSON_EXTRACT(o_comment, '$.priority') IS NULL
LIMIT 1000

Representative DataFrame

Expression family (Polars, PySpark, DataFusion), default parameters.

def json_extract_simple_expression_impl(ctx: DataFrameContext) -> Any:
    orders = ctx.get_table("orders")
    col = ctx.col
    lit = ctx.lit

    return (
        orders.with_columns(
            col("o_comment").str.split(" ").list.get(0).alias("first_word"),
            col("o_comment").str.len_chars().alias("comment_length"),
        )
        .filter(col("comment_length") > lit(10))
        .select("o_orderkey", "o_comment", "first_word", "comment_length")
        .limit(1000)
    )

Get the exact query for your run

The blocks above are representative. To get the precise statement a specific platform runs at a specific scale, substitute your own values:

from benchbox import ReadPrimitives

bench = ReadPrimitives(scale_factor=0.01)            # your scale factor
queries = bench.get_queries(dialect="datafusion")   # your platform's dialect; drop dialect= for native SQL
print(queries['json_extract_simple'])

For the DataFrame form:

from benchbox.core.query_catalog import get_dataframe_render

print(get_dataframe_render('read_primitives', 'json_extract_simple', family="expression").source)  # or family="pandas"

Source

Query text: benchbox/core/read_primitives/queries.py