hi Dan ,
Actually p.txt contain the same schema as in web i.e
{ schema, [ {version, "1.1"}, {default_field, "title"},
{default_op, "or"}, {n_val, 3}, {analyzer_factory, {erlang,
text_analyzers, whitespace_analyzer_factory}} ], [ %% Don't parse
the field, treat it as a single token. {field, [ {name, "id"}
{analyzer_factory, {erlang, text_analyzers, noop_analyzer_factory}}
]},
%% Parse the field in preparation for full-text searching.
{field, [ {name, "title"}, {required, true},
{analyzer_factory, {erlang, text_analyzers, standard_analyzer_factory}}
]},
%% Treat the field as a date, which currently uses
noop_analyzer_factory. {field, [ {name, "published"},
{type, date} ]},
%% Treat the field as an integer. Pad it with zeros to 10 places.
{field, [ {name, "count"}, {type, integer},
{padding_size, 10} ]},
%% A dynamic field. Anything ending in "_text" will use the
standard_analyzer_factory. {dynamic_field, [ {name,
"*_text"}, {analyzer_factory, {erlang, text_analyzers,
standard_analyzer_factory}} ]},
%% A dynamic field. Catches any remaining fields in the %%
document, and uses the analyzer_factory setting defined %% above for the
schema. {dynamic_field, [ {name, "*"} ]} ]}.
Regards,
Muhammad Yousaf
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