2026-04-18 14:34:48 +00:00
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filename: samples/sample_kitchensink.xpt
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schemaname: public
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tablename: kitchensink
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# Optional. If set, only these columns are loaded. Mutually exclusive with exclude.
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# include:
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# - ID
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# - INTCOL
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# - DATECOL
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# Optional. Columns to drop.
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# exclude:
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# - ALLNULL
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# What to do if the target table already exists: fail | replace | append
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# Defaults to fail.
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if_exists: append
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2026-04-20 14:56:00 +00:00
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# partition_by: Partition the table by unique values of these columns.
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# Columns are applied in cascading order (first column = top-level partition).
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# Requires if_exists: replace or fail (not append for initial creation).
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# Single field:
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# partition_by: state
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# Multiple fields (cascading):
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# partition_by:
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# - state
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# - zip
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#
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# max_partitions: Warning threshold for total partition count (default: 10000).
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# If the number of partitions exceeds this, a warning is logged but loading continues.
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# max_partitions: 10000
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2026-04-20 15:18:09 +00:00
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# indexes: Create B-tree indexes on these columns after data loading.
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# Indexes are created with IF NOT EXISTS for safe use with append mode.
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# Single column:
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# indexes: state
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# Multiple columns (one index per column):
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# indexes:
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# - state
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# - zip
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2026-04-21 17:14:44 +00:00
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# column_types: Explicit {column_name: postgres_type} overrides that
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# bypass automatic type inference for the listed columns. Useful when
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# pyreadstat reports a column as NUM but you want it stored as TEXT
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# (phone/ID columns that are conceptually strings), or when a column's
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# inferred type is off for any other reason. Columns not listed here
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# fall through to the normal inference path. Nullability is always
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# computed from the data.
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#
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# column_types:
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# RESP_PH_PREFIX_ID: TEXT
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# SOMELONG_ID: BIGINT
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