forked from vitalif/vitastor
Fix optimize_initial in both perl and js versions
parent
842f88f94f
commit
706a44d4d4
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@ -25,6 +25,8 @@ sub optimize_initial
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{
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my ($osd_tree, $pg_count) = @_;
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my $all_weights = { map { %$_ } values %$osd_tree };
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my $total_weight = 0;
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$total_weight += $all_weights->{$_} for keys %$all_weights;
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my $pgs = all_combinations($osd_tree);
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my $pg_per_osd = {};
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for my $pg (@$pgs)
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@ -35,7 +37,7 @@ sub optimize_initial
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$lp .= "max: ".join(" + ", map { "pg_".join("_", @$_) } @$pgs).";\n";
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for my $osd (keys %$pg_per_osd)
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{
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$lp .= join(" + ", @{$pg_per_osd->{$osd}})." <= ".$all_weights->{$osd}.";\n";
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$lp .= join(" + ", @{$pg_per_osd->{$osd}})." <= ".int($all_weights->{$osd}/$total_weight*$pg_count + 0.5).";\n";
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}
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for my $pg (@$pgs)
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{
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@ -45,9 +47,7 @@ sub optimize_initial
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my ($score, $weights) = lp_solve($lp);
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my $int_pgs = make_int_pgs($weights, $pg_count);
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my $eff = pg_list_space_efficiency($int_pgs, $osd_tree);
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my $total_weight = 0;
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$total_weight += $all_weights->{$_} for keys %$all_weights;
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return { score => $score, weights => $weights, int_pgs => $int_pgs, total_space => $eff * 3, space_eff => $eff * 3 / $total_weight };
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return { score => $score, weights => $weights, int_pgs => $int_pgs, space => $eff, total_space => $total_weight };
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}
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sub make_int_pgs
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@ -224,7 +224,6 @@ sub optimize_change
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for my $k (keys %$weights)
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{
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delete $weights->{$k} if !$weights->{$k};
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print "$k: ".$weights->{$k}."\n" if $weights->{$k};
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}
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my $int_pgs = make_int_pgs($weights, $pg_count);
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# Align them with most similar previous PGs
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@ -261,6 +260,8 @@ sub print_change_stats
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{
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my ($retval) = @_;
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my $new_pgs = $retval->{int_pgs};
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if ($retval->{prev_pgs})
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{
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my $prev_int_pgs = $retval->{prev_pgs};
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for my $i (0..$#$new_pgs)
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{
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@ -270,6 +271,7 @@ sub print_change_stats
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}
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}
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printf("Data movement: ".$retval->{differs}." pgs, ".$retval->{osd_differs}." pg-osds = %.2f %%\n", $retval->{osd_differs} / @$prev_int_pgs / 3 * 100);
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}
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printf("Total space: %.2f TB, space efficiency: %.2f %%\n", $retval->{space} * 3, $retval->{space} * 3 / $retval->{total_space} * 100);
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}
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@ -44,7 +44,7 @@ async function lp_solve(text)
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function make_single(osd_tree)
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{
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const initial = all_combinations(osd_tree, 1)[0];
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const all_weights = Object.assign.apply({}, Object.values(osd_tree));
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const all_weights = Object.assign({}, ...Object.values(osd_tree));
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let weight;
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for (const osd of initial)
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{
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@ -60,10 +60,11 @@ function make_single(osd_tree)
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async function optimize_initial(osd_tree, pg_count)
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{
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const all_weights = Object.assign.apply({}, Object.values(osd_tree));
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const all_pgs = all_combinations($osd_tree);
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const all_weights = Object.assign({}, ...Object.values(osd_tree));
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const total_weight = Object.values(all_weights).reduce((a, c) => Number(a) + Number(c));
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const all_pgs = all_combinations(osd_tree, null, true);
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const pg_per_osd = {};
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for (const pg in all_pgs)
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for (const pg of all_pgs)
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{
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for (const osd of pg)
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{
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@ -75,18 +76,18 @@ async function optimize_initial(osd_tree, pg_count)
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lp += "max: "+all_pgs.map(pg => 'pg_'+pg.join('_')).join(' + ')+";\n";
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for (const osd in pg_per_osd)
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{
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lp += pg_per_osd[osd].join(' + ')+' <= '+all_weights[osd]+';\n';
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const osd_pg_count = all_weights[osd]*3/total_weight*pg_count;
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lp += pg_per_osd[osd].join(' + ')+' <= '+Math.round(osd_pg_count)+';\n';
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}
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for (const pg of all_pgs)
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{
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lp += 'pg_'+pg.join('_')+" >= 0;\n";
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}
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lp += "int "+all_pgs.map(pg => 'pg_'+pg.join('_')).join(', ')+";\n";
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const [ score, weights ] = await lp_solve(lp);
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const int_pgs = make_int_pgs(weights, pg_count);
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const eff = pg_list_space_efficiency(int_pgs, osd_tree);
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const total_weight = Object.values(all_weights).reduce((a, c) => Number(a) + Number(c));
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return { score, weights, int_pgs, total_space: eff*3, space_eff: eff*3/total_weight };
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const lp_result = await lp_solve(lp);
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const int_pgs = make_int_pgs(lp_result.vars, pg_count);
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const eff = pg_list_space_efficiency(int_pgs, all_weights);
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return { score: lp_result.score, weights: lp_result.vars, int_pgs, space: eff, total_space: total_weight };
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}
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function make_int_pgs(weights, pg_count)
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@ -110,7 +111,8 @@ function make_int_pgs(weights, pg_count)
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function get_int_pg_weights(prev_int_pgs, osd_tree)
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{
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const space = pg_list_space_efficiency(prev_int_pgs, osd_tree);
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const all_weights = Object.assign({}, ...Object.values(osd_tree));
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const space = pg_list_space_efficiency(prev_int_pgs, all_weights);
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const prev_weights = {};
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let count = 0;
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for (const pg of prev_int_pgs)
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@ -172,7 +174,7 @@ async function optimize_change(prev_int_pgs, osd_tree)
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}
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// Calculate total weight - old PG weights
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const all_pg_names = all_pgs.map(pg => 'pg_'+pg.join('_'));
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const all_weights = Object.assign.apply({}, Object.values(osd_tree));
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const all_weights = Object.assign({}, ...Object.values(osd_tree));
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const total_weight = Object.values(all_weights).reduce((a, c) => Number(a) + Number(c));
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// Generate the LP problem
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let lp = '';
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@ -181,8 +183,8 @@ async function optimize_change(prev_int_pgs, osd_tree)
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for (const osd in pg_per_osd)
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{
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const osd_sum = (pg_per_osd[osd]||[]).map(pg_name => prev_weights[pg_name] ? `add_${pg_name} - del_${pg_name}` : pg_name).join(' + ');
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const osd_weight = all_weights[osd]*3/total_weight*pg_count - (prev_pg_per_osd[osd]||[]).length;
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lp += osd_sum + ' <= ' + Math.round(osd_weight) + ';\n';
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const osd_pg_count = all_weights[osd]*3/total_weight*pg_count - (prev_pg_per_osd[osd]||[]).length;
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lp += osd_sum + ' <= ' + Math.round(osd_pg_count) + ';\n';
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}
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let pg_vars = [];
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for (const pg_name of all_pg_names)
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@ -259,7 +261,7 @@ async function optimize_change(prev_int_pgs, osd_tree)
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int_pgs: new_pgs,
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differs,
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osd_differs,
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space: pg_list_space_efficiency(new_pgs, osd_tree),
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space: pg_list_space_efficiency(new_pgs, all_weights),
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total_space: total_weight,
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};
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}
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@ -268,6 +270,8 @@ function print_change_stats(retval)
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{
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const new_pgs = retval.int_pgs;
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const prev_int_pgs = retval.prev_pgs;
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if (prev_int_pgs)
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{
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for (let i = 0; i < new_pgs.length; i++)
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{
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if (new_pgs[i].join('_') != prev_int_pgs[i].join('_'))
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@ -279,6 +283,7 @@ function print_change_stats(retval)
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"Data movement: "+retval.differs+" pgs, "+
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retval.osd_differs+" pg*osds = "+Math.round(retval.osd_differs / prev_int_pgs.length / 3 * 10000)/100+" %"
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);
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}
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console.log(
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"Total space: "+Math.round(retval.space*3*100)/100+" TB, space efficiency: "+
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Math.round(retval.space*3/retval.total_space*10000)/100+" %"
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@ -338,22 +343,22 @@ function all_combinations(osd_tree, count, ordered)
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{
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const hosts = Object.keys(osd_tree).sort();
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const osds = Object.keys(osd_tree).reduce((a, c) => { a[c] = Object.keys(osd_tree[c]).sort(); return a; }, {});
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let h = [ 0, 1, 2 ];
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let o = [ 0, 0, 0 ];
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let host_idx = [ 0, 1, 2 ];
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let osd_idx = [ 0, 0, 0 ];
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const r = [];
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while (!count || count < 0 || r.length < count)
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{
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let inc;
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if (h[2] != h[1] && h[2] != h[0] && h[1] != h[0])
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if (host_idx[2] != host_idx[1] && host_idx[2] != host_idx[0] && host_idx[1] != host_idx[0])
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{
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r.push(h.map((host_idx, i) => osds[hosts[host_idx]][o[i]]));
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r.push(host_idx.map((hi, i) => osds[hosts[hi]][osd_idx[i]]));
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inc = 2;
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while (inc >= 0)
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{
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o[inc]++;
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if (o[inc] >= osds[hosts[h[inc]]].length)
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osd_idx[inc]++;
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if (osd_idx[inc] >= osds[hosts[host_idx[inc]]].length)
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{
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o[inc] = 0;
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osd_idx[inc] = 0;
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inc--;
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}
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else
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@ -369,18 +374,18 @@ function all_combinations(osd_tree, count, ordered)
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if (inc < 0)
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{
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// no osds left in current host combination, select the next one
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o = [ 0, 0, 0 ];
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h[2]++;
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if (h[2] >= hosts.length)
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osd_idx = [ 0, 0, 0 ];
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host_idx[2]++;
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if (host_idx[2] >= hosts.length)
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{
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h[1]++;
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h[2] = ordered ? h[1]+1 : 0;
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if ((ordered ? h[2] : h[1]) >= hosts.length)
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host_idx[1]++;
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host_idx[2] = ordered ? host_idx[1]+1 : 0;
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if ((ordered ? host_idx[2] : host_idx[1]) >= hosts.length)
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{
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h[0]++;
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h[1] = ordered ? h[0]+1 : 0;
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h[2] = ordered ? h[1]+1 : 0;
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if ((ordered ? h[2] : h[0]) >= hosts.length)
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host_idx[0]++;
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host_idx[1] = ordered ? host_idx[0]+1 : 0;
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host_idx[2] = ordered ? host_idx[1]+1 : 0;
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if ((ordered ? host_idx[2] : host_idx[0]) >= hosts.length)
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{
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break;
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}
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@ -391,7 +396,7 @@ function all_combinations(osd_tree, count, ordered)
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return r;
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}
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function pg_weights_space_efficiency(weights, pg_count, osd_tree)
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function pg_weights_space_efficiency(weights, pg_count, osd_sizes)
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{
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const per_osd = {};
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for (const pg_name in weights)
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@ -401,10 +406,10 @@ function pg_weights_space_efficiency(weights, pg_count, osd_tree)
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per_osd[osd] = (per_osd[osd]||0) + weights[pg_name];
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}
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}
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return pg_per_osd_space_efficiency(per_osd, pg_count, osd_tree);
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return pg_per_osd_space_efficiency(per_osd, pg_count, osd_sizes);
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}
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function pg_list_space_efficiency(pgs, osd_tree)
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function pg_list_space_efficiency(pgs, osd_sizes)
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{
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const per_osd = {};
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for (const pg of pgs)
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@ -414,21 +419,20 @@ function pg_list_space_efficiency(pgs, osd_tree)
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per_osd[osd] = (per_osd[osd]||0) + 1;
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}
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}
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return pg_per_osd_space_efficiency(per_osd, pgs.length, osd_tree);
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return pg_per_osd_space_efficiency(per_osd, pgs.length, osd_sizes);
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}
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function pg_per_osd_space_efficiency(per_osd, pg_count, osd_tree)
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function pg_per_osd_space_efficiency(per_osd, pg_count, osd_sizes)
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{
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const all_weights = Object.assign.apply({}, Object.values(osd_tree));
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// each PG gets randomly selected in 1/N cases
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// => there are x PGs per OSD
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// & there are x PGs per OSD
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// => an OSD is selected in x/N cases
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// => total space * x/N <= OSD weight
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// => total space <= OSD weight * N/x
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// => total space * x/N <= OSD size
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// => total space <= OSD size * N/x
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let space;
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for (let osd in per_osd)
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{
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const space_estimate = all_weights[osd] * pg_count / per_osd[osd];
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const space_estimate = osd_sizes[osd] * pg_count / per_osd[osd];
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if (space == null || space > space_estimate)
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{
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space = space_estimate;
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@ -0,0 +1,39 @@
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const LPOptimizer = require('./lp-optimizer.js');
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const osd_tree = {
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100: {
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7: 3.63869,
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},
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300: {
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10: 3.46089,
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11: 3.46089,
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12: 3.46089,
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},
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400: {
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1: 3.49309,
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2: 3.49309,
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3: 3.49309,
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},
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500: {
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4: 3.58498,
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// 8: 3.58589,
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9: 3.63869,
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},
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600: {
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5: 3.63869,
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6: 3.63869,
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},
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};
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async function run()
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{
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// Test: add 1 OSD of almost the same size. Ideal data movement could be 1/12 = 8.33%. Actual is ~11.72%
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// Space efficiency is ~99.5% in both cases.
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let prev = await LPOptimizer.optimize_initial(osd_tree, 256);
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LPOptimizer.print_change_stats(prev);
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osd_tree[500][8] = 3.58589;
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let next = await LPOptimizer.optimize_change(prev.int_pgs, osd_tree);
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LPOptimizer.print_change_stats(next);
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}
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run().catch(console.error);
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@ -24,12 +24,13 @@ my $osd_tree = {
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},
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500 => {
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4 => 3.58498,
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9 => 3.63869,
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# 8 => 3.58589,
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9 => 3.63869,
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},
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};
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my $prev = LPOptimizer::optimize_initial($osd_tree, 256);
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my $int = LPOptimizer::get_int_pg_weights($prev->{int_pgs}, $osd_tree);
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LPOptimizer::print_change_stats($prev);
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$osd_tree->{500}->{8} = 3.58589;
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LPOptimizer::optimize_change($prev->{int_pgs}, $osd_tree);
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my $next = LPOptimizer::optimize_change($prev->{int_pgs}, $osd_tree);
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LPOptimizer::print_change_stats($next);
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