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...I would like to analyze the data in the data.frame by Region, Industry, Date (I would like to collapse the whole think to weekly data) and by the three different answering options {1,2,3} in V1...VN. In stata which I used before i did this step by step with a loop over all questions (V1...VN): egen pos_`X'=total(`X'==1), by(industry week_year); egen pos_`X'=total(`X'==2, by(industry week_year). This step-by-step procedure works because stata, even if the dates are displayed as weeks, doesn't aggregate the values immediately. Unfortunately there seems to be no command which work...

This patch set contains two parts of changes to the virtio-balloon. One is the change for speeding up the inflating & deflating process, the main idea of this optimization is to use bitmap to send the page information to host instead of the PFNs, to reduce the overhead of virtio data transmission, address translation and madvise(). This can help to improve the performance by about 85%.

This patch set contains two parts of changes to the virtio-balloon. One is the change for speeding up the inflating & deflating process, the main idea of this optimization is to use bitmap to send the page information to host instead of the PFNs, to reduce the overhead of virtio data transmission, address translation and madvise(). This can help to improve the performance by about 85%.

This patch set contains two parts of changes to the virtio-balloon. One is the change for speeding up the inflating & deflating process, the main idea of this optimization is to use bitmap to send the page information to host instead of the PFNs, to reduce the overhead of virtio data transmission, address translation and madvise(). This can help to improve the performance by about 85%.

This patch set contains two parts of changes to the virtio-balloon. One is the change for speeding up the inflating & deflating process, the main idea of this optimization is to use bitmap to send the page information to host instead of the PFNs, to reduce the overhead of virtio data transmission, address translation and madvise(). This can help to improve the performance by about 85%.

...f396e213df0d8bcffa473a75ebf228d6>(const std::string &tname_, Xapian::termcount<http://xapian.org/docs/apidoc/html/namespaceXapian.html#72b5a76dd8cfb7b251fe7986e86390cb>wqf_=1, Xapian::termpos<http://xapian.org/docs/apidoc/html/namespaceXapian.html#e5a16f073d0c8ed54085a9de07248d45>pos_=0) : Xapian::Query query_test(Xapian::Query::OP_OR, Xapian::Query("Bonjour", 10), Xapian::Query("Hello", 5)); Xapian::TermIterator qt = query_test.get_terms_begin(); while (qt != query_test.get_terms_end()) { cout<<*qt<<" "<<qt....

...0d8bcffa473a75ebf228d6>(const std::string &tname_, > Xapian::termcount<http://xapian.org/docs/apidoc/html/namespaceXapian.html#72b5a76dd8cfb7b251fe7986e86390cb>wqf_=1, > Xapian::termpos<http://xapian.org/docs/apidoc/html/namespaceXapian.html#e5a16f073d0c8ed54085a9de07248d45>pos_=0) : > > Xapian::Query query_test(Xapian::Query::OP_OR, Xapian::Query("Bonjour", > 10), Xapian::Query("Hello", 5)); > Xapian::TermIterator qt = query_test.get_terms_begin(); > while (qt != query_test.get_terms_end()) > { > cout<<*...